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
11 - 20 of 36
- Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging.(2020)
Authors: Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Tom Vercauteren, David Robben
- Optimization with soft Dice can lead to a volumetric bias(2020)
Authors: Jeroen Bertels, David Robben, Dirk Vandermeulen, Paul Suetens
Pages: 89 - 97Number of pages: 9 - Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning(2020)
Authors: David Robben, Robin Lemmens, Paul Suetens
- Segmentation of head-and-neck organs-at-risk in longitudinal CT scans combining deformable registrations and convolutional neural networks(2019)
Authors: Liesbeth Vandewinckele, Siri Willems, David Robben, Julie Van Der Veen, Wouter Crijns, Sandra Nuyts, Frederik Maes
Pages: 1 - 1 - Benefits of deep learning for delineation of organs at risk in head and neck cancer(2019)
Authors: Julie Van Der Veen, Siri Willems, Sarah Deschuymer, David Robben, Wouter Crijns, Frederik Maes, Sandra Nuyts
Pages: 68 - 74 - The role of medical image computing and machine learning in healthcare(2019)
Authors: Frederik Maes, David Robben, Dirk Vandermeulen, Paul Suetens
Pages: 9 - 23 - Perfusion parameter estimation using neural networks and data augmentation(2019)
Authors: David Robben, Paul Suetens
Pages: 439 - 446 - Contra-lateral information CNN for core lesion segmentation based on native CTP in acute stroke(2019)
Authors: Jeroen Bertels, David Robben, Dirk Vandermeulen, Paul Suetens
Pages: 263 - 270 - Clinical implementation of DeepVoxNet for auto-delineation of organs at risk in head and neck cancer patients in radiotherapy(2018)
Authors: Siri Willems, Wouter Crijns, Julie Van Der Veen, David Robben, Tom Depuydt, Sandra Nuyts, Karin Haustermans, Frederik Maes
Pages: 223 - 232 - ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI(2018)
Authors: David Robben, 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)