Correspondence among Subjective and Objective Similarities and Pathologic Types of Breast Masses on Digital Mammography. - Chisako Muramatsu; Kohei Nishimura; Mikinao Oiwa; Misaki Shiraiwa; Tokiko Endo; Kunio Doi; Hiroshi Fujita 001 (Digital Mammography / IWDM, 2012)

Psychophysical similarity measure based on multi-dimensional scaling for retrieval of similar images of breast masses on mammograms. - Kohei Nishimura; Chisako Muramatsu; Mikinao Oiwa; Misaki Shiraiwa; Tokiko Endo; Kunio Doi; Hiroshi Fujita 001 (Computer-Aided Diagnosis, 2013)

Representation of Lesion Similarity by Use of Multidimensional Scaling for Breast Masses on Mammograms. - Chisako Muramatsu; Kohei Nishimura; Tokiko Endo; Mikinao Oiwa; Misaki Shiraiwa; Kunio Doi; Hiroshi Fujita 001 (J. Digit. Imaging, 2013)

Development of New Imaging System Based on Grating Interferometry : Preclinical Study in Breast Imaging. - Tokiko Endo; Shu Ichihara; Suzuko Moritani; Mikinao Oiwa; Misaki Shiraiwa; Takako Morita; Yasuyuki Sato; Junko Kiyohara; Sumiya Nagatsuka (Digital Mammography / IWDM, 2014)

Clinical Evaluation of Dual Mode Tomosynthesis. - Tokiko Endo; Mikinao Ooiwa; Takako Morita; Namiko Suda; Kazuaki Yoshikawa; Misaki Shiraiwa; Yukie Hayashi; Takao Horiba; Yasuyuki Sato; Syu Ichihara; Tomonari Sendai; Tetsuro Kusunoki; et al. (Digital Mammography / IWDM, 2014)

Retrieval of reference images of breast masses on mammograms by similarity space modeling. - Chisako Muramatsu; Shunichi Higuchi; Takako Morita; Mikinao Oiwa; Tomonori Kawasaki; Hiroshi Fujita 001 (IWBI, 2018)

Similarity estimation for reference image retrieval in mammograms using convolutional neural network. - Chisako Muramatsu; Shunichi Higuchi; Takako Morita; Mikinao Oiwa; Hiroshi Fujita 001 (Computer-Aided Diagnosis, 2018)

Improving breast mass classification by shared data with domain transformation using a generative adversarial network. - Chisako Muramatsu; Mizuho Nishio; Takuma Goto; Mikinao Oiwa; Takako Morita; Masahiro Yakami; Takeshi Kubo; Kaori Togashi; Hiroshi Fujita 001 (Comput. Biol. Medicine, 2020)

Intrinsic subtype classification of breast lesions on mammograms by contrastive learning. - Chisako Muramatsu; Mikinao Oiwa; Tomonori Kawasaki; Hiroshi Fujita 001 (Computer-Aided Diagnosis, 2022)