Conference Proceeding Papers

2024

1. F, Sawa, D. Fujita, K. Shimada, K. Ishii, and S, Kobashi, "Enhancing Differentiation Accuracy of Idiopathic Normal Pressure Hydrocephalus by Simultaneously Assessing GM and WM Using a Multi-input CNN in MRI," Hydrocephalus 2024, in press.

2. N. A. Roza, R. Rahman, D. Fujita, S. Misaki, A. Seko, S. Tsuji, Y. Watanabe, and S. Kobashi, "Novel Cine MRI Feature Extraction Method for Assessing Cesarean Scar Syndrome," World Automation Congress, in press.

3. N. Takashima, S. Ando, D. Fujita, M. Nii, K. Ando, R. Ishikura, and S. Kobashi, "Effects of Brain Injury on Brain Age Estimation in Pediatric Brain CT images,"  World Automation Congress, in press.

4. A. Nagasawa, D. Fujita, S. Watanabe, N. Ren, K. Iihara, and S. Kobashi, "Hierarchical U-Net and Image Patch Technique for Intracerebral Hematoma Segmentation in Thick-Slice CT Images," World Automation Congress, in press.

5. M. A. Ali, D. Fujita, S. Kobashi, "Advanced YOLOv7-Based Detection and Enumeration of Teeth and Restorations in Panoramic X-rays," Proceedings of International Conference on Machine Learning and Cybernetics. 2024.

6. F. Sawa, D. Fujita, K. Shimada, K. Ishii, and S. Kobashi, "Differentiating Idiopathic Normal Pressure Hydrocephalus Using Multi-Head Attention CNN with Diversify-Loss in Brain MRI," Proc. of 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS), 2024.

7. S. Ishida, K. Morita, K. Hatakeyama, N. Ren, S. Watanabe, S. Kobashi, K. Iihara, and T. Wakabayashi, "Prediction of Cardiovascular Disease Development for CEA Patients Using Multimodal Learning," Proc. of 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS), 2024.

8. Md. A. Ali, D. Fujita, Y. Makihara, K. Noguchi, and S. Kobashi, "Automated Depth-Level Classification of Impacted Mandibular Third Molars Using Deep Learning on Panoramic X-Rays," Proc. of 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS), 2024.

9. Md. A. Ali, D. Fujita, and S. Kobashi, "Automated Detection and Classification of Mandibular Third Molar Impactions in Panoramic X-Rays," Proc. of 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS), 2024.

10. S. Kobayashi, D. Fujita, H. hibutani, S. Gohara, and S. Kobashi, "ESWL Outcome Prediction with SMOTE and Stratified Sampling," Proc. of 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS), 2024.

2023

11. K. Oka, D. Fujita, Y. Nohara, S. Inoue, K. Arimura, K. Iihara, and S. Kobashi, "Discrimination of ICH and IVH in Initial CT Images Using Hierarchical Region Extraction Мethod," 2023 Int. Workshop on Advanced Image Technology (IWAIT), 2023.

12. R. Maeda, D. Fujita, K. Tanaka, J. Ozawa, M. Haga, N. Miyahara, F. Nanba, and S. Kobashi, "Predicting the Development of Chronic Lung Disease in Neonataes from Chest X-ray Images Using Deep Learning," 2023 IEEE 53rd International Symposium on Multiple-Valued Logic (ISMVL), 2023.

13. K. Sasaki, D. Fujita, K. Takatsuji, Y. Kotokura, M. Minami, Y. Kobayashi, T. Sukenari, Y. Kida, K. Takahashi, and S. Kobashi, "Detection of Osteochondritis Dissecans Using Convolutional Neural Networks for Computer-aided Diagnosis of Baseball Elbow," 2023 IEEE 53rd International Symposium on Multiple-Valued Logic (ISMVL), 2023.

14. S. B. Alam, R. Rahman, M. Ashraful, and S. Kobashi, "Kidney Tumor Recognition from Abdominal CT Images using Transfer Learning", 2023 IEEE 53rd International Symposium on Multiple-Valued Logic (ISMVL), 2023.

15. R. Rahman, D. Fujita, N. Yagi, and S. Kobashi, "Fracture Recognition from Pelvic X-ray Images Using Deep Convolutional Neural Networks (DCNN)," Int. Conf. on Technology, Business and Justice Towards Smart Bangladesh, 2023.

16. T. Mori, D. Fujita, S. Kobashi, "Radiomics Based Prediction of Symptomatic Carotid Plaque in MR Images," Int. Conf. on Machine Learning and Cybernetics 2023, 2023.

17. N. Kondo, D. Fujita, S. Kobashi, and T. Fujita, "Prediction of Bed-Leaving Behaviors Using Edge AI to Prevent Medical Accidents," SMC2023, 2023.

18. S. Ishida, K. Morita, N. Ren, S. Watanabe, S. Kobashi, K. Hatakeyama, K. Iihara, and T. Wakabayashi, "Prognostic Estimation of Cardiovascular Disease Using Anomaly Detection and Pathological Image of CEA Patients," 17th International Conference on Innovative Computing, Information and Control (ICICIC2023), 2023.

19. N. Takashima, D. Fujita, T. Sanuki, Y. Kinoshita, and S. Kobashi, "A Preliminary Study on Abdominal X-Ray Image Segmentation Using U-Net Models," 17th International Conference on Innovative Computing, Information and Control (ICICIC2023), 2023.

20. S. Kobayashi, D. Fujita, H. Shibutani, S. Gohara, and S. Kobashi, "Prediction of ESWL Outcome by Combining CT/X-Ray Images and Clinical Findings," 17th International Conference on Innovative Computing, Information and Control (ICICIC2023), 2023.

21. S. A. U. Alam, S. Alam, S. Saha, M. Haque, R. Rahman, and S. Kobashi, "Pelvic bone region segmentation (PBRS) from X-ray image using convolutional neural network (CNN)," 2023 26th International Conference on Computer and Information Technology (ICCIT), in press.

22. Md. A. Ali,D. Fujita, and S. Kobashi, "Teeth detection and numbering method in dental panoramic X-ray images using YOLOv7," The 24th International Symposium on Advanced Intelligent Systems (ISIS), pp. 451-457, 2023.

23. N. Takashima, D. Fujita, and S. Kobashi, "Comparison of U-Net Backbones on Segmenting Gas and Stool Regions from Abdominal X-Ray Images," The 24th International Symposium on Advanced Intelligent Systems (ISIS), pp. 457-461, 2023.

24. S. Kobayashi, D. Fujita, and S. Kobashi, "Interpretability of ESWL Outcome Prediction Model and Feature Selection Using SHAP values,"  The 24th International Symposium on Advanced Intelligent Systems (ISIS), pp. 462-466, 2023.

25. R. Maeda, D. Fujita, and S. Kobashi, "Deep Learning Approach for Early Detection and Prediction of Chronic Lung Disease in Neonates Chest X-ray Images," The 24th International Symposium on Advanced Intelligent Systems (ISIS), pp. 525-528, 2023.

26. Y. Muroi, D. Fujita, S. Kobashi, and T. Fujita, "A Preliminary Study on a Sheet-Type Self-Extubation Detection Device", The 24th International Symposium on Advanced Intelligent Systems (ISIS), pp. 515-518, 2023.

27. K. Sasaki, D. Fujita, and S. Kobashi, "Detection of Osteochondritis Dissecans from Ultrasound Images by Ensemble Deep Learning," The 24th International Symposium on Advanced Intelligent Systems (ISIS), pp. 519-524, 2023.

28. T. T. Mayabee, K. T. Haque, S. B. Alam, R. Rahman, M A. Amin, and S. Kobashi, "ECG Signal Classification Using Transfer Learning and Convolutional Neural Networks," Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering: TCCE 2022, pp. 243-254, 2023.

2022

1. N. Yamamoto, Md R. Rahman, D. Fujita, N. Yagi, K. Hayashi, A. Maruo, H. Muratsu, and, S. Kobashi, "The challenge of detecting impact fracture of the pelvis in CT images using the CNN model," 2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech), 2022.

2. K. Sasaki, D. Fujita, K. Takatsuji, Y. Kotoura, M. Minami, Y. Kobayashi, T. Suenari, Y. Kida, K. Takahashi, and S. Kobashi, "Detection of osteochondritis dissecans in ultrasound images for computer-aided diagnosis of baseball elbow," 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022.

3. R. Maeda, D. Fujita, K. Tanaka, J. Ozawa, M. Haga, F. Nanba, and S. Kobashi, "Predicting the severity of neonatal chronic lung disease from chest X-ray images using deep learning," 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022. 

4. K. Oka, Md. A. Ali, D. Fujita, S. Kobashi, "Tooth Recognition in X-ray Dental Panoramic Images with Prosthetic Detection", the proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC) 2022, 2022.

5. R. Morita, S. Ando, D. Fujita, S. Ishikawa, K. Onoue, K. Ando, R. Ishikura, and S. Kobashi, "Pediatric Brain CT Image Segmentation Methods Affective Age Prediction Models," World Automation Congress (WAC) 2022, 2022.

6. R. Morita, S. Ando, D. Fujita, S. Ishikawa, K. Onoue, K. Ando, R. Ishikura, and S. Kobashi, "Quantification of Pediatric Brain Development with X-ray CT Images using 3D-CNN," 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS) , 2022.

7. Y. Muroi, T. Fujita, K. Takahama, S. Kobashi, D. Fujita, "Medical Tubing Self-Extraction Trouble Avoidance Support System Using Flexible Sensor and IoT," 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS), 2022.

8. D. Fujita, S. Gohara, H. Shibutani, and S. Kobashi, "Evaluation Ureteral Stone Fragility using CNN," The 54th ISCIE International Symposium on Stochastic Systems Theory and Its Applications.

 2021

1. K. Oka, T. Hirahara, Y. Nohara, S. Inoue, K. Ariumura, K. Iihara, and S. Kobashi, "Predictors of Intracerebral Hematoma Enlargement Using Brain CT Images in Emergency Medical Care," The biennial International Conference on Cybernetics, 2021. https://doi.org/10.1109/CYBCONF51991.2021.9464139

2. N. T Le, S. Kobashi, K. Ariumura, K. Iihara, and S. Inoue, "Intracranial Hemorrhage Brain Image Non-rigid Registration from Real-world Dataset to Reference Space," 2021 Joint 10th International Conference on Informatics, Electronics & Vision (ICIEV) and 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), 2021.  DOI: 10.1109/ICIEVicIVPR52578.2021.9564140

3. K. Nakatsu, K. Morita, D. Fujita, and S. Kobashi, "Comparison of Machine Learning Methods for Predicting Modified Total Shape Score in X-ray Radiography," World Automation Congress (WAC), 2021. DOI: 10.23919/WAC50355.2021.9559487

4. . Yamamoto, D. Fujita, Md R. Rahman, N. Yagi, K. Hayashi, A. Maruo, H. Muratsu, and, S. Kobashi, "Boring Survey Based Fracture Detection (BSFD) for Fragility Fracture of the Pelvis in CT images," Proc. of the International Conference on Machine Learning and Cybernetics (ICMLC) 2021.

5. R. Morita, S. Ando, D. Fujita, M. Nii, K. Ando, R. Ishikura, and S. Kobashi, "Brain Development Age Prediction Using Convolutional Neural Network on Pediatric Brain CT Images," Proc. of the International Conference on Machine Learning and Cybernetics (ICMLC) 2021.

6. K. Oka, D. Fujita, Y. Nohara, S. Inoue, K. Ariumura, K. Iihara, S. Kobashi, "CNN Based Hierarchical Intracerebral Hematoma Region Extraction Method in Head Thick-slice CT Images," Proc. of the International Conference on Machine Learning and Cybernetics (ICMLC) 2021.

7. N. Yamamoto, Md R. Rahman, D. Fujita, N. Yagi, K. Hayashi, A. Maruo, H. Muratsu, and, S. Kobashi, "Estimation of the pelvic fracture degree using 3-D CT images and a 3-D Convolutional Neural Network," Proc. of IEEE CYBCONF 2021.

8. F. P. Mahdi and S. Kobashi, "A Deep Learning Technique for Automatic Teeth Recognition in Dental Panoramic X-Ray Images Using Modified Palmer Notation System,"  Intelligent Learning for Computer Vision, pp. 55–65, 2021.

9. K. Nakatsu,K. Morita, D. Fujita, and S. Kobashi, "A New Quantification Method of Hand Rheumatoid Arthritis Progression  In X-ray Radiographs Using Deep Learning," RSNA, 2021.

10. K. Oka, D. Fujita, Y. Nohara, S. Inoue, K. Arimura, K. Iihara, and S. Kobashi, "Differentiating Between the Intracerebral Hematoma and Hemorrhage in Initial CT Image with Hierarchical Deep Learning Approach," RSNA, 2021.

 2020

1. S. Kobashi, S. Nishio, and B. Hossain, "Knee Replacement Surgery Phase Recognition with Wearable Camera," International Workshop on Advanced Image Technology 2020, 2020.

2. B. Hossain, S. Nishio, M. Nii, T. Hiranaka, S. Kobashi, "A deep learning approach for surgical instruments detection in Orthopaedic surgery using transfer learning," Proc. SPIE 11315, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, 113151M (16 March 2020); https://doi.org/10.1117/12.2550670

3. H. Tanaka, T. Hayashi, H. Inui, T. Muto, H. Ninomiya, S. Kobashi, and K. Nobuhara, "The Kinematics-only Predictor For Reducing Medial Elbow Load During Fastball Pitching In High School Baseball Pitchers," ORS 2020 Annual Meeting, 2020.

4. S. Nishio, B. Hossain, N. Yagi, M. Nii, T. Hiranaka, S. Kobashi, "Surgical Phase Recognition Method with a Sequential Consistency for CAOS-AI Navigation System," Proc. of The 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech 2020), pp. 8-10,  2020. doi: 10.1109/LifeTech48969.2020.1570619203 

5. Y. Kubo, M. Nii, T. Muto, H. Tanaka, H. Inui, N. Yagi, K. Nobuhara, and S. Kobashi, "Artificial humeral head modeling using Kmeans++ clustering and PCA," Proc. of The 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech 2020), pp. 5-7, 2020. doi: 10.1109/LifeTech48969.2020.1570619195 

6. S. B. Alam, M. Hossain, and S. Kobashi, "Synthetic Brain Image Generation for ADHD prediction based on Progressive Growing Generative Adversarial Network," the 6th International Symposium on Affective Science and Engineering, 2020.  https://doi.org/10.5057/isase.2020-C000049

7. F. P. Mahdi, N. Yagi, and S. Kobashi, "Automatic Teeth Recognition in Dental X-Ray Images Using Transfer Learning Based Faster R-CNN," 2020 IEEE 50th International Symposium on Multiple-Valued Logic (ISMVL), 2020. https://doi.org/10.1109/ISMVL49045.2020.00-36

8. N. Yamamoto, N. Yagi, K. Hayashi, A. Maruo , H. Muratsu , S. Kobashi, "An automated fracture detection from pelvic CT images with 3-D convolutional neural networks," International Symposium on Community-centric Systems (CcS 2020), 2020. https://doi.org/10.1109/CcS49175.2020.9231453

9. K. Nakatsu, K. Morita, and S. Kobashi, "Finger Joint Detection Method in Hand X-ray Radiograph Images Using Statistical Shape Model and Support Vector Machine," International Symposium on Community-centric Systems (CcS 2020), 2020. https://doi.org/10.1109/CcS49175.2020.9231372

10. S. Sakib, B. Hossain, T. Hiranaka and Syoji Kobashi, "Hand Fram Extraction in Surgical Video Images Using Deep Neural Network," SCIS&ISIS2020, 2020. https://doi.org/10.1109/SCISISIS50064.2020.9322759

11. K. Motoki, F. P. Mahdi, N. Yagi, M. Nii, and S. Kobashi, "Automatic Teeth Recognition Method from Dental Panoramic Images Using Faster R-CNN and Prior Knowledge Model," SCIS&ISIS2020, 2020. https://doi.org/10.1109/SCISISIS50064.2020.9322685

12. N. Yamamoto, Md R. Rahman, D. Fujita, N. Yagi, K. Hayashi, A. Maruo, H. Muratsu, and, S. Kobashi, "An automated fracture detection from pelvic CT images with 3-D convolutional neural networks," Proc. of 2020 International Symposium on Community-centric Systems, 2020.

2019

1. B. Hossain, T. Morooka, M. Okuno, M. Nii, S. Yoshiya, and S. Kobashi, "A Supervised Machine Learning Based Method For TKA Outcome Prediction," Orthopaedic Research Society, 2019. 

2. S. Nishio, B. Hossain, M. Nii, T. Hiranaka, S. Kobashi, "Workflow Recognition from Knee Surgical Videos: Role of Deep Neural Networks," Proc. of 5th International Symposium on Affective Science and Engineering, 2019.

3. N. Yagi, M. Nii, S. Kobashi, "Abdominal Organ Area Segmentation using U-Net for Cancer Radiotherapy Support," 2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2019.

4. K. Morita, K. Ando, R. Ishikura, S. Kobashi, and T. Wakabayashi, “Neonatal Brain Segmentation for the Longitudinal Brain Shape Analysis," 6th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, 2019.

5. B. Hossain, S. Nishio, H. Takafumi, and S. Kobashi, “Computer-aided system for operating room nurses during knee surgery,” 6th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, 2019.

6. Y. Kubo, M. Nii, T. Muto, H. Tanaka, H. Inui, N. Yagi, K. Nobuhara, and S. Kobashi, "Constructing Statistical Shape Model for Prosthetic Humeral Head," 6th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, 2019.

7. S. Nishio, B. Hossain, N. Yagi, M. Nii, H. Takafumi, and S. Kobashi, “Orthopedic surgery video analysis using object detection towards surgical procedure recognition,” 6th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, 2019.

8. A. Munaf, F. P. Mahdi and S. Kobashi , "A Quantification Method of Organ Deformation with Radiation Therapy," 6th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, 2019.

9. N. Tasnim, F. P. Mahdi, S. B. Alam, N. Yagi, A. Nakashima, I. KOMESU, Y. Tokunaga, T. Sakumuto, S. Kobashi, "A Quantification Approach of Uterine Peristalsis Propagated from the Cervix and the fundus," Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, pp. 266-271, 2019.

10. S. Ahmed, T Kishi, M. Nii, K. Higuchi, S. Kobashi, "Estimation of Human Activities by Fuzzy Classification Systems for Understanding Subject Persons' Situation, " Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, pp. 433-439, 2019.

2018

1. Y. Kubo, Md. B. Hossain, T. Muto, H. Tanaaka, H. Inui, K. Nobuhara, and S. Kobashi, "3-D Statistical Shape Model of the Humerus Towards Artificial Shoulder Joint Design," World Automation Congress 2018, 2018.  DOI: 10.23919/WAC.2018.8430413

2. W. Marui, S. Kan, M. Nii, M. Shibata, and S. Kobashi, "MD-LMS Algorithm Based Brain Functional Connectivity Analysis in Resting State fMRI," World Automation Congress 2018, 2018. DOI: 10.23919/WAC.2018.8430471

3. M. Nii, Y. Kato, M. Morimoto, S. Kobashi, N. Kamiura, Y. Hata, S. Imawaki, T. Ishikawa, H. Matsubayashi, "Ovarian Follicle Classification using Numerical and B-mode Image Features from Ultrasound Scanning Devices," Joint 2018 7th International Conference on Informatics, Electronics & Vision (ICIEV) & 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), pp. 222-227, 2018.  DOI: 10.1109/ICIEV.2018.8641071

4. B. Hossain, T. Morooka, M. Okuno, M. Nii, S. Yoshiya, S. Kobashi, "Implanted Knee Kinematic Prediction: Comparative performance analysis of Machine learning techniques," Joint 2018 7th International Conference on Informatics, Electronics & Vision (ICIEV) & 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), pp. 544-549, 2018.

5. M. Hossain, S. Nishio, T. Hiranaka, and S. Kobashi, "Real time Surgical tools recognition in Total Knee Arthroplasty using Deep Neural Networks," Joint 2018 7th International Conference on Informatics, Electronics & Vision (ICIEV) & 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), pp. 470-474, 2018.

6. K. Morita, P. Chan, M. Nii, N. Nakagawa, and S. Kobashi, "Finger Joint Detection Method for the Automatic Estimation of Rheumatoid Arthritis Progression Using Machine Learning," 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 1315-1320, 2018. DOI:10.1109/SMC.2018.00230

7. S. B. Alam , A. Shimizu, K. Ando, R. Ishikura , and S. Kobashi, "Disorder Development Onset Prediction Based on Spatiotemporal Statistical Shape Model," 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 385-390, 2018.  DOI: 10.1109/SMC.2018.00075

8. S. Nishio, MD M. Hossain, B. Hossain, M. Nii, T. Hiranaka, and S. Kobashi, "Real-time Orthopedic Surgery Procedure Recognition Method with Video Images from Smart Glasses using Convolutional Neural Network," 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 379-384, 2018. DOI: 10.1109/SMC.2018.00074

9. R. Rahman, K. Ukai, and S. Kobashi, "A Filter-Based Method to Calculate Heart Rate from Near Infrared Video," Proc. of Joint 10th Int. Conf. on Soft Computing and Intelligent Systems and 19th Int. Sympo. on Advanced Intelligent Systems, pp. 1154-1159, 2018. DOI: 10.1109/SCIS-ISIS.2018.00182

10. F. Mafdi and S. Kobashi, "Quantum Particle Swarm Optimization for Multilevel Thresholding-Based Image Segmentation on Dental X-Ray Images," Proc. of 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS) , pp. 1148-1153, 2018. DOI: 10.1109/SCIS-ISIS.2018.00181

11. Y. Taniguchi, Y. Mizuno, T. Muranushi, Y. Hada-Muranushi, Y. Kubota, S. Tsuruta, S. Kobashi, Y. Sakurai, R. Knauf, and A. Kutic, "A SVM integrated Case Based Learning Data GA for Solar Flare Prediction," IEEE 2018 Sympo. Series on Computational Intelligence (IEEE-SSCI), pp. 2131-2138, 2018, https://doi.org/10.1109/SSCI.2018.8628778

12. K. Morita, Y. Wakata, Kumiko Ando, R. Ishikura, S. Kobashi, "Neonatal Brain MRI Segmentation for the Construction of stSSM," 8th International Symposium on Medical and Healthcare Technology, 2018.

13. T. Muto, H. Inui, H. Tanaka, K. Ishiro, K. Morita, S. Kobashi, and K. Nobuhara, “Diagnosis for rotator cuff tear using MRI-based 3D-shape model,” 8th International Symposium on Medical and Healthcare Technology, 2018.

2017

1. K. Ishiro, M. Nii, T. Muto, H. Tanaka, H. Inui,  S. Kobashi, K. Nobuhara, "Reconstruction of 3-D Rotator Cuff Shape for Tear Diagnosis in Open MR Images," The International Forum on Medical Imaging in Asia, 2017.

2. B. Hossain, M. Nii, T. Morooka, M. Okuno, S. Yoshiya, S. Kobashi, "Post-operative implanted knee joint function: an assessment on prediction," The International Forum on Medical Imaging in Asia, 2017.

3. S. B. Alam, and S. Kobashi, "Identification of Alzheimer's disease patient from 3D-stSSM using machine learning algorithm," The International Forum on Medical Imaging in Asia, 2017.

4. H. Wada, S. Kobashi, M. Nii, A. Nakashima, I. Komesu, Y. Tokunaga, T. Sakumoto, "Initial study on uterine peristalsis quantification using Cine MR images", The International Forum on Medical Imaging in Asia, 2017.

5. K. Morita, M. Nii, and S. Kobashi, "SVM based finger joint detection method for the progress estimation of rheumatoid arthritis," 31st International Congress and Exhibition on Computer Assisted Radiology and Surgery, 2017.

6. S. Alam, M. Nii, A. Shimizu, and S. Kobashi, "Machine learning with 3D spatio-temporal SSM for Alzheimer's disease patient classification," 31st International Congress and Exhibition on Computer Assisted Radiology and Surgery, 2017.

7. S. B. Alam , R. Rahman , S. Kobashi, and Y. Hata, "Muscle thickness measurement from ultrasonic wave using continuous wavelet analysis," Int. Conf. on Machine Learning and Cybernetics (ICMLC), 2017.

8. K. Morita, A. Tashita, M. Nii, and S. Kobashi, "Computer-aided Diagnosis system for Rheumatoid Arthritis using Machine Learning," Int. Conf. on Machine Learning and Cybernetics (ICMLC), 2017.

9. Y. Kubota, S. Tsuruta, S. Kobashi, Y. Sakurau, and R. Knauf, "Evaluation of a Classification Method for MR Image Segmentation", Proc. of 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017. (on line)

10. K. Morita, M. Nii, N. Ikoma, T. Morooka, S. Yoshiya, S. Kobashi, "Particle Filter based Implanted Knee Kinematics Analysis for the Postoperative Evaluation," Proc. of 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017. (on line)

11. M. B. Hossain, M. Nii, S. Yoshiya, and S. Kobashi, "Computer-Aided Knee Surgery: Automated Anatomical Axis Definition of Clinical Interest,"  17th International Symposium on Advanced Intelligent Systems (ISIS 2017), 2017.

12. A. Tashita, K. Morita, M. Nii, N. Nakagawa, and S. Kobashi, “ Automated estimation of mTS score in hand joint X-Ray image using machine learning”, The 6th International Conference on Informatics, Electronics & Vision (ICIEV), 123, 2017.

13. S. Okajima, M. Nii, R. Sakashita, M. Hamada, and S. Kobashi, "Tonguemovement classification in chewing and swallowing using electromyography," The 6th International Conference on Informatics, Electronics & Vision (ICIEV), 2017.

14. K. Morita, M. Nii, and S. Kobashi, “Implanted knee kinematics analysis for post operative evaluation of Total Knee Arthroplasty,” The 6th International Conference on Informatics, Electronics & Vision (ICIEV), 2017.

15. T. Muto, H. Inui, H. Tanaka, K. Ishiro, K. Morita, H. Ninomiya, M. Komiya, Y. Kanatani, K. Hasimoto, S. Kobashi, and K. Nobuhara, “MRI-based 3D-shape model improves diagnosis of rotator cuff tear,” 6th International Conference on Informatics, Electronics & Vision & 7th International Symposium in Computational Medical and Health Technology, 2017.

2016

1. S. B. Alam and S. Kobashi, "Simple Brain Atrophy Quantification Method Using MR Images," 2016 5th Int. conf. on Informatics, Electronics and Vision (ICIEV), pp. 743-746, 2016. 

2. B. Hossain, M. Nii, and S. Kobashi "Construction of statistical shape model of femoral bone using MR images," 2016 5th Int. conf. on Informatics, Electronics and Vision (ICIEV), pp. 658-662, 2016. 

3. M. Morimoto, S. Hagihara, S. Kobashi, S. Aikawa, "A meal menu recognition system using RGB-D sensor," 2016 5th Int. conf. on Informatics, Electronics and Vision (ICIEV), pp. 671-674, 2016.

4. S. B. Alam, R. Nakano, S. Kobashi, M. Morimoto, S. Aikawa, A. Shimizu, "Spatiotemporal Statistical Shape Model Construction for Longitudinal Brain Deformation Analysis Using Weighted PCA," CARS 2016 Proceedings, Supplement of the International Journal of CARS, 2016. 

5. A. Tashita, S. Kobashi, M. Nii, Y. Mori, Y. Yoshioka, and Y. Hata, "Macrophage learning-tracking algorithm in time-lapse MR images," Int. Conf. on Machine Learning and Cybernetics (ICMLC), pp. 421-426, 2016. 

6. K. Morita, M. Nii, S. Kambara, K. Kashiwa, H. Nakayama, S. Yoshiya, and S. Kobashi, "Clinical big image data based Pre-Operative Planning in ACL Reconstruction," Int. Conf. on Machine Learning and Cybernetics (ICMLC), pp. 19-23, 2016. 

7. S. Kobashi, B. Hossain, M. Nii, S. Kambara, T. Morooka, M. Okuno, S. Yoshiya, "Prediction of post-operative implanted knee function using machine learning in clinical big data," Int. Conf. on Machine Learning and Cybernetics (ICMLC), pp. 195-200, 2016.

8. K. Morita, S. Kobashi, K. Kashiwa, H. Nakayama, S. Kambara, M. Morimoto, S. Yoshiya and S. Aikawa, "Blumensaat's line detection for Quadrant method on MR images," Proc. 2016 IEEE Int. Conf. on Fuzzy Systems, pp. 2144-2149, 2016.

9. Y. Yamamoto, S. Tsuruta, T. Muranushi, Y. Hada-Muranushi, S. Kobashi , Y. Mizuno, and R. Knauf, "Solar Flare Prediction by SVM Integrated GA," Proc. 2016 IEEE Congress on Evolutionary Computation (CEC), pp. 4127-4134, 2016.

10. B. Hossain, M. Nii, T. Morooka, M. Okuno, S. Yoshiya, S. Kobashi, "Post-operative implanted knee kinematics prediction in total knee arthroscopy using clinical big data," The 9th International Conference on Intelligent Robotics and Applications, pp. 405-412, 2016.

11. K. Morita, M. Nii, F. Imamura, T. Morooka, S. Yoshiya, and S. Kobashi, "Implanted Knee Kinematics Analysis by 2-D/3-D Registration Using Particle Filter," Joint 8th International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems (SCIS & ISIS 2016), 2016.

12. M. Nii, H. Kozakai, M. Morimoto, S. Kobashi, N. Kamiura, Y. Hata, S. Imawaki, T. Ishikawa, and H. Matsubayashi, "Identification of Ovarian Follicle with Ovum from Ultrasonic Images,"  Proc. of 2016 IEEE Int. Conf. on Systems, Man, Cybernetics (SMC), pp. 1514-1518, 2016.

13. M. Yasugi, B. Md Hossain, M. Nii, M. Morimoto, and S. Kobashi, "Cerebral aneurysm occurrence prediction by morphometric analysis of the Willis ring," Proc. of 2016 IEEE Int. Conf. on Systems, Man, Cybernetics (SMC), pp. 1774-1779, 2016.

14. N. Kamiura, S. Kobashi, M. Nii, T. Yumoto, and K. Sorachi, "Application of Self-Organizing Maps to Data Classification and Data Prediction for Female Subjects with Unhealthy-Level Visceral Fat," Proc. of 2016 IEEE Int. Conf. on Systems, Man, Cybernetics (SMC), pp. 1815-1820, 2016.

15. Y. Yamamoto, D. Itoh, S. Tsuruta, T. Muranushi, Y. Hada-Muranushi, S. Kobashi, Y. Mizuno, and R. Knauf, "SVM integrated Case Based restarting GA for further improving Solar Flare Prediction,"  Proc. of 2016 IEEE Int. Conf. on Systems, Man, Cybernetics (SMC), pp. 4716-4723, 2016.

16. S. Kobashi, S. B. Alam, M. Nii, "Machine Learning Approaches for Brain Morphology Analysis in MR images," 7th International Symposium on Computational Intelligence and Industrial Applications (ISCIIA2016), 2016.

17. H. Tanaka, T. Hayashi, H. Inui, S. Kobashi, S. Yoshiya, K. Shibano, and K. Nobuhara, "Biomechanical Approach to the Shoulder Complex System," The 6th Int. Sympo. in Computational Medical and Health Technology, 2016.

18. S. Kobashi, M. Nii, B. Hossain, S. Kambara, T. Morooka, M. Okuno, and S. Yoshiya, "Post-operative Implanted Knee Kinematics Prediction for Personalized Medicine," The 6th Int. Sympo. in Computational Medical and Health Technology, 2016.

19. N. Kamiura, S. Kobashi, M. Nii, T. Yumoto, T. Yamaguchi, and H. Tabuchi, "On personal identification using clinical data obtained  by optical coherence tomography," The 6th Int. Sympo. in Computational Medical and Health Technology, 2016.

20. Y. Yamamoto, D. Itoh, S. Tsuruta, T. Muranushi, Y. Hada-Muranushi, S. Kobashi, Y. Mizuno, and R. Knauf, "Solar flare prediction by SVM integrated CBGA with dynamic mutation rate," World Automation Congress (WAC), pp. 2016

21. Y. Yamamoto, S. Tsuruta, S. Kobashi, Y. Sakurai, and R. Knauf, "An Efficient Classification Method for Knee MR Image Segmentation," 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2016.

2015

1. Medical Image/Signal Processing Systems

2. S. Kobashi, Y. Matsuo, K. Kashiwa, H. Nakayama, S. Kambara, S. Yoshiya, and N. Kamiura, "Magnetic Resonance Image Analysis for Computer Aided Procedure of Anterior Cruciate Ligament Reconstruction," CARS 2015 Proceedings, Supplement of the International Journal of CARS, 2015. 

3. K. Morita, S. Kobashi, Y. Wakata, K, Ando, R. Ishikura,  and N. Kamiura, "ICP based Neonatal Brain MRI Normalization Method," Proc. of 2015 IEEE Int. Conf. on Fuzzy Systems, 2015.

4. H. Komori, S. Kobashi, N. Kamiura, and Y. Hata, "On Relationship Analysis of Health Examination Items Using Self-Organizing Maps," Proc. of 4th Int. Conf. on Informatics, Electronics & Vision, 2015. 

5. S. B. Alam, R. Nakano, S. Kobashi and N. Kamiura, "Feature selection of manifold learning using principal component analysis in brain MR image," Proc. of 4th Int. Conf. on Informatics, Electronics & Vision, 2015. 

6. K. Morita, S. Kobashi, K. Kashiwa, H. Nakayama, S. Kambara, M. Morimoto, S. Yoshiya, and S. Aikawa, "Computer-aided Surgical Planning of Anterior Cruciate Ligament Reconstruction in MR Images," Procedia Computer Science, Vol. 60, pp. 1659–1667, 2015.

7. R. Nakano, S. Kobashi, S. Binte Alam, M. Morimoto, Y. Wakata, K. Ando, R. Ishikura, S. Hirota, and S. Aikawa, "Neonatal Brain Age Estimation Using Manifold Learning Regression Analysis," Proc. of 2015 IEEE Int. Conf. on Systems, Man, and Cybernetics, pp. 2273 - 2276. 2015.

8. S. Kobashi, R. Nakano, S. B. Alam, Y. Wakata, K, Ando,  R. Ishikura, "Quantitative evaluation of developmental retardation based on brain morphometry PCA analysis in neonatal MRI," RSNA2015, 2015.

9. S. Furukawa, S. Kobashi, N. Kamiura, Y. Hata, S. Imawaki and T. Ishikawa, " Seminiferous Tubule Visualization by Continuous Wavelet Transform on Broadband Ultrasonic Imaging, " Proc. of the 17th Int. Sympo. on Applied Electromagnetics and Mechanics (ISEM), 2015.

10. A. Yukawa, A. Kono, T. Nishi, N. Kamiura, S. Kobashi, and Y. Hata, "Pulmonary Artery Domain Region Extraction from MDCT Image,"  The 17th Int. Sympo. on Applied Electromagnetics and Mechanics, 2015.

11. M. Nii, M. Morimoto, S. Kobashi, N. Kamiura,Y. Hata and K. Sorachi, "Medical Checkup and Image Data Analysis for Preventing Life Style Diseases," 7th Int. Conf. on Emerging Trends in Engineering & Technology, pp. 117-122, 2015.

12. A. Tashita, S. Kobashi, Y. Mori, M. Morimoto, S. Aikawa, Y. Yoshioka and Y. Hata, "Macrophage tracking using the Hungarian algorithm in time lapse MR images," 7th Int. Conf. on Emerging Trends in Engineering & Technology, pp.  169-173, 2015.

13. K. Morita, Md B. Hossain, S. Kobashi, K. Kashiwa, H. Nakayama,S. Kambara, M. Morimoto, S. Yoshiya, and S. Aikawa, "Pseudo Lateral Radiograph Synthesis Method for Computer-aided Surgical Planning of Anterior Cruciate Ligament Reconstruction," 7th Int. Conf. on Emerging Trends in Engineering & Technology, 2015. 

14. Y. Yamamoto, S. Tsuruta, T. Muranushi, Y. H. Muranushi, S. Kobashi, Y. Mizuno and R. Knauf, "Improvement of Sun Flare Prediction by SVM integrated GA," The 11th Int. Conf. on Signal Image Technology & Internet Based Systems, pp. 719-724, 2015.  

2014

1. S. Tada, S. kobashi, F. Imamura, T. Morooka, K. Kuramoto, S. Yoshiya, and Y. Hata, "In-vivo implanted knee kinematics analysis using prediction- and smoothing-based particle filter with a priori knowledge," CARS 2014 Proceedings, Supplement of the International Journal of CARS, 2014. 

2. R. Nakano, S. Kobashi, K. Kuramoto, Y. Wakata, K. Ando, R. Ishikura, T. Ishikawa, S. Hirota and Y. Hata, "Fuzzy object growth model for newborn brain using Manifold learning," Proc. of 2014 IEEE International Conference on Fuzzy Systems, pp. 1809-1816, 2014. 

3. K. Morita , S. Kabashi, K. Kuramoto, Y. Wakata , K. Ando , R. Ishikura , T Ishikawa , S. Hirota , and Y. Hata, "Neonatal Brain MRI Normalization with 3-D Cerebral Sulci Registration," Proc. of Int. Conf. on Informatics, Electronics & Vision, 2014. 

4. S. Kobashi, R. Nakano, K. Kuramoto, Y. Wakata, K. Ando, R. Ishikura, T. Ishikawa, S. Hirota, Y. Hata, and N. Kamiura, "Neonatal brain segmentation using 4-D fuzzy object model," Proc. of Int. Conf. on Informatics, Electronics & Vision, 2014.

5. S. B. Alam, R. Nakano, N. Kamiura, and S. Kobashi, "Morphological changes of aging brain structure in MRI analysis," Int. Sympo. on Advanced Intelligent System, pp. 683-687, 2014.

6. S. Kobashi, H. Shibutani, T. Nomura, T. Ishikawa, and N. Kamiura, "Fully automated artery extraction from 3-D TOF MRA images using fuzzy connectedness image segmentation," The 4th Int. Sympo. in Computational Medical and Health Technology, 2014.

7. N. Kamiura, S. Kobashi, K. Kuramoto and Takashi Fujii, "Sojourn-Time Reduction for Patients at Department of Cardiology" The 4th International Symposium in Computational Medical and Health Technology, 2014.

8. S. Kobashi, T. Fujishiro, S. Hayashi, S. Hashimoto, R. Kuroda, M. Kurosaka, and N. Kamiura, "MDCT Image Based Assessment of Acetabular Cup Orientation in Total Hip Arthroplasty," 2014 IEEE Int. Conf. on Systems Man and Cybernetics, pp. 2557-2562, 2014. 

9. S. Kobashi, Y. Mori, Y. Yoshioka, and Y. Hata, "Image Alignment for Single-cell Imaging of Macrophage in the Mouse Brain Using 11.7T MRI," World Automation Congress, pp. 371-375, 2014.

10. Y. Mori, Y. Arima, T. Chen, D. Zhu, Y. Komai, M. Murakami, Y. Yoshioka, T. Fujisawa, S. Kobashi, and Y. Hata, "In vivo MRI monitoring of inflammatory alterations and cellular dynamics in the central nervous system," World Automation Congress, pp. 355-360, 2014.

2013

1. Medical Image/Signal Processing Systems

2. S. Kobashi, K. Kuramoto, and Y. Hata, "Interactive fuzzy connectedness image segmentation for neonatal brain MR image segmentation," Proc. of 2013 IEEE Int. Conf. on Systems, Man and Cybernetics, pp. 1799-1804, 2013.

3. S. Kobashi, and J. K. Udupa, "Fuzzy connectedness image segmentation for newborn brain extraction in MR images," Proc. of 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 7136-7139, 2013.

4. S. Kobashi, A. Toda, N. Shibanuma, and Y. Hata, "Quantitative Evaluation of Patient Specific Instrument for Total Knee Arthoroplasty," Proc. of Int. Conf. on Signal-Image Technology&Internet-Based Systems, pp. 837-841, 2013.

5. S. Kobashi, A. Toda, N. Shibanuma, and Y. Hata, "Image-based evaluation of patient specific instrument attachment in TKA," Procedia Computer Science, Vol. 22, pp. 976-982, 2013.

6. S. Kobashi and J. K. Udupa, "Fuzzy object models for newborn brain MR image segmentation," Proc. SPIE, Vol 8672. 

7. H. M. Elahi, D. Islam, I. Ahmed, S. Kobashi, and M. A. R. Ahad, "Webcam-based Accurate Eye-central Localization," Proc. of 2013 Second Int. Conf. on Robot, Vision and Signal Processing, pp. 47-50, 2013.

8. S. Tada, S. Kobashi, K. Kuramoto, F. Imamura, T. Morooka, K. Kuramoto, S. Yoshiya, and Y. Hata, "On a priori knowledge in particle filter for in-vivo analysis of implanted knee," Proc. of 2013 Second Int. Conf. on Robot, Vision and Signal Processing, pp. 168-171, 2013.

Human Health Monitoring Systems

1. T. Fujimoto, H. Nakajima, T. Tsuchiya, H. Marukawa, K. Kuramoto, S. Kobashi, and Y. Hata, "Wearable human activity recognition by electrocardiograph and accelerometer," Proc. of IEEE 43rd Int. Symp. on Multiple-Valued Logic, pp. 12-17, 2013.

2. T. Takeda, K. Kuramoto, S. Kobashi, and Y. Hata, "A fuzzy human detection for security system using infrared laser camera," Proc. of IEEE 43rd Int. Symp. on Multiple-Valued Logic, pp. 53-58, 2013.

3. M. Kuki, H. Nakajima, N. Tsuchiya, K. Kuramoto, S. Kobashi, and Y. Hata, "Mining multi human locations using thermopile array sensors," Proc. of IEEE 43rd Int. Symp. on Multiple-Valued Logic, pp. 59-64, 2013.

4. N. Yagi, T. Ishikawa, K. Kuramoto, S. Kobashi, and Y. Hata, "Ultrasonic frequency response analysis for quantitative measurements in bone marrow stromal cells," Proc. of 2013 IEEE Int. Conf. on Systems, Man and Cybernetics, pp. 3420-3424, 2013.

5. N. Yagi, T. Ishikawa, K. Kuramoto, S. Kobashi, and Y. Hata, "Noninvasive cellular quantity measurement in bone marrow stromal cells/ beta-tricalcium phosphate," Proc. of 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 2048-2051, 2013.

6. H. Hata, S. Imawaki, K. Kuramoto, S. Kobashi, and Y. Hata, "Ultrasonic muscular thickness measurement in temperature variation," Proc. of The 14th International Symposium on Advanced Intelligent Systems, 2013.

7. T. Fujisawa, T. Egawa, K. Taniguchi, S. Kobashi, and Y. Hata, "An energy visualization by camera monitoring," Proc. of The 14th International Symposium on advanced Intelligent Systems, 2013.

2012

Medical Image/Signal Processing Systems

1. A. Hashioka, K. Kuramoto, S. Kobashi, Y. Wakata, K. Ando, R. Ishikura and Y. Hata, "Fuzzy object shape model for newborn brain MR image segmentation," Proc. of the 6th International Conference on Soft Computing and Intelligent Systems and 13th International Symposium on Advanced Intelligent Systems, pp. 1253-1258, 2012.

2. T. Takeda, S. Kobashi, K. Kuramoto and Y. Hata, "Biometrics personal identification by wearable pressure sensor," Proc. of 2012 Fifth Int. Conf. on Emerging Trends in Engineering and Technology, pp. 120-123, 2012.

3. S. Kobashi and J. Udupa, "Fuzzy object model based fuzzy connectedness image segmentation for newborn brain MR images," Proc. of 2012 IEEE Int. Conf. on Systems, Man and Cybernetics, pp. 1422-1427, 2012.

4. H. Mita, S. Kobashi, K. Nagasawa, K. Nishiyama, H. Maeno, K. Kuramoto and Y. Hata, "A fusion method for marine radar images using EM algorithm," Proc. of 2012 World Automation Cong., 2012. (online)

5. A. Hashioka, S. Kobashi, K. Kuramoto, Y. Wakata, K. Ando, R. Ishikura, T. Ishikawa, S. Hirota and Y. Hata, "Shape and appearance knowledge based brain segmentation for neonatal MR images," Proc. of 2012 World Automation Cong., 2012. (online)

6. S. Kobashi, H. Mita, K. Nagasawa, K. Nishiyama, H. Maeno, K. Kuramoto and Y. Hata, "Maritime Space Understanding Using Multiple Radar Systems by Iterative Image Reconstruction Algorithm," Proc. of 2013 IEEE Workshop on Robotic Intelligence In Informationally Structured Space (RiiSS), pp. 102-107, 2013

Human Health Monitoring Systems

1. T. Yagi, T. Takeda, K. Sueyoshi, Y. Oshiro and Y. Hata, "Fuzzy estimation system on gait independence level by footprint dynamics," Proc. of the 6th International Conference on Soft Computing and Intelligent Systems and 13th International Symposium on Advanced Intelligent Systems, pp. 1259-1264, 2012.

2. H. Tanii, H. Nakajima, N. Tsuchiya, K. Kuramoto, S. Kobashi and Y. Hata, "A fuzzy time-series prediction model with multi-biological data for health management," Proc. of the 6th International Conference on Soft Computing and Intelligent Systems and 13th International Symposium on Advanced Intelligent Systems, pp. 1265-1268, 2012.

3. N. Yagi, Y. Oshiro, T. Ishikawa and Y. Hata, "Human brain ultrasound-mediated diagnosis in emergency medicine and home health care," Proc. of the 6th International Conference on Soft Computing and Intelligent Systems and 13th International Symposium on Advanced Intelligent Systems, pp. 1269-1274, 2012.

4. Y. Takashima, T. Ishikawa, S. Kobashi, K. Kuramoto and Y. Hata, "Ultrasonic evaluation of seminiferous tubules by frequency map," Proc. of 2012 Fifth Int. Conf. on Emerging Trends in Engineering and Technology, pp. 7-12, 2012.

5. Y. Kaku, K. Kuramoto, S. Kobashi and Y. Hata, "Predict time series data for the number of asthmatic attacks in Himeji by Fuzzy-AR model," Proc. of 2012 Fifth Int. Conf. on Emerging Trends in Engineering and Technology, pp. 314-317, 2012.

6. Y. Hata and H. Nakajima, "A health care service to disaster survivors," Proc. of 2012 Service Research and Innovation Institute Global Conference, pp. 637-641, 2012.

7. N. Yagi, Y. Oshiro, T. Ishikawa and Y. Hata, "Ultrasonic image synthesis in fourier transform," Proc. of 2012 World Automation Cong., 2012. (online)

8. Y. Hata, K. Kuramoto, S. Kobashi and H. Nakajima "A survey of fuzzy logic in medical and health technology," Proc. of 2012 World Automation Cong., 2012. (online)

9. Y. Kaku, K. Kuramoto, S. Kobashi and Y. Hata, "Asthmatic attacks prediction considering weather factors based on Fuzzy-AR model," Proc. of 2012 IEEE World Congress on Computational Intelligence, pp. 2023-2026, 2012.

10. H. Tanii, H. Nakajima, N. Tsuchiya, K. Kuramoto, S. Kobashi and Y. Hata, "A Fuzzy-AR model to predict human body weights," Proc. of 2012 IEEE World Congress on Computational Intelligence, pp. 2027-2032, 2012.

11. Y. Takashima, T. Ishikawa, K. Kuramoto, S. Kobashi and Y. Hata, "Ultrasonic thickness evaluation of seminiferous tubule by fuzzy inference," Proc. of 2012 IEEE World Congress on Computational Intelligence, pp. 2033-2037, 2012.

12. Y. Hata, M. Nakamura, N. Yagi and T. Ishikawa, "Trans-skull ultrasonic doppler system aided by fuzzy logic," Proc. of SPIE Defense, Security and Sensing 2012, pp. 840118-1-8, 2012.

13. H. Nakajima, N. Tsuchiya, T. Shiga and Y. Hata, "Systems health care: daily measurement and lifestyle change," Proc. of SPIE Defense, Security and Sensing 2012, pp. 84011A-1-11, 2012.

14. Y. Hata, S. Kanazawa, M. Endo, N. Tsuchiya and H. Nakajima, "Health care system for heart rate and human movement trajectory in house and its application to detect mental diseases," Proc. of SPIE Defense, Security and Sensing 2012, pp. 840119-1-11, 2012. 

15. T. Fujimoto, H. Nakajima, N. Tsuchiya, H. Marukawa, Y. Hata, "Human activity classification by ECG and accelerometers aided by fuzzy logic," Proc. of 2012 IEEE Int. Conf. on Systems, Man and Cybernetics, pp. 2036-2041, 2012.

16. M. Kuki, H. Nakajima, N. Tsuchiya, Y. Hata, "Human movement trajectory recording for home alone by thermoplile array sensor," Proc. of 2012 IEEE Int. Conf. on Systems, Man and Cybernetics, pp. 2042-2047, 2012.

17. K. Tsukuda, T. Egawa, K. Taniguchi and Y. Hata, "Average difference imaging and its application to ultrasonic nondestructive evaluation of wind turbine blade," Proc. of 2012 IEEE Int. Conf. on Systems, Man and Cybernetics, pp. 2601-2604, 2012.

18. H. Nakajima, T. Shiga and Y. Hata, "Systems health care - the aspect of home and medical care," Proc. of 2012 IEEE Int. Conf. on Systems, Man and Cybernetics, pp. 2616-2621, 2012.

19. T. Ohkawa, S. Kobashi, Y. Hata, Y. Yamashita, N. Aono and K. Kuramoto, "Theoretical examination of carrier interaction of Pd catalyst," Proc. of 7th Int. Conf. on Environmental Catalysis, 2012. (Poster)

20. M. Endo, H. Nakajima and Y. Hata, "Simplified factory energy management system based on operational condition estimation by sensor data," Proc. of 8th IEEE Int. Conf. on Automation Science and Engineering, 2012.

21. H. Nakajima, T. Shiga and Y. Hata, "Systems health care --Coevolutionary integration of smart devices and smart services," Proc. of 2012 Service Research and Innovation Institute Global Conference, pp. 231-236, 2012.

2011

1. Medical Image/Signal Processing Systems

2. S. Kobashi, Y. Nakajima, K. Kuramoto, N. Shibanuma, S. Yoshiya and Y. Hata, "A Fully Automated Frame-by-Frame Analysis of Digital Radiography images for Quantifying Total-Knee-Arthroplasty Implanted Knee Kinematics", Proc. of the Orothopaedic Research Society, No. 0957, 2011.

3. T. Nishiyama, N. Shibanuma, N. Kanzaki, S. Hayashi, T. Fujishiro, K. Takebe, K. Kawakita, K. Iwasa, S. Kobashi, Y. Hata, and M. Kurosaka "Automated determination of pelvic coordinate system and application to clinical study using MDCT images," Proc. of the Orothopaedic Research Society, No. 1241, 2011.

4. D. Seino, F. Imamura, H. Nakayama, Y. Tsumori, Y. Nakajima, Y. Hata, S. Kobashi, N. Shibanuma, M. Kurosaka, S. Yoshiya "Analysis of non-weight-bearing flexion kinematics of mobile bearing CR TKA," Proc. of the Orothopaedic Research Society, No. 1271, 2011.

5. A. Hashioka, S. Kobashi, K. Kuramoto, Y. Wakata, K. Ando, R. Ishikura, T. Ishikawa, S. Hirota and Y. Hata, "A neonatal brain MR images template pf 1 week new born," Int. Journal of Computer Assisted Radiology and Surgery, vol. 6, supplement 1, pp. 345 - 346, 2011.

6. S. Kobashi, N. Kawakami, Y. T. Kitamura, K. Shimono, K. Kuramoto, M. Taniike, and Y. Hata "Fractal Dimension Based Cortical Dysplasia Detection Using MR Images for Epilepsy Children," Proc. of The 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, pp. 467-463, 2011.

7. D. Yokomichi, S. Kobashi, Y. Wakata, K. Ando, R. Ishikura, K. Kuramoto, T. Ishikawa, S. Hirota, and Y. Hata "Particle Method for Sub-voxel Extraction of Cerebral Surface in Neonatal MR Images," Proc. of The 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, 2011. (in press)

8. A. Hashioka, K. Yamaguchi, S. Kobashi, Y. Wakata, K. Ando, R. Ishikura, K. Kuramoto, T. Ishikawa, S. Hirota and Y. Hata, "Neonatal brain MR image segmentation based on system-of-systems in engineering technology," Proc. of the 6th IEEE Int. Conf. on System of Systems Engineering, pp. 107-112, 2011.

9. S. Kobashi, N. Ikoma, F. Imamura, N. Shibanuma, K. Kuramoto, T. Ishikawa and Y. Hata, "Particle filter for implanted knee kinematic analysis using dynamic radiograph video," Proc. of 2011 IEEE Int. Conf. on Systems, Man, and Cybernetics, pp. 746-751, 2011.

10. H. Mita, S. Kobashi, K. Nakagawa, K. Nishiyama, H. Maeno, K. Kuramoto and Y Hata, "Marine radar system of systems for radar image quality improvement using EM algorithm," Proc. of the 6th IEEE Int. Conf. on System of Systems Engineering, pp. 270-275, 2011.

11. Human Health Monitoring Systems

12. M. Endo, K. Tsuruta, Y. Saitoh, H. Nakajima and Y. Hata, "Toward an optimal QCDE in Manufacturing by health monitoring of equipment energy consumption," Proc. of 2011 IEEE Int. Conf. on Systems, Man, and Cybernetics, pp. 327-332, 2011.

13. M. Nakamura, T. Ishikawa, S. Kobashi, K. Kuramoto and Y. Hata, "Blood flow detection under skull by doppler effect," Proc. of 2011 IEEE Int. Conf. on Systems, Man, and Cybernetics, pp. 758-763, 2011.

14. T. Takeda, Y. Sakai, K. Kuramoto, S. Kobashi, T. Ishikawa and Y. Hata, "Foot age estimation for fall-prevention using sole pressure by fuzzy logic," Proc. of 2011 IEEE Int. Conf. on Systems, Man, and Cybernetics, pp. 769-774, 2011.

15. Y. Takashima, K. Kuramoto, S. Kobashi, Y. Hata and T. Ishikawa, "A testicular tubule evaluation method by ultrasonic array probe," Proc. of 2011 IEEE Int. Conf. on Fuzzy Systems, pp. 1013-1016, 2011.

16. H. Tanii, H. Nakajima, N. Tsuchiya, K. Kuramoto, S. Kobashi and Y. Hata, "A fuzzy logic approach to predict human body weight based on AR model," Proc. of 2011 IEEE Int. Conf. on Fuzzy Systems, pp. 1022-1025, 2011.

17. T. Takeda, S. Kobashi, K. Kuramoto and Y. Hata, "A Challenge to Biometrics by Sole Pressure while Walking," Proc. of 2011 IEEE Int. Conf. on Fuzzy Systems, pp. 1430-1435, 2011.

18. Y. Hata, K. Ho, K. Kuramoto, S. Kobashi, N. Tsuchiya and H. Nakajima, "YURAGI: analysis for detecting heart-rate by mat-type sensor in bed," Proc. of SPIE Defence, Security and Sensing 2011, pp. 80580Y-1-9, 2011.

19. T. Takeda, K. Kuramoto, S. Kobashi and Y. Hata, "Biometrics security by dynamics of left and right sole pressure while walking," Proc. of SPIE Defence, Security and Sensing 2011, pp. 805814-1-11, 2011.

20. S. Kanazawa, K. Taniguchi, A. Kazunari, K. Kuramoto, S. Kobashi and Y. Hata, "A fuzzy automated object classification by infrared laser camera," Proc. of SPIE Defence, Security and Sensing 2011, pp. 805815-1-9, 2011.

21. Y. Hata, S. Kobashi, K. Kuramoto and H. Nakajima, "Home care system for aging people confined to bed by detached sensor network," Proc. of 2011 IEEE Symposium Series on Computational Intelligence Workshop on Robotic Intelligence in Informationally Structured Space, pp. 1-6, 2011.

2010

1. Medical Image/Signal Processing Systems

2. S. Kobashi, D. Yokomichi, K. Yamaguchi, K. Kuramoto, S. Imawaki, and Y. Hata, "Computer-Aided Diagnosis System of Systems for Neonatal Human Brain MR Images," 5th International Conference on Systems of Systems Engineering, 2010.

3. K. Yamaguchi, Y. Fujimoto, S. Kobashi, Y. Wakata, R. Ishikura, K. Kuramoto, S. Imawaki, S. Hirota and Y. Hata "Automated Fuzzy Logic Based Skull Stripping in Neonatal and Infantile MR Images," 2010 IEEE World Congress on Computational Intelligence.

4. Y. Nakajima, S. Kobashi, Y. Tsumori, N. Shibanuma and F. Imamura S. Imawaki, S. Yoshiya, and Y. Hata "A priori Knowledge Based Particle Filter for Estimating 3-D Pose position of Implanted Knee," 2010 IEEE World Congress on Computational Intelligence.

5. Y. Tsumori, A. Tomaru, S. Kobashi, S. Yoshiya, "Pivot shift evaluation in the knee joint using inertial and magnetic sensors," 2010 World Automation Congress, 2010.

6. Y. Nakajima, S. Kobashi, Y. Tsumori, N. Shibanuma, F. Imamura, K. Kuramoto, S. Imawaki, S. Yoshiya, Y. Hata, "Particle Filter Based Knee Kinematics Analysis with 2-D/3-D Image Registration," 2010 World Automation Congress, 2010.

7. K. Yamaguchi, S. Kobashi, K. Kuramoto, Y. Kitamura, I. Mohri, S. Imawaki, M. Taniike, and Y. Hata, "Statistical Quantification of Brain Shape Deformation with Homologous Brain Shape Modeling," 2010 World Automation Congress, 2010.

8. N. Kawakami, S. Kobashi, K. Kuramoto, Y. T. Kitamura, K. Shimono, S. Imawaki, M. Taniike, and Y. Hata, "A Study on Image Features Using Intensity Profile for Cortical Dysplasia Degrees Estimation," 2010 World Automation Congress, 2010.

9. S. Fujimoto, S. Kobashi, T. Nishiyama, N. Kanzaki, N. Shibanuma, K Kuramoto, and Y. Hata, "Determination of Pelvic Coordinate System and Application to Clinical Study Using MDCT Images," 2010 World Automation Congress, 2010.

10. S. Kobashi, D. Yokomichi, K. Kuramoto, S. Imawaki and Y. Hata, "Particle Method Based Sub-Voxel Cerebral Contour Extraction in Neonatal MR Images," The 4th International Symposium on Computational Intelligence and Industrial Application, 2010.

11. A. Tomaru, S. Kobashi, Y. Tsumori, S. Yoshiya, K. Kuramoto, S. Imawaki and Y. Hata, "A 3-DOF Knee Joint Measurement with Inertial and Magnetic Sensors," 2010 IEEE Int. Conf. on Systems, Man and Cybernetics, 2010. (in press)

12. D. Yokomichi, S. Kobashi, Y. Wakata, R. Ishikura, K. Kuramoto, S. Imawaki, S. Hirota and Y. Hata, "Cortical Surface Extraction Based on Particle Method in Neonatal MR Images," 2010 IEEE Int. Conf. on Systems, Man and Cybernetics, 2010. (in press)

13. A. Tomaru, S. Kobashi, Y. Tsumori, S. Yoshiya, K. Kuramoto, S. Imawaki, and Y. Hata, "Unconstraint Knee Joint Dynamics Estimation System using Inertial and Magnetic Composite MEMS sensor," Proc. of the 3rd International Conference on Emerging Trends in Engineering & Technology (ICETET-10), pp. 440-445, 2010.

14. S. Kobashi, A. Tomaru, Y. Tsumori, S. Yoshiya, K. Kuramoto, S. Imawaki, and Y. Hata, "Wavelet Transform Based Quantification of Pivot Shift Test Using Inertial and Magnetic Composite MEMS," Proc. of the 3rd International Conference on Emerging Trends in Engineering & Technology (ICETET-10), pp. 450-455, 2010.

15. S. Kobashi, T. Hozumi, S. Kan, T. Koike, K. Kuramoto, S. Imawaki, S. Miyauchi and Y. Hata, "Absolute Eye Gaze Tracking System with MR Images", Int. Sympo. on Advanced Intelligent System (SCIS & ISIS 2010), pp. 1612-1616, 2010.

16. N. Kawakami, S. Kobashi, K. Kuramoto, Y. T. Kitamura, K. K. Shimono, S. Imawaki, M. Taniike, and Y. Hata, "Estimation Method of Cortical Dysplasia Degree Using Neural Network in Pediatric Brain MR Images", Int. Sympo. on Advanced Intelligent System (SCIS & ISIS 2010), pp. 1399-1402, 2010.

17. A. Hashioka, S. Kobashi, K. Kuramoto, Y. Wakata, K. Ando, R. Ishikura, S. Imawaki, S. Hirota, and Y. Hata, "On a Voxel Based Morphometry Analysis in Neonatal Brain MR Images", Int. Sympo. on Advanced Intelligent System (SCIS & ISIS 2010), pp. 1393-1398, 2010. 

    1. Human Health Monitoring Systems

18. T. Takeda, K. Taniguchi, K. Asari, K. Kuramoto S. Kobashi, and Y. Hata "Biometric Personal Authentication by One Step Foot Pressure Distribution Change by Fuzzy Artificial Immune System," 2010 IEEE World Congress on Computational Intelligence, 2010.

19. K. Ho, K. Yamamoto, N. Tsuchiya, H. Nakajima, K. Kuramoto, S. Kobashi and Y. Hata "Multi Sensor Approach to Detection of Heartbeat and Respiratory Rate Aided by Fuzzy Logic," 2010 IEEE World Congress on Computational Intelligence, 2010.

20. T. Takeda, K. Taniguchi, K. Asari, K. Kuramoto, S. Kobashi, and Y. Hata, "Biometric personal identification by dinamics of sole pressure at walking," 2010 World Automation Congress, 2010.

21. K. Ho, K. Taniguchi, K. Asari, K. Kuramoto, S. Kobashi, and Y. Hata, "Automated Detection of People Distribution by a 3D Camera," 2010 World Automation Congress, 2010.

22. T. Takeda, H. Ye, K. Taniguchi, K. Asari, K. Kuramoto, S. Kobashi, and Y. Hata, "Foot Age Estimation by Gait Sole Pressure Changes," 2010 IEEE Int. Conf. on Systems, Man and Cybernetics, 2010.

23. M. Nakamura, T. Yanagida, Y. T. Kitamura, S. Kobashi, K. Kuramoto and Y. Hata, "Free Placement Trans-Skull Doppler System with 1.0MHz Array Ultrasonic Probe," 2010 IEEE Int. Conf. on Systems, Man and Cybernetics, 2010.

24. K. Ho, K. Kuramoto, S. Kobashi, Y. Hata, N. Tsuchiya and H. Nakajima, "Data Synthesis for Heartbeat Detection System of Two Sensor Systems," Proc. of The 2010 International Symposium on Intelligent Systems, 2010, on line.

25. Y. Hata, S. Kobashi and T. Yanagida, "Fuzzy logic in Trans-Skull ultrasonic imaging system," Proc. of Korea Institute of Intelligent Systems Fall Conference 2010, Vol. 20, No. 2, pp. 3-8, 2010. 

    1. High Performance Computing

26. K. Kuramoto, M. Nii, S. Kobashi, and Y. Hata, "High performance computing for molecular imaging and immunology," CSI-IFReC Joint Symposium on Immunology, 2010.

27. M. Okada, M. Iwasa, Y. Haruyama, K. Kanda, K. Kuramoto, M. Nakagawa, and S. Matsui, "Evaluation Of Interaction Between Antisticking Layer And UV Curable Resin By Scanning Probe Microscopy," 9th International Conference on Nanoimprint and Nanoprint Technology p.19, 2010.

2009

1. Medical Image/Signal Processing Systems

2. N. Kawakami, S. Kobashi, K. Kagitani-Shimono, S. Imawaki, M. Taniike, and Y. Hata, "Cortical Dysplasia Detection Method with Support Vector Machines in Pediatric Brain MR Images," Proc. of International Forum on Medical Imaging in Asia, pp. 11-16, 2009.

3. S. Kobashi, K. Kawano, Y. Tsumori, S. Yoshiya and Y. Hata, "Wearable Joint Kinematic Monitoring System Using Inertial and Magnetic Sensors," Proc. of 2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, pp. 25-29, 2009.

4. S. Kobashi, Y. Fujimoto, M. Ogawa, K. Ando, R. Ishikura, S. Imawaki and Y. Hata, "Fuzzy Logic Assisted Quantification of Gyral Deformation Index Using Magnetic Resonance Images for the Infantile Brain," Proc. of IEEE 39th International Symposium on Multiple-Valued Logic, 2009. (CDROM)

5. S. Kobashi, Y. Tsumori, S. Imawaki, S. Yoshiya and Y. Hata, "Wearable Knee Kinematics Monitoring System of MARG Sensor and Pressure Sensor Systems," Proc. of IEEE SMC Fourth International Conference on System of Systems Engineering 2009. (CDROM)

6. S. Kobashi, T. Oshiba, K. Ando, R. Ishikura, S. Imawaki, and Y. Hata "Fuzzy Thick Rubber Model for Cerebral Surface Extraction in Neonatal Brain MR Images," Proc. of 2009 IEEE Int. Conf. on Fuzzy Systems, pp. 927-932, 2009.

7. S. Fujimoto, S. Kobashi, T. Nishiyama, N. Shibanuma, T. Fujishiro, S. Hashimoto, K. Takebe, K. Kuramoto, S. Imawaki, M. Kurosaka and Y. Hata, "Evaluating of hip joint alignment system in MDCT images," Proc. of 10th International Symposium on advanced Intelligent Systems, pp. 223-226, 2009.

8. K. Yamaguchi, S. Kobashi, I. Mohri, S. Imawaki, M. Taniike, and Y. Hata, "Elastic Model Based Brain Shape Homologous Using Sulcal-Distribution Index," Proc. of 2009 IEEE Int. Conf. on Systems, Man and Cybernetics, pp. 1128-1132, 2009.

9. Y. Nakajima, S. Kobashi, Y. Tsumori, N. Shibanuma, S. Imawaki, S. Yoshiya, and Y. Hata, "2-D/3-D Image Registration of Implanted Knee DR Images with Kalman Filter," Proc. of 2009 IEEE Int. Conf. on Systems, Man and Cybernetics, pp. 1133-1138, 2009. 

   1. Human Health Monitoring Systems

10. Y. Hata, S. Kobashi, K. Taniguchi, and H. Nakajima, "Human Health Monitoring System of Systems with Fuzzy Logic by Sensor Network," Proc. of 2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, pp. 1-6, 2009.

11. H. Ye, S. Kobashi, K. Taniguchi, and Y. Hata, "Biometric System by Foot Pressure Change Based on Neural Network," Proc. of IEEE 39th International Symposium on Multiple-Valued Logic, 2009. (in press)

12. Y. Hata, S. Kobashi, H. Yamaguchi, O. Ishikawa, N. Tsuchiya, and H. Nakajima, "Human Health Monitoring System of Systems with Fuzzy Logic by Sensor Network," Proc. of IEEE SMC Fourth International Conference on System of Systems Engineering 2009. (in press)

13. T. Takeda, K. Taniguchi, K. Asari, S. Kobashi and Y. Hata, "Biometric Personal Authentication by One Step Foot Pressure Distribution Change by Load Distribution Sensor," Proc. of 2009 IEEE Int. Conf. on Fuzzy Systems, pp. 906-910, 2009.

14. K. Ho, N. Tsuchiya, H. Nakajima, S. Kobashi and Y. Hata, "Fuzzy Logic Approach to Respiration Detection by Air Pressure Sensor," Proc. of 2009 IEEE Int. Conf. on Fuzzy Systems, pp. 911-915, 2009.

15. H. Uchida, H. Yamaguchi, S. Kobashi, Y. Hata, N. Tsuchiya, and H. Nakajima, "Fuzzy Estimation System of Dementia Severity Using Biological Information During Sleep," Proc. of 2009 IEEE Int. Conf. on Fuzzy Systems, pp. 921-926, 2009.

16. K. Yamamoto, N. Tsuchiya, H. Nakajima, S. Kobashi, and Y. Hata, "Real Time Autonomic Nervous System Display with Air Cushion Sensor while Seated," Proc. of 2009 IEEE Int. Conf. on Systems, Man and Cybernetics, pp. 1122-1127, 2009.

17. G. Hiramatsu, S. Imawaki, Y. T. Kitamura, T. Yanagida, S. Kobashi, Y. Hata, and Y. Ikeda "Trans-skull Imaging System by Ultrasonic Array Probe," Proc. of 2009 IEEE Int. Conf. on Systems, Man and Cybernetics, pp. 1116-1121, 2009. 

    1. High Performance Computing

18. K. Kuramoto, M. Nii, S. Kobashi, and Y. Hata, "High performance computing for molecular imaging and immunology," Integrating Immune Networks with Immuno-Imaging, 2009.

2008

1. Medical Image/Signal Processing Systems

2. T. Nishiyama, N. Shibanuma, T. Fujishiro, S. Hashimoto, K. Takebe, Y. Suzuki, M. Fukuoka, S. Kobashi, Y. Hata, and M. Kurosaka, "In-vivo estimation of 3-D pose/position of hip implants with fuzzy based rapid/accurate 3-D/2-D image registration from 2-D X-ray images," 54rd Annual Meeting of Orthopaedic Research Society, Vol. 33, p. 1814, Feb. 2008.

3. S. Kobashi, Y. Fujimoto, T. Oshiba, M. Ogawa, K. Ando, R. Ishikura, S. Imawaki and Y. Hata, "Computer-aided Diagnosis System of Systems for Neonatal and Infantile Brain Using MR images," Proc. of IEEE third Int. Conf. on System of Systems Engineering, Jun. (CDROM), 2008.

4. S. Kobashi, S. Nishiwaki, N. Shibanuma, S. Imawaki, M. Kurosaki, and Y. Hata, "Fuzzy Visual Hull Algorithm for 3-D pose/position estimation of TKA implants without 3-D CAD Model," Proc. of 5th International Conference on Information Technology and Applications (ICITA 2008), Jun. 2008.

5. S. Kobashi, Y. Yahata, S. Kan, M. Misaki, K. Kondo, S. Miyauchi and Y. Hata, "MRI Compatible Sleeping-Eye Gaze Tracking System Using Infrared Video Analyzed by ANN based Image Processing," in Human Brain Mapping (HBM), Jun. 2008.

6. T. Oshiba, S. Kobashi, M. Ogawa, K. Ando, R. Ishikura, S. Imawaki and Y. Hata, "Cerebral Surface Extraction with Sub-voxel accuracy from Neonatal MR Images using Thick Rubber Model," in Human Brain Mapping (HBM), Jun. 2008.

7. T. Oshiba, S. Kobashi, M. Ogawa, K. Ando, R. Ishikura, S. Imawaki and Y. Hata, "Fuzzy Control Based Thick Rubber Model for Extracting Cerebral Surface from Neonatal MR Images," Proc. of 2008 World Automation Congress, Sep. (CDROM), 2008.

8. M. Fukuoka, S. Kobashi, T. Nishiyama, N. Shibanuma, T. Fujishiro, S. Imawaki, M. Kurosaka, and Y. Hata, "Kinematics Analysis of Total Hip Arthroplasty with Multi-modal Image Registration," Proc. of 2008 World Automation Congress, Sep. (CDROM), 2008.

9. K. Kawano, S. Kobashi, Y. Tsumori, N. Shibanuma, S. Imawaki, M. Yagi, S. Yoshiya and Y. Hata, "Evaluation of Pivot Shift in the anterior cruciate ligament-injured knee using Inertial and Magnetic Sensors," Proc. of 2008 World Automation Congress, Sep. (CDROM), 2008.

10. T. Oshiba, S. Kobashi, M. Ogawa, K. Ando, R. Ishikura, S. Imawaki and Y. Hata, "Subpixel Extraction of Neonatal Cerebral Surface from 3.0T MR images using a Thick Rubber Model," Proc. of 94th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA2008), p. 690, 2008.

11. Y. Fujimoto, S. Kobashi, M. Ogawa, K. Ando, R. Ishikura, S. Imawaki and Y. Hata, "Fuzzy rule-based Interactive Gyrus Labeling for the Infantile Brain in Magnetic Resonance Images," Proc. of IEEE International Conference on Bioinformatics and Biomeidcine Workshops, pp. 115-116, 2008. 

    1. Human Health Monitoring Systems

12. Y. Hata, H. Yamaguchi, S. Kobashi, K. Taniguchi, and H. Nakajima, "A Human Health Monitoring System of Systems in Bed," Proc. of IEEE third Int. Conf. on System of Systems Engineering, (CDROM).

13. Y. Hata, S. Kobashi, and S. Imawaki "A Fuzzy Ultrasonic Thickness and Wave Speed Determination System by Triangle Probe," Proc. of 5th International Conference on Information Technology and Applications (ICITA 2008), Jun. (CDROM), 2008.

14. H. Yamaguchi, M. Kurono, K. Taniguchi, S. Matsuno, S. Kobashi, and Y. Hata, "A Fuzzy Processing for Repiratory Rate Monitoring System by Optical Fiber Sensor," Proc. of 2008 World Automation Congress, (CDROM), 2008.

15. T. Yamakawa, K. Taniguchi, T. Momen, S. Kobashi and Y. Hata, "Biometric personal identification based on bait pattern using both feet pressure change," Proc. of 2008 World Automation Congress, Sep. (CDROM), 2008.

16. Y. Hata, S. Yamaguchi, S. Kobashi and K. Oe, "Fuzzy Ultrasonic System for Identifyning Cellular Quantity of Artificial Culture Bone," in Proc. 2008 IEEE International Conference on Systems, Man, and Cybernetics, (CDROM).

17. K. Yamamoto, S. Kobashi, Y. Hata, N. Tsuchiya and H. Nakajima, "Fuzzy Heart Rate Variability Detection by Air Pressure Sensor for Evaluating Autonomic Nervous System," in Proc. 2008 IEEE International Conference on Systems, Man, and Cybernetics, (CDROM).

18. G. Hiramatsu, S. Kobashi, Y. Hata and Seturo Imawaki, "Ultrasonic Large Intestine Thickness Determination System for Low Anterior Resection," in Proc. 2008 IEEE International Conference on Systems, Man, and Cybernetics, (CDROM). 

    1. Others

19. Y, Mizuno-Matsumoto, S. Kobashi, Y. Hata, O. Ishikawa and F. Asano, "Functional MRI Changes Affected by Horticultural Therapy for Cerebrovascular Disorders," Proc. of 2008 World Automation Congress, 2008 (CDROM).

20. Y, Mizuno-Matsumoto, S. Kobashi, Y. Hata, O. Ishikawa and F. Asano, "Quantifying the effect of horticultural therapy on brain functions and activities of daily living in cerebrovascular diseases," Neuroscience 2008 (SFN), 2008 (WEB).

2007

1. Medical Image/Signal Processing Systems

2. A. Okayama, S. Yoshiya, M. Yagi, N. Shibanuma, D. Kubo, S. Kobashi, K. Kondo, and Y. Hata, "In Vivo Analysis of Knee Kinematics After ACL Reconstruction Using Automated Image Registration and Fuzzy Logic," 53rd Annual Meeting of Orthopaedic Research Society, Vol. 32, p, 835, 2007.

3. Y. Yahata, S. Kobashi, S. Kan, M. Misaki, K. Kondo, S. Miyauchi and Y. Hata, "Training Artificial Neural Network using MR images for Visual Axes Estimation during Sleep," Proc. of IEEE Int. Conf. on Complex Medical Engineering, 2007. (CDROM)

4. D. Kubo, S. Kobashi, N. Shibanuma, A. Okayama, K. Kondo, M. Yagi, and S. Yoshiya, "Analyzing 3-D Knee Kinematics after ACL Reconstruction Using MDCT and Digital Radiography," Proc. of IEEE Int. Conf. on Complex Medical Engineering, 2007. (CDROM)

5. S. Kobashi, S. Sueyoshi, K. Kondo, and Y. Hata, "Automated Gyrus Labeling Using Knowledge-based Fuzzy Inference Systems," Proc. of IEEE System of Systems Engineering, (CDROM).

6. K. Kawano, S. Kobashi, A. Okayama, K. Kondo, M. Yagi, and S. Yoshiya, "Analyzing 3D Knee Kinematics Using Accelerometers, Gyroscopes and Magnetometers,," Proc. of IEEE System of Systems Engineering, (CDROM).

7. T. Oshiba, S. Kobashi, K. Ando, R. Ishikura, K. Kondo , N. Nakao, Y. Hata, "Cerebral Surface Extraction from Neonatal MR Images using Cerebral Surface Model,," Proc. of IEEE System of Systems Engineering, (CDROM).

8. D. Kubo, S. Kobashi, N. Shibanuma, A. Okayama, K. Kondo, M. Yagi, S. Yoshiya, and Y. Hata, "Fuzzy ROI based 2-D/3-D Registration for Kinetic Analysis after Anterior Cruciate Ligament Reconstruction," Proc. of North American Fuzzy Information Processing (NAFIPS) 2007. (CDROM)

9. S. Kobashi, N. Shibanuma, K. Kondo, M. Kurosaka, and Y. Hata, "Robust Estimation of Knee Kinematics after Total Knee Atrhoplasty with Ebolutional Computing Approach," Proc. of IEEE Int. Conf. on Image Processing, 2007.

10. Y. Yahata, S. Kobashi, S. Kan, M. Misaki, K. Kondo, S. Miyauchi and Y. Hata, "Estimation of Visual Axis during Sleep by analyzing Infrared Video using Artificial Neural Network," in Proc. 2007 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3433-3437, 2007.

11. S. Kobashi, Y. Fujimoto, M. Ogawa, K. Ando, R. Ishikura, K. Kondo, S. Hirota and Y. Hata, "Fuzzy-ASM Based Automated Skull Stripping Method from Infantile Brain MR Images," in Proc. 2007 IEEE International Conference on Granular Computing, pp. 632-635, 2007. 

    1. Human Health Monitoring Systems

12. S. Yamaguchi, K. Nagamune, K. Oe, S. Kobashi, K. Kondo, and Y. Hata, "A Fuzzy Estimation System for Cellular Quantity of Artificial Culture Bone," Proc. of IEEE Int. Conf. on Complex Medical Engineering, 2007. (CDROM)

13. M. Kimura, S. Kobashi, K. Kondo, Y. Hata, Y. T. Kitamura, and T. Yanagida, "Fuzzy Ultrasonic Imaging System for Visualizing Braine Surface under Skull Considering Ultrasonic Refraction," in Proc. 2006 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3790-3794, 2007.

14. Y. Ikeda, S. Kobashi, K. Kondo and Y. Hata, "Fuzzy Ultrasonic Array System for Locating Screw Holes of Intramedullary Nail," in Proc. 2006 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3428-3432, 2007.

15. T. Yamakawa, K. Taniguchi, T. Momen, S. Kobashi, K. Kondo and Y. Hata, "Biometric Personal Identification Using Sole Information," in Proc. 2006 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3438-3442, 2007.

16. Y. Ikeda, N. Shibanuma, S. Kobashi, K. Kondo and Y. Hata, "Ultrasonography System for Locating Screw Hole Positions of Intramedullary Nail Using Image Registration," in International Conference on Soft Computing and Human Sciences, pp. 101-106, 2007.

17. T. Yamakawa, K. Taniguchi, T. Momen, S. Kobashi, K. Kondo and Y. Hata, "Biometric Personal Identification Based on Foot Pressure Change," in International Conference on Soft Computing and Human Sciences, pp. 83-86, 2007.

18. Y. Hata, S. Kobashi, and K. Kondo, "Fine Granule Evaluation Model from Coarse Granule in Medical Ultrasonic System," in Proc. the 2007 IEEE International Conference on Granular Computing, pp. 617-621, 2007.

19. S. Yamaguchi, K. Nagamune, K. Oe, S. Kobashi, K. Kondo, and Y. Hata, "Fuzzy Logic Approach of Celluar Quantity by Ultrasonic System," in Proc. the 2007 IEEE International Conference on Granular Computing, pp. 636-639, 2007.

20. H. Yamaguchi, H. Nakajima, K. Taniguchi, S. Kobashi, K. Kondo, and Y. Hata, "Fuzzy Detection System of Behavior before Getting out of Bed by Air Pressure and Ultrasonic Sensors," in Proc. the 2007 IEEE International Conference on Granular Computing, pp. 114-119, 2007. 

    1. Computer Vision Systems

21. H. Tachibana, K. Kondo, S. Kobashi, and Y. Hata, "Dense Point Set Tracking by Projective Voxel Space of Video Camera Images," Proc. of 2007 International Workshop on Smart Info-Media Systems in Bangkok, pp. 22-27, 2007.

2006

1. J. Yasui, S. Kobashi, K. Kondo, and Y. Hata, "Fuzzy Evaluation System of Velocity and Thickness by Multi-Derection Ultrasonic Probe," in Proc. World Automation Congress, pp. 77-82, 2006.

2. Y. Kamosaki, T. Sawayama, K. Taniguchi, S. Kobashi, K. Kondo, and Y. Hata, "Fuzzy Extraction System of Heart Pulse Using an Ultrasonic Oscillosensor," in Proc. World Automation Congress, pp. 71-76, 2006.

3. Y. Hata, M. Endo, K. Iseri, S. Kobashi, K. Kondo, "Fuzzy Ultrasonic System Design in Medicine," in Proc. 2006 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1764-1769, 2006.

4. M. Kimura, S. Kobashi, K. Kondo and Y. Hata, "In Vitro Ultrasonic Simulation for Visualizing Brain Surface under Skull," Joint 3rd Int. Conf. on Soft Computing and Intelligent Systems and 7th Int. Sympo. on Advanced Intelligent System (SCIS & ISIS 2006), pp. 1836-1841, Sep. 2006.

5. J. Yasui, S. Kobashi, K. Kondo and Y. Hata, "Fuzzy Ultrasonic Testing System with Columnar Rod," Proc. of 2006 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2006), Dec. 2006.

6. Y, Kamosaki, T. Sawayama, K. Taniguchi, S. Kobashi, K. Kondo and Y. Hata, "Fuzzy Extraction System for Heart Pulse by Air Pressure Sensor," Proc. of 2006 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2006), Dec. 2006. 

7. T. Adachi, K. Kondo, S. Kobashi and Y. Hata, "Self-location Estimation of Monocular Camera Using GPS and Buidings Map," Joint 3rd Int. Conf. on Soft Computing and Intelligent Systems and 7th Int. Sympo. on Advanced Intelligent System (SCIS & ISIS 2006), pp. 648-653, Sep. 2006.

8. T. Adachi, K. Kondo, S. Kobashi and Y. Hata, "Identification of a scene by estimating the position and pose of a moving camera ," Proc. of 2006 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2006), Dec. 2006.

9. T. Adachi, K. Kondo, S. Kobashi and Y. Hata, "Self-location Estimation of a Moving Camera Using the map of Feature Points and Edges of Envioronment," in Proc. World Automation Congress, pp. 133-138, 2006. 

10. S. Kobashi, T. Tomosada, N. Shibanuma, K. Kondo, M. Yamaguchi, H. Muratsu, Y. Hata, S. Yoshiya, and M. Kurosaka, "Automated quantification of 3-D knee kinematics using 2-D X-ray fluoroscopy video sequence images," in Proc. of Computer Assisted Radiology and Surgery, Int. J. of Computer Assited Radiology and Surgery, Vol. 1, Supp. 1, pp. 237-239,2006.

11. N. Shibanuma, H, Muratsu, M. Yamaguchi, S. Kobashi, T, Tomosada, Y. Hata, H. Teteishi, S. Yoshiya and M. Kurosaka, "Kinematic Analysis of Post-cam Contact in Weight Bearing Deep Knee Flexion after Posterior Stabilized Total Knee Atrhroplasty," 52nd Annual Meeting of Orthopaedic Research Society, Vol. 31, p, 597, 2007.

12. D. Kubo, S. Kobashi, N. Shibanuma, A. Okayama, K. Kondo, M. Yagi, and S. Yoshiya, "Fully automated measurement of 3-D knee kinematics after anterior cruciate ligament reconstruction using multidetector-row CT and X-ray fluoroscopic images," in Proc. of Computer Assisted Radiology and Surgery, Int. J. of Computer Assited Radiology and Surgery, Vol. 1, Supp. 1, pp. 491,2006.

13. S. Yogo, S. Kobashi, K. Kondo, and Y. Hata, "Estimation of Rotator Cuff by fuzzy Inference Using MRI Images," in Proc. World Automation Congress, pp. 163-168, 2006.

14. Y. Yanagida, S. Kobashi, K. Kondo, and Y. Hata, "Non-Rigid Registration of Multidetector CT Images for Plumonal tissue Elasticity Imaging," in Proc. World Automation Congress, pp. 157-162, 2006.

15. S. Sueyoshi, S. Kobashi, K. Kondo, and Y. Hata, "Automated Gyral Identification Using Interpolated Sulcal Curves," in Proc. World Automation Congress, pp. 219-224, 2006.

16. S. Kobashi, M. Matsui, N. Inoue, K. Kondo, and Y. Hata, "Adaptive Brain Tissue Classification with Fuzzy Spatial Modeling in 3T IR-FSPGR MR Images," in Proc. World Automation Congress, pp. 53-58, 2006.

17. S. Sueyoshi, K. Murata, S. Kobashi, K. Ando, R. Ishikura, K. Kondo , N. Nakao, Y. Hata, "Cortex Classification of the Infantile Brain in MRI Images Using Fuzzy Logic," in Proc. 2006 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1536-1540, 2006.

18. S. Kobashi, Y. T. Kitamura, K. Kondo, T. Yanagida, and Y. Hata, "Accurate Estimation of Hemodynamic Response Function in functional MR Images," in Proc. 2006 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1793-1798, 2006.

19. S. Kobashi, M. Matsui, N. Inoue, K. Kondo, Y. Hata, and T. Sawada, "Automated Mapping of Cortical Thickness using 3.0T IR-FSPGR MRI with intensity non-uniformity artifact," NeuroImage, 12th Annual Meeting of the Organization for Human Brain Mapping (HBM), vol. 31, sup. 1, 2006.

20. S. Kobashi, N. Shibanuma, K. Kondo, M. Kurosaka, and Y. Hata, "Deformation Analysis of in-vivo Implant for Total Hip Arthroplasty Using Multidetector-row CT Images," in Proc. of the 2006 North American Fuzzy Information Processing Society Annual conference - NAFIPS -, (CDROM) 2006.

21. D. Kubo, S. Kobashi, K. Kondo, Y. Hata, A. Okayama, M. Yagi and S. Yoshiya "Analyzing Knee Kinematics after Anterior Cruciate Ligament Reconstruction Using Fuzzy Logic," Joint 3rd Int. Conf. on Soft Computing and Intelligent Systems and 7th Int. Sympo. on Advanced Intelligent System (SCIS & ISIS 2006), pp. 2007-2010, Sep. 2006.

22. Y. Yahata, S. Kobashi, S. Kan, M. Misaki, K. Kondo, S. Miyauchi and Y. Hata, "Neural Network based Eye Position Estimation from Infrared Video during Sleeping," Joint 3rd Int. Conf. on Soft Computing and Intelligent Systems and 7th Int. Sympo. on Advanced Intelligent System (SCIS & ISIS 2006), pp. 2011-2016, Sep. 2006.

23. S. Kobashi, Y. Yahata, S. Kan, K. Kondo, S. Miyauchi and Y. Hata, "Fully Automated Detection of Eye Movement on Sleep Based on Neural Network Modelling," Proc. 2nd International Symposium on Computational Intelligence and Industrial Applications, Nov. 2006.

2005

1. Y. Kamozaki, S. kobashi, K. Kondo, Y. Hata, T. Sawayama, and K. Taniguchi, "A new Ultrasonic Oscillosensor and its Application to Extraction of Sleep State," in Proc. of 2005 IEEE International Ultrasonics Symposium, pp. 1973-1976, 2006.

2. T. Tomosada, S. Kobashi, N. Shibanuma, K. Kondo, M. Yamaguchi, H. Muratsu, Y. Hata, S. Yoshiya, and M. Kurosaka "3-D/4-D Registration Artificial Knee Implants with Predicting Knee Kinematics," in Proc. of Digital Image Computing: Techniques and Applications, pp. 71-78, 2005.

3. C. Maeda, S. Kobashi, N. Shibanuma, K. Kondo, and Y. Hata, "3-D Strain Detection of a Support Implant for an Artificial Hip Joint Using Finite Element Method and Genetic Algorithm,," in Proc. of Digital Image Computing: Techniques and Applications, p. 23, 2005. 

4. S. Yogo, S. Kobashi, K. Kondo, and Y. Hata, "False-Negative Reduction Neural Network Learning for Finding Cerebral Aneurysms with MRA images," in Proc. International Symposium on Advanced Intelligent Systems, 2005, pp. 746-751, 2005.

5. S. Sueyoshi, S. Kobashi, K. Kondo, and Y. Hata "Knowledge-based Automatic Labeling of Cortical Sulci in 3-D Brain MR Images Using Fuzzy Modeling," in Proc. International Symposium on Advanced Intelligent Systems, 2005, pp. 550-555, 2005.

6. S. Kobashi, T. Tomosada, N. Shibanuma, M. Yamaguchi, H. Muratsu, K. Kondo, S. Yoshiya, Y. Hata, and M. Kurosaka, "Computer Aided Diagnosis of Total Knee Arthroplasty Using Two Dimensional X-ray Images with Simulated Annealing," Proc. of Daeduck International Conference on Human-Centered Advance Intelligent Technology 2005, pp. 54-59, 2005.

7. Y. Hata, O. Ishikawa, K. Kondo and S. Kobashi, "Design of Automated Medical Diagnosis System with Normal Degree," Proc. of NAFIPS, (CD-ROM) 2005

8. Y. Yanagida, S. Kobashi, T. Nakano, K. Kondo, Y. Hata and H. Date, "Automated Lung Lobe Segmentation in MDCT Images with Mixture Information of Lobar Fissures and Tubular Tissue Density," Proc. the First International Conference on Complex Medical Engineering CME2005, pp. 341-346, 2005.

9. A. Yamachika, K. Kondo, S. Kobashi and Y. Hata, "Arbitrary View Image Generation Using a Single Camera Based on Rectangular Parallelepiped Approximation and Known Environment Information," Proc. of IEEE International Workshop on Nonlinear Signal and Image Processing, pp. 336-339, Sapporo, May 2005.

10. S. Kobashi, S. Imaeda, Y. T. Kitamura, K. Kondo, Y. Hata, and T. Yanagida, "Wavelet-Based Activation Detection in functional MRI data with no Task, no Stimulus and no repetition," NeuroImage, 11th Annual Meeting of the Organization for Human Brain Mapping (HBM), (CDROM), 2005.

11. S. Imaeda, S. kobashi, Y. T. Kitamura, K. kondo, Y. Hata and T. Yanagida, "Detection of Brain Activation with no Stimulus Using Wavelet Analysis," in Proc. of 2005 IEEE Int. Conf. on Systems, Man and Cybernetics, pp. 1482-1487, 2005.

12. K. Iseri, S. kobashi, K. kondo, K. Yamato and Y. Hata, "A Fuzzy Logic Approach for Estimating Roughness by 1MHz Ultrasonic System," in Proc. of 2005 IEEE Int. Conf. on Systems, Man and Cybernetics, pp. 1500-1505, 2005.

13. M. Endo, S. kobashi, K. kondo and Y. Hata, "Dentistry Support Ultrasonic System for Root Canal Treatment Aided by Fuzzy Logic," in Proc. of 2005 IEEE Int. Conf. on Systems, Man and Cybernetics, pp. 1494-1499, 2005.

14. A. Takio, K. Kondo, S. kobashi and Y. Hata, "Pin Insertion System Using Surface-Markers for Uniform Motion Region," in Proc. of 2005 IEEE Int. Conf. on Systems, Man and Cybernetics, pp. 1931-1936, 2005.

15. A. Yamachika, K. Kondo, S. kobashi and Y. Hata, "Arbitrary View Image Generation for Indoor Surveillance Using a Camera Based on 3D Simple Shape Approximation," in Proc. of 2005 IEEE Int. Conf. on Systems, Man and Cybernetics, pp. 1937-1942, 2005.

2004

1. Y. Hata, O. Ishikawa, S. Kobashi and K. Kondo, "Combination Rule of Normal Degrees on Automated Medical Diagnosis System (AMDS)," Proc. of Computational Intelligence, thoery and applicaions, (CD-ROM) 2004.

2. M. Endo, K. Nagamune, N. Shibanuma, S. Kobashi, K. Kondo and Y. Hata, "Ultrasonography System for Finding Distal Transverse Screw Hole of Intramedullary Nail," Proc. of the Fourth International Symposium on Human and Artificial Intelligence Systems (HART), Fukui, pp. 229-234, 2004.

3. A. Takio, K. Kondo, S. Kobashi, and Y. Hata, "Real-Time Position and Pose Tracking Method for Pin Insertion by Observing Landmarks on a Moving Object," Proc. of the Fourth International Symposium on Human and Artificial Intelligence Systems (HART), Fukui, pp. 235-240, 2004.

4. K. Iseri, S. Kobashi, K. Kondo and Y. Hata, "On Angle Dependency in Fuzzy Ultrasonography System for Estimating Roughness," Proc. of the Fourth International Symposium on Human and Artificial Intelligence Systems (HART), Fukui, pp. 241-246, 2004.

5. T. Ohkawa, S. kobashi, K. Kondo, Y. Hata, T. Nakano, and H. Date, "Automated Volumetric Method of Individual Lung Lobes Based on a Fuzzy Control System Using Multidetector-Row CT," Proc. of 90th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA'04), p. 351, 2004.

6. S. kobashi, S. Imaeda, Y. T. Kitamura, K. Kondo, Y. Hata, and T. Yanagida, "Wavelet Analysis of Functional MRI and Regional Specificity of Hemodynamic Response," Proc. of 90th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA'04), p. 539, 2004.

7. T. Tomosada, S. Kobashi, K. Kondo, Y. Hata, Y. Takano, A. Muranaka, N. Shibanuma, S. Yoshiya and M. Kurosaka "Position and Pose Estimation of the occluded Artificial Knee Joint in X-ray Fluoroscopy Images Based on Fuzzy Image Processing," Proc. of Joint 2nd International Conference on Soft Computing and Intelligent Systems and 5th International Symposium on Advanced Intelligent Systems, (Yokohama, 2004) (CDROM)

8. C. Maeda, S. Kobashi, K. Kondo, Y. Hata, and N. Shibanuma "Fuzzy Object Model-based Image Segmentation for Evaluating Distortion of Artificial Hip Joint In-vivo," Proc. of Joint 2nd International Conference on Soft Computing and Intelligent Systems and 5th International Symposium on Advanced Intelligent Systems, (Yokohama, 2004) (CDROM)

9. K. Iseri, S. Kobashi, K. Kondo, Y. Hata and K. Nagamuner "Fuzzy Ultrasonography System for Estimating Roughness by Using 1MHz Probe," Proc. of Joint 2nd International Conference on Soft Computing and Intelligent Systems and 5th International Symposium on Advanced Intelligent Systems, (Yokohama, 2004) (CDROM)

10. K. Nakao, K. Kondo, S. Kobashi, Y. Hata, and T. Yagi, "3D Shape Reconstruction Using Extended Kalman Filter with an Active Camera," Proc. of Int. Sympo. on Communications and Information Technologies 2004 (ISCIT 2004), pp. 857-860, 2004.

11. S. Imaeda, S. Kobashi, Y. T. Kitamura, K. Kondo, Y. Hata, and T. Yanagida, "Analysis of ER-fMRI Time Series with Modified Mother Wavelet," Proc. of Int. Sympo. on Communications and Information Technologies 2004 (ISCIT 2004), pp. 857-860, 2004.

12. A. Takio, K. Kondo, S. Kobashi, and Y. Hata, "Real-Time Position and Pose Tracking Method of Moving Object Using Visual Servo System," Proc. of IEEE Int. Midwest Symposium on Circuits and Systems, Vol. 1, pp. 321-324, Hiroshima, Jul. 2004.

13. A. Yamachika, K. Kondo, S. Kobashi, and Y. Hata, "Arbitrary Viewpoint Image Generation Method of Unknown Objects in Known Environment Using a Single Camera," Proc. of IEEE Int. Midwest Symposium on Circuits and Systems, Vol. 3, pp. 167-170, Hiroshima, Jul. 2004.

14. T. Ohkawa, S. Kobashi, T. Nakano, K. Kondo, Y. Hata, and H. Data, "A new Measuring Method for the Forced Vital Capacity of Individual Lung Lobes Using Multidetector-row CT," Proc. of the Fifth International Forum on Multimedia and Image Processing (IFMIP), pp. 69-74, 2004.

15. Y. Hata, S. Kobashi, K. Kondo, O. Ishikawa, Y. T. Kitamura, and T. Yanagida, "Transcranial Ultrasonography System Aided by Fuzzy Model," Proc. of the Fifth International Forum on Multimedia and Image Processing (IFMIP), pp. 109-114, 2004.

16. M. Endo, S. Kobashi, K. Kondo, Y. Hata, K. Nagamune, H. Muratsu and N. Shibanuma, "Ultrasoongraphy System of Implant in Bones for Orthopedic Surgery," Proc. of the Fifth International Forum on Multimedia and Image Processing (IFMIP), pp. 133-138, 2004.

17. K. Nakao, K. Kondo, S. Kobashi, S. Kobashi, Y. Hata and T. Yagi, "Iterated Model-Based Estimation of Object Pose Using Kalman Filter with an Active Camera," Proc. of the Fifth International Forum on Multimedia and Image Processing (IFMIP), pp. 139-144, 2004.

18. K. Kondo, S. Kobashi, and Y. Hata, "Motion Detection Using DWT and Kalman Filter in Mixed Domain," Proc. of the Fifth International Forum on Multimedia and Image Processing (IFMIP), pp. 185-189, 2004.

19. S. Kobashi, K. Kondo, and Y. Hata, "Rough Sets Based Medical Image Segmentation with Connectedness," Proc. of the Fifth International Forum on Multimedia and Image Processing (IFMIP), pp. 197-202, 2004.

20. S. Kobashi, K. Kondo, Y. Hata, and N. Shibanuma, "Volume Visualization for Functional Assessments of the Meniscus Using Multidetector CT Images," Proc. of the Sixth Asian Conference on Computer Visoin, Vol. 2, pp. 920-925, 2004.

21. S. Imaeda, S. Kobashi, Y. T. Kitamura, K. Kondo, Y. Hata, and T. Yanagida, "Wavelet-Based Hemodynamic Analyzing Method in Event-related fMRI With Statistical Processing," Proceedings of ISBET 2004, International Congress Series, Vol. 1270, pp. 138-141, 2004.

22. S. Kobashi, S. Imaeda, Y. T. Kitamura, K. Kondo, Y. Hata, and T. Yanagida, "Regional Specificity of Hemodynamic Response Delay Analyzed by a New Wavelet Based Method: HAW," NeuroImage, 9th Annual Meeting of the Organization for Human Brain Mapping (HBM), Hungary, Jun. 2004. (CD-ROM)

23. Y. Hata, O. Ishikawa, S. Kobashi, and K. Kondo, "Automated Medical Diagnosis System (AMDS) with Normal Degree Based on Fuzzy Logic," Proc. 2nd IASTED Int. Conf. On Biomedical Engineering, pp.590-593, Austria, 2004.

24. K. Kondo, K. Nakao, S. Kobashi, and Y. Hata, "Challenge to Development of Guiding System Using an Active Camera for Computer Assisted Surgery," Proc. 2nd IASTED Int. Conf. On Biomedical Engineering, pp.529-533, Austria, 2004.

2003

1. T. Kimura, K. Nagamune, S. Kobashi, K. Kondo, Y. Hata, Y. T. Kitamura, and T. Yanagida, "Three-Dimeinsional Bone Shape Sonography System Aided by Fuzzy Logic," in Proc. of The 8th Australian and New Zealand Conference on Intelligent Information Systems, pp. 63-68, 2003.

2. T. Shimizu, K. Nagamune, S. Kobashi, K. Kondo, Y. Hata, Y. T. Kitamura, and T. Yanagida, "Skull and Brain Visualization by Transranial Sonography System," in Proc. of The 8th Australian and New Zealand Conference on Intelligent Information Systems, pp. 427-432, 2003.

3. Y. Fujiki, S. Kobashi, M. Matsui, N. Inoue, K. Kondo, Y. Hata, and T. Sawada, "Segmentation of Cerebral Lobes in 3.0 T IR-FSPGR MR Images Using Fuzzy Inference," in Proc. of The 8th Australian and New Zealand Conference on Intelligent Information Systems, pp. 69-74, 2003.

4. M. Ninomiya, S. Kobashi, K. Kondo, Y. Hata, S. Imawaki and H. Uchida, "Computer-aided Diagnosis of Cerebral Aneurysm based on Fuzzy Expert System: MR Angiography Study," in Proc. of The 8th Australian and New Zealand Conference on Intelligent Information Systems, pp. 219-224, 2003.

5. S. Kobashi, K. Kondo and Y. Hata, "Fuzzy Representative Line Tracking Algorithm for Enhancing 3-D MR Cholangiography Images," Proc. of IEEE EMBS Asian-Pacific Conference on Biomedical Engineering 2003, (CDROM)

6. T. Ohkawa, S. Kobashi, K. Kondo, Y. Hata, and T. Nakano, "Tubular Tissue-Based Segmentation of Lung Lobes from Chest MDCT Images," Proc. of IEEE EMBS Asian-Pacific Conference on Biomedical Engineering 2003, (CDROM)

7. K. Nagamune, K. Taniguchi, S. Kobashi, K. Kondo, and Y. Hata, "An Ultrasonic Evaluation for Degradation of Insulting Oil Using Fuzzy Inference," Proc. of 2003 IEEE Int. Ultirasonics Symp. (in press)

8. Y. Hata, O. Ishikawa, S. Kobashi, and K. Kondo, "Degree of Normality Based on Fuzzy Logic for a Diagnostic Analysis of Signs Observed in a Human Body," in Proc. 20th Annual Meeting of the North American Fuzzy Information Processing Society - NAFIPS, pp. 155-160, Chicago, 2003.

9. S. Kobashi, K. Kondo and Y. Hata, "Automated Finding of the Willis Ring in MR Angiography Images Using Fuzzy Knowledge Base," Proc. 2003 International Symposium on Multiple-Valued Logic (ISMVL), pp. 83-90, 2003.

10. S. Kobashi, T. Inazumi, Y. T. Kitamura, K. Kondo, Y. Hata, and T. Yanagida, "Quantitative Evaluation of the Wavelet Based Analyzing method (HAW) in ER-fMRI study and comparison with SPM99," NeuroImage, 9th Annual Meeting of the Organization for Human Brain Mapping (HBM), New York, Jun. 2003. (CD-ROM)

11. K. Nakao, K. Kondom, S. Kobashi, Y. Hata, T. Yagi, and T. Hayashi "Object Position/Pose Estimation Using CAD Models for Navigation of Manipulator with a Single CCD Camera," Proc. 2003 IEEE Int, Symp. on Computational Intelligence in Robotics and Automation, pp. 1433-1438, Jul. 2003. (PDF)

2002

1. S. Kobashi, Y. Hata, E. Matsui, H. Kitagaki, and E. Mori, "Automated volumetry of lateral ventricles in 3-D SPGR MR images using physicians’ knowledge represented by fuzzy logic," Proc. 16th International Congress and Exhibition, Computer Assisted Radiology and Surgery (CARS), p. 1028, Jun. 2002. (PDF)

2. K. Nagamune, K. Taniguchi, S. Kobashi, and Y. Hata, “Automated Design of Non-Destructive Testing System by Genetic Algorithms,” Proc. of the fourth International Forum on Multimedia and Image Processing (IFMIP), pp. 159-164, Jun. 2002. (PDF)

3. Y. Hata, M. Terao, S. Kobashi, S. Kanazawa, S. Imawaki and M. Ishikawa, “Fuzzy Maximum Intensity Projection (FMIP) in Medical Imaging,” Proc. of the fourth International Forum on Multimedia and Image Processing (IFMIP), Jun. 2002. (PDF)

4. S. Kobashi, T. Matsumoto, Y. Hata, Y. T. Kitamura, and T. Yanagida, “Fuzzy Lateral Index for Determining the Language Dominance Using Near-Infrared Spectroscopy,” Proc. of the fourth International Forum on Multimedia and Image Processing (IFMIP), pp. 287-292, Jun. 2002. (PDF)

5. S. Kobashi, T. Zui, Y. Hata, Y. T. Kitamura, T. Yanagida, "Wavelet Based Analysis of the Hemodynamic Response Delay in Event Functional MRI," NeuroImage, 8th Annual Meeting of the Organization for Human Brain Mapping (HBM), Sendai, Jun. 2002.  (PDF)

6. S. Kobashi, T. Matsumoto, Y. Hata, Y. T. Kitamura, T. Yanagida, "Fuzzy Logic Approach to Investigating the Language Dominance Using Near-Infrared Spectroscopy," NeuroImage, 8th Annual Meeting of the Organization for Human Brain Mapping (HBM), Sendai, Jun. 2002.  (PDF)

7. S. Kobashi, K. Kondo, Y. Hata, and M. Matsui, " Knowledge-Based Fuzzy Shape Detective Algorithm for Segmenting Human Brain MR Images, " Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, pp. 600-603, Sep. 2002.

8. K. Nagamune, S. Kobashi, K. Kondo, Y. Hata, Y. T. Kitamura, T. Yanagida, “Challenge to the Development of a Transcranial Sonography System,” Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, pp. 604-608, Sep. 2002.

9. K. Kondo, S. Kobashi, Y. Hata, K. Maeda, H. Ishigaki, Y. Nasu, T. Suzuki, K. Mabuchi, “Topograms of Spectral Analysis of Physiological Signals for Intuitive Evaluation,” Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, pp. 614-617, Sep. 2002.

10. Y. Hata, S. Kobashi, K. Kondo, S. Imawaki, M. Ishikawa, “Fuzzy Maximum Intensity Projection (FMIP) of MR Endorrhachis Images,” Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, pp. 618-622, Sep. 2002.

11. C. Yasuba, S. Kobashi, K. Kondo, Y. Hata, S. Imawaki, and M. Ishikawa, " Finding a Non-continuous Tube by Fuzzy Inference for Segmenting the MR Cholangiography Image ", Medical Imaging Computing and Computer-Assisted Intervention-MICCAI2002, Lecture Note in Computer Science 2489, pp. 28-35, Nov. 2002.

12. Y. T. Kitamura, S. Kobashi, Y. Hata, M. Takeda, T. Yanagida, “Dissociation in Human Prefrontal Cortex on a Procedural Learning-Related Activation: A Study by Near-Infrared Optical Topography,“ Proc. of Society for Neuroscience Annual Meeting, (in press) (PDF)

13. T. Kimura, K. Nagamune, S. Kobashi, K. Kondo, Y. Hata, and K. Taniguchi, “Tissue Hardness Estimation from Ultrasonic Waveform Using Fuzzy Inference,” Proc. of 1st Int. Conf. on Soft Computing and Intelligent Systems, Oct. 2002 (PDF)

14. T. Shimizu, K. Nagamune, S. Kobashi, K. Kondo, Y. Hata, Y. Kitamura and T. Yanagida, “An Automated Ultrasound Discrimination System of Tissue under an Obstacle by Fuzzy Reasoning,” Proc. of 1st Int. Conf. on Soft Computing and Intelligent Systems, Oct. 2002 (PDF)

15. M. Ninomiya, S. Kobashi, K. Kondo, Y. Hata, Y. Tokimoto, S. Imawaki, M. Ishikawa, “Feature Extraction from MRA images for Fuzzy Rule-Based Diagnosis of Cerebral Aneurysm,” Proc. of 1st Int. Conf. on Soft Computing and Intelligent Systems, Oct. 2002 (PDF)

16. Y. Fujiki, S. Kobashi, K. Kondo, Y. Hata and M. Matsui, “User-Guided Segmentation of the Frontal Lobe Using Fuzzy Rule-Based Active Contour Model,” Proc. of 1st Int. Conf. on Soft Computing and Intelligent Systems, Oct. 2002 (PDF)

17. T. Matsuura, S. Kobashi, K. Kondo, Y. Hata, “An Image Classification Based on new Similarity Measure in Rough Sets,“ Proc. of 1st International Conference on Fuzzy Systems and Knowledge Discovery, pp. 197-201, Nov. 2002 (PDF).

18. M. Shibata, S. Kobashi, K. Kondo, Y. Hata, S. Imawaki, and M. Ishikawa, “Representative Line Detection Algorithm with Fuzzy Inference and Its Application to Segmentation of CT Meniscus Images,” Proc. of 9th Int. Conf. on Neural Information Processing, pp. 2284-2288, Nov. 2002 (PDF).

19. C. Yasuba, S. Kobashi, K. Kondo, Y. Hata, S. Imawaki, and M. Ishikawa, “Fuzzy Inference Based Augmented Reality in MR Cholangio-Pancreato-graphy Images,” Proc. of 9th Int. Conf. on Neural Information Processing, pp. 796-800, Nov. 2002 (PDF).

20. Y. Hata, T. Shimizu, S. Kobashi, K. Kondo, Y. T. Kitamura, and T. Yanagida, “A Fuzzy Logic Approach to Transcranial Sonography System with Placement Free,” Proc. 1st International Conference on Information Technology & Applications (ICITA2002), Nov.2002. ( CDROM)

21. K. Sugano, K. Kondo, S. Kobashi, Y. Hata, T. Sawayama, K. Taniguchi, “A New Ultrasonic Oscillosensor and its Application to Recognition of Human Action,” Proc. 1st International Conference on Information Technology & Applications (ICITA2002), Nov.2002. ( CDROM)

22. K. Nagamune, K. Taniguchi, S. Kobashi, K. Kondo, Y. Hata, “Comparison between Ultrasonic and Pulse-Radar Non-Destructive Testing Systems,” Proc. 1st International Conference on Information Technology & Applications (ICITA2002), Nov. 2002. ( CDROM)

23. K. Kondo, S. Kobashi, Y. Hata, A. Goto, H. Morinaga, “Extraction of Laminae from Lacustrine Varved Diatomite and its Spectral Analysis,” Proc. 1st International Conference on Information Technology & Applications (ICITA2002), Nov. 2002. ( CDROM)

2001

1. S. Kobashi, T. Matsuura, Y. Hata, S. Imawaki, and M. Ishikawa, " A Rough Set-Based Clustering Method for Biomedical Informatics," Proc. of First Vietnam Japan Symposium on Medical Imaging / Informatics and Applications, pp 23-29, (2001)

2. K. Nagamune, S. Kobashi, Y. Hata, T. Sawayama, and K. Taniguchi, "Ultrasonic Diagnosis in Medical Engineering," Proc. of First Vietnam Japan Symposium on Medical Imaging / Informatics and Applications, pp 30-36, (2001)

3. T. Zui, S. Kobashi, Y. T. Kitamura, Y. Hata, and T. Yanagida, "Data-driven Analysis of Hemodynamic Response Delay in Event-related fMRI Using Wavelet Transform," IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, pp. 113-120, Hawaii, Dec. 2001.

4. S. Kobashi, T. Takae, Y. T. Kitamura, Y. Hata, T. Yanagida, "Fuzzy Medical Image Processing for Segmenting the Lateral Ventricles from MR Images," Proc. of IEEE 2001 Int. Conf. on Image Processing, pp. 1095-1098, Greece, 2001. (PDF)

5. S. Kobashi, Y. Hata, Y. T. Kitamura, Y. Hata, T. Hayakata, T. Yanagida, "Brain State Recognition Using Fuzzy C-Means (FCM) Clustering with Near Infrared Spectroscopy (NIRS)," Lecture Note in Computer Science, International Conference on Computational Intelligence, 7th FUZZY DAYS in Dortmund, pp. 124-136, Oct. 2001. (PDF)

6. Y. Hata, S. Kobashi, Y. Tokimoto, M. Ishikawa, H. Ishikawa, "Computer Aided Diagnosis System of Meniscal Tears with T1 and T2 weighted MR Images Based on Fuzzy Inference," Lecture Note in Computer Science, International Conference on Computational Intelligence, 7th FUZZY DAYS in Dortmund, pp. 55-58, Oct. 2001. (PDF)

7. S. Kobashi, Y. T. Kitamura, M. Otsuki, Y. Hata, H. Naritomi, and T. Yanagida, " Time Series Analysis in Near-Infrared Spectroscopy (NIRS) Aided by Fuzzy C-Means (FCM) and Wavelet Transforms," NeuroImage, 7th Annual Meeting of the Organization for Human Brain Mapping, vol. 13, no. 6, p. S175, Brighton, Jun. 2001.

8. M. Otsuki, Y. T. Kitamura, S. Kobashi, H. Naritomi, Y. Hata, and T. Yanagida, " Functional MRI of Word Retieval: Diference Depending on the Retieal Starategy," NeuroImage, 7th Annual Meeting of the Organization for Human Brain Mapping, vol. 13, no. 6, p. S581, Brighton, Jun. 2001.

9. Y. T. Kitamura, S. Kobashi, Y. Hata, M. Otsuki, H. Naritomi, and T. Yanagida, " Dynamic Brain Activation During Improvement in a Sequential Motor Performance: An NIRS/I Study," NeuroImage, 7th Annual Meeting of the Organization for Human Brain Mapping, vol. 13, no. 6, p. S695, Brighton, Jun. 2001.

10. S. Kobashi, T. Takae, Y. Hata, Y. Kitamura, T. Yanagida, "Automated Segmentation of cerebrospinal fluid and lateral ventricles from human brain MR images,” in Proc. 20th Annual Meeting of the North American Fuzzy Information Processing Society - NAFIPS, Vancouver, pp. 1961-1966, 2001. (PDF)

11. M. Terao, S. Kobashi, Y. Hata, M. Tanaka, Y. Tokimoto, O. Ishikawa, and M. Ishikawa, "Automated Extraction of the Endorrhachis from MR Lumber Images by Fuzzy Inference," in Proc. 20th Annual Meeting of the North American Fuzzy Information Processing Society - NAFIPS, Vancouver, pp. 1620-1625, 2001. (PDF)

12. K. Sugano, K. Nagamune, S. Kobashi, Y. Hata, T. Sawayama, K. Taniguchi, "An Automated Tissue Discrimination Based on Fuzzy Analysis of Ultrasonic Wave," Knowledge-Based Intelligent Information Engineering Systems & Al lied Technologies, pp. 431-435, Sep. 2001.

13. T. Matsuura, S. Kobashi, Y. Hata, "A Medical Image Segmentation Method Using K-means Clustering and Rough Sets," Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, pp. 436-440, Sep. 2001.

14. M. Shibata, S. Kobashi, Y. Hata, "Fuzzy Rule Based Segmentation of CT Knee Images," Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, pp. 441-445, Sep. 2001.

15. C. Yasuba, S. Kobashi, Y. Hata, "3-D Visualization of the Cholecyst and the Bile duct Using Fuzzy Clustering," Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, pp. 446-450, Sep. 2001. 

2000

1. S. Kobashi, Y. Hata, T. Yanagida, Y. Kitamura, H. Kitagaki, M. Ishikawa, "Automated Blood Vessel Segmentation in 3-D time-of-flight MR angiography using 3-D Spatial Fuzyy Models," in Supplement RSNA2000, vol. 217, p. 209, Nov. 2000.

2. S. Kobashi, Y. Hata, Y. Tokimoto and M. Ishikawa, "A fuzzy rule based image segmentation in dynamic MR images of the liver," Proc. of SPIE Medical Imaging 2000, pp. 888-895, May 2000.

3. S. Kobashi, Y. Hata, Y. Kitamura and T. Yanagida, "3D visualization of the structure of the cerebral blood vessels using fuzzy image processing," Soft Computing in Intelligent Systems and Information Processing, Proc. of 2000 Asian Fuzzy Systems Symposium, pp. 846-851, May 2000.

4. Y. Hata, S. Kobashi, N. Kamiura, Y. Kitamura, T. Yanagida, "On the architecture of medical image registration system based on multiple-valued logic," Proc. of the 30th IEEE International Symposium on Multiple-Valued Logic, pp. 273-278, May 2000.

5. S. Kobashi, Y. Hata, M. Ishikawa, Y. Kitamura and T. Yanagida, "Medical image registration based on fuzzy and multiple-valued logics," Proc. of the Second International Forum on Multimedia and Image Processing, pp. 270-275, May 2000.

6. Y. Hata, S. Kobashi, Y. Tokimoto, O. Ishikawa and M. Ishikawa, "A fuzzy region growing method for segmentation of 3D dynamic MR image of The Liver," Proc. of the Second International Forum on Multimedia and Image Processing, pp. 251-257, May 2000.

1999

1. S. Kobashi, Y. Hata, Y. Tokimoto and M. Ishikawa, "Automatic segmentation of blood vessels from MR angiography volume data by using fuzzy logic technique," Proc. of SPIE Medical Imaging 1999, vol. 3661, pp. 968-976.

2. S. Kobashi, N. Kamiura, Y. Hata and F. Miyawaki, "MR angiography image segmentation aided by fuzzy information granulation," Proc. of the Sixth International Workshop on Parallel Image Processing and Analysis, pp. 9-14, Jan. 1999.

3. Y. Hata, S. Kobashi, S. Hirano, M. Ishikawa, "Registration of Multi-Modality Medical Images by Soft Computing Approach," Proc. of IEEE 6th International Conference on Neural Information Processing, pp. 878-883, Nov. 1999.

1998

1. S. Kobashi, N. Kamiura, Y. Hata and F. Miyawaki, "Fuzzy Cluster Analysis for MR Angiography Image Classification," Proc. of the 5th International Conference on Soft Computing and Information / Intelligent Systems, pp. 329-332, vol. 1, Oct. 1998.

2. H. Kitagaki, E. Mori, K. Ishii, S. Kobashi and Y. Hata, "Utility of automated hemispheric surface display of MRI in diagnosing for cortical atrophy," Proc. of the 12th international symposium and exhibition, Computer Assisted Radiology and Surgery -CAR'98-, pp. 76-81, 1998.

3. E. Mori, M. Yasuda, H. Kitagaki, S. Kobashi and Y. Hata, "Automated brain MRI volumetry demonstrated a genetic correlate of brain atrophy in Alzheimer's disease," Proc. of the 12th international symposium and exhibition, Computer Assisted Radiology and Surgery -CAR'98-, pp. 82-87, 1998.

4. Y. Hata, S. Hirano, S. Kobashi, N. Kamiura and M. Ishikawa, "An Application of Fuzzy Logic to Medical Imaging," Proc. of the Vietnam－Japan Bilateral Symposium on Fuzzy Systems and Applications, pp. 119-125, Oct. 1998.

1997

1. Y. Hata, S. Kobashi, N. Kamiura and M. Ishikawa, "Fuzzy logic approach to 3D magnetic resonance image segmentation," Information Processing in Medical Imaging, Lecture Notes in Comp. Sci., vol. 1230, pp. 387-392, Jun. 1997.

2. S. Kobashi, N. Kamiura and Y. Hata, "Soft computing approach to image segmentation," Proc. of the Fifth International Workshop on Parallel Image Analysis -Theory and Applications-, pp. 63-72, Sep. 1997.

3. S. Kobashi, N. Kamiura , Y. Hata and M. Ishikawa, "Automatic robust threshold finding aided by fuzzy information granulation," Proc. of IEEE 1997 Int. Conf. on Image Processing, vol. 1, pp. 711-714, Oct. 1997.  (IEEE)

1996

1. S. Kobashi, N. Kamiura, Y. Hata and K. Yamato, "3D automatic extraction method of the brain regions aided by fuzzy matching techniques," Soft Computing in Intelligent Systems and Information Processing, Proc. of 1996 Asian Fuzzy Systems Symposium, pp. 164-169, Dec. 1996.

2. N. Morinaga, S. Kobashi, N. Kamiura, Y. Hata and K. Yamato, "Decomposition of the brain portions by fuzzy inference techniques," Soft Computing in Intelligent Systems and Information Processing, Proc. of 1996 Asian Fuzzy Systems Symposium, pp. 170-175, Dec. 1996.