Robert M. Nishikawa
Affiliations: | Medical Physics | University of Chicago, Chicago, IL |
Area:
Radiology, Radiation PhysicsGoogle:
"Robert Nishikawa"Mean distance: (not calculated yet)
Children
Sign in to add traineeYulei Jiang | grad student | 1997 | Chicago (MathTree) |
Darrin C. Edwards | grad student | 2003 | Chicago |
Laura M. Yarusso | grad student | 2008 | Chicago |
Beverly A. Lau | grad student | 2012 | Chicago |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Wu CC, D'Ardenne NM, Nishikawa RM, et al. (2020) Gist processing in digital breast tomosynthesis. Journal of Medical Imaging (Bellingham, Wash.). 7: 022403 |
Lee J, Nishikawa RM. (2019) Detecting mammographically occult cancer in women with dense breasts using deep convolutional neural network and Radon Cumulative Distribution Transform. Journal of Medical Imaging (Bellingham, Wash.). 6: 044502 |
Zuley ML, Nishikawa RM, Lee CS, et al. (2018) Linkage of the ACR National Mammography Database to the Network of State Cancer Registries: Proof of Concept Evaluation by the ACR National Mammography Database Committee. Journal of the American College of Radiology : Jacr |
Marcomini KD, Fleury EFC, Oliveira VM, et al. (2018) Evaluation of a Computer-Aided Diagnosis System in the Classification of Lesions in Breast Strain Elastography Imaging. Bioengineering (Basel, Switzerland). 5 |
Lee J, Nishikawa RM, Reiser I, et al. (2018) Relationship between computer segmentation performance and computer classification performance in breast CT: A simulation study using RGI segmentation and LDA classification. Medical Physics |
Lee J, Nishikawa RM, Reiser I, et al. (2018) Neutrosophic segmentation of breast lesions for dedicated breast computed tomography. Journal of Medical Imaging (Bellingham, Wash.). 5: 014505 |
Sainz de Cea MV, Nishikawa RM, Yang Y. (2018) Locally adaptive decision in detection of clustered microcalcifications in mammograms. Physics in Medicine and Biology |
Lee J, Nishikawa RM. (2018) Automated mammographic breast density estimation using a fully convolutional network. Medical Physics |
Lee J, Nishikawa RM, Reiser I, et al. (2017) Lack of agreement between radiologists: implications for image-based model observers. Journal of Medical Imaging (Bellingham, Wash.). 4: 025502 |
Wang J, Nishikawa RM, Yang Y. (2017) Quantitative comparison of clustered microcalcifications in for-presentation and for-processing mammograms in full-field digital mammography. Medical Physics |