Performance evaluation of multi-material electronic cleansing for ultra-low-dose dual-energy CT colonography. - Rie Tachibana; Naja Kohlhase; Janne J. Näppi; Toru Hironaka; Junko Ota; Takayuki Ishida; Daniele Regge; Hiroyuki Yoshida (Computer-Aided Diagnosis, 2016)

Evaluation of the sparse coding super-resolution method for improving image quality of up-sampled images in computed tomography. - Junko Ota; Kensuke Umehara; Naoki Ishimaru; Shunsuke Ohno; Kentaro Okamoto; Takanori Suzuki; Naoki Shirai; Takayuki Ishida (Image Processing, 2017)

Super-resolution convolutional neural network for the improvement of the image quality of magnified images in chest radiographs. - Kensuke Umehara; Junko Ota; Naoki Ishimaru; Shunsuke Ohno; Kentaro Okamoto; Takanori Suzuki; Naoki Shirai; Takayuki Ishida (Image Processing, 2017)

Application of Super-Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CT. - Kensuke Umehara; Junko Ota; Takayuki Ishida (J. Digit. Imaging, 2018)

A neural network model that learns differences in diagnosis strategies among radiologists has an improved area under the curve for aneurysm status classification in magnetic resonance angiography image series. - Yasuhiko Tachibana; Masataka Nishimori; Naoyuki Kitamura; Kensuke Umehara; Junko Ota; Takayuki Obata; Tatsuya Higashi (CoRR, 2020)

Comparison of Resting-State Functional Connectivity Between Generalized Anxiety Disorder and Social Anxiety Disorder: Differences in the Nucleus Accumbens and Thalamus Network. - Tomomi Nagano; Kohei Kurita; Tokiko Yoshida; Koji Matsumoto; Junko Ota; Ritu Bhusal Chhatkuli; Eiji Shimizu; Yoshiyuki Hirano (Brain Connect., 2024)