Karsten Roth - Google Scholar

Cited by

	All	Since 2015
Citations	321	319
h-index	6	6
i10-index	5	5

260

130

195

2015201620172018201920204 8 1 6 37 256

Co-authors

Joseph Paul CohenPostdoctoral Fellow, Mila, University of MontrealVerified email at iro.umontreal.ca
Lan DaoMedical Student, Université de MontréalVerified email at umontreal.ca
Björn OmmerProfessor for Scientific Computing, Heidelberg UniversityVerified email at uni-heidelberg.de
Timo MilbichHeidelberg UniversityVerified email at iwr.uni-heidelberg.de
Dr. Marzyeh GhassemiAssistant Professor, Computer Science/Medicine, University of Toronto & Vector InstituteVerified email at cs.toronto.edu
Tim Duong, PhD, Professor, Vice Chai...Stony Brook MedicineVerified email at stonybrook.edu
Winfried K. HensingerUniversity of SussexVerified email at sussex.ac.uk
David MurgiaPhD Researcher, Imperial College LondonVerified email at imperial.ac.uk
Joe RandallTU DelftVerified email at tudelft.nl
Sebastian WeidtUniversity of SussexVerified email at sussex.ac.uk
Biagio BrattoliPhD in Computer Vision, Heidelberg UniversityVerified email at iwr.uni-heidelberg.de
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Tomas NavickasPostDoc at Ion Quantum Technology Group, University of SussexVerified email at sussex.ac.uk
Tomasz KonopczyńskiHeidelberg UniversityVerified email at iwr.uni-heidelberg.de
Samarth SinhaUndergrad @ University of TorontoVerified email at mail.utoronto.ca
Homanga BharadhwajGraduate Student, Department of Computer Science; University of TorontoVerified email at cs.toronto.edu
Guido KanschatHeidelberg UniversityVerified email at uni-heidelberg.de
Prateek GuptaDPhil, University of OxfordVerified email at columbia.edu
Almas AbbasiAssistant Professor International Islamic University IslamabadVerified email at iiu.edu.pk

Karsten Roth

Master Student, Computer Vision Group, Heidelberg University

Verified email at stud.uni-heidelberg.de - Homepage

Computer Vision Deep Learning Machine Learning Artificial Intelligence Medical Image Analysis


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
COVID-19 image data collection JP Cohen, P Morrison, L Dao arXiv preprint arXiv:2003.11597, 2020	155	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	87	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	35	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	15	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	13	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	7	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	6	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	2	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	1	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		2020
Sharing Matters for Generalization in Deep Metric Learning T Milbich, K Roth, B Brattoli, B Ommer arXiv preprint arXiv:2004.05582, 2020		2020
Boosting Liver and Lesion Segmentation from CT Scans by Mask Mining K Roth, J Hesser, T Konopczyński arXiv preprint arXiv:1908.05062, 2019		2019

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