Margarita L. Zuley

According to our database, Margarita L. Zuley authored at least 19 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, May, 2025

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

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

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

Adversarially Robust Feature Learning for Breast Cancer Diagnosis.

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

CoRR, 2024

Safe Breast Cancer Diagnosis Resilient to Mammographic Adversarial Samples.

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

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2024

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Medical knowledge-guided deep learning for mammographic breast density classification.

Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

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

Deep curriculum learning in task space for multi-class based mammography diagnosis.

Jun Luo, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021

Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification.

Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu

CoRR, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Estimating near term breast cancer risk from sequential mammograms using deep learning, radon cumulative distribution transform, and a clinical risk factor: preliminary analysis.

Juhun Lee, Robert M. Nishikawa, Andriy Bandos, Margarita L. Zuley

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2019

Oculomotor behaviour of radiologists reading digital breast tomosynthesis (DBT).

Nicholas M. D'Ardenne, Robert M. Nishikawa, Margarita L. Zuley, Chia-Chien Wu, Jeremy M. Wolfe

Proceedings of the Medical Imaging 2019: Image Perception, 2019

Deep learning of sub-regional breast parenchyma in mammograms for localized breast cancer risk prediction.

Giacomo Nebbia, Aly A. Mohamed, Ruimei Chai, Bingjie Zheng, Margarita L. Zuley, Shandong Wu

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

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

Proceedings of the Medical Imaging 2018: Image Perception, 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

2008

Assessment of the relationship between lesion segmentation accuracy and computer-aided diagnosis scheme performance.

Bin Zheng, Jiantao Pu, Sang Cheol Park, Margarita L. Zuley, David Gur

Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008