Dr. Dooman Arefan Profile

Dr. Dooman Arefan

at Univ of Pittsburgh

SPIE Involvement:

Author

Publications (15)

Proceedings Article | 3 April 2024 Poster + Paper

Incorporating longitudinal changes of mammograms for breast cancer diagnosis

Zhengbo Zhou, Dooman Arefan, Margarita Zuley, Jules Sumkin, Shandong Wu

Proceedings Volume 12927, 1292724 (2024) https://doi.org/10.1117/12.3008804

KEYWORDS: Mammography, Breast cancer, Tumor growth modeling, Diagnostics, Data modeling, Breast, Performance modeling, Education and training, Deep learning, Cancer

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Proceedings Article | 3 April 2024 Poster + Paper

Quantifying the quality of GAN-synthesized images: a study on synthesizing post-contrast sequences from pre-contrast sequences in breast DCE-MRI

Zhengbo Zhou, Dooman Arefan, Margarita Zuley, Jules Sumkin, Shandong Wu

Proceedings Volume 12927, 129272A (2024) https://doi.org/10.1117/12.3008803

KEYWORDS: Magnetic resonance imaging, Gallium nitride, Radiomics, Breast, Image quality, Breast cancer, Feature extraction, Education and training, Tumors, Machine learning

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Proceedings Article | 2 April 2024 Presentation + Paper

An automatic pipeline for data shift detection and mitigation to improve outcome prediction of traumatic brain injury

Jiren Li, Dooman Arefan, Matthew Pease, Chang Liu, David Okonkwo, Shandong Wu

Proceedings Volume 12931, 129310C (2024) https://doi.org/10.1117/12.3009348

KEYWORDS: Data modeling, Image registration, Computed tomography, Medical imaging, Machine learning, Principal component analysis, Head, Traumatic brain injury

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Proceedings Article | 7 April 2023 Poster + Paper

Medical knowledge-guided deep learning for mammographic breast density classification

Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita Zuley, Shandong Wu

Proceedings Volume 12465, 1246536 (2023) https://doi.org/10.1117/12.2655158

KEYWORDS: Breast density, Image classification, Education and training, Mammography, Deep learning, Surgery, Medical imaging, Machine learning, Statistical modeling, Breast

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Proceedings Article | 7 April 2023 Presentation + Paper

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 Volume 12465, 124650B (2023) https://doi.org/10.1117/12.2655278

KEYWORDS: Magnetic resonance imaging, Bone, Image segmentation, Deep learning, Data modeling, Injuries, Visual process modeling, Machine learning, Performance modeling

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Proceedings Article | 4 April 2022 Presentation + Paper

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

Degan Hao, Dooman Arefan, Shandong Wu

Proceedings Volume 12033, 120330Y (2022) https://doi.org/10.1117/12.2610787

KEYWORDS: Machine learning, Medical imaging, X-ray imaging

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Proceedings Article | 4 April 2022 Presentation + Paper

Deep curriculum learning in task space for multi-class based mammography diagnosis

Jun Luo, Dooman Arefan, Margarita Zuley, Jules Sumkin, Shandong Wu

Proceedings Volume 12033, 120330C (2022) https://doi.org/10.1117/12.2612617

KEYWORDS: Mammography, Digital mammography, Medical research, Machine learning, Artificial intelligence, Medical imaging, Image classification

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Proceedings Article | 15 February 2021 Presentation + Paper

Learning knowledge from longitudinal data of mammograms to improving breast cancer risk prediction

Saba Dadsetan, Dooman Arefan, Margarita Zuley, Jules Sumkin, Min Sun, Shandong Wu

Proceedings Volume 11601, 116010M (2021) https://doi.org/10.1117/12.2582267

KEYWORDS: Mammography, Breast cancer, Data modeling, Tumor growth modeling, Feature extraction

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Proceedings Article | 15 February 2021 Presentation + Paper

Multi-task learning to incorporate clinical knowledge into deep learning for breast cancer diagnosis

Giacomo Nebbia, Dooman Arefan, Margarita Zuley, Jules Sumkin, Shandong Wu

Proceedings Volume 11597, 1159710 (2021) https://doi.org/10.1117/12.2582285

KEYWORDS: Breast cancer, Tumor growth modeling, Data modeling, Cancer, Performance modeling, Mammography, Digital mammography, Breast

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Proceedings Article | 15 February 2021 Presentation + Paper

Suspicion Map: an unsupervised middleware for analyzing digital mammograms

Kadie Clancy, Dooman Arefan, Long Gao, Shandong Wu

Proceedings Volume 11601, 116010N (2021) https://doi.org/10.1117/12.2582032

KEYWORDS: Mammography, Tumor growth modeling, Tissues, Breast, Machine learning, Image segmentation, Feature extraction, Digital imaging, Breast cancer

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Proceedings Article | 15 February 2021 Presentation + Paper

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 Volume 11597, 1159712 (2021) https://doi.org/10.1117/12.2582184

KEYWORDS: X-rays, X-ray imaging, Medical imaging, Image classification, Data modeling, Bone, Diagnostics, Binary data

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Proceedings Article | 2 March 2020 Paper

One-class classification for highly imbalanced medical image data

Long Gao, Lu Yang, Dooman Arefan, Shandong Wu

Proceedings Volume 11318, 113181C (2020) https://doi.org/10.1117/12.2551389

KEYWORDS: Image classification, Breast cancer, Kidney, Tumors, Medical imaging, Binary data, Performance modeling, Magnetic resonance imaging, Tumor growth modeling, Data modeling

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