Dooman Arefan

According to our database1, Dooman Arefan authored at least 17 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Adversarially Robust Feature Learning for Breast Cancer Diagnosis.
CoRR, 2024

2023
Medical knowledge-guided deep learning for mammographic breast density classification.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Anterior cruciate ligament classification in knee MRI using automated pseudo-masking.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum Learning.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Deep learning of longitudinal mammogram examinations for breast cancer risk prediction.
Pattern Recognit., 2022

A CT-based radiomics model for predicting renal capsule invasion in renal cell carcinoma.
BMC Medical Imaging, 2022

SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables.
Artif. Intell. Medicine, 2022

A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation.
Artif. Intell. Medicine, 2022

Incorporate radiograph-reading behavior and knowledge into deep reinforcement learning for lesion localization.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Deep curriculum learning in task space for multi-class based mammography diagnosis.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021
Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification.
CoRR, 2021

Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images.
CoRR, 2021

Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis.
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.
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.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Medical knowledge-guided deep curriculum learning for elbow fracture diagnosis from x-ray images.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020
Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics.
J. Digit. Imaging, 2020


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