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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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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)Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum Learning.Z. Zhou, J. Luo, D. Arefan, G. Kitamura, and S. Wu. ISBI, page 1-5. IEEE, (2023)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)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)A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation.D. Hao, M. Ahsan, T. Salim, A. Duarte-Rojo, D. Esmaeel, Y. Zhang, D. Arefan, and S. Wu. Artif. Intell. Medicine, (2022)Medical knowledge-guided deep learning for mammographic breast density classification.L. Gao, C. Liu, D. Arefan, A. Panigrahy, M. Zuley, and S. Wu. Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Medical knowledge-guided deep curriculum learning for elbow fracture diagnosis from x-ray images.J. Luo, G. Kitamura, E. Doganay, D. Arefan, and S. Wu. Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)

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Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis.

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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.