Dooman Arefan - RankMe

32 papers A* 1Journal 15Unranked 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`	An Unsupervised Domain Adaptation Method to Enhance Diagnostic Model Resilience on Heterogeneous Medical Imaging Data. TPS-ISA Zhiwei Gong, Dooman Arefan, Wendie A. Berg, 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	—	`conf`	Uncertainty Quantification for Deep Learning-Based Medical Imaging Classification Model Evaluation and Individualized Risk Estimation. TPS-ISA Jiren Li, Dooman Arefan, 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`	Anterior cruciate ligament classification in knee MRI using automated pseudo-masking. Computer-Aided Diagnosis Saba Dadsetan, Marcio Albers, Allison Weinstock, Volker Musahl, Gene Kitamura, Dooman Arefan, Shandong Wu
2023	—	`conf`	Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum Learning. ISBI Zhengbo Zhou, Jun Luo, Dooman Arefan, Gene Kitamura, Shandong Wu
2023	J	`jnl`	Human not in the loop: objective sample difficulty measures for Curriculum Learning. CoRR Zhengbo Zhou, Jun Luo, Dooman Arefan, Gene Kitamura, 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	J	`jnl`	A CT-based radiomics model for predicting renal capsule invasion in renal cell carcinoma. BMC Medical Imaging Lu Yang, Long Gao, Dooman Arefan, Yuchuan Tan, Hanli Dan, Jiuquan Zhang
2022	J	`jnl`	A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation. Artif. Intell. Medicine Degan Hao, Maaz Ahsan, Tariq Salim, Andres Duarte-Rojo, Dadashzadeh Esmaeel, Yudong Zhang, Dooman Arefan, 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
2022	—	`conf`	Incorporate radiograph-reading behavior and knowledge into deep reinforcement learning for lesion localization. Computer-Aided Diagnosis Degan Hao, Dooman Arefan, Shandong Wu
2022	J	`jnl`	SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables. Artif. Intell. Medicine Degan Hao, Qiong Li, Qiuxia Feng, Liang Qi, Xisheng Liu, Dooman Arefan, Yu-Dong Zhang, Shandong Wu
2021	J	`jnl`	Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images. CoRR Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, 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`	Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. MLMI@MICCAI Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu
2021	J	`jnl`	Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. CoRR Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu
2021	J	`jnl`	Medical Knowledge-Guided Deep Curriculum Learning for Elbow Fracture Diagnosis from X-Ray Images. CoRR Jun Luo, Gene Kitamura, Emine Doganay, Dooman Arefan, Shandong Wu
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`	Medical knowledge-guided deep curriculum learning for elbow fracture diagnosis from x-ray images. Computer-Aided Diagnosis Jun Luo, Gene Kitamura, Emine Doganay, Dooman Arefan, 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
2020	J	`jnl`	Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics. J. Digit. Imaging Giacomo Nebbia, Qian Zhang, Dooman Arefan, Xinxiang Zhao, Shandong Wu