David Robben

Icometrix (Belgium) — Belgium

Medicine · Health Sciences

15h-index1.6kcitations60works3.02yr avg
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Research Topics

Acute Ischemic Stroke Management(25), Cerebrovascular and Carotid Artery Diseases(16), Brain Tumor Detection and Classification(15), Medical Image Segmentation Techniques(12), Advanced X-ray and CT Imaging(12)

Publications60 total

ISLES'24 : a real-world longitudinal multimodal stroke dataset
Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences)·2025
ISLES'24 - A Real-World Longitudinal Multimodal Stroke Dataset
TU/e Research Portal·2025Open Access
DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge
Nature Communications·2025· 4 citedOpen Access
ISLES'24 - A Real-World Longitudinal Multimodal Stroke Dataset
arXiv (Cornell University)·2024· 2 citedOpen Access
ISLES'24: Final Infarct Prediction with Multimodal Imaging and Clinical Data. Where Do We Stand?
arXiv (Cornell University)·2024· 4 citedOpen Access
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge
arXiv (Cornell University)·2024· 8 citedOpen Access
Detecting CTP truncation artifacts in acute stroke imaging from the arterial input and the vascular output functions
PLoS ONE·2023· 6 citedOpen Access
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset
Scientific Data·2022· 150 citedOpen Access
Convolutional neural networks for medical image segmentation
arXiv (Cornell University)·2022· 5 citedOpen Access
DeepVoxNet2: Yet another CNN framework
arXiv (Cornell University)·2022· 2 citedOpen Access
Final infarct prediction in acute ischemic stroke
arXiv (Cornell University)·2022Open Access
The Dice loss in the context of missing or empty labels: Introducing $Φ$ and $ε$
arXiv (Cornell University)·2022Open Access
Detecting CTP Truncation Artifacts in Acute Stroke Imaging from the Arterial Input and the Vascular Output Functions
2022· 1 citedOpen Access
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset
Zurich Open Repository and Archive (University of Zurich)·2022· 11 citedOpen Access
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging
Zenodo (CERN European Organization for Nuclear Research)·2022· 6 citedOpen Access
The Dice Loss in the Context of Missing or Empty Labels: Introducing $$\varPhi $$ and $$\epsilon $$
Lecture notes in computer science·2022· 6 citedOpen Access
Prediction of Stroke Infarct Growth Rates by Baseline Perfusion Imaging
Stroke·2021· 38 citedOpen Access
AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning
Medical Image Analysis·2021· 2 citedOpen Access
Predicting Infarct Core From Computed Tomography Perfusion in Acute Ischemia With Machine Learning: Lessons From the ISLES Challenge
Stroke·2021· 82 citedOpen Access
Abstract P333: Prediction of Stroke Lesion Growth Rates by Baseline Perfusion Imaging
Stroke·2021· 2 cited
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Frequent Co-authors

Paul Suetens(24), Frederik Maes(21), Dirk Vandermeulen(13), Jeroen Bertels(12), Bjoern Menze(10), Roland Wiest(9), Mauricio Reyes(9), Ezequiel de la Rosa(9), Jan S. Kirschke(8), Siri Willems(7), Stefan Sunaert(7), Vincent Thijs(7), Robin Lemmens(6), Arne Brys(6), Moritz Roman Hernández Petzsche(5), Guy Wilms(5), Sofie Tilborghs(5), Dirk Smeets(5), Daan Christiaens(4), Arsany Hakim(4)