Johannes Rausch
Johannes Rausch
PhD Student in Computer Science, ETH Zurich
Verified email at inf.ethz.ch
Title
Cited by
Cited by
Year
Automated cardiac MR scar quantification in hypertrophic cardiomyopathy using deep convolutional neural networks
AS Fahmy, J Rausch, U Neisius, RH Chan, MS Maron, E Appelbaum, ...
JACC: Cardiovascular Imaging 11 (12), 1917-1918, 2018
302018
A principled approach to data valuation for federated learning
T Wang, J Rausch, C Zhang, R Jia, D Song
Federated Learning, 153-167, 2020
82020
Kinect-based correction of overexposure artifacts in knee imaging with C-Arm CT systems
J Rausch, A Maier, R Fahrig, JH Choi, W Hinshaw, F Schebesch, S Haase, ...
International journal of biomedical imaging 2016, 2016
82016
Geolabels: Towards efficient ecosystem monitoring using data programming on geospatial information
D Dao, J Rausch, C Zhang
2019 NeurIPS Workshop on Tackling Climate Change with AI, 2019
32019
Ease. ML: A Lifecycle Management System for Machine Learning
L Aguilar Melgar, D Dao, S Gan, NM Gürel, N Hollenstein, J Jiang, ...
11th Annual Conference on Innovative Data Systems Research (CIDR 2021)(virtual), 2021
22021
Docparser: Hierarchical structure parsing of document renderings
J Rausch, O Martinez, F Bissig, C Zhang, S Feuerriegel
arXiv preprint arXiv:1911.01702, 2019
22019
Online Active Model Selection for Pre-trained Classifiers
MR Karimi, NM Gürel, B Karlaš, J Rausch, C Zhang, A Krause
International Conference on Artificial Intelligence and Statistics, 307-315, 2021
12021
Fully automated quantification of cardiac MR LV mass and scar in hypertrophic cardiomyopathy using deep learning
AS Fahmy, J Rausch, U Neisiusa, RH Chan, MS Maron, E Appelbaum, ...
Circulation 138 (Suppl_1), A15085-A15085, 2018
12018
DocParser: Hierarchical Document Structure Parsing from Renderings
J Rausch, O Martinez, F Bissig, C Zhang, S Feuerriegel
35th AAAI Conference on Artificial Intelligence (AAAI-21)(virtual), 2021
2021
Fully automated left ventricle scar quantification with deep learning
J Rausch, B Menze, R Chang, J Jang, E Applebaum, R Nezafat
Proceedings of the 25th Annual Meeting of ISMRM Hawaii USA, 2017
2017
XINGU: EXPLAINING CRITICAL GEOSPATIAL PREDIC-TIONS IN WEAK SUPERVISION FOR CLIMATE FINANCE
D Dao, J Rausch, I Rott, C Zhang
An Efficient Event-Based Optical Flow Implementation in C/C++ and CUDA
A Kosiorek, D Adrian, J Rausch, J Conradt
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Articles 1–12