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Differentiable Deconvolution for Improved Stroke Perfusion Analysis

Mar 31, 2021
Ezequiel de la Rosa, David Robben, Diana M. Sima, Jan S. Kirschke, Bjoern Menze

* International Conference on Medical Image Computing and Computer-Assisted Intervention 2020 Oct 4 (pp. 593-602) 
* Accepted at MICCAI 2020 

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Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging

Dec 02, 2020
Abel Díaz Berenguer, Hichem Sahli, Boris Joukovsky, Maryna Kvasnytsia, Ine Dirks, Mitchel Alioscha-Perez, Nikos Deligiannis, Panagiotis Gonidakis, Sebastián Amador Sánchez, Redona Brahimetaj, Evgenia Papavasileiou, Jonathan Cheung-Wai Chana, Fei Li, Shangzhen Song, Yixin Yang, Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Lucas Fidon, Tom Vercauteren, David Robben, Arne Brys, Dirk Smeets, Bart Ilsen, Nico Buls, Nina Watté, Johan de Mey, Annemiek Snoeckx, Paul M. Parizel, Julien Guiot, Louis Deprez, Paul Meunier, Stefaan Gryspeerdt, Kristof De Smet, Bart Jansen, Jef Vandemeulebroucke

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Unsupervised 3D Brain Anomaly Detection

Oct 09, 2020
Jaime Simarro Viana, Ezequiel de la Rosa, Thijs Vande Vyvere, David Robben, Diana M. Sima

* Accepted at BrainLes Workshop in MICCAI 2020 

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AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning

Oct 04, 2020
Ezequiel de la Rosa, Diana M. Sima, Bjoern Menze, Jan S. Kirschke, David Robben

* Preprint submitted to Elsevier 

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Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients

Aug 21, 2020
Sofie Tilborghs, Ine Dirks, Lucas Fidon, Siri Willems, Tom Eelbode, Jeroen Bertels, Bart Ilsen, Arne Brys, Adriana Dubbeldam, Nico Buls, Panagiotis Gonidakis, Sebastián Amador Sánchez, Annemiek Snoeckx, Paul M. Parizel, Johan de Mey, Dirk Vandermeulen, Tom Vercauteren, David Robben, Dirk Smeets, Frederik Maes, Jef Vandemeulebroucke, Paul Suetens

* Updated acknowledgments 

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Improved inter-scanner MS lesion segmentation by adversarial training on longitudinal data

Feb 03, 2020
Mattias Billast, Maria Ines Meyer, Diana M. Sima, David Robben

* MICCAI BrainLes 2019 Workshop 

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Optimization with soft Dice can lead to a volumetric bias

Nov 06, 2019
Jeroen Bertels, David Robben, Dirk Vandermeulen, Paul Suetens

* BrainLes Workshop - MICCAI 2019 

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Detection of vertebral fractures in CT using 3D Convolutional Neural Networks

Nov 05, 2019
Joeri Nicolaes, Steven Raeymaeckers, David Robben, Guido Wilms, Dirk Vandermeulen, Cesar Libanati, Marc Debois

* 13 pages, 7 figures, pre-print MICCAI CSI 

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Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning

Dec 06, 2018
David Robben, Anna M. M. Boers, Henk A. Marquering, Lucianne L. C. M. Langezaal, Yvo B. W. E. M. Roos, Robert J. van Oostenbrugge, Wim H. van Zwam, Diederik W. J. Dippel, Charles B. L. M. Majoie, Aad van der Lugt, Robin Lemmens, Paul Suetens

* Submitted to Medical Image Analysis 

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Perfusion parameter estimation using neural networks and data augmentation

Oct 11, 2018
David Robben, Paul Suetens

* Presented at the MICCAI 2018 SWITCH workshop (16 September 2018, Granada, Spain) 

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