Hendrik Burwinkel

15 papers Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Physics-aware learning and domain-specific loss design in ophthalmology. Medical Image Anal. Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Michael Trost, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi
2022	J	`jnl`	U-PET: MRI-based Dementia Detection with Joint Generation of Synthetic FDG-PET Images. CoRR Marcel Kollovieh, Matthias Keicher, Stephan Wunderlich, Hendrik Burwinkel, Thomas Wendler, Nassir Navab
2021	J	`jnl`	Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification. Artif. Intell. Medicine Gerome Vivar, Anees Kazi, Hendrik Burwinkel, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
2021	J	`jnl`	U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction. CoRR Matthias Keicher, Hendrik Burwinkel, David Bani-Harouni, Magdalini Paschali, Tobias Czempiel, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler
2020	—	`conf`	Decision Support for Intoxication Prediction Using Graph Convolutional Networks. MICCAI (2) Hendrik Burwinkel, Matthias Keicher, David Bani-Harouni, Tobias Zellner, Florian Eyer, Nassir Navab, Seyed-Ahmad Ahmadi
2020	J	`jnl`	Decision Support for Intoxication Prediction Using Graph Convolutional Networks. CoRR Hendrik Burwinkel, Matthias Keicher, David Bani-Harouni, Tobias Zellner, Florian Eyer, Nassir Navab, Seyed-Ahmad Ahmadi
2020	—	`conf`	Domain-Specific Loss Design for Unsupervised Physical Training: A New Approach to Modeling Medical ML Solutions. MICCAI (2) Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Ayse Mine Evren, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi
2020	J	`jnl`	Domain-specific loss design for unsupervised physical training: A new approach to modeling medical ML solutions. CoRR Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Ayse Mine Evren, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi
2020	J	`jnl`	Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC). CoRR Gerome Vivar, Anees Kazi, Hendrik Burwinkel, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi
2019	—	`conf`	Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks. MICCAI (6) Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi
2019	J	`jnl`	Adaptive image-feature learning for disease classification using inductive graph networks. CoRR Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi
2019	—	`conf`	Graph Convolution Based Attention Model for Personalized Disease Prediction. MICCAI (4) Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Benedikt Wiestler, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
2019	—	`conf`	InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. IPMI Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
2019	J	`jnl`	InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. CoRR Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten U. Kortuem, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
2019	J	`jnl`	Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets. CoRR Gerome Vivar, Hendrik Burwinkel, Anees Kazi, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi