Interpretable 3D Multi-modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis

Hanem Ellethy, Viktor Vegh, Shekhar S. Chandra. Interpretable 3D Multi-modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis. In Tongliang Liu, Geoffrey I. Webb, Lin Yue, Dadong Wang, editors, AI 2023: Advances in Artificial Intelligence - 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, November 28 - December 1, 2023, Proceedings, Part I. Volume 14471 of Lecture Notes in Computer Science, pages 483-494, Springer, 2023. [doi]

@inproceedings{EllethyVC23,
  title = {Interpretable 3D Multi-modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis},
  author = {Hanem Ellethy and Viktor Vegh and Shekhar S. Chandra},
  year = {2023},
  doi = {10.1007/978-981-99-8388-9_39},
  url = {https://doi.org/10.1007/978-981-99-8388-9_39},
  researchr = {https://researchr.org/publication/EllethyVC23},
  cites = {0},
  citedby = {0},
  pages = {483-494},
  booktitle = {AI 2023: Advances in Artificial Intelligence - 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, November 28 - December 1, 2023, Proceedings, Part I},
  editor = {Tongliang Liu and Geoffrey I. Webb and Lin Yue and Dadong Wang},
  volume = {14471},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-99-8388-9},
}