Researcher
David Robben
- Disciplines:Artificial intelligence, Multimedia processing, Biological system engineering, Signal processing, Other computer engineering, information technology and mathematical engineering, Medical imaging and therapy
Affiliations
- Processing Speech and Images (PSI) (Division)
Member
From1 Aug 2020 → 31 Oct 2022 - ESAT - PSI, Processing Speech and Images (Division)
Member
From1 Oct 2012 → 31 Jul 2020
Projects
1 - 3 of 3
- Understanding Final Infarct Prediction in Acute Ischemic Stroke Using Convolutional Neural NetworksFrom6 Nov 2017 → 26 Oct 2022Funding: Own budget, for example: patrimony, inscription fees, gifts
- Determination of brain tissue situation in stroke patients by CT perfusion analysis.From1 Oct 2017 → 30 Sep 2018Funding: IWT / VLAIO personal funding - innovation mandates
- A statistical atlas of the cerebral perfusion areas.From1 Oct 2012 → 13 Oct 2016Funding: FWO fellowships
Publications
1 - 10 of 35
- Understanding Final Infarct Prediction in Acute Ischemic Stroke Using Convolutional Neural Networks(2022)
Authors: Jeroen Bertels, Dirk Vandermeulen, David Robben
- Prediction of Stroke Infarct Growth Rates by Baseline Perfusion Imaging(2022)
Authors: Anke Wouters, David Robben, Paul Suetens, Robin Lemmens
Pages: 569 - 577 - The Dice loss in the context of missing or empty labels: introducing phi and epsilon(2022)
Authors: Sofie Tilborghs, Jeroen Bertels, David Robben, Dirk Vandermeulen, Frederik Maes
Pages: 527 - 537Number of pages: 11 - AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning(2021)
Authors: David Robben
- Predicting Infarct Core From Computed Tomography Perfusion in Acute Ischemia With Machine Learning Lessons From the ISLES Challenge(2021)
Authors: David Robben
Pages: 2328 - 2337 - Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty(2021)
Authors: Jeroen Bertels, David Robben, Dirk Vandermeulen, Paul Suetens
- Variations in the Circle of Willis in a large population sample using 3D TOF angiography: The Tromso Study(2020)
Authors: David Robben
- Whole Liver Segmentation Based on Deep Learning and Manual Adjustment for Clinical Use in SIRT(2020)
Authors: Xikai Tang, Esmaeel Jafargholi Rangraz, Jeroen Bertels, David Robben, Georg Schramm, Geert Maleux, Kristof Baete, Chris Verslype, Christophe Deroose, Johan Nuyts
Pages: 2742 - 2752 - Detection of vertebral fractures in CT using 3D convolutional neural networks(2020)
Authors: Joeri Nicolaes, David Robben, Guy Wilms, Dirk Vandermeulen
Pages: 3 - 14 - Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients.(2020)
Authors: Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Tom Vercauteren, David Robben, Frederik Maes, Paul Suetens
Patents
1 - 3 of 3
- Computer-implemented method, system and computer program product for determining a vascular function of a perfusion imaging sequence (Inventor)
- Computer-implemented method, system and computer program product for determining a vascular function of a perfusion imaging sequence (Inventor)
- Method and device for identifying vascular connectivity of an image (Inventor)