Chisako Muramatsu, Ph.D.
Affiliations: | 2008 | University of Chicago, Chicago, IL |
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Muramatsu C, Nishio M, Goto T, et al. (2020) Improving breast mass classification by shared data with domain transformation using a generative adversarial network. Computers in Biology and Medicine. 119: 103698 |
Muramatsu C. (2018) Overview on subjective similarity of images for content-based medical image retrieval. Radiological Physics and Technology |
Hatanaka Y, Tajima M, Kawasaki R, et al. (2017) Retinal biometrics based on Iterative Closest Point algorithm. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2017: 373-376 |
Sayed Aluwee SA, Zhou X, Kato H, et al. (2017) Evaluation of pre-surgical models for uterine surgery by use of three-dimensional printing and mold casting. Radiological Physics and Technology |
Hiramatsu Y, Muramatsu C, Kobayashi H, et al. (2017) Automated detection of masses on whole breast volume ultrasound scanner: false positive reduction using deep convolutional neural network Proceedings of Spie. 10134 |
Miki Y, Muramatsu C, Hayashi T, et al. (2017) Tooth labeling in cone-beam CT using deep convolutional neural network for forensic identification Proceedings of Spie. 10134 |
Fukui T, Kita K, Kamemoto H, et al. (2017) Evaluation of age-related changes with cross-sectional CT imaging of teeth Proceedings of Spie. 10134 |
Kamiya N, Ieda K, Zhou X, et al. (2017) Automated analysis of whole skeletal muscle for muscular atrophy detection of ALS in whole-body CT images: preliminary study Proceedings of Spie. 10134: 1013442 |
Miki Y, Muramatsu C, Hayashi T, et al. (2016) Classification of teeth in cone-beam CT using deep convolutional neural network. Computers in Biology and Medicine. 80: 24-29 |
Muramatsu C, Hara T, Endo T, et al. (2016) Breast mass classification on mammograms using radial local ternary patterns. Computers in Biology and Medicine. 72: 43-53 |