Researcher
Paul Suetens
- 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 → Today - ESAT - PSI, Processing Speech and Images (Division)
Member
From1 Jan 2008 → 31 Jul 2020 - Department of Electrical Engineering (ESAT) (Department)
Member
From1 Oct 1999 → 31 Dec 2007
Projects
1 - 10 of 11
- Determination of brain tissue situation in stroke patients by CT perfusion analysis.From1 Oct 2017 → 30 Sep 2018Funding: IWT / VLAIO personal funding - innovation mandates
- Tensor-Based Global-to-Local Morphometric Analyses in Neurodegenerative DiseasesFrom1 Oct 2014 → 6 Nov 2018Funding: Own budget, for example: patrimony, inscription fees, gifts
- 2D and 3D high-spatial and high-temporal resolution ultrasound imaging for characterization of tendon mechanics.From10 Jan 2013 → 19 Apr 2017Funding: Own budget, for example: patrimony, inscription fees, gifts
- A statistical atlas of the cerebral perfusion areas.From1 Oct 2012 → 13 Oct 2016Funding: FWO fellowships
- Analysis of multispectral brain images in the presence of pathology.From6 Sep 2011 → 21 Feb 2017Funding: IWT personal funding - strategic basic research grants
- Model-based image computing for multi-X medical image data.From1 Jan 2011 → 31 Dec 2017Funding: BOF - Concerted Research Project from 1994
- Local models and local convergence for maximum likelihood iterative reconstructionFrom14 Sep 2009 → 14 Oct 2013Funding: Own budget, for example: patrimony, inscription fees, gifts
- Spatial mutual information for non rigid registration.From1 Oct 2008 → 30 Sep 2011Funding: FWO fellowships
- Modeling human motion from a neuromechanical perspective: from a generic mechanical model towards a subject-specific cybernetic system.From1 Sep 2008 → 31 Aug 2012Funding: BOF - Concerted Research Project from 1994
- Segmentation, registration and visualization of the maxillofacial region based on cone-beam CT imagesFrom10 Jan 2008 → 18 Sep 2016Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 162
- MeVisLab-OpenVR prototyping platform for virtual reality medical applications(2022)
Authors: Stijn De Buck, Alexander Van De Bruaene, Werner Budts, Paul Suetens
Pages: 2065 - 2069 - Hierarchical spectral clustering reveals brain size and shape changes in asymptomatic carriers of C9orf72(2022)
Authors: Mathieu Vandenbulcke, Philip Van Damme, Paul Suetens, Patrick Dupont, Peter Claes, Rik Vandenberghe
- Prediction of Stroke Infarct Growth Rates by Baseline Perfusion Imaging(2022)
Authors: Anke Wouters, David Robben, Paul Suetens, Robin Lemmens
Pages: 569 - 577 - 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
- Automated breast cancer risk estimation on routine CT thorax scans by deep learning segmentation(2020)
Authors: Stijn De Buck, Jeroen Bertels, Hilde Bosmans, Paul Suetens
- 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
- 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
- Facial recognition from DNA using face-to-DNA classifiers(2019)
Authors: Jiarui Li, Paul Suetens, Dirk Vandermeulen, Peter Claes
Patents
1 - 1 of 1