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Dooman Arefan

Showing results (11-20 of 34) with videos related to

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Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care : First Deep Breast Workshop, Deep-Breath 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Deep-Bre|February 27, 2026
Safe Breast Cancer Diagnosis Resilient to Mammographic Adversarial SamplesDegan Hao, Dooman Arefan, Margarita L Zuley, et al.
BMC Cancer|April 8, 2021
Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypesDooman Arefan, Ryan M Hausler, Jules H Sumkin, et al.
Clinical Nuclear Medicine|May 13, 2025
Artificial Intelligence in Sincalide-Stimulated Cholescintigraphy: A Pilot StudyNghi C Nguyen, Jun Luo, Dooman Arefan, et al.
Neurosurgical Focus|August 8, 2023
Comparison of machine learning models to predict long-term outcomes after severe traumatic brain injuryDooman Arefan, Matthew Pease, Shawn R Eagle, et al.
Pattern Recognition|April 24, 2023
Deep learning of longitudinal mammogram examinations for breast cancer risk predictionSaba Dadsetan, Dooman Arefan, Wendie A Berg, et al.
Advances in Experimental Medicine and Biology|November 10, 2024
Computational Prognostic Modeling in Traumatic Brain InjuryMatthew Pease, Dooman Arefan, Flora M Hammond, et al.
Frontiers in Oncology|May 17, 2021
Radiomics-Based Features for Prediction of Histological Subtypes in Central Lung CancerHuanhuan Li, Long Gao, He Ma, et al.
Medical Physics|November 1, 2019
Deep learning modeling using normal mammograms for predicting breast cancer riskDooman Arefan, Aly A Mohamed, Wendie A Berg, et al.
Radiology|January 23, 2024
Assessment of Background Parenchymal Enhancement at Dynamic Contrast-enhanced MRI in Predicting Breast Cancer Recurrence RiskDooman Arefan, Margarita L Zuley, Wendie A Berg, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 9, 2019
Differentiating axillary lymph node metastasis in invasive breast cancer patients: A comparison of radiomic signatures from multiparametric breast MR sequencesRuimei Chai, He Ma, Mingjie Xu, et al.
Pageof 4

Showing results (11-20 of 34) with videos related to

Sort By:
Pageof 4
Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care : First Deep Breast Workshop, Deep-Breath 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Deep-Bre|February 27, 2026
Safe Breast Cancer Diagnosis Resilient to Mammographic Adversarial SamplesDegan Hao, Dooman Arefan, Margarita L Zuley, et al.
BMC Cancer|April 8, 2021
Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypesDooman Arefan, Ryan M Hausler, Jules H Sumkin, et al.
Clinical Nuclear Medicine|May 13, 2025
Artificial Intelligence in Sincalide-Stimulated Cholescintigraphy: A Pilot StudyNghi C Nguyen, Jun Luo, Dooman Arefan, et al.
Neurosurgical Focus|August 8, 2023
Comparison of machine learning models to predict long-term outcomes after severe traumatic brain injuryDooman Arefan, Matthew Pease, Shawn R Eagle, et al.
Pattern Recognition|April 24, 2023
Deep learning of longitudinal mammogram examinations for breast cancer risk predictionSaba Dadsetan, Dooman Arefan, Wendie A Berg, et al.
Advances in Experimental Medicine and Biology|November 10, 2024
Computational Prognostic Modeling in Traumatic Brain InjuryMatthew Pease, Dooman Arefan, Flora M Hammond, et al.
Frontiers in Oncology|May 17, 2021
Radiomics-Based Features for Prediction of Histological Subtypes in Central Lung CancerHuanhuan Li, Long Gao, He Ma, et al.
Medical Physics|November 1, 2019
Deep learning modeling using normal mammograms for predicting breast cancer riskDooman Arefan, Aly A Mohamed, Wendie A Berg, et al.
Radiology|January 23, 2024
Assessment of Background Parenchymal Enhancement at Dynamic Contrast-enhanced MRI in Predicting Breast Cancer Recurrence RiskDooman Arefan, Margarita L Zuley, Wendie A Berg, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 9, 2019
Differentiating axillary lymph node metastasis in invasive breast cancer patients: A comparison of radiomic signatures from multiparametric breast MR sequencesRuimei Chai, He Ma, Mingjie Xu, et al.
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