Towards Automatic Diagnosis from Multi-modal Medical Data

Jiang Tian, Cheng Zhong, Zhongchao Shi, Feiyu Xu. Towards Automatic Diagnosis from Multi-modal Medical Data. In Kenji Suzuki, Mauricio Reyes 0001, Tanveer F. Syeda-Mahmood, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi, editors, Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Volume 11797 of Lecture Notes in Computer Science, pages 67-74, Springer, 2019. [doi]

@inproceedings{TianZSX19,
  title = {Towards Automatic Diagnosis from Multi-modal Medical Data},
  author = {Jiang Tian and Cheng Zhong and Zhongchao Shi and Feiyu Xu},
  year = {2019},
  doi = {10.1007/978-3-030-33850-3_8},
  url = {https://doi.org/10.1007/978-3-030-33850-3_8},
  researchr = {https://researchr.org/publication/TianZSX19},
  cites = {0},
  citedby = {0},
  pages = {67-74},
  booktitle = {Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings},
  editor = {Kenji Suzuki and Mauricio Reyes 0001 and Tanveer F. Syeda-Mahmood and Ben Glocker and Roland Wiest and Yaniv Gur and Hayit Greenspan and Anant Madabhushi},
  volume = {11797},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-33850-3},
}