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Learning From Noisy Labels by Regularized Estimation of Annotator Confusion.

, , , , and . CVPR, page 11244-11253. Computer Vision Foundation / IEEE, (2019)

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Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation., , , , , , , , , and 13 other author(s). CoRR, (2023)Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients., , , , , , , , , and 3 other author(s). CoRR, (2020)Foveation for Segmentation of Mega-Pixel Histology Images., , , , and . MICCAI (5), volume 12265 of Lecture Notes in Computer Science, page 561-571. Springer, (2020)Learning Task-Specific and Shared Representations in Medical Imaging., , , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 374-383. Springer, (2019)Disentangling Human Error from Ground Truth in Segmentation of Medical Images., , , , , , , and . NeurIPS, (2020)Advancing Multimodal Medical Capabilities of Gemini., , , , , , , , , and 37 other author(s). CoRR, (2024)Disentangling Human Error from the Ground Truth in Segmentation of Medical Images., , , , , , , and . CoRR, (2020)Learning to Segment When Experts Disagree., , , , , , , and . MICCAI (1), volume 12261 of Lecture Notes in Computer Science, page 179-190. Springer, (2020)Multi-stage Prediction Networks for Data Harmonization., , , , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 411-419. Springer, (2019)Learning to Downsample for Segmentation of Ultra-High Resolution Images., , , , and . ICLR, OpenReview.net, (2022)