Margarita L. Zuley

24 papers A* 1Journal 7Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Δt-Mamba3D: A Time‑Aware Spatio‑Temporal State‑Space Model for Breast Cancer Risk Prediction. AAAI Zhengbo Zhou, Dooman Arefan, Margarita L. Zuley, Shandong Wu
2025	—	`conf`	Bias-Resilient Feature Learning for Robust Domain Adaptation in Mammography. AMAI@MICCAI Degan Hao, Dooman Arefan, Jun Luo, Margarita L. Zuley, Na Du, Shandong Wu
2025	—	`conf`	Longitudinal Mammogram Exam-Based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks. Deep-Breath@MICCAI Zhengbo Zhou, Degan Hao, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Lars Grimm, James Joshi, Shandong Wu
2025	—	`conf`	Longmambattn: A Novel Architecture for Enhanced Breast Cancer Risk Prediction Using Variable-Length Longitudinal Mammograms. ISBI Zhengbo Zhou, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
2025	J	`jnl`	STA-Risk: A Deep Dive of Spatio-Temporal Asymmetries for Breast Cancer Risk Prediction. CoRR Zhengbo Zhou, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
2025	J	`jnl`	Δt-Mamba3D: A Time-Aware Spatio-Temporal State-Space Model for Breast Cancer Risk Prediction. CoRR Zhengbo Zhou, Dooman Arefan, Margarita L. Zuley, Shandong Wu
2024	J	`jnl`	Adversarially Robust Feature Learning for Breast Cancer Diagnosis. CoRR Degan Hao, Dooman Arefan, Margarita L. Zuley, Wendie A. Berg, Shandong Wu
2024	—	`conf`	Knowledge-Guided Multi-Task Learning for Breast Cancer Diagnosis Using Longitudinal Mammogram Images. ISBI Zhengbo Zhou, Dooman Arefan, Margarita L. Zuley, Degan Hao, Jules H. Sumkin, Shandong Wu
2024	J	`jnl`	Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks. CoRR Zhengbo Zhou, Degan Hao, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
2024	—	`conf`	Safe Breast Cancer Diagnosis Resilient to Mammographic Adversarial Samples. Deep-Breath@MICCAI Degan Hao, Dooman Arefan, Margarita L. Zuley, Wendie A. Berg, Shandong Wu
2023	—	`conf`	Medical knowledge-guided deep learning for mammographic breast density classification. Computer-Aided Diagnosis Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu
2022	—	`conf`	Deep curriculum learning in task space for multi-class based mammography diagnosis. Computer-Aided Diagnosis Jun Luo, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
2022	J	`jnl`	Deep learning of longitudinal mammogram examinations for breast cancer risk prediction. Pattern Recognit. Saba Dadsetan, Dooman Arefan, Wendie A. Berg, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
2021	J	`jnl`	Deep Curriculum Learning in Task Space for Multi-Class Based Mammography Diagnosis. CoRR Jun Luo, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
2021	—	`conf`	Estimating near term breast cancer risk from sequential mammograms using deep learning, radon cumulative distribution transform, and a clinical risk factor: preliminary analysis. Computer-Aided Diagnosis Juhun Lee, Robert M. Nishikawa, Andriy Bandos, Margarita L. Zuley
2021	J	`jnl`	Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification. CoRR Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu
2021	—	`conf`	Multi-task learning to incorporate clinical knowledge into deep learning for breast cancer diagnosis. Computer-Aided Diagnosis Giacomo Nebbia, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
2021	—	`conf`	Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis. MICCAI (5) Giacomo Nebbia, Saba Dadsetan, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Heng Huang, Shandong Wu
2019	—	`conf`	Deep learning of sub-regional breast parenchyma in mammograms for localized breast cancer risk prediction. Computer-Aided Diagnosis Giacomo Nebbia, Aly A. Mohamed, Ruimei Chai, Bingjie Zheng, Margarita L. Zuley, Shandong Wu
2019	—	`conf`	Oculomotor behaviour of radiologists reading digital breast tomosynthesis (DBT). Image Perception, Observer Performance, and Technology Assessment Nicholas M. D'Ardenne, Robert M. Nishikawa, Margarita L. Zuley, Chia-Chien Wu, Jeremy M. Wolfe
2018	—	`conf`	Can a limited double reading/second opinion of initially recalled breast ultrasound screening examinations improve radiologists' performances? Image Perception, Observer Performance, and Technology Assessment 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
2018	—	`conf`	Do pre-trained deep learning models improve computer-aided classification of digital mammograms? Computer-Aided Diagnosis Sarah S. Aboutalib, Aly A. Mohamed, Margarita L. Zuley, Wendie A. Berg, Yahong Luo, Shandong Wu
2015	—	`conf`	Signal enhancement ratio (SER) quantified from breast DCE-MRI and breast cancer risk. Computer-Aided Diagnosis Shandong Wu, Brenda F. Kurland, Wendie A. Berg, Margarita L. Zuley, Rachel C. Jankowitz, Jules H. Sumkin, David Gur
2008	—	`conf`	Assessment of the relationship between lesion segmentation accuracy and computer-aided diagnosis scheme performance. Computer-Aided Diagnosis Bin Zheng, Jiantao Pu, Sang Cheol Park, Margarita L. Zuley, David Gur