HendrikBurwinkel

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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Hendrik Burwinkel

Hendrik Burwinkel, M.Sc.
Position: PhD Candidate

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Chair for Computer Aided Medical Procedures & Augmented Reality
Fakultät für Informatik
Technische Universität München
Boltzmannstr. 3
85748 Garching b. München
Office: MI 03.13.040
Phone: +49 (89) 289-17082

Teaching

Publications

2020
H. Burwinkel, M. Keicher, D. Bani-Harouni, T. Zellner, F. Eyer, N. Navab, A. Ahmadi
Decision Support for Intoxication Prediction Using Graph Convolutional Networks
The first two authors contributed equally.
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, Peru, 2020 (pre-print version is available online at arXiv)
(bib)
H. Burwinkel, H. Matz, S. Saur, C. Hauger, A. Evren, N. Hirnschall, O. Findl, N. Navab, A. Ahmadi
Domain-specific loss design for unsupervised physical training: A new approach to modeling medical ML solutions
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, Peru, 2020 (pre-print version is available online at arXiv) (bib)
G. Vivar, A. Kazi, H. Burwinkel, A. Zwergal, N. Navab, A. Ahmadi
Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC)
The original version is available online at arXiv. (bib)
2019
A. Kazi, S. Shekarforoush, S. Krishna, H. Burwinkel, G. Vivar, B. Wiestler, K. Kortüm, A. Ahmadi, S. Albarqouni, N. Navab
Graph convolution based attention model for personalized disease prediction
22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, 2019 (bib)
H. Burwinkel, A. Kazi, G. Vivar, S. Albarqouni, G. Zahnd, N. Navab, A. Ahmadi
Adaptive image-feature learning for disease classification using inductive graph networks
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Shenzhen, China, 2019 (pre-print version is available online at arXiv) (bib)
A. Kazi, S. Shekarforoush, S. Krishna, H. Burwinkel, G. Vivar, K. Kortüm, A. Ahmadi, S. Albarqouni, N. Navab
InceptionGCN : Receptive Field Aware Graph Convolutional Network for Disease Prediction (Oral)
Proceedings of International Conference on Information Processing in Medical Imaging (IPMI), Hong Kong, 2019 (bib)
G. Vivar, H. Burwinkel, A. Kazi, A. Zwergal, N. Navab, A. Ahmadi
Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets
The original version is available online at arXiv. (bib)


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Room: MI 03.13.040
Telephone: +49 (89) 289-17082
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