Enhancing Lesion Segmentation in the BONBID-HIE Challenge: An Ensemble Strategy. Kazemi, E. S., Toubal, I. E., Rahmon, G., Kucukpinar, T., Almansour, M., Ho, M., & Palaniappan, K. In Bao, R., Grant, E., Kirkpatrick, A., Wachs, J. P., & Ou, Y., editors, AI for Brain Lesion Detection and Trauma Video Action Recognition - First BONBID-HIE Lesion Segmentation Challenge and First Trauma Thompson Challenge, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12-16, 2023, Proceedings, volume 14567, of Lecture Notes in Computer Science, pages 14–22, 2023. Springer.
Enhancing Lesion Segmentation in the BONBID-HIE Challenge: An Ensemble Strategy [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/miccai/KazemiTRKAHP23,
  author       = {Elham Soltani Kazemi and
                  Imad Eddine Toubal and
                  Gani Rahmon and
                  Taci Kucukpinar and
                  Mohamed Almansour and
                  Mai{-}Lan Ho and
                  Kannappan Palaniappan},
  editor       = {Rina Bao and
                  Ellen Grant and
                  Andrew Kirkpatrick and
                  Juan P. Wachs and
                  Yangming Ou},
  title        = {Enhancing Lesion Segmentation in the {BONBID-HIE} Challenge: An Ensemble
                  Strategy},
  booktitle    = {{AI} for Brain Lesion Detection and Trauma Video Action Recognition
                  - First {BONBID-HIE} Lesion Segmentation Challenge and First Trauma
                  Thompson Challenge, Held in Conjunction with {MICCAI} 2023, Vancouver,
                  BC, Canada, October 12-16, 2023, Proceedings},
  series       = {Lecture Notes in Computer Science},
  volume       = {14567},
  pages        = {14--22},
  publisher    = {Springer},
  year         = {2023},
  url          = {https://doi.org/10.1007/978-3-031-71626-3\_2},
  doi          = {10.1007/978-3-031-71626-3\_2},
  timestamp    = {Wed, 30 Oct 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/miccai/KazemiTRKAHP23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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