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Multi-class semantic segmentation of pediatric chest radiographs.

, , , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113131E. SPIE, (2020)

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Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge., , , , , , , , , and 15 other author(s). CoRR, (2023)Self-Supervised Learning of Echocardiogram Videos Enables Data-Efficient Clinical Diagnosis., , , , and . CoRR, (2022)Multi-class semantic segmentation of pediatric chest radiographs., , , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113131E. SPIE, (2020)Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge., , , , , , , , , and 15 other author(s). CoRR, (2024)Avalanche decision schemes to improve pediatric rib fracture detection., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision., , , , , and . ISBI, page 1-5. IEEE, (2023)How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers?, , , , , , , , , and 5 other author(s). MICCAI (5), volume 14224 of Lecture Notes in Computer Science, page 663-673. Springer, (2023)Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study., , , , , , , and . DALI@MICCAI, volume 13567 of Lecture Notes in Computer Science, page 22-32. Springer, (2022)Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays., , , , , and . IEEE Trans. Medical Imaging, 42 (3): 750-761 (March 2023)Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays., , , , , and . CoRR, (2022)