Johannes Rausch
Johannes Rausch
PhD Student in Computer Science, ETH Zurich
Verified email at
Cited by
Cited by
A principled approach to data valuation for federated learning
T Wang, J Rausch, C Zhang, R Jia, D Song
Federated Learning: Privacy and Incentive, 153-167, 2020
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
Docparser: Hierarchical document structure parsing from renderings
J Rausch, O Martinez, F Bissig, C Zhang, S Feuerriegel
Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4328-4338, 2021
Ease. ml: a lifecycle management system for machine learning
L Aguilar Melgar, D Dao, S Gan, NM Gürel, N Hollenstein, J Jiang, ...
Proceedings of the Annual Conference on Innovative Data Systems Research …, 2021
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
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
Ease. ML: A lifecycle management system for MLDev and MLOps
L Aguilar, D Dao, S Gan, NM Gurel, N Hollenstein, J Jiang, B Karlas, ...
Proc. of Innovative Data Systems Research, 2021
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
TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets
SX Rao, J Rausch, P Egger, C Zhang
arXiv preprint arXiv:2201.01654, 2022
Xingu: Explaining critical geospatial predictions in weak supervision for climate finance
D Dao, J Rausch, I Rott, C Zhang
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
DSG: An End-to-End Document Structure Generator
J Rausch, G Rashiti, M Gusev, C Zhang, S Feuerriegel
2023 IEEE International Conference on Data Mining (ICDM), 518-527, 2023
J Rausch, O Martinez, F Bissig, C Zhang, S Feuerriegel
ETH Zurich, 2023
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
An Efficient Event-Based Optical Flow Implementation in C/C++ and CUDA
A Kosiorek, D Adrian, J Rausch, J Conradt
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