Hendrik Burwinkel

According to our database, Hendrik Burwinkel authored at least 11 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Physics-aware learning and domain-specific loss design in ophthalmology.

Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Michael Trost, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi

Medical Image Anal., 2022

U-PET: MRI-based Dementia Detection with Joint Generation of Synthetic FDG-PET Images.

Marcel Kollovieh, Matthias Keicher, Stephan Wunderlich, Hendrik Burwinkel, Thomas Wendler, Nassir Navab

CoRR, 2022

2021

U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction.

Matthias Keicher, Hendrik Burwinkel, David Bani-Harouni, Magdalini Paschali, Tobias Czempiel, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler

CoRR, 2021

Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification.

Gerome Vivar, Anees Kazi, Hendrik Burwinkel, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi

Artif. Intell. Medicine, 2021

2020

Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC).

Gerome Vivar, Anees Kazi, Hendrik Burwinkel, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi

CoRR, 2020

Domain-Specific Loss Design for Unsupervised Physical Training: A New Approach to Modeling Medical ML Solutions.

Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Ayse Mine Evren, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Decision Support for Intoxication Prediction Using Graph Convolutional Networks.

Hendrik Burwinkel, Matthias Keicher, David Bani-Harouni, Tobias Zellner, Florian Eyer, Nassir Navab, Seyed-Ahmad Ahmadi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets.

Gerome Vivar, Hendrik Burwinkel, Anees Kazi, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi

CoRR, 2019

Graph Convolution Based Attention Model for Personalized Disease Prediction.

Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Benedikt Wiestler, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks.

Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction.

Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab

Proceedings of the Information Processing in Medical Imaging, 2019