Implementing PET-guided biopsy: integrating functional imaging data with digital x-ray mammography cameras. - Irving N. Weinberg; Valera Zawarzin; Roberto Pani; Rodney C. Williams; Rita L. Freimanis; Nadia M. Lesko; E. A. Levine; N. Perrier; Wendie A. Berg; Lee P. Adler (Image-Guided Procedures, 2001)

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)

Do pre-trained deep learning models improve computer-aided classification of digital mammograms? - Sarah S. Aboutalib; Aly A. Mohamed; Margarita L. Zuley; Wendie A. Berg; Yahong Luo; Shandong Wu (Computer-Aided Diagnosis, 2018)

Deep learning for identifying breast cancer malignancy and false recalls: a robustness study on training strategy. - Kadie Clancy; Lei Zhang; Aly A. Mohamed; Sarah S. Aboutalib; Wendie A. Berg; Shandong Wu (Computer-Aided Diagnosis, 2019)

Performance comparison of different loss functions for digital breast tomosynthesis classification using 3D deep learning model. - Emine Doganay; Yahong Luo; Long Gao; Puchen Li; Wendie A. Berg; Shandong Wu (Computer-Aided Diagnosis, 2020)

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)

Safe Breast Cancer Diagnosis Resilient to Mammographic Adversarial Samples. - Degan Hao; Dooman Arefan; Margarita L. Zuley; Wendie A. Berg; Shandong Wu (Deep-Breath@MICCAI, 2024)

Adversarially Robust Feature Learning for Breast Cancer Diagnosis. - Degan Hao; Dooman Arefan; Margarita L. Zuley; Wendie A. Berg; Shandong Wu (CoRR, 2024)