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Jules H Sumkin

Showing results (21-30 of 66) with videos related to

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Medical Physics|November 1, 2019
Deep learning modeling using normal mammograms for predicting breast cancer riskDooman Arefan, Aly A Mohamed, Wendie A Berg, et al.
BMC Women'S Health|June 28, 2006
Prospective screening study of 0.5 Tesla dedicated magnetic resonance imaging for the detection of breast cancer in young, high-risk womenWendy S Rubinstein, Jean J Latimer, Jules H Sumkin, et al.
Academic Radiology|March 20, 2003
Performance change of mammographic CAD schemes optimized with most-recent and prior image databasesBin Zheng, Walter F Good, Derek R Armfield, et al.
AJR. American Journal of Roentgenology|July 24, 2010
Digital breast tomosynthesis in the diagnostic environment: A subjective side-by-side reviewChristiane M Hakim, Denise M Chough, Marie A Ganott, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|October 13, 2018
Deep Learning to Distinguish Recalled but Benign Mammography Images in Breast Cancer ScreeningSarah S Aboutalib, Aly A Mohamed, Wendie A Berg, et al.
AJR. American Journal of Roentgenology|April 28, 2005
Is maximum positive predictive value a good indicator of an optimal screening mammography practice?Lara A Hardesty, Amy H Klym, Betty E Shindel, et al.
AJR. American Journal of Roentgenology|January 24, 2012
Risk of malignancy when microscopic radial scars and microscopic papillomas are found at percutaneous biopsyKaren A Lee, Margarita L Zuley, Mamatha Chivukula, et al.
Medical Physics|February 21, 2006
A method to improve visual similarity of breast masses for an interactive computer-aided diagnosis environmentBin Zheng, Amy Lu, Lara A Hardesty, et al.
Academic Radiology|December 4, 2010
A preliminary evaluation of multi-probe resonance-frequency electrical impedance based measurements of the breastBin Zheng, Dror Lederman, Jules H Sumkin, et al.
Academic Radiology|December 3, 2005
Stereo CT image compositing methods for lung nodule detection and characterizationXiao Hui Wang, Walter F Good, Carl R Fuhrman, et al.
Pageof 7

Showing results (21-30 of 66) with videos related to

Sort By:
Pageof 7
Medical Physics|November 1, 2019
Deep learning modeling using normal mammograms for predicting breast cancer riskDooman Arefan, Aly A Mohamed, Wendie A Berg, et al.
BMC Women'S Health|June 28, 2006
Prospective screening study of 0.5 Tesla dedicated magnetic resonance imaging for the detection of breast cancer in young, high-risk womenWendy S Rubinstein, Jean J Latimer, Jules H Sumkin, et al.
Academic Radiology|March 20, 2003
Performance change of mammographic CAD schemes optimized with most-recent and prior image databasesBin Zheng, Walter F Good, Derek R Armfield, et al.
AJR. American Journal of Roentgenology|July 24, 2010
Digital breast tomosynthesis in the diagnostic environment: A subjective side-by-side reviewChristiane M Hakim, Denise M Chough, Marie A Ganott, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|October 13, 2018
Deep Learning to Distinguish Recalled but Benign Mammography Images in Breast Cancer ScreeningSarah S Aboutalib, Aly A Mohamed, Wendie A Berg, et al.
AJR. American Journal of Roentgenology|April 28, 2005
Is maximum positive predictive value a good indicator of an optimal screening mammography practice?Lara A Hardesty, Amy H Klym, Betty E Shindel, et al.
AJR. American Journal of Roentgenology|January 24, 2012
Risk of malignancy when microscopic radial scars and microscopic papillomas are found at percutaneous biopsyKaren A Lee, Margarita L Zuley, Mamatha Chivukula, et al.
Medical Physics|February 21, 2006
A method to improve visual similarity of breast masses for an interactive computer-aided diagnosis environmentBin Zheng, Amy Lu, Lara A Hardesty, et al.
Academic Radiology|December 4, 2010
A preliminary evaluation of multi-probe resonance-frequency electrical impedance based measurements of the breastBin Zheng, Dror Lederman, Jules H Sumkin, et al.
Academic Radiology|December 3, 2005
Stereo CT image compositing methods for lung nodule detection and characterizationXiao Hui Wang, Walter F Good, Carl R Fuhrman, et al.
Pageof 7