• Multi-institutional phase II study on the safety and efficacy of dynamic tumor tracking-stereotactic body radiotherapy for lung tumors. Matsuo Y, Hiraoka M, Karasawa K, Kokubo M, Sakamoto T, Mukumoto N, Nakamura M, Morita S, Mizowaki T. Radiother. Oncol., 172, 18~22, 2022
  • Evaluation of correlation between intrafractional residual setup errors and accumulation of delivered dose distributions in single isocenter volumetric modulated arc therapy for multiple brain metastases. Tsuruta Y, Nakamura M, Nakata M, Hirashima H, Zhou D, Uto M, Takehana K, Fujimoto T, Mizowaki T. Phys. Med., 98, 45~52, 2022
  • Deep learning-based auto segmentation using generative adversarial network on magnetic resonance images obtained for head and neck cancer patients. Kawahara D, Tsuneda M, Ozawa S, Okamoto H, Nakamura M, Nishio T, Nagata Y. J. Appl. Clin. Med. Phys., 9, e13579, 2022
  • Stepwise deep neural network (stepwise-net) for head and neck auto-segmentation on CT images. Kawahara D, Tsuneda M, Ozawa S, Okamoto H, Nakamura M, Nishio T, Saito A, Nagata Y. Comput. Biol. Med., 143, 105295, 2022
  • Development of AI-driven prediction models to realize real-time tumor tracking during radiotherapy. Zhou D, Nakamura M, Mukumoto N, Tanabe H, Iizuka Y, Yoshimura M, Kokubo M, Matsuo Y, Mizowaki T. Radiat. Oncol., 17, 42, 2022
  • Dosiomic feature comparison between dose-calculation algorithms used for lung stereotactic body radiation therapy. Adachi T, Nakamura M, Kakino R, Hirashima H, Iramina H, Tsuruta Y, Ono T, Mukumoto N, Miyabe Y, Matsuo Y, Mizowaki T. Radiol. Phys. Technol., 15, 63~71, 2022
  • Development of a Deep Learning-based Patient-specific Target Contour Prediction Model for Markerless Tumor Positioning. Zhou D, Nakamura M, Mukumoto N, Yoshimura M, Mizowaki T. Med. Phys., 49, 1382~1390, 2022
  • Development of a plan complexity mitigation algorithm based on gamma passing rate predictions for volumetric-modulated arc therapy. Ono T, Nakamura M, Ono Y, Nakamura K, Mizowaki T. Med. Phys., 49, 1793~1802, 2022
  • Vulnerabilities of radiomic features to respiratory motion on four-dimensional computed tomography-based average intensity projection images: a phantom study. Adachi T, Nagasawa R, Nakamura M, Kakino R, Mizowaki T. J. Appl. Clin. Med. Phys., 23, e13498, 2022
  • Highly hypofractionated intensity-modulated radiation therapy for localized prostate cancer with a simultaneous integrated boost to intraprostatic lesions: A planning study. Ashida R, Nakamura K, Aizawa R, Iramina H, Takayama K, Nakamura M, Mizowaki T. Jpn. J. Radiol., 40(2), 210~218, 2022


  • Auto-Segmentation for Limited Field of View CBCT in Male Pelvic Region Using Deep Learning Method. Hirashima H, Nakamura M, Imanishi K, Nakao M, Mizowaki T. 64th AAPM annual meeting
  • Development of Markerless Intra-Fraction Motion Prediction in Image-Guided Radiotherapy Based On Deep Learning. Zhou D, Nakamura M, Mukumoto N, Matsuo Y, Mizowaki T. 64th AAPM annual meeting
  • Determination of Population-Based Anisotropic Margin for Uterus and Cervix During a Course of Magnetic Resonance-Guided Intensity-Modulated Radiation Therapy. Kishigami Y, Nakamura M, Nakao M, Okamoto H, Takahashi A, Igaki H. 64th AAPM annual meeting
  • Generation of Synthetic CBCT with Artifacts Caused by Peristaltic Movement From Planning CT. Onishi T, Nakamura M, Zhou D, Tsuruta Y, Sasaki M, Matsushita N, Ogawa A, Ashida R, Mizowaki T. 64th AAPM annual meeting
  • Restoration of Body Outside Field-Of-View On CT Images Using Cycle-Consistent Generative Adversarial Networks. Arimoto K, Nakamura M, Hirashima H, Nakao M, Mizowaki T. 64th AAPM annual meeting
  • Comparison of Accuracy and Stability of Target Position Prediction Between External- and InternalSurrogate-Based Correlation Model. Sakurai Y, Nakamura M, Iramina H, Iizuka Y, Mitsuyoshi T, Matsuo Y, Mizowaki T. 64th AAPM annual meeting





  • 第1回International Conference on Radiological Physics and Technology,Outstanding Presentation Award,周 徳軍