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M Nishikawa

Showing results (61-70 of 1,052) with videos related to

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Turkish Journal of Haematology : Official Journal of Turkish Society of Haematology|June 7, 2016
Leukemic Cell Differentiation and the Signal Transduction SystemS B Omay, M Nishikawa
Breast Cancer Research : BCR|February 2, 2024
Improving lesion detection in mammograms by leveraging a Cycle-GAN-based lesion removerJuhun Lee, Robert M Nishikawa
Medical Physics|May 7, 2010
Task-based assessment of breast tomosynthesis: effect of acquisition parameters and quantum noiseI Reiser, R M Nishikawa
Journal of Breast Imaging|November 29, 2024
Stop Training Artificial Intelligence Algorithms Now. Start Prospective Trials!Robert M Nishikawa, Alisa Sumkin
Journal of Imaging Informatics in Medicine|December 16, 2025
Mammo-GAN-Assisted Deep Network Training Scheme for Lesion DetectionJuhun Lee, Robert M Nishikawa
Medical Physics|January 25, 2018
Automated mammographic breast density estimation using a fully convolutional networkJuhun Lee, Robert M Nishikawa
Academic Radiology|August 4, 2014
CADe for early detection of breast cancer-current status and why we need to continue to explore new approachesRobert M Nishikawa, David Gur
Journal of Medical Imaging (Bellingham, Wash.)|January 1, 2020
Detecting mammographically occult cancer in women with dense breasts using deep convolutional neural network and Radon Cumulative Distribution TransformJuhun Lee, Robert M Nishikawa
The Journal of Biological Chemistry|July 5, 1988
Regulation of embryonic smooth muscle myosin by protein kinase CP de Lanerolle, M Nishikawa
Helvetica Chirurgica Acta|March 1, 1976
[Autologous joint transplantation with microsurgical angioplasty]A Schreiber, N Walker, M Nishikawa
Pageof 106

Showing results (61-70 of 1,052) with videos related to

Sort By:
Pageof 106
Turkish Journal of Haematology : Official Journal of Turkish Society of Haematology|June 7, 2016
Leukemic Cell Differentiation and the Signal Transduction SystemS B Omay, M Nishikawa
Breast Cancer Research : BCR|February 2, 2024
Improving lesion detection in mammograms by leveraging a Cycle-GAN-based lesion removerJuhun Lee, Robert M Nishikawa
Medical Physics|May 7, 2010
Task-based assessment of breast tomosynthesis: effect of acquisition parameters and quantum noiseI Reiser, R M Nishikawa
Journal of Breast Imaging|November 29, 2024
Stop Training Artificial Intelligence Algorithms Now. Start Prospective Trials!Robert M Nishikawa, Alisa Sumkin
Journal of Imaging Informatics in Medicine|December 16, 2025
Mammo-GAN-Assisted Deep Network Training Scheme for Lesion DetectionJuhun Lee, Robert M Nishikawa
Medical Physics|January 25, 2018
Automated mammographic breast density estimation using a fully convolutional networkJuhun Lee, Robert M Nishikawa
Academic Radiology|August 4, 2014
CADe for early detection of breast cancer-current status and why we need to continue to explore new approachesRobert M Nishikawa, David Gur
Journal of Medical Imaging (Bellingham, Wash.)|January 1, 2020
Detecting mammographically occult cancer in women with dense breasts using deep convolutional neural network and Radon Cumulative Distribution TransformJuhun Lee, Robert M Nishikawa
The Journal of Biological Chemistry|July 5, 1988
Regulation of embryonic smooth muscle myosin by protein kinase CP de Lanerolle, M Nishikawa
Helvetica Chirurgica Acta|March 1, 1976
[Autologous joint transplantation with microsurgical angioplasty]A Schreiber, N Walker, M Nishikawa
Pageof 106