Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape Representations
- DOI
- 10.3389/fneur.2018.00989
- Published
- 2018-11-26
- Container
- Frontiers in Neurology
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fneur.2018.00989,
title = {Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape Representations},
author = {Christian Lucas and André Kemmling and Nassim Bouteldja and Linda F. Aulmann and Amir Madany Mamlouk and Mattias P. Heinrich},
year = {2018},
journal = {Frontiers in Neurology},
doi = {10.3389/fneur.2018.00989},
url = {https://doi.org/10.3389/fneur.2018.00989}
}RIS
TY - JOUR TI - Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape Representations AU - Christian Lucas AU - André Kemmling AU - Nassim Bouteldja AU - Linda F. Aulmann AU - Amir Madany Mamlouk AU - Mattias P. Heinrich PY - 2018 JO - Frontiers in Neurology DO - 10.3389/fneur.2018.00989 UR - https://doi.org/10.3389/fneur.2018.00989 ER -
APA
Lucas, C., Kemmling, A., Bouteldja, N., Aulmann, L. F., Mamlouk, A. M., & Heinrich, M. P. (2018). Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape Representations. Frontiers in Neurology. https://doi.org/10.3389/fneur.2018.00989
Source records
- crossref · retrieved 2026-09-25T13:48:29.038Z