CONFERENCE PROCEEDINGS
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Junko Ota
at Osaka Univ
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Author
Publications (3)
Proceedings Article | 24 February 2017 Paper
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 Volume 10133, 101331S (2017) https://doi.org/10.1117/12.2253582
KEYWORDS: Signal to noise ratio, Super resolution, Chest, Image compression, X-ray computed tomography, Image restoration, Image analysis, Medical imaging, Image quality, Computed tomography, Chest imaging
Proceedings Article | 24 February 2017 Paper
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 Volume 10133, 101331P (2017) https://doi.org/10.1117/12.2249969
KEYWORDS: Super resolution, Convolutional neural networks, Image restoration, Image resolution, Medical imaging, Image quality, Neural networks, Image enhancement, Artificial intelligence, Spatial resolution, Chest imaging, Image interpolation, Resolution enhancement technologies
Proceedings Article | 24 March 2016 Paper
Performance evaluation of multi-material electronic cleansing for ultra-low-dose dual-energy CT colonography
Rie Tachibana, Naja Kohlhase, Janne Näppi, Toru Hironaka, Junko Ota, Takayuki Ishida, Daniele Regge, Hiroyuki Yoshida
Proceedings Volume 9785, 978526 (2016) https://doi.org/10.1117/12.2217140
KEYWORDS: Cancer, Medical research, Iodine, Colorectal cancer, Machine learning, Computed tomography
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