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2020 – today
- 2020
[i1]Yasuhiko Tachibana, Masataka Nishimori, Naoyuki Kitamura, Kensuke Umehara
, Junko Ota, Takayuki Obata, Tatsuya Higashi:
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. CoRR abs/2002.01891 (2020)
2010 – 2019
- 2018
- [j1]Kensuke Umehara, Junko Ota, Takayuki Ishida:
Application of Super-Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CT. J. Digit. Imaging 31(4): 441-450 (2018) - 2017
- [c3]Kensuke Umehara, Janne J. Näppi, Toru Hironaka, Daniele Regge, Takayuki Ishida, Hiroyuki Yoshida:
Deep ensemble learning of virtual endoluminal views for polyp detection in CT colonography. Medical Imaging: Computer-Aided Diagnosis 2017: 101340G - [c2]Junko Ota, Kensuke Umehara, Naoki Ishimaru, Shunsuke Ohno, Kentaro Okamoto, Takanori Suzuki, Naoki Shirai, Takayuki Ishida:
Evaluation of the sparse coding super-resolution method for improving image quality of up-sampled images in computed tomography. Medical Imaging: Image Processing 2017: 101331S - [c1]Kensuke Umehara, Junko Ota, Naoki Ishimaru, Shunsuke Ohno, Kentaro Okamoto, Takanori Suzuki, Naoki Shirai, Takayuki Ishida:
Super-resolution convolutional neural network for the improvement of the image quality of magnified images in chest radiographs. Medical Imaging: Image Processing 2017: 101331P
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