| 2020 |
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G. Vivar, , A. Zwergal, N. Navab, A. Ahmadi
Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time
23nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, 2020
(bib)
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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)
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| 2019 |
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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)
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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)
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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)
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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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| 2018 |
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G. Vivar, A. Zwergal, N. Navab, A. Ahmadi
Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion.
Proceedings of MICCAI Workshop on Graphs in Biomedical Image Analysis, Granada, Spain, September 2018.
(bib)
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