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Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond.

, , and . CoRR, (2019)

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A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation., and . CoRR, (2018)Transfer Learning With Intelligent Training Data Selection for Prediction of Alzheimer's Disease., , and . IEEE Access, (2019)Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks., , , , and . EMNLP (Industry Track), page 332-347. Association for Computational Linguistics, (2022)Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond., , and . CoRR, (2019)Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond., , , and . MIPR, page 85-90. IEEE, (2019)Explaining the Effectiveness of Multi-Task Learning for Efficient Knowledge Extraction from Spine MRI Reports., , , , , , , , , and . NAACL-HLT (Industry Papers), page 130-140. Association for Computational Linguistics, (2022)A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation., and . ISBI, page 683-687. IEEE, (2019)Multimodal Segmentation with MGF-Net and the Focal Tversky Loss Function., and . BrainLes@MICCAI (2), volume 11993 of Lecture Notes in Computer Science, page 191-198. Springer, (2019)