著書

• Ze Jin, Taiguang Yuan, Yukiko Tokuda, Yasuto Naoi, Noriyuki Tomiyama, Kenji Suzuki. Radiomics: Approach to Precision Medicine, Artificial Intelligence and Machine Learning for Healthcare, Springer, pp. 17-29, Sept. 2022.  公式リンク  

国際会議発表 (査読有り)

• Yuan T., Jin Z., Tokuda Y., Tomiyama N., Naoi Y., Suzuki K.. Forecast of genetic assessments for tumor response to chemotherapy only with pretherapeutic breast MRI by means of radiogenomic imaging biomarker scheme, Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024), Dec. 2024.
• Taiguang Yuan, Ze Jin, Yukiko Tokuda, Yasuto Naoi, Noriyuki Tomiyama, Takashi Obi, Kenji Suzuki. Prediction of Genetically-Evaluated Tumour Responses to Chemotherapy from Breast MRI using Machine Learning with Model Selection, Journal of Physics: Conference Series, vol. 1780, Oct. 2020.
• Taiguang Yuan, Ze Jin, Tokuda Y., Naoi Y., Tomiyama N., Kenji Suzuki. MR Imaging biomarkers for Prediction of Genetic Assessment for Breast Cancer Recurrence: A Radiogenomics Study, IEICE Technical Committee on Medical Imaging (MI), IEICE Technical Report, pp. 227-230, Jan. 2020.
• Taiguang Yuan, Ze Jin, Tokuda Y., Naoi Y., Tomiyama N., Kenji Suzuki. Discovery of MR Imaging Biomarkers for Prediction of Pathological Complete Responses to Chemotherapy for Breast Cancer, The 4th International Symposium on Biomedical Engineering (ISBE2019), Proceeding of 4th International Symposium on Biomedical Engineering (ISBE2019), Nov. 2019.
• Taiguang Yuan, Ze Jin, Tokuda, Y., Naoi, Y., Tomiyama, N., Kenji Suzuki. Development of deep-learning segmentation for breast cancer in mr images based on neural network convolution, 2019 8th International Conference on Computing and Pattern Recognition, Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition, pp. 187-191, Oct. 2019.  公式リンク  
  

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