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Picture for Matthias Keicher

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


Jul 29, 2021
Matthias Keicher, Hendrik Burwinkel, David Bani-Harouni, Magdalini Paschali, Tobias Czempiel, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler

* 18 pages, 5 figures, submitted to Medical Image Analysis 

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GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images


Mar 19, 2021
Aadhithya Sankar, Matthias Keicher, Rami Eisawy, Abhijeet Parida, Franz Pfister, Seong Tae Kim, Nassir Navab

* 12 pages, 7 figures 

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Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs


Mar 12, 2021
Seong Tae Kim, Leili Goli, Magdalini Paschali, Ashkan Khakzar, Matthias Keicher, Tobias Czempiel, Egon Burian, Rickmer Braren, Nassir Navab, Thomas Wendler

* 10 pages, 2 figures 

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Continual Class Incremental Learning for CT Thoracic Segmentation


Aug 12, 2020
Abdelrahman Elskhawy, Aneta Lisowska, Matthias Keicher, Josep Henry, Paul Thomson, Nassir Navab


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Decision Support for Intoxication Prediction Using Graph Convolutional Networks


May 02, 2020
Hendrik Burwinkel, Matthias Keicher, David Bani-Harouni, Tobias Zellner, Florian Eyer, Nassir Navab, Seyed-Ahmad Ahmadi

* 10 pages, 3 figures 

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TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks


Mar 24, 2020
Tobias Czempiel, Magdalini Paschali, Matthias Keicher, Walter Simson, Hubertus Feussner, Seong Tae Kim, Nassir Navab

* 10 pages, 2 figures 

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