2024

101) K. Sasaki, D. Fujita, K. Takatsuji, Y. Kotoura, M. Minami, Y. Kobayashi, T. Sukenari, Y. Kida, K. Takahashi, and S. Kobashi, "Deep learning-based osteochondritis dissecans detection in ultrasound images with humeral capitellum localization," International Journal of Computer Assisted Radiology and Surgery, 2024. https://doi.org/10.1007/s11548-023-03040-8

102) 藤田大輔, 足立勇輝, 小橋昌司, "根管治療痕を考慮したパノラマX線画像における歯牙自動認識法," 知能と情報, accepted.

103) R. Rahman, N. Yagi, K. Hayashi, A. Maruo, H. Muratsu, and S. Kobashi, "Enhancing fracture diagnosis in pelvic X-rays by deep convolutional neural network with synthesized images from 3D-CT," Scientific Reports, Vol. 14, No. 8044, 2024.

104) K. Takatsuji, Y. Kida, K, Sasaki, D. Fujita, Y. Kobayashi, T. Sukenari, Y. Kotoura, M. Minami, S. Kobashi, and K. Takahashi, "Deep Learning-Based Computer-Aided Diagnosis of Osteochondritis Dissecans of the Humeral Capitellum Using Ultrasound Images," The Journal of Bone & Joint Surgery, 2024. DOI: 10.2106/JBJS.23.01164

2023

96) 奥田真矢, 藤田大輔, 田中 洋,  無藤智之, 乾 浩明,  小橋昌司, "畳み込みニューラルネットワークを用いたX線画像からの肩腱板断裂検出," 知能と情報, Vol. 35, No. 1, pp. 593-597, 2023.

97) F. Haque, M. B. I. Reaz, M. E. H. Chowdhury, M. I. bin Shapiai, A. Razak, R. Malik, M. Alhatou, S. Kobashi, I. Ara, S. H. M. Ali, A. A. A Bakar, M. A. S. Bhuiyan, "A machine learning-based severity prediction tool for Michigan neuropathy screening instrumentations," Diagnostics, Vol. 13, No. 2, 2023.

98) 藤田大輔，山本偉嗣，諸岡孝俊，井石琢也，牛飼武，吉矢晋一，小橋昌司, "TKA術後患者満足度決定因子抽出に基づく新たな治療方針の検討," 日本臨床バイオメカニクス学会誌, accepted.

99) R. Rahman, N. Yagi, K. Hayashi, A. Maruo, H. Muratsu, and S. Kobashi, "Fragility fracture of pelvis prediction from computed tomography using boring survey and convolutional neural network," Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 27, No. 6, pp. 1079-1085, 2023.

100) Md. A. Ali, D. Fujita, and S. Kobashi, "Teeth and prostheses detection in dental panoramic X-rays using CNN-based object detector and a priori knowledge-based algorithm," Scientific Reports, Vol. 13, No. 16542, 2023.

2022

95) K. Nakatsu, R. Rahman, K. Morita, D. Fujita, and S. Kobashi, "Automatic Carpal Site Detection Method for Evaluation of Rheumatoid Arthritis Using Deep Learning," Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 26, No. 1, pp. 42-50. 2022.

2021

94) D. Fujita, S. Harumoto, R. Deguchi, S. Yamashita and S. Kobashi, "Prediction of Ureter ESWL Outcome by Machine Learning and Model Interpretation Approach Using SHAP,"  International Journal of Biomedical Soft Computing and Human Sciences, Vol. 26, No. 2, 2021. DOI: 10.24466/ijbschs.26.2_97

93) F. Haque, M. Bin Ibne Reaz, M. E.H. Chowdhury, S. Hamid Md Ali, A. Ashrif A Bakar, T. Rahman, S. Kobashi, C. A. Dhawale, M. Arif Sobhan Bhuiyan, "A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations," Computers in Biology and Medicine (IF=4.589), 2021.

92) S. Ahmed, T. A. Bhuiyan, T. Kishi, M. Nii, and S. Kobashi, "Human Activity Classification Based on Angle Variance Analysis Utilizing Poincare Plot," Applied Sciences (IF=2.679), Vol. 11, No. 16, 2021.

91) K. Ukai, R. Rahman, N. Yagi, K. Hayashi, A. Maruo, H. Muratsu, and S. Kobashi, "Detecting pelvic fracture on 3D-CT using deep convolutional neural networks with multi-orientated slab images," Scientific Reports (IF=3.999), Vol. 11, No. 11716, 2021. 

90) 中津康平, 田中 洋,  乾 浩明,  信原克哉,  小橋昌司, "機械学習を用いた投球動作の運動学的パラメータからの競技レベル推定," 日本臨床バイオメカニクス学会誌, Vol. 42, 2021.

2020

89) F. P. Mahdi, H. Tanaka, K. Nobuhara, and S. Kobashi, "Automatic Segmentation of the Humerus Region in 3-D Shoulder CT images Using U-Net," International Journal of Biomedical Soft Computing and Human Sciences, Vol. 25, No. 2, pp. 67-74, 2020.

88) H. Tanaka, T. Hayashi, H. Inui, T. Muto, K. Tsuchiyama, H. Ninomiya, Y. Nakamura, S. Kobashi, and K. Nobuhara, "Stride-Phase Kinematic Parameters That Predict Peak Elbow Varus Torque," Orthopaedic Journal of Sports Medicine (IF=2.492), Vol. 8, No. 12, 2020. https://journals.sagepub.com/doi/10.1177/2325967120968068

87) F. P. Mahdi, K. Motoki, and S. Kobashi, "Optimization technique combined with deep learning method for teeth recognition in dental panoramic radiographs," Scientific Reports (IF=3.998), Vol. 10, No. 19261, 2020.  https://doi.org/10.1038/s41598-020-75887-9

86) F. P. Mahdi, T. Muto, H. Tanaka, H. Inui, K. Nobuhara, and S. Kobashi, "Construction of 3-D Humeral Head Statistical Shape Model in CT Images," Applied Sciences (IF=2.474), Vol. 10, No. 16, 2020. https://doi.org/10.3390/app10165591

85) S. Nishio, B. Hossain, M. Nii, T. Hiranaka, S. Kobashi, "Surgical Phase Recognition with Wearable Video Camera for Computer-aided Orthopaedic Surgery-AI Navigation System ," International Journal of Affective Engineering (IJAE), 2020 (https://doi.org/10.5057/ijae.IJAE-D-19-00018 ).

2019

84) K. Morita, K. Ando, R. Ishikura, S. Kobashi, and T. Wakabayashi, "Neonatal Brain MRI Segmentation Using Fine-Tuned Convolutional Neural Networks," International Journal of Biomedical Soft Computing and Human Sciences (IJBSCHS), Vol. 24, No. 2, pp. 83-90, 2019.

83) 鵜飼 和歳, Rashedur Rahman, 小橋 昌司, "動画像を用いた顔皮膚血流変化に基づく生体検知法," 電気学会論文誌E, Vol. 139, No. 2, pp. 29-37, 2019.

82) K. Morita, M. Nii, M. Koh, K. Kashiwa, H. Nakayama, S. Kambara, S. Yoshiya, and S. Kobashi, "Bone Tunnel Placement Determination Method for 3-D Images and Its Evaluation for Anterior Cruciate Ligament Reconstruction," Current Medical Imaging Review, 2019. DOI : 10.2174/1573405614666181030125846

81) S. B. Alam, A. Shimiuzu, and S. Kobashi, "Spatiotemporal Statistical Shape Model for temporal shape change analysis of adult brain," Current Medical Imaging Review, 2018.  DOI : 10.2174/1573405615666181120141147

2018

80) M. Nii, Y. Kato, M. Morimoto, S. Kobashi, and N. Kamiura, "Ovarian Follicle Classification using Convolutional Neural Networks from Ultrasound Scanning Images," International Journal of Computer Vision and Signal Processing, Vol. 8, No. 1, pp. 12-20, 2018,

79) 鵜飼 和歳, ラシェドゥーラ ラーマン, 小橋 昌司, "多点計測投票法による時系列顔画像からの短時間R-R間隔推定," システム制御情報学会論文誌, Vol. 31, No. 12, pp. 403-411, 2018.

78) T. Morooka, M. Okuno, D. Seino, T. Iseki, S. Fukunishi  S. Kobashi, S. Yoshiya, "Intraoperative kinematic analysis of posterior stabilized total knee arthroplasty with asymmetric helical post-cam design," European journal of orthopaedic surgery & traumatology : orthopedie traumatologie, 2018.

77) 盛田健人, 田下徳起, 新居学, 小橋昌司, "SVRを用いた手関節X線画像におけるリウマチmTSスコアの推定," MIT誌, Vol. 36, No. 5, pp. 238-242, 2018.

76) F. A. Israt, M. Zaman, M. U. Ahmed, S. Kobashi and M. A. R. Ahad, "A Study on Human Action Recognition based on a modified-MHI," International Journal of Biomedical Soft Computing and Human Sciences (IJBSCHS), Vol. 23, No. 1, pp. 37-50, 2018.

75) T. Paul, U. A. Shammi, M. U. Ahmed, R. Rahman, S. Kobashi and M. A. R. Ahad, "A Study on Face Detection Using Viola-Jones Algorithm Various Backgrounds, Angels and Distances," International Journal of Biomedical Soft Computing and Human Sciences (IJBSCHS), Vol. 23, No. 1, pp. 27-36, 2018.

74) B. Hossain, M. Nii, S. Yoshiya, and S. Kobashi, "Fully-Automated Femoral Coordinate System Definition for Constructing Statistical Model of Distal Femur," International Journal of Biomedical Soft Computing and Human Sciences, Vol. 22, No. 2, 73-83, 2018.

73) B. Hossain, T. Morooka, M. Okuno, M. Nii, S. Yoshiya, and S. Kobashi, "Surgical Outcome Prediction in Total Knee Arthroplasty using Machine Learning," International Journal of Intelligent Automation and Soft Computing, 2018.

72) K. Morita, M. Nii, N. Ikoma, T. Morooka, S. Yoshiya, and S. Kobashi, "Implanted knee joint kinematics recognition in digital radiograph images using particle filter," Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 22, No.1, pp. 113-120, 2018.

71) 神原俊一郎, 中山 寛, 小橋昌司, 吉矢晋一, "内反変形膝に対するdouble level osteotomyの術後回旋アライメントの変化 -3次元CTを用いた解析-," 臨床バイオメカニクス, Vol. 39, pp. 107-110, 2018.

70) M. Yasugi, B. Hossain, M. Nii, and S. Kobashi, "Relationship between cerebral aneurysm development and cerebral artery shape," Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 22, No. 2, pp. 249-255, 2018.

2017

69) S. B. Alam, R. Rahman, S. Kobashi, and Y. Hata, "Muscle thickness measurement from reflection echo of the boundary surface ," International Journal of Computer Vision & Signal Processing (IJCVSP), Vol. 7, No. 1, pp. 1-9, 2017.

68) M. Nii, R. Kashiwaki, M. Morimoto, S. Kobashi, N. Kamiura, Y. Hata, S. Imawaki, T. Ishikawa, and H. Matsubayashi, "Ovarian Follicle Classification without Direct Deformation Information from Ultrasonic Images," International Journal of Biomedical Soft Computing and Human Sciences, Vol. 22, No. 1, pp. 19-28, 2017.

67) 井城一輝 , 盛田健人 , 新居学 , 田中洋 , 小橋昌司 , 信原克哉 , “オープン MRIを用いた 肩腱板形態診断 の ため肩腱板 3次元形状再構築 次元形状再構築 ,” 臨床 バイオメカニクス , vol. 38, pp. 113-118, 2017

66) N. Kamiura, S. Kobashi, M. Nii, and T. Yumoto, "On Map-Based Analysis of Item Relationships in Specific Health Examination," ICICE-ED, Vol. E100.D, No. 8, pp. 1625-1633,  2017 .

2016

65) A. Yukawa, A. Kono, T. Nishii, N. Kamiura, S. Kobashi and Y. Hata, "Pulmonary artery domain region extraction from MDCT image," International Journal of Applied Electromagnetics and Mechanics, Vol. 52, No. 1-2, pp. 479-486, 2016. 

64) S. Furukawa, S. Kobashi, N. Kamiura, Y. Hata, S. Imawaki, and T. Ishikawa, "Continuous-wavelet-transform-based visualization for seminiferous tubule using broadband ultrasonic imaging," International Journal of Applied Electromagnetics and Machines, pp. 1-9, 2016.

63.) K. Morita, S. Kobashi, K. Kashiwa, H. Nakayama, S. Kambara, M. Morimoto, S. Yoshiya, and S. Aikawa, "Lateral Direction Estimation Method in Knee MRI for Anterior Cruciate Ligament Reconstruction," Japanese Journal of Clinical Biomechanics, 2016.

62) S. B. Alam, R. Nakano, and S. Kobashi, "Brain Age Estimation Using Multiple Regression Analysis in Brain MR images," International Journal of Innovative Computing, Information and Control, Vol. 12, No. 4, pp. 1385-1396, 2016.

61) K. Morita, S. Kobashi, Y. Wakata, K. Ando, M. Morimoto, R. Ishikura, and S. Aikawa, "Non-rigid cerebral surface registration for neonates using ICP algorithm," Transactions of the Institute of Systems, Control and Information Engineers, Vol. 29, No. 5, pp. 195-201, 2016.

2015

60.      Y. Matsuo, M. Watanabe, M. Taniike, I. Mohri, S. Kobashi, M. Tachibana, Y. Kobayashi, and Y. T. Kitamura, "Gap Effect Abnormalities during a Visually Guided Pro-Saccade Task in Children with Attention Deficit Hyperactivity Disorder," PLoS One, Vol. 10, No. 5, 2015.

59.      R. Tsutsui, N. Kamiura, T. Isokawa, S. Kobashi, H. Tabuchi, and T. Yamauchi, "On Personal Identification for Ophthalmological Patients Based on Clinical Data Measured by Optical Coherence Tomography," Journal of the Institute of Systems, Control and Information Engineers, Vol. 28, No. 4, pp. 155-160, 2015.

58.      R. Nakano, S. Kobashi, K. Kuramoto, Y. Wakata, K. Ando, R. Ishikura, T. Ishikawa, S. Hirota, "Automatic segmentation of brain region from MR images using fuzzy object growth model," Medical Imaging Technology, Vol. 33, No. 2, pp. 49-57, 2015

2014

57.      T. Takeda, Y. Sakai, S. Kobashi, K. Kuramoto and Y. Hata, "Foot Age Estimation System from Walking Dynamics Based on Fuzzy Logic," Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 18, No.4, pp.489-498, 2014.   

56.      Y. Mori, T. Chen, T. Fujisawa, S. Kobashi, K. Ohno, S. Yoshida, Y. Tago, Y. Komai, Y. Hata, and Y. Yoshioka, "From cartoon to real time MRI: in vivo monitoring of phagocyte migration in mouse brain," Nature Scientific Report, Vol. 4, 6997, 2014.

55.      S. Tada, S. Kobashi, F. Imamura, T. Morooka, K. Kuramoto, S. Yoshiya and Y. Hata, "Accuracy Improvement by Evaluating Relative Pose/Position for 3-D Kinematics Analysis of TKA Knee" J. of Japanese Society for Clinical Biomechanics, Vol. 35, pp. 149-153, 2014.

2013

54.      S. Hayashi, T. Nishiyama, T. Fujishiro, N. Kanzaki, N. Shibanuma, S. Kobashi and M. Kurosaka, "Automated pelvic anatomical coordinate system is reproducible for determination of anterior pelvic plane," Computer Methods in Biomechanics and Biomedical Engineering, online first, 2013

53.      S. Kobashi, K. Kuramoto, Y. Wakata, K. Ando, R. Ishikura, T. Ishikawa, S. Hirota, and Y. Hata, "Newborn brain MR image segmentation using deformable surface model based on fuzzy knowledge models," International Journal of Intelligent Computing in Medical Sciences and Image Processing, Vol. 5, No. 2, pp. 115-124, 2013.

52.      T. Takeda, K. Kuramoto, S. Kobashi and Y. Hata, "A fuzzy moving object estimation using infrared TOF camera," International Journal of Intelligent Computing in Medical Sciences and Image Processing, Vol. 5, No. 2, pp. 147-160, 2013. 

51.      T. Takeda, K. Kuramoto, S. Kobashi and Y. Hata, "On optimal operator for combining left and right sole pressure data in biometrics security," Journal of Hindawi - Advances in Fuzzy Systems, Vol. 2013, pp.1-10, 2013.

50.      N. Yagi, M. Nakamura, T. Ishikawa, K. Kuramoto, S. Kobashi, and Y. Hata, "Noninvasive Diagnosis of Blood Flow for Transcranial Doppler Ultrasonography," International Journal of Intelligent Computing in Medical Sciences and Image Processing, Vol. 5, No. 1, pp. 67-79, 2013.

2011

49.      T. Takeda, K. Kuramoto, S. Kobashi, and Y. Hata, "Fuzzy-Logic is precise-Its application to biometric system," Journal of Scientia Iranica, Vol. 18, No. 3, pp. 655-662, 2011. 

48.      Y. Nakajima, S. Kobashi, F. Imamura, K. Kuramoto, N. Shibanuma, S. Yoshiya, and Y. Hata, "Automated 3-D Kinematics Analysis of TKA Knee with 2-D Digital Radiograph Video Using Monte Carlo Method," Japanese Journal of Clinical Biomechanics, Vol. 32, pp. 467-502, 2011 

47.      A. Hashioka, S. Kobashi, K. Kuramoto, Y. Wakata, K. Ando, R. Ishikura, T. Ishikawa, and Y. Hata, "A neonatal brain MR image template of 1 week newborn," International Journal of Computer Assisted Radiology and Surgery, Vol. 7, No. 2, pp. 273-280, 2011.

46.      Y. Tsumori, S. Yoshiya, M. Kurosaka, S. Kobashi, N. Shibanuma, and M. Yamaguchi, "Analysis of Weight-bearing kinematics of Posterior-Stabilized Total Knee Arthroplasty with Novel Helical Post-Cam Design," The Journal of Arthroplasty, Vol. 26, No. 8, pp. 1556-1561, 2011.

45.      Y. Hata, S. Kobashi, K. Kuramoto, and H. Nakajima, "A Fuzzy Biosignal Detection Algorithm and Its Application to Health Monitoring," International Journal of Applied and Computational Mathematics, Vol. 10, No. 1, pp. 133-145, 2011.

44.      S. Kobashi, D. Yokomichi, Y. Wakata, K. Ando, R. Ishikura, K. Kuramoto, S. Hirota, and Y. Hata, "Cerebral Contour Extraction with Particle Method in Neonatal MR Images", Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 15, No. 3, pp. 362-369, 2011.

2010

43.      S. Kobashi and Y. Hata, "Lung Lobar Segmentation Using Tubular Tissue Density from Multidetector-row CT images", International Journal of Innovative Computing, Information and Control, Vol. 6, No. 3, pp. 828-842, 2010.

42.      Y. Hata, T. Yamakawa, S. Kobashi, K. Kuramoto, K. Asari, and K. Taniguchi, "Personal Classification Method Based on Sole Pressure Sensor," IEEJ Transactions on Electrical and Electronic Engineering, EIS, Vol. 130, No. 11, pp. 1953-1959, 2010.

41.      S. Tsuji-Akimoto, S. Hamada, I. Yabe, I. Tamura, M. Otsuki, S. Kobashi and H. Sasaki, "Writing errors as a result of frontal dysfunction in Japanese patients with amyotrophic lateral sclerosis," Journal of Neurology, Vol. 257, No. 12, pp. 2071-2077, 2010.

40.      S. Kobashi, S. Fujimoto, T. Nishiyama, N. Kanzaki, T. Fujishiro, N. Shibanuma, K. Kuramoto, M. Kurosaka, and Y. Hata "Robust Pelvic Coordinate System Determination for Pose Changes in Multidetector-row Computed Tomography Images", International Journal of Fuzzy Logic and Intelligent System, Vol. 10, No. 1, pp. 65-72, 2010.

39.      H. Yamaguchi, H. Nakajima, K. Taniguchi, S. Kobashi, and Y. Hata, "An Ultrasonic and Air Pressure Sensing System for Detection of Behavior before Getting Out of Bed Aided by Fuzzy theory", IEICE Transactions on Information and Systems, Vol. 93-D, No. 3, pp. 542-549, 2010.

38.      S. Kobashi, N. Shibanuma and Y. Hata, "Fuzzy visual hull algorithm for three-dimensional shape reconstruction of TKA implant from X-ray cone-beam images", Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 14. No. 2, pp. 122-127, 2010.

2009

37.      Y. Hata and S. Kobashi, "Fuzzy Segmentation of Endorrhachis in Magnetic Resonance Images and Its Fuzzy Maximum Intensity Projection", Applied Soft Computing Journal, Vol. 9, No. 3, pp. 1156-1169, 2009.

36.      Y. Hata, S. Kobashi and S. Imawaki, "An ultrasonic thickness and wave speed determination system aided by fuzzy logic", Int. J. Computer Applications in Technology, Vol. 34, No. 4, pp. 257-263, 2009.

35.      Y. Hata, S. Kobashi, and H. Nakajima, "Human Health Care System of Systems," IEEE Systems Journal, Vol.3, No.2, pp. 231-238, 2009.

34.      S. Kobashi, Y. Yanagida, K. Kondo, and Y. Hata, "Elasticity imaging with fuzzy control-based registration using Multidetector-row CT," International Journal of Intelligent Computing in Medical Sciences and Image Processing, Vol. 1, No. 2, pp. 139-148, 2007.

2008

33.      Y. Mizuno-Matsumoto, S. Kobashi, Y. Hata, O. Ishikawa, and F. Asano, "Horticultural therapy has Beneficial Effects on Brain Functions in Cerebrovascular Diseases," International Journal of Intelligent Computing in Medical Sciences and Image Processing, Vol. 3, No. 2, pp. 169-182, 2008.

32.      S. Kobashi, Y. T. Kitamura, T. Yanagida, and Y. Hata, "Hemodynamic Response Latency Analysis Using Wavelet Transform in Event-related Functional MRI," International Journal of Intelligent Computing in Medical Sciences and Image Processing, Vol. 2, No. 3, pp. 197-208, 2008.

31.      S. Kobashi, Y. Yahata, S. Kan, M. Misaki, T. Koike, K. Kondo, S. Miyauchi and Y. Hata " Eye-position estimation during sleep using infrared video in functional MRI," Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 12, No. 1, pp. 32-40, 2008.

30.      S. Kobashi, M. Matsui, N. Inoue, K. Kondo, T. Sawada, and Y. Hata, " Cerebral Cortex Segmentation with Adaptive Fuzzy Spatial Modeling in 3.0T IR-FSPGR MR Images," Journal of Japan Society for Fuzzy theory and Systems, Vol. 20, No. 1, pp. 29-40, 2008.

29.      M. Kimura, S. Kobashi, K. Kondo, Y. Hata, Y. T. Kitamura, and T. Yanagida, "Fuzzy Ultrasonic Imaging System for Visualizing Brain Surface and Skull Considering Refraction," Journal of Japan Society for Fuzzy theory and Systems, Vol. 20, No. 1, pp. 79-89, 2008.

2007

28.      D. Kubo, S. Kobashi, N. Shibanuma, A. Okayama, M. Yagi, K. Kondo, S. Yoshiya, and Y. Hata, "Automated Analysis of Knee Kinematics after Anterior Cruciate Ligament Reconstruction Using Multidetector-row CT and Digital Radiography," Journal of Japanese Society for Clinical Biomechanics, Vol. 28, pp. 341-347, 2007.

27.      Y. Kamozaki, T. Sawayama, K. Taniguchi, S. Kobashi, K. Kondo, and Y. Hata, "A New Ultrasonic Oscillosensor and Its Application to Biological Information Measurement System Aided by Fuzzy theory," IEICE Transactions on Information and Systems, Vol. E90-D, No. 11, pp. 1864-1872, 2007.

26.      E. Maki, K. Nagamune, N. Shibanuma, S. Kobashi, K. Kondo and Y. Hata, "Ultrasonography System Aided by Fuzzy Logic for Identifying Implant Position in Bone," IEICE Transactions on Information and Systems, Vol. E90-D, No. 12, pp. 1990-1997, 2007.

2006

25.      S. Kobashi, K. Kondo and Y. Hata, "Computer-Aided Diagnosis of Intracranial Aneurysms in MRA Images with Case-Based Reasoning," IEICE Transactions on Information and Systems, Vol. E89-D, No. 1, pp. 340-350, Jan. 2006.

24.      S. Kobashi, Y. Fujiki, M. Matsui, N. Inoue, K. Kondo, Y. Hata and T. Sawada, "Interactive Segmentation of the Cerebral Lobes with Fuzzy Inference in 3T MR Images," IEEE Transactions on Systems, Man and Cybernetics, Vol. 36, No. 1, pp.74-86, 2006.

23.      S. Kobashi, Y. T. Kitamura, K. Kondo, Y. Hata and T. Yanagida, " Language Laterality Index Regionally Specified with Fuzzy Logic Using Near-Infrared Spectroscopy," Journal of Japan Society for Fuzzy theory and Systems, Vol. 18, No. 3, pp. 414-424, Jul. 2006.

22.      S. Kobashi, K. Kondo, and Y. Hata, " Fully Automated Segmentation of Cerebral Ventricles From 3-D SPGR MR Images Using Fuzzy Representative Line," Soft Computing, Vol. 10, No. 2, pp. 1181-1191, 2006.

2005

21.      Y. Hata, S. Kobashi, K. Kondo, and T. Nakano, "Automated 3D Surface Display for Evaluating Meniscal Tears Aided by Fuzzy Expert System," Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 9, No. 1, pp. 70-79, 2005.

20.      S. Kobashi, T. Tomosada, N. Shibanuma, M. Yamaguchi, H. Muratsu, K. Kondo, S. Yoshiya, Y. Hata and M. Kurosaka, "Fuzzy Image Matching for Pose Recognition of Occluded Knee Implants Using Fluoroscopy Images," Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 9, No. 2, pp. 181-195, 2005.

19.      S. Sueyoshi, S. Kobashi, K. Kondo and Y. Hata, " Knowledge-based Automatic Labeling of Cortical in 3-D Brain MR Images," Medical Imaging Technology, Vol. 23, No. 4, pp. 211-219, 2005. 

18.      S. Imaeda, S. Kobashi, Y. T. Kitamura, K. Kondo, Y. Hata and T. Yanagida, "Unsupervised Analyzing Method of fMRI Data Using Wavelet Transform," Medical Imaging Technology, Vol. 23, No. 4, pp. 220-227, 2005. 

17.      Y. Hata, S. Kobashi, K. Kondo, Y. T. Kitamura, and T. Yanagida, " Transcranial Ultrasonography System for Visualizing Skull and Brain Surface Aided by Fuzzy Expert System," IEEE Trans. on Systems, Man and Cybernetics, pp. 1360-1373, Vol. 35, No. 6, 2005

16.      S. Yogo, S. Kobashi, K. Kondo and Y. Hata, "Computer-Aided Diagnosis System for Cerebral Aneurysms Using Constrained Neural Network," Medical Imaging Technology, Vol. 23, No. 5, pp. 333-338, 2005. 

2004

15.      S. Kobashi, K. Kondo, and Y. Hata, "Target Image Enhancement Using Representative Line in MR Cholangiography Images," International Journal of Imaging Systems and Technology, Vol. 14, No. 3, pp. 122-130, 2004.

14.      K. Nagamune, S. Kobashi, K. kondo, Y. Hata, K. Taniguchi, and T. Sawayama, "Unconstrained Evaluation System for Heart Rate Using Ultrasonic Vibrograph," Japanese Journal of Applied Physics, Vol. 43, No. 5B, pp. 3237-3238, 2004.

2003

13.      K. Nagamune, K. Taniguchi, S. Kobashi, and Y. Hata, " Ultrasonic Nondestructive Evaluation for Embedded Objects in Concrete Aided by Fuzzy Logic," IEICE Transactions on Information and Systems, Vol. E86-D, No. 1, pp. 79-88, Jan. 2003.

12.      T. Kimura, K. Nagamune, S. Kobashi, K. Kondo, Y. Hata, and K. Taniguchi, "A fuzzy inference system for identifying tissue elasticity using ultrasound,” Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 7, No. 1, pp. 31-39, 2003.

10.      K. Nagamune, K. Taniguchi, S. Kobashi, and Y. Hata, " Automated Extraction System of Embedded Tubes from Pulse Radar Image Based on Fuzzy Expert System," IEICE Transactions on Information and Systems, Vol. E86-A, No. 7, pp. 1778-1789, July 2003.

9.      Y. Fujiki, S. Kobashi, M. Matsui, N. Inoue, K. Kondo, Y. Hata and T. Sawada, "3-D Segmentation of the Frontal Lobe in 3.0T IR-FSPGR MR Images Using Fuzzy Rule-Based ACM,” Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 7, No. 2, pp. 189-199, 2003.

2002

8.      T. Okuzaki, S. Hirano, S. Kobashi, Y. Hata, and Y. Takahashi, "A Rough Set Based Clustering Method by Knowledge Combination,” IEICE Transactions on Information and Systems, Vol. E85-D, No. 12, pp. 1898-1908, Dec. 2002.

2001

7.      S. Kobashi, N. Kamiura, Y. Hata and F. Miyawaki, "Volume Quantization Based Neural Network Approach to 3D MR Angiography Image Segmentation," Image and Vision Computing, Vol. 19, No. 4, pp. 185-193, 2001.

2000

6.      S. Kobashi, Y. Hata, Y. Kitamura, T. Yanagida, "A Fuzzy Rule-Based Region Growing Method for Segmenting 3-D Dynamic MR Images," Journal of Biomedical Fuzzy Systems Association, Vol. 6, No. 1, pp. 85-94, 2000.

5.      S. Kobashi, N. Kamiura, Y. Hata and F. Miyawaki, "Fuzzy Information Granulation on Blood Vessel Extraction from 3-D TOF MRA Image," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 14, No. 4, pp. 409-425, 2000.

4.      Y. Hata, S. Kobashi, S. Hirano, H. Kitagaki, E. Mori, "Automated segmentation of human brain MR images aided by fuzzy information granulation and fuzzy inference," IEEE Trans. Syst., Man, Cybern. C, Vol. 30, No. 3, pp. 381-395, Aug. 2000.

1998

3.      S. Kobashi, N. Kamiura and Y. Hata, "Fuzzy Information Granulation on Segmentation of Human Brain MR Images," Journal of Japan Society for Fuzzy theory and Systems, Vol. 10, No. 1, pp. 117-125, Feb. 1998.

2.      H. Kitagaki, E. Mori, S. Yamaji, K. Ishii, N. Hirono, S. Kobashi and Y. Hata, "Frontotemporal dementia and Alzheimer disease: evaluation of cortical atrophy with automated hemispheric surface display generated with MR images," Radiology, Vol. 208. No. 2, pp. 431-439, Aug. 1998.

1996

1.      S. Kobashi, N. Morinaga, S. Hirano, N. Kamiura, Y. Hata and K. Yamato, "Computer aided system for the diagnosis of the Alzheimer's disease," Transactions of the Institute of Electrical Engineers of Japan, Part-C, Vol. 116-C, No. 11, pp. 1238-1245, Nov. 1996.