Dooman Arefan

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Breast Cancer Diagnosis

Prognostic Factors

Student Modelling

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Artif. Intell. Medicine

Publications

Degan Hao, Dooman Arefan, Margarita L. Zuley, Wendie A. Berg, Shandong Wu
Adversarially Robust Feature Learning for Breast Cancer Diagnosis. CoRR (2024)
Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu
Medical knowledge-guided deep learning for mammographic breast density classification. Medical Imaging: Computer-Aided Diagnosis (2023)
Saba Dadsetan, Marcio Albers, Allison Weinstock, Volker Musahl, Gene Kitamura, Dooman Arefan, Shandong Wu
Anterior cruciate ligament classification in knee MRI using automated pseudo-masking. Medical Imaging: Computer-Aided Diagnosis (2023)
Zhengbo Zhou, Jun Luo, Dooman Arefan, Gene Kitamura, Shandong Wu
Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum Learning. ISBI (2023)
Degan Hao, Qiong Li, Qiuxia Feng, Liang Qi, Xisheng Liu, Dooman Arefan, Yu-Dong Zhang, Shandong Wu
SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables. Artif. Intell. Medicine 134 (2022)
Degan Hao, Dooman Arefan, Shandong Wu
Incorporate radiograph-reading behavior and knowledge into deep reinforcement learning for lesion localization. Medical Imaging: Computer-Aided Diagnosis (2022)
Jun Luo, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
Deep curriculum learning in task space for multi-class based mammography diagnosis. Medical Imaging: Computer-Aided Diagnosis (2022)
Degan Hao, Maaz Ahsan, Tariq Salim, Andres Duarte-Rojo, Dadashzadeh Esmaeel, Yudong Zhang, Dooman Arefan, Shandong Wu
A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation. Artif. Intell. Medicine 132 (2022)
Saba Dadsetan, Dooman Arefan, Wendie A. Berg, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
Deep learning of longitudinal mammogram examinations for breast cancer risk prediction. Pattern Recognit. 132 (2022)
Lu Yang, Long Gao, Dooman Arefan, Yuchuan Tan, Hanli Dan, Jiuquan Zhang
A CT-based radiomics model for predicting renal capsule invasion in renal cell carcinoma. BMC Medical Imaging 22 (1) (2022)
Jun Luo, Gene Kitamura, Emine Doganay, Dooman Arefan, Shandong Wu
Medical knowledge-guided deep curriculum learning for elbow fracture diagnosis from x-ray images. Medical Imaging: Computer-Aided Diagnosis (2021)
Jun Luo, Gene Kitamura, Emine Doganay, Dooman Arefan, Shandong Wu
Medical Knowledge-Guided Deep Curriculum Learning for Elbow Fracture Diagnosis from X-Ray Images. CoRR (2021)
Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu
Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification. CoRR (2021)
Jun Luo, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
Deep Curriculum Learning in Task Space for Multi-Class Based Mammography Diagnosis. CoRR (2021)
Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. MLMI@MICCAI (2021)
Giacomo Nebbia, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu
Multi-task learning to incorporate clinical knowledge into deep learning for breast cancer diagnosis. Medical Imaging: Computer-Aided Diagnosis (2021)
Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Shandong Wu
Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images. CoRR (2021)
Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. CoRR (2021)
Giacomo Nebbia, Saba Dadsetan, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Heng Huang, Shandong Wu
Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis. MICCAI (5) (2021)
Giacomo Nebbia, Qian Zhang, Dooman Arefan, Xinxiang Zhao, Shandong Wu
Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics. J. Digit. Imaging 33 (6) (2020)