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Jules H Sumkin

Showing results (11-20 of 66) with videos related to

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Medical Physics|April 28, 2011
A GMM-based breast cancer risk stratification using a resonance-frequency electrical impedance spectroscopyDror Lederman, Bin Zheng, Xingwei Wang, et al.
Journal of the National Cancer Institute|May 6, 2004
Re: Computer-aided detection of breast cancer: has promise outstripped performance?David Gur, Jules H Sumkin, Lara A Hardesty, et al.
BMC Cancer|April 8, 2021
Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypesDooman Arefan, Ryan M Hausler, Jules H Sumkin, et al.
Seminars in Ultrasound, CT, and MR|February 19, 2024
State of Academic Radiology: Current Challenges, Future AdaptationsM Elizabeth Oates, Manuel L Brown, David L Coy, et al.
Radiology|May 22, 2003
Mammography with computer-aided detection: reproducibility assessment initial experienceBin Zheng, Lara A Hardesty, William R Poller, et al.
Academic Radiology|April 4, 2015
Impact of the new density reporting laws: radiologist perceptions and actual behaviorDavid Gur, Amy H Klym, Jill L King, et al.
Radiology|January 23, 2024
Assessment of Background Parenchymal Enhancement at Dynamic Contrast-enhanced MRI in Predicting Breast Cancer Recurrence RiskDooman Arefan, Margarita L Zuley, Wendie A Berg, et al.
European Journal of Radiology|May 15, 2012
Bilateral mammographic density asymmetry and breast cancer risk: a preliminary assessmentBin Zheng, Jules H Sumkin, Margarita L Zuley, et al.
Pattern Recognition|April 24, 2023
Deep learning of longitudinal mammogram examinations for breast cancer risk predictionSaba Dadsetan, Dooman Arefan, Wendie A Berg, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 21, 2023
Radiomics-informed Deep Curriculum Learning for Breast Cancer DiagnosisGiacomo Nebbia, Saba Dadsetan, Dooman Arefan, et al.
Pageof 7

Showing results (11-20 of 66) with videos related to

Sort By:
Pageof 7
Medical Physics|April 28, 2011
A GMM-based breast cancer risk stratification using a resonance-frequency electrical impedance spectroscopyDror Lederman, Bin Zheng, Xingwei Wang, et al.
Journal of the National Cancer Institute|May 6, 2004
Re: Computer-aided detection of breast cancer: has promise outstripped performance?David Gur, Jules H Sumkin, Lara A Hardesty, et al.
BMC Cancer|April 8, 2021
Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypesDooman Arefan, Ryan M Hausler, Jules H Sumkin, et al.
Seminars in Ultrasound, CT, and MR|February 19, 2024
State of Academic Radiology: Current Challenges, Future AdaptationsM Elizabeth Oates, Manuel L Brown, David L Coy, et al.
Radiology|May 22, 2003
Mammography with computer-aided detection: reproducibility assessment initial experienceBin Zheng, Lara A Hardesty, William R Poller, et al.
Academic Radiology|April 4, 2015
Impact of the new density reporting laws: radiologist perceptions and actual behaviorDavid Gur, Amy H Klym, Jill L King, et al.
Radiology|January 23, 2024
Assessment of Background Parenchymal Enhancement at Dynamic Contrast-enhanced MRI in Predicting Breast Cancer Recurrence RiskDooman Arefan, Margarita L Zuley, Wendie A Berg, et al.
European Journal of Radiology|May 15, 2012
Bilateral mammographic density asymmetry and breast cancer risk: a preliminary assessmentBin Zheng, Jules H Sumkin, Margarita L Zuley, et al.
Pattern Recognition|April 24, 2023
Deep learning of longitudinal mammogram examinations for breast cancer risk predictionSaba Dadsetan, Dooman Arefan, Wendie A Berg, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 21, 2023
Radiomics-informed Deep Curriculum Learning for Breast Cancer DiagnosisGiacomo Nebbia, Saba Dadsetan, Dooman Arefan, et al.
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