| 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 | 157 | 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 | 76 | 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 | 26 | 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 | 25 | 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 | 20 | 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 | 9 | 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 | 7 | 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 | 6 | 2019 |
| TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets SX Rao, J Rausch, P Egger, C Zhang arXiv preprint arXiv:2201.01654, 2022 | 1 | 2022 |
| Xingu: Explaining critical geospatial predictions in weak supervision for climate finance D Dao, J Rausch, I Rott, C Zhang | 1 | 2020 |
| 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 | 1 | 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 | | 2023 |
| arXivDocs-weak J Rausch, O Martinez, F Bissig, C Zhang, S Feuerriegel ETH Zurich, 2023 | | 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 | | 2017 |
| An Efficient Event-Based Optical Flow Implementation in C/C++ and CUDA A Kosiorek, D Adrian, J Rausch, J Conradt | | |
