Improved automated optic cup segmentation based on detection of blood vessel bends in retinal fundus images. - Yuji Hatanaka; Yuuki Nagahata; Chisako Muramatsu; Susumu Okumura; Kazunori Ogohara; Akira Sawada; Kyoko Ishida; Tetsuya Yamamoto; Hiroshi Fujita 001 (EMBC, 2014)

Preliminary study on differentiation between glaucomatous and non-glaucomatous eyes on stereo fundus images using cup gradient models. - Chisako Muramatsu; Yuji Hatanaka; Kyoko Ishida; Akira Sawada; Tetsuya Yamamoto; Hiroshi Fujita 001 (Computer-Aided Diagnosis, 2014)

Automated detection of retinal nerve fiber layer defects on fundus images: false positive reduction based on vessel likelihood. - Chisako Muramatsu; Kyoko Ishida; Akira Sawada; Yuji Hatanaka; Tetsuya Yamamoto; Hiroshi Fujita 001 (Computer-Aided Diagnosis, 2016)

Automated detection of nerve fiber layer defects on retinal fundus images using fully convolutional network for early diagnosis of glaucoma. - Ryusuke Watanabe; Chisako Muramatsu; Kyoko Ishida; Akira Sawada; Yuji Hatanaka; Tetsuya Yamamoto; Hiroshi Fujita 001 (Computer-Aided Diagnosis, 2017)