Junko Ota

According to our database, Junko Ota authored at least 5 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

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

2018

Application of Super-Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CT.

Kensuke Umehara, Junko Ota, Takayuki Ishida

J. Digit. Imaging, 2018

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

Proceedings of the Medical Imaging 2017: Image Processing, 2017

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

Proceedings of the Medical Imaging 2017: Image Processing, 2017

2016

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

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016