Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model

Alireza Ganjdanesh, Kamran Ghasedi, Liang Zhan, Weidong Cai 0001, Heng Huang. Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model. In Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I. Volume 12261 of Lecture Notes in Computer Science, pages 635-645, Springer, 2020. [doi]

@inproceedings{GanjdaneshGZCH20,
  title = {Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model},
  author = {Alireza Ganjdanesh and Kamran Ghasedi and Liang Zhan and Weidong Cai 0001 and Heng Huang},
  year = {2020},
  doi = {10.1007/978-3-030-59710-8_62},
  url = {https://doi.org/10.1007/978-3-030-59710-8_62},
  researchr = {https://researchr.org/publication/GanjdaneshGZCH20},
  cites = {0},
  citedby = {0},
  pages = {635-645},
  booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I},
  editor = {Anne L. Martel and Purang Abolmaesumi and Danail Stoyanov and Diana Mateus and Maria A. Zuluaga and S. Kevin Zhou and Daniel Racoceanu and Leo Joskowicz},
  volume = {12261},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-59710-8},
}