Jules H. Sumkin - researchr alias

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Viewing Publication 1 - 15 from 15

2022

Deep curriculum learning in task space for multi-class based mammography diagnosisJun Luo 0010, Dooman Arefan, Margarita Zuley, Jules H. Sumkin, Shandong Wu. micad 2022: [doi]

Deep learning of longitudinal mammogram examinations for breast cancer risk predictionSaba Dadsetan, Dooman Arefan, Wendie A. Berg, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu. PR, 132:108919, 2022. [doi]

2021

Multi-task learning to incorporate clinical knowledge into deep learning for breast cancer diagnosisGiacomo Nebbia, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu. micad 2021: [doi]

Radiomics-Informed Deep Curriculum Learning for Breast Cancer DiagnosisGiacomo Nebbia, Saba Dadsetan, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Heng Huang, Shandong Wu. miccai 2021: 634-643 [doi]

2020

Deep Learning Pre-training Strategy for Mammogram Image Classification: an Evaluation StudyKadie Clancy, Sarah S. Aboutalib, Aly A. Mohamed, Jules H. Sumkin, Shandong Wu. jdi, 33(5):1257-1265, 2020. [doi]

Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification PerformanceDegan Hao, Lei Zhang 0036, Jules H. Sumkin, Aly A. Mohamed, Shandong Wu. titb, 24(9):2701-2710, 2020. [doi]

2018

Can a limited double reading/second opinion of initially recalled breast ultrasound screening examinations improve radiologists' performances?David Gur, Kimberly Harnist, Terri-Ann Gizienski, Margarita L. Zuley, Christiane M. Hakim, Amy Lu, Jules H. Sumkin, Gordon Abrams, Marie A. Ganott, Amy E. Kelly, Cathy S. Tyma, Thomas S. Chang, Marcella Bhm-Vélez, Robin Sobolewski. miipop 2018: 1057710 [doi]

2016

Changes in frequency of recall recommendations of examinations depicting cancer with the availability of either priors or digital breast tomosynthesisChristiane M. Hakim, Andriy I. Bandos, Marie A. Ganott, Victor J. Catullo, Denise M. Chough, Amy E. Kelly, Dilip D. Shinde, Jules H. Sumkin, Luisa P. Wallace, Robert M. Nishikawa, David Gur. miipop 2016: [doi]

2015

Signal enhancement ratio (SER) quantified from breast DCE-MRI and breast cancer riskShandong Wu, Brenda F. Kurland, Wendie A. Berg, Margarita L. Zuley, Rachel C. Jankowitz, Jules H. Sumkin, David Gur. micad 2015: [doi]

2008

Different Search Patterns and Similar Decision Outcomes: How Can Experts Agree in the Decisions They Make When Reading Digital Mammograms?Claudia Mello-Thoms, Marie A. Ganott, Jules H. Sumkin, Christiane M. Hakim, Cynthia Britton, Luisa P. Wallace, Lara Hardesty. mammo 2008: 212-219 [doi]

2007

Application of 3D geometric tensors for segmenting cylindrical tree structures from volumetric datasetsWalter F. Good, Xiao-Hui Wang, Carl Fuhrman, Jules H. Sumkin, Glenn S. Maitz, Joseph K. Leader, Cynthia Britton, David Gur. miip 2007: [doi]

2006

A Multisite Telemammography System for Remote Management of Screening Mammography: An Assessment of Technical, Operational, and Clinical IssuesJoseph K. Leader, Christiane M. Hakim, Marie A. Ganott, Denise M. Chough, Luisa P. Wallace, Ronald J. Clearfield, Ronald L. Perrin, John M. Drescher, Glenn S. Maitz, Jules H. Sumkin, David Gur. jdi, 19(3):216-225, 2006. [doi]

2004

Projection models for stereo display of chest CTXiao-Hui Wang, Walter F. Good, Carl R. Fuhrman, Jules H. Sumkin, Cynthia A. Britton, Thomas E. Warfel, David Gur. miigp 2004: [doi]

2003

Improving CAD performance in detecting masses depicted on prior imagesBin Zheng, Xiao-Hui Wang, Luisa P. Wallace, Cathy Cohen, Lara A. Hardesty, Christiane M. Hakim, Gordon Abran, Jules H. Sumkin, David Gur. miip 2003: [doi]

2002

Towards a clinically useful sonic flashlightGeorge D. Stetten, Damion Shelton, Wilson Chang, Vikram S. Chib, Robert J. Tamburo, Daniel Hildebrand, L. Lobes, Jules H. Sumkin. isbi 2002: 417-420 [doi]

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