Paul Suetens
Katholieke Universiteit Leuven
H-index: 84
Europe-Belgium
Top articles of Paul Suetens
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
MeVisLab-OpenVR prototyping platform for virtual reality medical applications | International Journal of Computer Assisted Radiology and Surgery | Stijn De Buck Alexander Van De Bruaene Werner Budts Paul Suetens | 2022/11 |
Hierarchical spectral clustering reveals brain size and shape changes in asymptomatic carriers of C9orf72 | Brain Communications | Rose Bruffaerts Dorothy Gors Alicia Bárcenas Gallardo Mathieu Vandenbulcke Philip Van Damme | 2022/8/1 |
Prediction of stroke infarct growth rates by baseline perfusion imaging | Stroke | Anke Wouters David Robben Soren Christensen Henk A Marquering Yvo BWEM Roos | 2022/2 |
BRAIN COMMUNICATIONS | Hanna Leister Felix F Krause Beatriz Gil Ruslan Prus Inna Prus | 2024 | |
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty | IEEE Transactions on Power Electronics | Mads Graungaard Taul Nathan Pallo Andrew Stillwell Robert CN Pilawa-Podgurski | 2021/4/26 |
Abstract P333: Prediction of Stroke Lesion Growth Rates by Baseline Perfusion Imaging | Stroke | Anke Wouters David Robben Soren Christensen Henk Marquering Yvo Roos | 2021/3 |
Automated breast cancer risk estimation on routine CT thorax scans by deep learning segmentation | Stijn De Buck Jeroen Bertels Chelsey Vanbilsen Tanguy Dewaele Chantal Van Ongeval | 2020/3/16 | |
Optimization with soft dice can lead to a volumetric bias | Jeroen Bertels David Robben Dirk Vandermeulen Paul Suetens | 2020 | |
Explainable-by-design semi-supervised representation learning for covid-19 diagnosis from ct imaging | arXiv preprint arXiv:2011.11719 | Abel Díaz Berenguer Hichem Sahli Boris Joukovsky Maryna Kvasnytsia Ine Dirks | 2020/11/23 |
Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning | Medical image analysis | David Robben Anna MM Boers Henk A Marquering Lucianne LCM Langezaal Yvo BWEM Roos | 2020/1/1 |
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients | arXiv preprint arXiv:2007.15546 | Sofie Tilborghs Ine Dirks Lucas Fidon Siri Willems Tom Eelbode | 2020/7/29 |
Sa2012 automated polyp size estimation with deep learning reduces interobserver variability | Gastrointestinal Endoscopy | Jan Suykens Tom Eelbode Jurgen Daenen Paul Suetens Frederik Maes | 2020/6/1 |
AUTOMATED POLYP SIZE ESTIMATION WITH DEEP LEARNING REDUCES OVERESTIMATION BIAS | Endoscopy | J Suykens T Eelbode J Daenen P Suetens F Maes | 2020/4 |
Co-Authors
