Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation
- DOI
- 10.1007/978-3-030-00928-1_61
- Published
- 2018
- Container
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-030-00928-1_61,
title = {Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation},
author = {Jialei Chen and Yujia Xie and Kan Wang and Zih Huei Wang and Geet Lahoti and Chuck Zhang and Mani A. Vannan and Ben Wang and Zhen Qian},
year = {2018},
journal = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-030-00928-1_61},
url = {https://doi.org/10.1007/978-3-030-00928-1_61}
}RIS
TY - JOUR TI - Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation AU - Jialei Chen AU - Yujia Xie AU - Kan Wang AU - Zih Huei Wang AU - Geet Lahoti AU - Chuck Zhang AU - Mani A. Vannan AU - Ben Wang AU - Zhen Qian PY - 2018 JO - Lecture Notes in Computer Science DO - 10.1007/978-3-030-00928-1_61 UR - https://doi.org/10.1007/978-3-030-00928-1_61 ER -
APA
Chen, J., Xie, Y., Wang, K., Wang, Z. H., Lahoti, G., Zhang, C., Vannan, M. A., Wang, B., & Qian, Z. (2018). Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-00928-1_61
Source records
- crossref · retrieved 2026-11-09T05:42:43.152Z