Karsten Roth
Karsten Roth
Master Student, Computer Vision Group, Heidelberg University
Verified email at stud.uni-heidelberg.de - Homepage
Cited by
Cited by
COVID-19 image data collection
JP Cohen, P Morrison, L Dao
arXiv preprint arXiv:2003.11597, 2020
The liver tumor segmentation benchmark (lits)
P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ...
arXiv preprint arXiv:1901.04056, 2019
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
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
Predicting covid-19 pneumonia severity on chest x-ray with deep learning
JP Cohen, L Dao, P Morrison, K Roth, Y Bengio, B Shen, A Abbasi, ...
arXiv preprint arXiv:2005.11856, 2020
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
K Roth, T Milbich, S Sinha, P Gupta, B Ommer, JP Cohen
arXiv preprint arXiv:2002.08473, 2020
Liver lesion segmentation with slice-wise 2d tiramisu and tversky loss function
K Roth, T Konopczyński, J Hesser
arXiv preprint arXiv:1905.03639, 2019
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
T Milbich, K Roth, H Bharadhwaj, S Sinha, Y Bengio, B Ommer, JP Cohen
arXiv preprint arXiv:2004.13458, 2020
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
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, e3377, 2020
Sharing Matters for Generalization in Deep Metric Learning
T Milbich, K Roth, B Brattoli, B Ommer
arXiv preprint arXiv:2004.05582, 2020
Boosting Liver and Lesion Segmentation from CT Scans by Mask Mining
K Roth, J Hesser, T Konopczyński
arXiv preprint arXiv:1908.05062, 2019
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