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Deep learning methods to reduce the need for annotations for the extraction of knowledge from multimodal heterogeneous medical data

Niccolò Marini. Deep learning methods to reduce the need for annotations for the extraction of knowledge from multimodal heterogeneous medical data. PhD thesis, University of Geneva, Switzerland, 2023. [doi]

@phdthesis{basesearch-16271,
  title = {Deep learning methods to reduce the need for annotations for the extraction of knowledge from multimodal heterogeneous medical data},
  author = {Niccolò Marini},
  year = {2023},
  url = {https://www.base-search.net/Record/6cfd2d8cc633c3f03e56aefeeccca5dd68ecf8ebc4a6a1f4c3b203a1b5fa4431},
  note = {base-search.net (ftunivgeneve:oai:unige.ch:aou:unige:170757)},
  researchr = {https://researchr.org/publication/basesearch-16271},
  cites = {0},
  citedby = {0},
  school = {University of Geneva, Switzerland},
}
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