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


May 14, 2020
Gerome Vivar, Anees Kazi, Hendrik Burwinkel, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi


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


May 09, 2020
Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Ayse Mine Evren, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi

* 11 pages, 2 figures 

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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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Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time


Mar 31, 2020
Gerome Vivar, Kamilia Mullakaeva, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi


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Latent Patient Network Learning for Automatic Diagnosis


Mar 27, 2020
Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael Bronstein


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


May 08, 2019
Gerome Vivar, Hendrik Burwinkel, Anees Kazi, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi

* 9 pages, 3 figures 

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


May 08, 2019
Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi

* 9 pages, 2 figures 

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InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction


Mar 11, 2019
Anees Kazi, Shayan shekarforoush, S. Arvind krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortuem, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab


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Stabilizing Inputs to Approximated Nonlinear Functions for Inference with Homomorphic Encryption in Deep Neural Networks


Feb 05, 2019
Moustafa AboulAtta, Matthias Ossadnik, Seyed-Ahmad Ahmadi

* 8 pages, 5 figures 

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TOMAAT: volumetric medical image analysis as a cloud service


Apr 25, 2018
Fausto Milletari, Johann Frei, Seyed-Ahmad Ahmadi


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Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion


Mar 30, 2018
Gerome Vivar, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi


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Classification of sparsely labeled spatio-temporal data through semi-supervised adversarial learning


Jan 29, 2018
Atanas Mirchev, Seyed-Ahmad Ahmadi


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Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks


Feb 23, 2017
Patrick Ferdinand Christ, Florian Ettlinger, Felix Grün, Mohamed Ezzeldin A. Elshaera, Jana Lipkova, Sebastian Schlecht, Freba Ahmaddy, Sunil Tatavarty, Marc Bickel, Patrick Bilic, Markus Rempfler, Felix Hofmann, Melvin D Anastasi, Seyed-Ahmad Ahmadi, Georgios Kaissis, Julian Holch, Wieland Sommer, Rickmer Braren, Volker Heinemann, Bjoern Menze

* Under Review 

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SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks


Feb 20, 2017
Patrick Ferdinand Christ, Florian Ettlinger, Georgios Kaissis, Sebastian Schlecht, Freba Ahmaddy, Felix Grün, Alexander Valentinitsch, Seyed-Ahmad Ahmadi, Rickmer Braren, Bjoern Menze

* Accepted at IEEE ISBI 2017 

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Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields


Oct 07, 2016
Patrick Ferdinand Christ, Mohamed Ezzeldin A. Elshaer, Florian Ettlinger, Sunil Tatavarty, Marc Bickel, Patrick Bilic, Markus Rempfler, Marco Armbruster, Felix Hofmann, Melvin D'Anastasi, Wieland H. Sommer, Seyed-Ahmad Ahmadi, Bjoern H. Menze

* Accepted at MICCAI 2016. Source code available on https://github.com/IBBM/Cascaded-FCN 

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V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation


Jun 15, 2016
Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi


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Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound


Jan 31, 2016
Fausto Milletari, Seyed-Ahmad Ahmadi, Christine Kroll, Annika Plate, Verena Rozanski, Juliana Maiostre, Johannes Levin, Olaf Dietrich, Birgit Ertl-Wagner, Kai Bötzel, Nassir Navab


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