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Karsten Roth
Karsten Roth
PhD Student (ELLIS, IMPRS-IS), Explainable Machine Learning Group, University of Tuebingen
Verified email at uni-tuebingen.de - Homepage
Title
Cited by
Cited by
Year
Covid-19 image data collection: Prospective predictions are the future
JP Cohen, P Morrison, L Dao, K Roth, TQ Doung, M Ghassemi
Journal of Machine Learning for Biomedical Imaging (MELBA), 2020
603*2020
The liver tumor segmentation benchmark (lits)
P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ...
Medical Image Analysis, 102680, 2022
4842022
Predicting covid-19 pneumonia severity on chest x-ray with deep learning
JP Cohen, L Dao, K Roth, P Morrison, Y Bengio, AF Abbasi, B Shen, ...
Cureus 12 (7), 2020
1832020
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
K Roth, T Milbich, S Sinha, P Gupta, B Ommer, JP Cohen
ICML 2020, 2020
1022020
MIC: Mining Interclass Characteristics for Improved Metric Learning
K Roth, B Brattoli, B Ommer
Proceedings of the IEEE International Conference on Computer Vision, 8000-8009, 2019
712019
Towards total recall in industrial anomaly detection
K Roth, L Pemula, J Zepeda, B Schölkopf, T Brox, P Gehler
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
692022
Efficient preparation and detection of microwave dressed-state qubits and qutrits with trapped ions
J Randall, S Weidt, ED Standing, K Lake, SC Webster, DF Murgia, ...
Physical Review A 91 (1), 012322, 2015
532015
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
T Milbich, K Roth, H Bharadhwaj, S Sinha, Y Bengio, B Ommer, JP Cohen
ECCV 2020, 2020
412020
Pads: Policy-adapted sampling for visual similarity learning
K Roth, T Milbich, B Ommer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
322020
Simultaneous similarity-based self-distillation for deep metric learning
K Roth, T Milbich, B Ommer, JP Cohen, M Ghassemi
International Conference on Machine Learning, 9095-9106, 2021
22*2021
Sharing Matters for Generalization in Deep Metric Learning
T Milbich, K Roth, B Brattoli, B Ommer
TPAMI 2020, 2020
152020
Characterizing generalization under out-of-distribution shifts in deep metric learning
T Milbich, K Roth, S Sinha, L Schmidt, M Ghassemi, B Ommer
Advances in Neural Information Processing Systems 34, 25006-25018, 2021
112021
Liver lesion segmentation with slice-wise 2d tiramisu and tversky loss function
K Roth, T Konopczyński, J Hesser
arXiv preprint arXiv:1905.03639, 2019
112019
Improving the Fairness of Chest X-ray Classifiers
H Zhang, N Dullerud, K Roth, L Oakden-Rayner, S Pfohl, M Ghassemi
Conference on Health, Inference, and Learning, 204-233, 2022
62022
Non-isotropy Regularization for Proxy-based Deep Metric Learning
K Roth, O Vinyals, Z Akata
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
62022
Boosting Liver and Lesion Segmentation from CT Scans by Mask Mining
K Roth, J Hesser, T Konopczyński
Medical Imaging Workshop at NeurIPS 2019, 2019
4*2019
Uniform Priors for Data-Efficient Learning
S Sinha, K Roth, A Goyal, M Ghassemi, Z Akata, H Larochelle, A Garg
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
3*2022
Integrating Language Guidance into Vision-based Deep Metric Learning
K Roth, O Vinyals, Z Akata
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
32022
Diffuse domain method for needle insertion simulations
KI Jerg, RP Austermühl, K Roth, J Große Sundrup, G Kanschat, ...
International Journal for Numerical Methods in Biomedical Engineering 36 (9 …, 2020
32020
Is fairness only metric deep? evaluating and addressing subgroup gaps in deep metric learning
N Dullerud, K Roth, K Hamidieh, N Papernot, M Ghassemi
arXiv preprint arXiv:2203.12748, 2022
22022
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