39th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2025,6月17-20日,ベルリン)において高橋 昇汰さん、梅津菜央さん、笠置 陸さん、藤井 樹さん、旭 和哉さん、遠藤 暁友さんが研究成果発表を行いました。
[1] S. Takahashi, N. Koizumi, Y. Nishiyama, K. Okuzaki, K. Yoshinaka, R. Tsumura: Development of an efficient organ search method for ultrasound diagnosis robots, 39th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2025), International Journal of Computer Assisted Radiology and Surgery (IJCARS) , Vol.20, Suppl.1, pp.S26-S27, 2025.
[2] I. Fujii, N. Koizumi, N. Matsumoto, Y. Nishiyama, R. Kasagi, P. Chen, M. Ogawa: Binary Classification of Liver Sides Roughness in Ultrasound Images Using Transformer and CNN Models with StyleGAN3 Data Augmentation, 39th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2025), International Journal of Computer Assisted Radiology and Surgery (IJCARS) , Vol.20, Suppl.1, pp.S44-S45, 2025.
[3] K. Asahi, N. Koizumi, N. Matsumoto, I. Fuji, M. Ogawa: Classification of Irregularities in Hepatic Venous Vessel Walls Using Ultrasound Images, 39th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2025), International Journal of Computer Assisted Radiology and Surgery (IJCARS) , Vol.20, Suppl.1, pp.S45-S46, 2025.
[4] N. Umetsu, H. Noro, P. Chen, Y. Nishiyama, R. Kasagi, H. Tsukihara, N. Koizumi: Inferior Vena Cava Diameter Measurement System Using Ultrasound and Deep Learning, 39th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2025), International Journal of Computer Assisted Radiology and Surgery (IJCARS) , Vol.20, Suppl.1, pp.S92-S93, 2025.
[5] A. Endo, N. Koizumi, Y. Nisiyama, P. Chen, G. Karakida, M. Annju, S. Shoji: Automated MRI-TRUS fusion imaging using the prostate edge, 39th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2025), International Journal of Computer Assisted Radiology and Surgery (IJCARS) , Vol.20, Suppl.1, pp.S83-S87, 2025.
[6] R. Kasagi, N. Koizumi, P. Chen, N. Umetsu, K. Numata: Deep learning-based image registration method for RFA treatment efficacy evaluation without magnetic sensors, 39th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2025), International Journal of Computer Assisted Radiology and Surgery (IJCARS) , Vol.20, Suppl.1, pp.S33-S34, 2025.