Daisuke Yamada, Fumitsugu Kojima, Yujiro Otsuka, Kouhei Kawakami, Naoki Koishi, Ken Oba, Toru Bando, Masaki Matsusako, Yasuyuki Kurihara, Multimodal modeling with low-dose CT and clinical information for diagnostic artificial intelligence on mediastinal tumors: a preliminary study. BMJ Journals 2024 DOI: 10.1136/bmjresp-2023-002249

Kazuhiro Suzuki, Yujiro Otsuka, Kota Imashimizu, Kazunori Hata, Kenji Suzuki, AI-VDT can Help in Detecting Primary Lung Cancer. medRxiv 2022 DOI: 10.1101/2022.04.26.22274299

Masami Goto, Y Otsuka, A Hagiwara, S Fujita, M Hori, K Kamagata, S Aoki, O Abe, H Sakamoto, Y Sakano, S Kyogoku, H Daida, Accuracy of skull stripping in a single-contrast convolutional neural-network model on eight contrast magnetic resonance images. Journal of Medical Imaging and Radiation Sciences 2022 LINK

Munemura Suzuki, Aruta Niimura, Yusuke Nakamura, Yujiro Otsuka, A preliminary study of commercially available general-purpose chest radiography artificial intelligence-based software for detecting airspace opacity lesions in COVID-19 patients. medRxiv 2021 DOI: 10.1101/2021.12.22.21268176

Akifumi Hagiwara, Yujiro Otsuka, Christina Andica, Shimpei Kato, Kazumasa Yokoyama, Masaaki Hori, Shohei Fujita, Koji Kamagata, Nobutaka Hattori, Shigeki Aoki, Differentiation between multiple sclerosis and neuromyelitis optica spectrum disorders by multiparametric quantitative MRI using convolutional neural network. Journal of Clinical Neuroscience 2021 DOI: 10.1016/j.jocn.2021.02.018

Kazuhiro Suzuki, Yujiro Otsuka, Yukihiro Nomura, YukihiroNomura, Kanako K.Kumamaru, Ryohei Kuwatsuru, ShigekiAoki, Development and validation of a modified three-dimensional U-net deep-learning model for automated detection of lung nodules on chest CT images from the Lung Image Database Consortium and Japanese datasets. Academic Radiology 2020 DOI: 10.1016/j.acra.2020.07.030

Kumamaru KK, Fujimoto S, Otsuka Y, Kawasaki T, Kawaguchi Y, Kato E, Takamura K, Aoshima C, Kamo Y, Kogure Y, Inage H, Daida H, Aoki S, Diagnostic accuracy of 3D deep-learning-based fully automated estimation of patient-level minimum fractional flow reserve from coronary computed tomography angiography. Eur Heart J Cardiovasc Imaging 2020;21(4):437-445  DOI: 10.1093/ehjci/jez160

Shohei Fujita, Akifumi Hagiwara, Yujiro Otsuka, Hori Masaaki, Takei Naoyuki, Hwang Ken-Pin, Irie Ryusuke, Andica Christina, Kamagata Koji, Akashi Toshiaki, Kunishima Kumamaru Kanako, Suzuki Michimasa, Wada Akihiko, Abe Osamu, Aoki Shigeki, Deep Learning Approach for Generating MRA Images from 3D Quantitative Synthetic MRI without Additional Scans. Investigative Radiology 2020;55(4):249-256  DOI: 10.1097/RLI.0000000000000628

Ryusuke Irie, Yujiro Otsuka, Akifumi Hagiwara, Koji Kamagata, Kouhei Kamiya, Michimasa Suzuki, Akihiko Wada, Tomoko Maekawa, Shohei Fujita, Shimpei Kato, Madoka Nakajima, Masakazu Miyajima, Yumiko Motoi, Osamu Abe, Shigeki Aoki, A novel deep learning approach with 3D convolutional ladder network for differential diagnosis of idiopathic normal pressure hydrocephalus and Alzheimer’s disease. Magnetic Resonance in Medical Sciences 2020;Epub 2020 Jan 22.  DOI: 10.2463/mrms.mp.2019-0106

Alice Le Berre, Koji Kamagata Yujiro Otsuka Christina Andica, Taku Hatano, Laetitia Saccenti, Takashi Ogawa, Haruka Takeshige-Amano, Akihiko Wada, Michimasa Suzuki, Akifumi Hagiwara, Ryusuke Irie, Masaaki Hori, Genko Oyama, Yashushi Shimo, Atsushi Umemura, Nobutaka Hattori, Shigeki Aoki, Convolutional neural network-based segmentation can help in assessing the substantia nigra in neuromelanin MRI. Neuroradiology 2019;61(12):1387-1395. Epub 2019 Aug 10.  DOI: 10.1007/s00234-019-02279-w

A. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori and S. Aoki, Improving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image Translation. American Journal of Neuroradiology 2018  DOI: 10.3174/ajnr.A5927