Hendrik Burwinkel

发表

Graph Convolution Based Attention Model for Personalized Disease Prediction

Shadi Albarqouni, Seyed-Ahmad Ahmadi, Nassir Navab, 2019, MICCAI.

Adaptive image-feature learning for disease classification using inductive graph networks pdf

Nassir Navab, Shadi Albarqouni, Seyed-Ahmad Ahmadi, 2019, MICCAI.

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

Nassir Navab, Seyed-Ahmad Ahmadi, Gerome Vivar, 2019, ArXiv.

InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction

Shadi Albarqouni, Seyed-Ahmad Ahmadi, Nassir Navab, 2019, IPMI.

Decision Support for Intoxication Prediction Using Graph Convolutional Networks

Seyed-Ahmad Ahmadi, Nassir Navab, Hendrik Burwinkel, 2020, MICCAI.

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

Seyed-Ahmad Ahmadi, Nassir Navab, Gerome Vivar, 2020, Artif. Intell. Medicine.

Domain-specific loss design for unsupervised physical training: A new approach to modeling medical ML solutions pdf

Stefan Saur, Seyed-Ahmad Ahmadi, Nassir Navab, 2020, MICCAI.

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

Seyed-Ahmad Ahmadi, Nassir Navab, Gerome Vivar, 2021, Artif. Intell. Medicine.

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

Nassir Navab, Magdalini Paschali, Thomas Wendler, 2021, ArXiv.