Towards a clinically useful sonic flashlight. - George D. Stetten; Damion Shelton; Wilson Chang; Vikram S. Chib; Robert J. Tamburo; Daniel Hildebrand; L. Lobes; Jules H. Sumkin (ISBI, 2002)

Improving CAD performance in detecting masses depicted on prior images. - Bin Zheng 001; Xiao Hui Wang 011; Luisa P. Wallace; Cathy Cohen; Lara A. Hardesty; Christiane M. Hakim; Gordon Abran; Jules H. Sumkin; David Gur (Image Processing, 2003)

Projection models for stereo display of chest CT. - Xiao Hui Wang 011; Walter F. Good; Carl R. Fuhrman; Jules H. Sumkin; Cynthia A. Britton; Thomas E. Warfel; David Gur (Image-Guided Procedures, 2004)

A Multisite Telemammography System for Remote Management of Screening Mammography: An Assessment of Technical, Operational, and Clinical Issues. - Joseph 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 (J. Digit. Imaging, 2006)

Application of 3D geometric tensors for segmenting cylindrical tree structures from volumetric datasets. - Walter F. Good; Xiao Hui Wang 011; Carl Fuhrman; Jules H. Sumkin; Glenn S. Maitz; Joseph K. Leader; Cynthia Britton; David Gur (Image Processing, 2007)

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 (Digital Mammography / IWDM, 2008)

Signal enhancement ratio (SER) quantified from breast DCE-MRI and breast cancer risk. - Shandong Wu; Brenda F. Kurland; Wendie A. Berg; Margarita L. Zuley; Rachel C. Jankowitz; Jules H. Sumkin; David Gur (Computer-Aided Diagnosis, 2015)

Changes in frequency of recall recommendations of examinations depicting cancer with the availability of either priors or digital breast tomosynthesis. - Christiane 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 (Image Perception, Observer Performance, and Technology Assessment, 2016)

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; et al. (Image Perception, Observer Performance, and Technology Assessment, 2018)

Deep Learning Pre-training Strategy for Mammogram Image Classification: an Evaluation Study. - Kadie Clancy; Sarah S. Aboutalib; Aly A. Mohamed; Jules H. Sumkin; Shandong Wu (J. Digit. Imaging, 2020)

Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification Performance. - Degan Hao; Lei Zhang 036; Jules H. Sumkin; Aly A. Mohamed; Shandong Wu (IEEE J. Biomed. Health Informatics, 2020)

Multi-task learning to incorporate clinical knowledge into deep learning for breast cancer diagnosis. - Giacomo Nebbia; Dooman Arefan; Margarita L. Zuley; Jules H. Sumkin; Shandong Wu (Computer-Aided Diagnosis, 2021)

Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis. - Giacomo Nebbia; Saba Dadsetan; Dooman Arefan; Margarita L. Zuley; Jules H. Sumkin; Heng Huang; Shandong Wu (MICCAI (5), 2021)

Deep curriculum learning in task space for multi-class based mammography diagnosis. - Jun Luo 010; Dooman Arefan; Margarita L. Zuley; Jules H. Sumkin; Shandong Wu (Computer-Aided Diagnosis, 2022)

Deep learning of longitudinal mammogram examinations for breast cancer risk prediction. - Saba Dadsetan; Dooman Arefan; Wendie A. Berg; Margarita L. Zuley; Jules H. Sumkin; Shandong Wu (Pattern Recognit., 2022)

Knowledge-Guided Multi-Task Learning for Breast Cancer Diagnosis Using Longitudinal Mammogram Images. - Zhengbo Zhou; Dooman Arefan; Margarita L. Zuley; Degan Hao; Jules H. Sumkin; Shandong Wu (ISBI, 2024)

Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks. - Zhengbo Zhou; Degan Hao; Dooman Arefan; Margarita L. Zuley; Jules H. Sumkin; Shandong Wu (CoRR, 2024)

Longmambattn: A Novel Architecture for Enhanced Breast Cancer Risk Prediction Using Variable-Length Longitudinal Mammograms. - Zhengbo Zhou; Dooman Arefan; Margarita L. Zuley; Jules H. Sumkin; Shandong Wu (ISBI, 2025)

STA-Risk: A Deep Dive of Spatio-Temporal Asymmetries for Breast Cancer Risk Prediction. - Zhengbo Zhou; Dooman Arefan; Margarita L. Zuley; Jules H. Sumkin; Shandong Wu (CoRR, 2025)