BibTeX record conf/micad2/BrochetLHTPGMGT22

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@inproceedings{DBLP:conf/micad2/BrochetLHTPGMGT22,
  author       = {Thibaud Brochet and
                  J{\'{e}}r{\^{o}}me Lapuyade{-}Lahorgue and
                  Alexandre Huat and
                  S{\'{e}}bastien Thureau and
                  David Pasquier and
                  Isabelle Gardin and
                  Romain Modzelewski and
                  David Gibon and
                  Juliette Thariat and
                  Vincent Gr{\'{e}}goire and
                  Pierre Vera and
                  Su Ruan},
  editor       = {Ruidan Su and
                  Yudong Zhang and
                  Han Liu and
                  Alejandro F. Frangi},
  title        = {Deep Learning Based Radiomics to Predict Treatment Response Using
                  Multi-datasets},
  booktitle    = {Proceedings of 2022 International Conference on Medical Imaging and
                  Computer-Aided Diagnosis, {MICAD} 2022, Leicester, UK, November 20-21,
                  2022},
  series       = {Lecture Notes in Electrical Engineering},
  volume       = {810},
  pages        = {431--440},
  publisher    = {Springer},
  year         = {2022},
  url          = {https://doi.org/10.1007/978-981-16-6775-6\_35},
  doi          = {10.1007/978-981-16-6775-6\_35},
  timestamp    = {Thu, 01 May 2025 20:25:11 +0200},
  biburl       = {https://dblp.org/rec/conf/micad2/BrochetLHTPGMGT22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}