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Deep Learning

Kazuhiro Suzuki, Yujiro Otsuka, Yukihiro Nomura, et al., 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   DOI: 10.1016/j.acra.2020.07.030

Kanako Kumamaru, Shinichiro Fujimoto, Yujiro Otsuka, et alDiagnostic 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 HagiwaraYujiro Otsukaet alDeep Learning Approach for Generating MRA Images from 3D Quantitative Synthetic MRI without Additional Scans. Investigative Radiology 2020;55(4):249-256  DOI10.1097/RLI.0000000000000628

Ryusuke IrieYujiro Otsuka, et alA 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/

Alice Le Berre, Koji Kamagata Yujiro Otsuka et alConvolutional 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

Akifumi Hagiwara, Yujiro Otsukaet alImproving 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

Real World Data Analysis

Izumi Kawachi, Shuichi Okamoto, Mariko Sakamoto, Hiroyuki Ohta, Yusuke Nakamura, et al., Recent transition of medical cost and relapse rate of multiple sclerosis in Japan based on analysis of a health insurance claims database. BMC Neurology (2019) 19:324  DOI: 10.1186/s12883-019-1534-9

Mitsuru Ohishi, Takuo Yoshida, Akinori Oh, Shinzo Hiroi, Tomomi Takeshima, Yujiro Otsukaet al. Analysis of antihypertensive treatment using real-world Japanese data-the retrospective study of antihypertensives for lowering blood pressure (REAL) study. Hypertens Res 2019 Jul 6;42(7):1057-1067. Epub 2019 Mar 6.  
DOI: 10.1038/s41440-019-0238-2


Mieko Ogino, Shuichi Okamoto, Hiroyuki Ohta, Mariko Sakamoto, Yusuke Nakamuraet al., Prevalence, treatments and medical cost of multiple sclerosis in Japan based on analysis of a health insurance claims database. Clinical and Experimental Neuroimmunology (2017)  DOI: 10.1111/cen3.12411.


Shinzo Hiroi Yukio Shimasaki Takashi Kikuchi Yujiro Otsukaet al.Analysis of second- and third-line antihypertensive treatments after initial therapy with an angiotensin II receptor blocker using real-world Japanese data. Hypertens Res 2016 Dec 28;39(12):907-912. Epub 2016 Jul 28.  DOI: 10.1038/hr.2016.96


Mieko Ogino, Izumi Kawachi, Kazuyoshi Otake, Hiroyuki Ohta, Yujiro Otsukaet al. Current treatment status and medical cost for multiple sclerosis based on analysis of a Japanese claims database. Clin Exp Neuroimmunol 2016 May 23;7(2):158-167. Epub 2016 Mar 23.  DOI: 10.1111/cen3.12299