{"id":"2307.02798","title":"Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive Learning","url":"https://codeofpaper.com/paper/2307.02798","arxiv_url":"https://arxiv.org/abs/2307.02798","published":"2023-07-06","code":"official","best":{"full_name":"hritam-98/GFDA-disentangled","url":"https://github.com/hritam-98/GFDA-disentangled","tier":"official","stars":22,"license":null,"framework":null,"language":"Jupyter Notebook","last_commit":"2024-09-20T18:29:59"},"most_starred_community":null,"implementations":[{"full_name":"hritam-98/GFDA-disentangled","url":"https://github.com/hritam-98/GFDA-disentangled","tier":"official","stars":22,"license":null,"framework":null,"language":"Jupyter Notebook","last_commit":"2024-09-20T18:29:59"}],"possible_matches":1}