1. Target boundary tracking on BEV by patient-specific deep learning Terunuma, Toshiyuki, Sakae, Takeji 医学物理（第119回日本医学物理学会学術大会報文集) 40 (Sup.1) 188 - 188 (2020)
2. Monitoring patient movement with boron neutron capture therapy and motion capture technology Kumada, Hiroaki, 高田健太, 照沼利之, 粟飯原輝人, 松村明, 櫻井英幸, 榮武二 Applied Radiation and Isotopes 163 (109208) 1 - 6 (2020)
3. Teiji Nishio, Hidenobu Tachibana, Yuki Kase, Kenji Hotta, Mitsuhiro Nakamura, Masaya Tamura, Toshiyuki Terunuma, Toshiyuki Toshito, Haruo Yamashita, Satoshi Ishikura, Hiroshi Fuji, Tetsuo Akimoto, Yasumasa Nishimura 140 98 - 104 (2019)
4. Measurement of MHz ionoacoustic signal generated by proton beam irradiation Terunuma, toshiyuki, Miyauchi, Yosuke, 榮, 武二 第118回日本医学物理学会学術大会プログラム集 9 - 9 (2019)
5. Projected-CTV tracking in MV image:A phantom study Otani, Atsushi, Terunuma, Toshiyuki, 榮, 武二 第118回日本医学物理学会学術大会プログラム集 6 - 6 (2019)
6. Real-time tumor-contouring by patient-specific deep learning: Evaluation using a respiratory moving phantom T, Abe, Toshiyuki, Terunuma, K, Tomoda, Sakae, Takeji 第117回日本医学物理学会学術大会プログラム集 32 - 32 (2019)
7. Image quality improvement of DRR by super-resolution processing T, Abe, Toshiyuki, Terunuma, Sakae, Takeji 第117回日本医学物理学会学術大会プログラム集 32 - 32 (2019)
8. Response to "Comments on 'Novel real-time tumor-contouring method using deep learning to prevent mistracking in X-ray fluoroscopy"' Terunuma, Toshiyuki, Sakae, Takeji Radiological physics and technology 11 (3) 362 - 363 (2018)
9. Toshiyuki Terunuma, Aoi Tokui, Takeji Sakae 11 (1) 43 - 53 (2018)
10. Comparison of rigid and deformable image registration accuracy of the liver during long-term transition after proton beam therapy. Fukumitsu, Nobuyoshi, Ishikawa, Hitoshi, Terunuma, Toshiyuki, Okumura, Toshiyuki, Numajiri, Haruko, Murofushi, Keiko, Onishi, Kayoko, Mizumoto, Masashi, Aihara, Teruhito, Tsuboi, Koji, Sakurai, Hideyuki Imaging Med 9 (6) 149 - 154 (2017)

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