36th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2022)において藤林 巧さん、松山桃子さん、石川智大さん、武笠杏樹さんが研究成果発表を行いました。（6月7-10日，虎ノ門ヒルズ，東京）。
[1] M. Matsuyama, N. Koizumi, Y. Nishiyama, Y. Watanabe, J. Zhou, S. Yagasaki, T. Fujibayashi, M. Yamada, T. Ishikawa, R. Tsumura, K. Yoshinaka, N. Matsumoto, H. Tsukihara, K. Numata, A Study on Construction of Organ Coverage Avoidance Method of Acoustic Shadows for Automatic Ultrasound Diagnosis, 36th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2022), CAR-PO-27, 2022.
[2] T. Fujibayashi, N. Koizumi, Y. Nishiyama, Y. Watanabe, J. Zhou, M. Matsuyama, M. Yamada, R. Tsumura, K.Yoshinaka, N. Matsumoto, H. Tsukihara, K. Numata, A Study on Deep Learning for Automatic Diagnosis and Treatment Robots Automatic Diagnosis and Treatment Robot, 36th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2022), CAR-PO-22-00039, 2022.
[3] T. Ishikawa, N. Koizumi, Y. Nishiyama, Z. Ziayi, Y. Watanabe, T. Fujibayashi, M.Matsuyama, M. Yamada, R.Tsumura, K. Yoshinaka, H. Tsukihara, K. Numata, Construction of a 3D organ model using a robot, Visual SLAM, and deep learning, 36th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2022), CARS/MCA-LE36, 2022.
[4] A. Mukasa, N. Koizumi, Y. Nishiyama, Y. Onodera, M. Matsuyama, T. Fujibayashi, S. Shoji, An automatic tumor monitoring system for robot-assisted surgery using deep learning, 36th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2022), ISCAS-LE-35, 2022.
