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Improving the phenotype risk score as a scalable approach to identifying patients with Mendelian disease.

, , , , , , , , , and . J. Am. Medical Informatics Assoc., 26 (12): 1437-1447 (2019)

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Improving the phenotype risk score as a scalable approach to identifying patients with Mendelian disease., , , , , , , , , and . J. Am. Medical Informatics Assoc., 26 (12): 1437-1447 (2019)AI-SAM: Automatic and Interactive Segment Anything Model., , , , and . CoRR, (2023)AI-PLAX: AI-based placental assessment and examination using photos., , , , , , and . Comput. Medical Imaging Graph., (2020)PlacentaNet: Automatic Morphological Characterization of Placenta Photos with Deep Learning., , , , , and . MICCAI (1), volume 11764 of Lecture Notes in Computer Science, page 487-495. Springer, (2019)Multi-region saliency-aware learning for cross-domain placenta image segmentation., , , , , and . Pattern Recognit. Lett., (2020)Enhancing Automatic Placenta Analysis Through Distributional Feature Recomposition in Vision-Language Contrastive Learning., , , , , , , , and . MICCAI (6), volume 14225 of Lecture Notes in Computer Science, page 116-126. Springer, (2023)Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images., , , , , and . MICCAI (3), volume 13433 of Lecture Notes in Computer Science, page 707-716. Springer, (2022)