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T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training., , , , , , , , , and . CoRR, (2023)Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images., , , and . CoRR, (2023)Advancing digital health: FDA innovation during COVID-19., , and . npj Digit. Medicine, (2020)3d Pathological Signs Detection And Scoring On CPA CT Lung Scans., , , , and . ISBI, page 82-85. IEEE, (2021)M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization., , , , , , , and . MICCAI (1), volume 14220 of Lecture Notes in Computer Science, page 637-647. Springer, (2023)SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A Novel Approach To Train Convolutional Neural Networks On Lung CT Scans Using Binary Labels Only., , , , , and . ISBI, page 298-302. IEEE, (2019)G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training., , , , , and . CoRR, (2023)Duke Surgery Research Central: an open-source Web application for the improvement of compliance with research regulation., , , , , , , , and . BMC Medical Informatics Decis. Mak., (2006)DADOS-Prospective: an open source application for Web-based prospective data collection., , , , , , , and . Source Code for Biology and Medicine, (2006)Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement., , , , , and . CoRR, (2024)