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Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis.

G. Nebbia, S. Dadsetan, D. Arefan, M. Zuley, J. Sumkin, H. Huang, and S. Wu. MICCAI (5), volume 12905 of Lecture Notes in Computer Science, page 634-643. Springer, (2021)

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Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics.G. Nebbia, Q. Zhang, D. Arefan, X. Zhao, and S. Wu. J. Digit. Imaging, 33 (6): 1376-1386 (2020)A CT-based radiomics model for predicting renal capsule invasion in renal cell carcinoma.L. Yang, L. Gao, D. Arefan, Y. Tan, H. Dan, and J. Zhang. BMC Medical Imaging, 22 (1): 15 (2022)Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis.G. Nebbia, S. Dadsetan, D. Arefan, M. Zuley, J. Sumkin, H. Huang, and S. Wu. MICCAI (5), volume 12905 of Lecture Notes in Computer Science, page 634-643. Springer, (2021)Deep learning of longitudinal mammogram examinations for breast cancer risk prediction.S. Dadsetan, D. Arefan, W. Berg, M. Zuley, J. Sumkin, and S. Wu. Pattern Recognit., (2022)Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification.J. Luo, G. Kitamura, D. Arefan, E. Doganay, A. Panigrahy, and S. Wu. MLMI@MICCAI, volume 12966 of Lecture Notes in Computer Science, page 555-564. Springer, (2021)SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables.D. Hao, Q. Li, Q. Feng, L. Qi, X. Liu, D. Arefan, Y. Zhang, and S. Wu. Artif. Intell. Medicine, (2022)Deep curriculum learning in task space for multi-class based mammography diagnosis.J. Luo, D. Arefan, M. Zuley, J. Sumkin, and S. Wu. Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Anterior cruciate ligament classification in knee MRI using automated pseudo-masking.S. Dadsetan, M. Albers, A. Weinstock, V. Musahl, G. Kitamura, D. Arefan, and S. Wu. Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Multi-task learning to incorporate clinical knowledge into deep learning for breast cancer diagnosis.G. Nebbia, D. Arefan, M. Zuley, J. Sumkin, and S. Wu. Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Adversarially Robust Feature Learning for Breast Cancer Diagnosis.D. Hao, D. Arefan, M. Zuley, W. Berg, and S. Wu. CoRR, (2024)

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Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis.

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Disambiguation of "Arefan, Dooman"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis.

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Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis.