COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty. - Masahiro Oda 001; Tong Zheng 001; Yuichiro Hayashi; Yoshito Otake; Masahiro Hashimoto; Toshiaki Akashi; Shigeki Aoki; Kensaku Mori (CLIP/DCL/LL-COVID19/PPML@MICCAI, 2021)

Extraction of lung and lesion regions from COVID-19 CT volumes using 3D fully convolutional networks. - Yuichiro Hayashi; Masahiro Oda 001; Chen Shen 002; Masahiro Hashimoto; Yoshito Otake; Toshiaki Akashi; Kensaku Mori (Computer-Aided Diagnosis, 2021)

Lung infection and normal region segmentation from CT volumes of COVID-19 cases. - Masahiro Oda 001; Yuichiro Hayashi; Yoshito Otake; Masahiro Hashimoto; Toshiaki Akashi; Kensaku Mori (Computer-Aided Diagnosis, 2021)

Unsupervised segmentation of COVID-19 infected lung clinical CT volumes using image inpainting and representation learning. - Tong Zheng 001; Masahiro Oda 001; Chenglong Wang; Takayasu Moriya; Yuichiro Hayashi; Yoshito Otake; Masahiro Hashimoto; Toshiaki Akashi; Masaki Mori; Hirotsugu Takabatake; Hiroshi Natori; Kensaku Mori (Image Processing, 2021)

Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes. - Masahiro Oda 001; Tong Zheng 001; Yuichiro Hayashi; Yoshito Otake; Masahiro Hashimoto; Toshiaki Akashi; Shigeki Aoki; Kensaku Mori (Computer-Aided Diagnosis, 2022)

Enhancing Model Generalization for Substantia Nigra Segmentation Using a Test-time Normalization-Based Method. - Tao Hu 009; Hayato Itoh; Masahiro Oda 001; Yuichiro Hayashi; Zhongyang Lu; Shinji Saiki; Nobutaka Hattori; Koji Kamagata; Shigeki Aoki; Kanako K. Kumamaru; Toshiaki Akashi; Kensaku Mori (MICCAI (8), 2022)

Aorta-aware GAN for non-contrast to artery contrasted CT translation and its application to abdominal aortic aneurysm detection. - Tao Hu 009; Masahiro Oda 001; Yuichiro Hayashi; Zhongyang Lu; Kanako Kunishima Kumamaru; Toshiaki Akashi; Shigeki Aoki; Kensaku Mori (Int. J. Comput. Assist. Radiol. Surg., 2022)

Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-mixer. - Masahiro Oda 001; Tong Zheng 001; Yuichiro Hayashi; Yoshito Otake; Masahiro Hashimoto; Toshiaki Akashi; Shigeki Aoki; Kensaku Mori (Computer-Aided Diagnosis, 2023)

Improved method for COVID-19 classification of complex-architecture CNN from chest CT volumes using orthogonal ensemble networks. - Ryo Toda; Masahiro Oda 001; Yuichiro Hayashi; Yoshito Otake; Masahiro Hashimoto; Toshiaki Akashi; Shigeki Aoki; Kensaku Mori (Computer-Aided Diagnosis, 2023)

Identifying Suspicious Regions of Covid-19 by Abnormality-Sensitive Activation Mapping. - Ryo Toda; Hayato Itoh; Masahiro Oda 001; Yuichiro Hayashi; Yoshito Otake; Masahiro Hashimoto; Toshiaki Akashi; Shigeki Aoki; Kensaku Mori (CoRR, 2023)

Attention induction for a CT volume classification of COVID-19. - Yusuke Takateyama; Takahito Haruishi; Masahiro Hashimoto; Yoshito Otake; Toshiaki Akashi; Akinobu Shimizu (Int. J. Comput. Assist. Radiol. Surg., 2023)

Retrieval-augmented generation elevates local LLM quality in radiology contrast media consultation. - Akihiko Wada; Yuya Tanaka; Mitsuo Nishizawa; Akira Yamamoto; Toshiaki Akashi; Akifumi Hagiwara; Yayoi Hayakawa; Junko Kikuta; Keigo Shimoji; Katsuhiro Sano; Koji Kamagata; Atsushi Nakanishi; et al. (npj Digit. Medicine, 2025)