{"id":"2307.14433","title":"ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography","url":"https://codeofpaper.com/paper/2307.14433","arxiv_url":"https://arxiv.org/abs/2307.14433","published":"2023-07-26","code":"official","best":{"full_name":"hooman007/ProtoASNet","url":"https://github.com/hooman007/ProtoASNet","tier":"official","stars":13,"license":"MIT","framework":"PyTorch","language":"Python","last_commit":"2023-10-21T23:01:18"},"most_starred_community":null,"implementations":[{"full_name":"hooman007/ProtoASNet","url":"https://github.com/hooman007/ProtoASNet","tier":"official","stars":13,"license":"MIT","framework":"PyTorch","language":"Python","last_commit":"2023-10-21T23:01:18"},{"full_name":"Tugcannn/ProtoAsNet","url":"https://github.com/Tugcannn/ProtoAsNet","tier":"high_confidence_community","stars":0,"license":null,"framework":null,"language":"Python","last_commit":"2025-02-15T17:14:53"}],"possible_matches":0}