Wendie A. Berg

According to our database, Wendie A. Berg authored at least 7 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Adversarially Robust Feature Learning for Breast Cancer Diagnosis.

Degan Hao, Dooman Arefan, Margarita L. Zuley, Wendie A. Berg, Shandong Wu

CoRR, 2024

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

2020

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

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

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

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

2018

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

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2015

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

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

2001

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

Proceedings of the Medical Imaging 2001: Visualization, 2001