%0 Thesis %1 phd/basesearch/Marini23 %A Marini, Niccolò %D 2023 %K dblp %T Deep learning methods to reduce the need for annotations for the extraction of knowledge from multimodal heterogeneous medical data.

@phdthesis{phd/basesearch/Marini23, added-at = {2023-10-29T00:00:00.000+0200}, author = {Marini, Niccolò}, biburl = {https://www.bibsonomy.org/bibtex/23c375b1922e240c3e84855270df5580b/dblp}, ee = {https://www.base-search.net/Record/6cfd2d8cc633c3f03e56aefeeccca5dd68ecf8ebc4a6a1f4c3b203a1b5fa4431}, interhash = {f146dea9b6c96d59c807cb8ebcb8e9f9}, intrahash = {3c375b1922e240c3e84855270df5580b}, keywords = {dblp}, note = {base-search.net (ftunivgeneve:oai:unige.ch:aou:unige:170757)}, school = {University of Geneva, Switzerland}, timestamp = {2024-04-09T09:24:49.000+0200}, title = {Deep learning methods to reduce the need for annotations for the extraction of knowledge from multimodal heterogeneous medical data.}, year = 2023 }