David Robben

DeepVoxNet2: Yet another CNN framework

Nov 17, 2022
Jeroen Bertels, David Robben, Robin Lemmens, Dirk Vandermeulen

* 15 pages, part of PhD thesis KU Leuven 2022 "Understanding Final Infarct Prediction in Acute Ischemic Stroke Using Convolutional Neural Networks"

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Convolutional neural networks for medical image segmentation

Nov 17, 2022
Jeroen Bertels, David Robben, Robin Lemmens, Dirk Vandermeulen

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* 10 pages, 6 figures, part of PhD thesis KU Leuven 2022 "Understanding Final Infarct Prediction in Acute Ischemic Stroke Using Convolutional Neural Networks"

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Final infarct prediction in acute ischemic stroke

Nov 09, 2022
Jeroen Bertels, David Robben, Dirk Vandermeulen, Robin Lemmens

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* 17 pages, 5 figures, part of PhD thesis KU Leuven 2022 "Understanding Final Infarct Prediction in Acute Ischemic Stroke Using Convolutional Neural Networks"

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Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty

Nov 08, 2022
Jeroen Bertels, David Robben, Dirk Vandermeulen, Paul Suetens

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* Elsevier Medical Image Analysis, Volume 61, January 2021, 101833
* 18 pages, 7 figures, 3 tables, published in Elsevier Medical Image Analysis (2021)

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The Dice loss in the context of missing or empty labels: Introducing $Φ$ and $ε$

Jul 19, 2022
Sofie Tilborghs, Jeroen Bertels, David Robben, Dirk Vandermeulen, Frederik Maes

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* 8 pages, 3 figures, 1 table, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2022

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ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset

Jun 14, 2022
Moritz Roman Hernandez Petzsche, Ezequiel de la Rosa, Uta Hanning, Roland Wiest, Waldo Enrique Valenzuela Pinilla, Mauricio Reyes, Maria Ines Meyer, Sook-Lei Liew, Florian Kofler, Ivan Ezhov, David Robben, Alexander Hutton, Tassilo Friedrich, Teresa Zarth, Johannes Bürkle, The Anh Baran, Bjoern Menze, Gabriel Broocks, Lukas Meyer, Claus Zimmer, Tobias Boeckh-Behrens, Maria Berndt, Benno Ikenberg, Benedikt Wiestler, Jan S. Kirschke

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* 12 pages, 2 figures

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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

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

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