Dooman Arefan

According to our database, Dooman Arefan authored at least 18 papers between 2020 and 2024.

Collaborative distances:

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

2024

Adversarially Robust Feature Learning for Breast Cancer Diagnosis.

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

CoRR, 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

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

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

Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum Learning.

Zhengbo Zhou, Jun Luo, Dooman Arefan, Gene Kitamura, Shandong Wu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 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

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

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, Shandong Wu

Artif. Intell. Medicine, 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, Dooman Arefan, Shandong Wu

Artif. Intell. Medicine, 2022

Incorporate radiograph-reading behavior and knowledge into deep reinforcement learning for lesion localization.

Degan Hao, Dooman Arefan, Shandong Wu

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

Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images.

Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, 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

Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification.

Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 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

Medical knowledge-guided deep curriculum learning for elbow fracture diagnosis from x-ray images.

Jun Luo, Gene Kitamura, Emine Doganay, Dooman Arefan, Shandong Wu

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

2020

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