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ORCIDKarsten Kortüm
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2020 – today
- 2020
[j2]Olle G. Holmberg, Niklas D. Köhler, Thiago Martins, Jakob Siedlecki
, Tina Herold, Leonie Keidel, Ben Asani, Johannes Schiefelbein, Siegfried Priglinger, Karsten U. Kortuem, Fabian J. Theis:
Self-supervised retinal thickness prediction enables deep learning from unlabelled data to boost classification of diabetic retinopathy. Nat. Mach. Intell. 2(11): 719-726 (2020)
2010 – 2019
- 2019
- [c4]Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab:
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. IPMI 2019: 73-85 - [c3]Anees Kazi, S. Arvind Krishna, Shayan Shekarforoush, Karsten U. Kortuem, Shadi Albarqouni, Nassir Navab:
Self-Attention Equipped Graph Convolutions for Disease Prediction. ISBI 2019: 1896-1899 - [c2]Ilja Manakov, Markus Rohm, Christoph Kern, Benedikt Schworm, Karsten U. Kortuem, Volker Tresp:
Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation. DART/MIL3ID@MICCAI 2019: 3-10 - [c1]Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Benedikt Wiestler, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab:
Graph Convolution Based Attention Model for Personalized Disease Prediction. MICCAI (4) 2019: 122-130 - [i4]Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten U. Kortuem, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab:
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. CoRR abs/1903.04233 (2019) - [i3]Ilja Manakov, Markus Rohm, Christoph Kern, Benedikt Schworm, Karsten U. Kortuem, Volker Tresp:
Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation. CoRR abs/1910.02702 (2019) - 2018
- [i2]Anees Kazi, Shadi Albarqouni, Karsten U. Kortuem, Nassir Navab:
Multi Layered-Parallel Graph Convolutional Network (ML-PGCN) for Disease Prediction. CoRR abs/1804.10776 (2018) - [i1]Anees Kazi, S. Arvind Krishna, Shayan Shekarforoush, Karsten U. Kortuem, Shadi Albarqouni, Nassir Navab:
Self-Attention Equipped Graph Convolutions for Disease Prediction. CoRR abs/1812.09954 (2018) - 2016
- [j1]Karsten Kortüm, Christoph Hirneiß, Michael Müller, Alexander Babenko, Anselm Kampik, Thomas C. Kreutzer:
The influence of a specific ophthalmological electronic health record on ICD-10 coding. BMC Medical Informatics Decis. Mak. 16: 100 (2016)
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