Development and Evaluation of a Low-Cost and High-Capacity DICOM Image Data Storage System for Research. - Masahiro Yakami; Koichi Ishizu; Takeshi Kubo; Tomohisa Okada; Kaori Togashi (J. Digit. Imaging, 2011)

Using a High-Speed Movie Camera to Evaluate Slice Dropping in Clinical Image Interpretation with Stack Mode Viewers. - Masahiro Yakami; Akira Yamamoto; Morio Yanagisawa; Hiroyuki Sekiguchi; Takeshi Kubo; Kaori Togashi (J. Digit. Imaging, 2013)

Multi-shape graph cuts with neighbor prior constraints and its application to lung segmentation from a chest CT volume. - Keita Nakagomi; Akinobu Shimizu; Hidefumi Kobatake; Masahiro Yakami; Koji Fujimoto; Kaori Togashi (Medical Image Anal., 2013)

Reducing the artifacts in the identification of outer retinal boundary in the SD-OCT image with inherit retinal dystrophies. - Min Zhang; Hiroyuki Sekiguchi; Akihito Uji; Masahiro Yakami; Kaori Togashi (EMBC, 2015)

A study of computer-aided diagnosis for pulmonary nodule: comparison between classification accuracies using calculated image features and imaging findings annotated by radiologists. - Masami Kawagishi; Bin Chen; Daisuke Furukawa; Hiroyuki Sekiguchi; Koji Sakai; Takeshi Kubo; Masahiro Yakami; Koji Fujimoto; Ryo Sakamoto; Yutaka Emoto; Gakuto Aoyama; Yoshio Iizuka; et al. (Int. J. Comput. Assist. Radiol. Surg., 2017)

Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization. - Mizuho Nishio; Mitsuo Nishizawa; Osamu Sugiyama; Ryosuke Kojima; Masahiro Yakami; Tomohiro Kuroda; Kaori Togashi (CoRR, 2017)

A case study regarding clinical performance evaluation method of medical device software for approval. - Koji Shimizu; Gakuto Aoyama; Mizuho Nishio; Masahiro Yakami; Takeshi Kubo; Yutaka Emoto; Tatsuya Ito; Tomohiro Kuroda; Hiroyoshi Isoda (Image Perception, Observer Performance, and Technology Assessment, 2019)

Automatic segmentation of the uterus on MRI using a convolutional neural network. - Yasuhisa Kurata; Mizuho Nishio; Aki Kido; Koji Fujimoto; Masahiro Yakami; Hiroyoshi Isoda; Kaori Togashi (Comput. Biol. Medicine, 2019)

Improving breast mass classification by shared data with domain transformation using a generative adversarial network. - Chisako Muramatsu; Mizuho Nishio; Takuma Goto; Mikinao Oiwa; Takako Morita; Masahiro Yakami; Takeshi Kubo; Kaori Togashi; Hiroshi Fujita 001 (Comput. Biol. Medicine, 2020)

Bone segmentation on whole-body CT using convolutional neural network with novel data augmentation techniques. - Shunjiro Noguchi; Mizuho Nishio; Masahiro Yakami; Keita Nakagomi; Kaori Togashi (Comput. Biol. Medicine, 2020)

Adaptive Voxel Matching for Temporal CT Subtraction. - Toru Tanaka; Ryo Ishikawa; Keita Nakagomi; Kazuhiro Miyasa; Kiyohide Satoh; Masahiro Yakami; Thai Akasaka; Koji Onoue; Takeshi Kubo; Mizuho Nishio; Yutaka Emoto; Kaori Togashi (J. Digit. Imaging, 2020)

Investigation of Radiologist Diagnostic Difficulty Prediction Without CT Images. - Kazumasa Kishimoto; Masahiro Yakami; Tomohiro Kuroda (MIE, 2024)