%0 Conference Paper %1 conf/ml4h/RosnatiRMCG22 %A Rosnati, Margherita %A Ribeiro, Fabio De Sousa %A Monteiro, Miguel %A de Castro, Daniel Coelho %A Glocker, Ben %B ML4H@NeurIPS %D 2022 %E Parziale, Antonio %E Agrawal, Monica %E Joshi, Shalmali %E Chen, Irene Y. %E Tang, Shengpu %E Oala, Luis %E Subbaswamy, Adarsh %I PMLR %K dblp %P 290-310 %T Analysing the effectiveness of a generative model for semi-supervised medical image segmentation. %U http://dblp.uni-trier.de/db/conf/ml4h/ml4h2022.html#RosnatiRMCG22 %V 193

@inproceedings{conf/ml4h/RosnatiRMCG22, added-at = {2023-02-17T00:00:00.000+0100}, author = {Rosnati, Margherita and Ribeiro, Fabio De Sousa and Monteiro, Miguel and de Castro, Daniel Coelho and Glocker, Ben}, biburl = {https://www.bibsonomy.org/bibtex/246c9c95fd34b40d38004923a634a285f/dblp}, booktitle = {ML4H@NeurIPS}, crossref = {conf/ml4h/2022}, editor = {Parziale, Antonio and Agrawal, Monica and Joshi, Shalmali and Chen, Irene Y. and Tang, Shengpu and Oala, Luis and Subbaswamy, Adarsh}, ee = {https://proceedings.mlr.press/v193/rosnati22a.html}, interhash = {07c820ea319660751c144f4703ee6e38}, intrahash = {46c9c95fd34b40d38004923a634a285f}, keywords = {dblp}, pages = {290-310}, publisher = {PMLR}, series = {Proceedings of Machine Learning Research}, timestamp = {2024-04-09T23:47:46.000+0200}, title = {Analysing the effectiveness of a generative model for semi-supervised medical image segmentation.}, url = {http://dblp.uni-trier.de/db/conf/ml4h/ml4h2022.html#RosnatiRMCG22}, volume = 193, year = 2022 }