Hendrik Burwinkel

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 15

Top Topics

Convolutional Network

Decision Support

Matrix Completion

Top Venues

Artif. Intell. Medicine

Publications

Marcel Kollovieh, Matthias Keicher, Stephan Wunderlich, Hendrik Burwinkel, Thomas Wendler, Nassir Navab
U-PET: MRI-based Dementia Detection with Joint Generation of Synthetic FDG-PET Images. CoRR (2022)
Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Michael Trost, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi
Physics-aware learning and domain-specific loss design in ophthalmology. Medical Image Anal. 76 (2022)
Gerome Vivar, Anees Kazi, Hendrik Burwinkel, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification. Artif. Intell. Medicine 117 (2021)
Matthias Keicher, Hendrik Burwinkel, David Bani-Harouni, Magdalini Paschali, Tobias Czempiel, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction. CoRR (2021)
Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Ayse Mine Evren, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi
Domain-specific loss design for unsupervised physical training: A new approach to modeling medical ML solutions. CoRR (2020)
Hendrik Burwinkel, Matthias Keicher, David Bani-Harouni, Tobias Zellner, Florian Eyer, Nassir Navab, Seyed-Ahmad Ahmadi
Decision Support for Intoxication Prediction Using Graph Convolutional Networks. MICCAI (2) (2020)
Gerome Vivar, Anees Kazi, Hendrik Burwinkel, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC). CoRR (2020)
Hendrik Burwinkel, Matthias Keicher, David Bani-Harouni, Tobias Zellner, Florian Eyer, Nassir Navab, Seyed-Ahmad Ahmadi
Decision Support for Intoxication Prediction Using Graph Convolutional Networks. CoRR (2020)
Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Ayse Mine Evren, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi
Domain-Specific Loss Design for Unsupervised Physical Training: A New Approach to Modeling Medical ML Solutions. MICCAI (2) (2020)
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)
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)
Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi
Adaptive image-feature learning for disease classification using inductive graph networks. CoRR (2019)
Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortuem, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. CoRR (2019)
Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi
Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks. MICCAI (6) (2019)
Gerome Vivar, Hendrik Burwinkel, Anees Kazi, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets. CoRR (2019)