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Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis.

, , , , , , and . MICCAI (5), volume 12905 of Lecture Notes in Computer Science, page 634-643. Springer, (2021)

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Doubling down: sparse grounding with an additional, almost-matching caption for detection-oriented multimodal pretraining., and . CVPR Workshops, page 4641-4650. IEEE, (2022)Deep learning of sub-regional breast parenchyma in mammograms for localized breast cancer risk prediction., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109502P. SPIE, (2019)Multi-task learning to incorporate clinical knowledge into deep learning for breast cancer diagnosis., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Synonym relations affect object detection learned on vision-language data., and . NAACL-HLT (Findings), page 3770-3776. Association for Computational Linguistics, (2024)Cycle-GANs Generated Difference Maps to Interpret Race Prediction from Medical Images., , , , , , , , , and 7 other author(s). FAIMI/EPIMI@MICCAI, volume 15198 of Lecture Notes in Computer Science, page 129-139. Springer, (2024)Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining., and . ICMR, page 67-75. ACM, (2023)Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis., , , , , , and . MICCAI (5), volume 12905 of Lecture Notes in Computer Science, page 634-643. Springer, (2021)Image-caption difficulty for efficient weakly-supervised object detection from in-the-wild data., and . CVPR Workshops, page 2596-2605. IEEE, (2024)