CMIR: A Unified Cross-Modality Framework for Preoperative Accurate Prediction of Microvascular Invasion in Hepatocellular Carcinoma

Jing Liu, Yang Ai, Chao Huang, Fang Wang, Yingying Xu, Titinunt Kitrungrotsakul, Jing Ma, Lanfen Lin, Yen-Wei Chen, Jingsong Li. CMIR: A Unified Cross-Modality Framework for Preoperative Accurate Prediction of Microvascular Invasion in Hepatocellular Carcinoma. In Jen Bichel-Findlay, Paula Otero, Philip Scott, Elaine Huesing, editors, MEDINFO 2023 - The Future Is Accessible - Proceedings of the 19th World Congress on Medical and Health Informatics, Sydney, NSW, Australia, 8-12 July 2023. Volume 310 of Studies in Health Technology and Informatics, pages 936-940, IOS Press, 2023. [doi]

@inproceedings{LiuAHWXKMLCL23,
  title = {CMIR: A Unified Cross-Modality Framework for Preoperative Accurate Prediction of Microvascular Invasion in Hepatocellular Carcinoma},
  author = {Jing Liu and Yang Ai and Chao Huang and Fang Wang and Yingying Xu and Titinunt Kitrungrotsakul and Jing Ma and Lanfen Lin and Yen-Wei Chen and Jingsong Li},
  year = {2023},
  doi = {10.3233/SHTI231102},
  url = {https://doi.org/10.3233/SHTI231102},
  researchr = {https://researchr.org/publication/LiuAHWXKMLCL23},
  cites = {0},
  citedby = {0},
  pages = {936-940},
  booktitle = {MEDINFO 2023 - The Future Is Accessible - Proceedings of the 19th World Congress on Medical and Health Informatics, Sydney, NSW, Australia, 8-12 July 2023},
  editor = {Jen Bichel-Findlay and Paula Otero and Philip Scott and Elaine Huesing},
  volume = {310},
  series = {Studies in Health Technology and Informatics},
  publisher = {IOS Press},
  isbn = {978-1-64368-457-4},
}