%0 Conference Paper %1 conf/miccai/RachmadiHMWMS21 %A Rachmadi, Muhammad Febrian %A del C. Valdés Hernández, Maria %A Maulana, Rizal %A Wardlaw, Joanna M. %A Makin, Stephen D. %A Skibbe, Henrik %B PRIME@MICCAI %D 2021 %E Rekik, Islem %E Adeli, Ehsan %E Park, Sang Hyun %E Schnabel, Julia A. %I Springer %K dblp %P 168-180 %T Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution. %U http://dblp.uni-trier.de/db/conf/miccai/prime2021.html#RachmadiHMWMS21 %V 12928 %@ 978-3-030-87602-9

@inproceedings{conf/miccai/RachmadiHMWMS21, added-at = {2022-10-02T00:00:00.000+0200}, author = {Rachmadi, Muhammad Febrian and del C. Valdés Hernández, Maria and Maulana, Rizal and Wardlaw, Joanna M. and Makin, Stephen D. and Skibbe, Henrik}, biburl = {https://www.bibsonomy.org/bibtex/289157fd6f5b3c480e2e4d82a03eb219a/dblp}, booktitle = {PRIME@MICCAI}, crossref = {conf/miccai/2021prime}, editor = {Rekik, Islem and Adeli, Ehsan and Park, Sang Hyun and Schnabel, Julia A.}, ee = {https://doi.org/10.1007/978-3-030-87602-9_16}, interhash = {c2d3ad9faa5e4fc0a47fa9a951e972c6}, intrahash = {89157fd6f5b3c480e2e4d82a03eb219a}, isbn = {978-3-030-87602-9}, keywords = {dblp}, pages = {168-180}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-04-09T22:24:57.000+0200}, title = {Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution.}, url = {http://dblp.uni-trier.de/db/conf/miccai/prime2021.html#RachmadiHMWMS21}, volume = 12928, year = 2021 }