Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics. - Giacomo Nebbia; Qian Zhang; Dooman Arefan; Xinxiang Zhao; Shandong Wu (J. Digit. Imaging, 2020)

Medical knowledge-guided deep curriculum learning for elbow fracture diagnosis from x-ray images. - Jun Luo 010; Gene Kitamura; Emine Doganay; Dooman Arefan; Shandong Wu (Computer-Aided Diagnosis, 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 (Computer-Aided Diagnosis, 2021)

Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. - Jun Luo 010; Gene Kitamura; Dooman Arefan; Emine Doganay; Ashok Panigrahy; Shandong Wu (MLMI@MICCAI, 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)

Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images. - Long Gao; Chang Liu; Dooman Arefan; Ashok Panigrahy; Shandong Wu (CoRR, 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)

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)

Incorporate radiograph-reading behavior and knowledge into deep reinforcement learning for lesion localization. - Degan Hao; Dooman Arefan; Shandong Wu (Computer-Aided Diagnosis, 2022)

A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation. - Degan Hao; Maaz Ahsan; Tariq Salim; Andres Duarte-Rojo; Dadashzadeh Esmaeel; Yudong Zhang 001; Dooman Arefan; Shandong Wu (Artif. Intell. Medicine, 2022)

SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables. - Degan Hao; Qiong Li; Qiuxia Feng; Liang Qi; Xisheng Liu; Dooman Arefan; Yu-Dong Zhang 001; Shandong Wu (Artif. Intell. Medicine, 2022)

A CT-based radiomics model for predicting renal capsule invasion in renal cell carcinoma. - Lu Yang; Long Gao; Dooman Arefan; Yuchuan Tan; Hanli Dan; Jiuquan Zhang (BMC Medical Imaging, 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)

Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum Learning. - Zhengbo Zhou; Jun Luo 010; Dooman Arefan; Gene Kitamura; Shandong Wu (ISBI, 2023)

Anterior cruciate ligament classification in knee MRI using automated pseudo-masking. - Saba Dadsetan; Marcio Albers; Allison Weinstock; Volker Musahl; Gene Kitamura; Dooman Arefan; Shandong Wu (Computer-Aided Diagnosis, 2023)

Medical knowledge-guided deep learning for mammographic breast density classification. - Long Gao; Chang Liu; Dooman Arefan; Ashok Panigrahy; Margarita L. Zuley; Shandong Wu (Computer-Aided Diagnosis, 2023)

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)

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)

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)