Yang, Jiancheng2025-01-302025-01-302025-01-302024-07-1910.1038/s43588-024-00658-9https://infoscience.epfl.ch/handle/20.500.14299/245959WOS:00127227770000339030385To address the challenge of pretraining foundational models with large datasets, a multi-task approach is proposed, thus helping to overcome the data scarcity problem in biomedical imaging.EnglishScience & TechnologyTechnologyMulti-task learning for medical foundation modelstext::journal::journal article::research article