Invited Talks

2022

• Syoji Kobashi, "Invitation for AI/ML in Software as a Medical Device: Fundamentals of Computer-Aided Diagnosis for Medical Images", 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS), 2022.

2021

• Syoji Kobashi, "Medical image analysis with artificial intelligence", 5th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), 2021.

• Syoji Kobashi, "Artificial Intelligence for MR image analysis on the brain of older adults", Japan&China Joint Online seminar, 2021.

2020

• Syoji Kobashi, "Current Achievements and Future Perspectives for Artificial Intelligence in Medical Engineering", the 6th International Symposium on Affective Science and Engineering, 2020.

2018

• Syoji Kobashi, "Neonatal Brain development characterization using spatio-temporal statistical shape model", 2018 the 4th International Symposium on Affective Science and Engineering, and the 29th Modern Artificial Intelligence and Cognitive Science Conference, 2018.

• S. Kobashi, "Soft Computing and artificial intelligence in medical image analysis," World Automation Congress, 2018.

• S. Kobashi, "Neonatal Brain Development Modeling Using Brain MR images," Joint 2018 7th International Conference on Informatics, Electronics & Vision (ICIEV) & 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), in press.

• Syoji Kobashi, "Radiomics for Neonatal Cerebral Diseases with MR Images," 2018 International Conference on Innovations in Science, Engineering and Technology ICISET 2018

• Syoji Kobashi, "Machine learning in medical image analysis Case study Automated Interpretation of Hand X-ray Radiograph," International Conference on Machine Learning and Cybernetics (ICMLC) is entering its 18th year while the International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), 2018

2016

• S. Kobashi, "Artificial Intelligence for brain development disorder prediction in neonatal brain magnetic resonance images," 5th International Conference on Informatics, Electronics & Vision (ICIEV), 2016.

• S. Kobashi, "How old is your brain? MRI image analysis can reveal it," International Symposium on Multidisciplinary Engineering (ISMDE) 2016.

2015

• S. Kobashi, "Developmental disorder prediction in neonatal MRI," International Conference on Machine Learning and Cybernetics (ICMLC), 2015.

• S. Kobashi, "Developmental Retardation Quantification Based on Brain Morphometry Analysis," 7 th International Conference on Emerging Trends in Engineering & Technology (ICETET) 2015.

2014

• S. Kobashi, "Soft computing based brain MR angiography image analysis for preventing cerebellar stroke," 3rd International Conference on Informatics, Electronics & Vision (ICIEV), 2014.

• S. Kobashi, "Soft computing based brain MR angiography image analysis for preventing cerebellar stroke," The 25th Modern Artificial Intelligence and Cognitive Science Conference, 2014, online, http://ceur-ws.org/Vol-1144/abstract2.pdf

2013

S. Kobashi, "Fuzzy image segmentation for newborn brain quantification using MR images," International conference on informaics, electronics & Vision (ICIEV), Bangladesh, 2014.

2004

Y. Hata, S. Kobashi, K. Kondo, Y. T. Kitamura and T. Yanagida, "Representation of Normality and Its Application to Development of Transcranial Sonography System," Proc. of Taiwan-Japan Symposium 2004, pp.7-12, 2004.

2001

Y. Hata, S. Kobashi, Y. Kitamura, and T. Yanagida, "Medical Image Processing Aided by Fuzzy Logic," First Vietnam Japan Symposium on Medical Imaging/Informatics and Applications, pp. 1-8, 2001.

2000