Deep Learning to Distinguish Recalled but Benign Mammography Images in Breast Cancer Screening von Aboutalib, Sarah S, Mohamed, Aly A, Berg, Wendie A, Zuley, Margarita L, Sumkin, Jules H, Wu, Shandong

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Deep learning modeling using normal mammograms for predicting breast cancer risk von Arefan, Dooman, Mohamed, Aly A., Berg, Wendie A., Zuley, Margarita L., Sumkin, Jules H., Wu, Shandong

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Assessing radiologist performance using combined digital mammography and breast tomosynthesis compared with digital mammography alone: results of a multicenter, multireader trial von Rafferty, Elizabeth A, Park, Jeong Mi, Philpotts, Liane E, Poplack, Steven P, Sumkin, Jules H, Halpern, Elkan F, Niklason, Loren T

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Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypes von Arefan, Dooman, Hausler, Ryan M, Sumkin, Jules H, Sun, Min, Wu, Shandong

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Detection and Classification of Calcifications on Digital Breast Tomosynthesis and 2D Digital Mammography: A Comparison von SPANGLER, M. Lee, ZULEY, Margarita L, SUMKIN, Jules H, ABRAMS, Gordan, GANOTT, Marie A, HAKIM, Christiane, PERRIN, Ronald, CHOUGH, Denise M, SHAH, Ratan, GUR, David

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Deep learning of longitudinal mammogram examinations for breast cancer risk prediction von Dadsetan, Saba, Arefan, Dooman, Berg, Wendie A., Zuley, Margarita L., Sumkin, Jules H., Wu, Shandong

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Diagnostic Performance of MRI, Molecular Breast Imaging, and Contrast-enhanced Mammography in Women with Newly Diagnosed Breast Cancer von Sumkin, Jules H, Berg, Wendie A, Carter, Gloria J, Bandos, Andriy I, Chough, Denise M, Ganott, Marie A, Hakim, Christiane M, Kelly, Amy E, Zuley, Margarita L, Houshmand, Golbahar, Anello, Maria I, Gur, David

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Digital breast tomosynthesis versus supplemental diagnostic mammographic views for evaluation of noncalcified breast lesions von Zuley, Margarita L, Bandos, Andriy I, Ganott, Marie A, Sumkin, Jules H, Kelly, Amy E, Catullo, Victor J, Rathfon, Grace Y, Lu, Amy H, Gur, David

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Deep learning of mammogram images to reduce unnecessary breast biopsies: a preliminary study von Liu, Chang, Sun, Min, Arefan, Dooman, Zuley, Margarita, Sumkin, Jules, Wu, Shandong

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Comparison of two-dimensional synthesized mammograms versus original digital mammograms alone and in combination with tomosynthesis images von Zuley, Margarita L, Guo, Ben, Catullo, Victor J, Chough, Denise M, Kelly, Amy E, Lu, Amy H, Rathfon, Grace Y, Lee Spangler, Marion, Sumkin, Jules H, Wallace, Luisa P, Bandos, Andriy I

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Digital Breast Tomosynthesis: Observer Performance Study von Gur, David, Abrams, Gordon S, Chough, Denise M, Ganott, Marie A, Hakim, Christiane M, Perrin, Ronald L, Rathfon, Grace Y, Sumkin, Jules H, Zuley, Margarita L, Bandos, Andriy I

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Bilateral mammographic density asymmetry and breast cancer risk: A preliminary assessment von Zheng, Bin, Sumkin, Jules H, Zuley, Margarita L, Wang, Xingwei, Klym, Amy H, Gur, David

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Deep Learning Pre-training Strategy for Mammogram Image Classification: an Evaluation Study von Clancy, Kadie, Aboutalib, Sarah, Mohamed, Aly, Sumkin, Jules, Wu, Shandong

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Screening for early detection of breast cancer: overdiagnosis versus suboptimal patient management von Gur, David, Sumkin, Jules H

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Digital breast tomosynthesis in the diagnostic environment: A subjective side-by-side review von Hakim, Christiane M, Chough, Denise M, Ganott, Marie A, Sumkin, Jules H, Zuley, Margarita L, Gur, David

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Diagnostic accuracy and recall rates for digital mammography and digital mammography combined with one-view and two-view tomosynthesis: results of an enriched reader study von Rafferty, Elizabeth A, Park, Jeong Mi, Philpotts, Liane E, Poplack, Steven P, Sumkin, Jules H, Halpern, Elkan F, Niklason, Loren T

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State of Academic Radiology: Current Challenges, Future Adaptations von Oates, M. Elizabeth, Brown, Manuel L., Coy, David L., Sumkin, Jules H.

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Integrated 2D and 3D mammography von Sumkin, Jules H

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DCE-MRI Background Parenchymal Enhancement Quantified from an Early versus Delayed Post-contrast Sequence: Association with Breast Cancer Presence von Wu, Shandong, Zuley, Margarita L., Berg, Wendie A., Kurland, Brenda F., Jankowitz, Rachel C., Sumkin, Jules H., Gur, David

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Contrast Enhanced Digital Mammography (CEDM) Helps to Safely Reduce Benign Breast Biopsies for Low to Moderately Suspicious Soft Tissue Lesions von Zuley, Margarita L., Bandos, Andriy I., Abrams, Gordon S., Ganott, Marie A., Gizienski, Terri-Ann, Hakim, Christiane M., Kelly, Amy E., Nair, Bronwyn E., Sumkin, Jules H., Waheed, Uzma, Gur, David

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