Paul Suetens

KU Leuven — Belgium

Computer Science · Physical Sciences

77h-index27.8kcitations943works0.02yr avg
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Research Topics

Medical Image Segmentation Techniques(256), Medical Imaging Techniques and Applications(155), Advanced MRI Techniques and Applications(106), Advanced X-ray and CT Imaging(88), Radiomics and Machine Learning in Medical Imaging(75)

Publications943 total

Hierarchical spectral clustering reveals brain size and shape changes in asymptomatic carriers of<i>C9orf72</i>
Brain Communications·2022· 4 citedOpen Access
MeVisLab-OpenVR prototyping platform for virtual reality medical applications
International Journal of Computer Assisted Radiology and Surgery·2022· 5 cited
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
Prediction of Stroke Infarct Growth Rates by Baseline Perfusion Imaging
Stroke·2021· 38 citedOpen Access
Abstract P333: Prediction of Stroke Lesion Growth Rates by Baseline Perfusion Imaging
Stroke·2021· 2 cited
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging
arXiv (Cornell University)·2020· 3 citedOpen Access
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty
Medical Image Analysis·2020· 18 citedOpen Access
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients
Zenodo (CERN European Organization for Nuclear Research)·2020· 11 citedOpen Access
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients
arXiv (Cornell University)·2020· 14 citedOpen Access
Sa2012 AUTOMATED POLYP SIZE ESTIMATION WITH DEEP LEARNING REDUCES INTEROBSERVER VARIABILITY
Gastrointestinal Endoscopy·2020· 5 citedOpen Access
AUTOMATED POLYP SIZE ESTIMATION WITH DEEP LEARNING REDUCES OVERESTIMATION BIAS
Endoscopy·2020
Automated breast cancer risk estimation on routine CT thorax scans by deep learning segmentation
Medical Imaging 2020: Computer-Aided Diagnosis·2020· 1 citedOpen Access
Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning
Medical Image Analysis·2019· 87 citedOpen Access
4D CBCT reconstruction with TV regularization on a dynamic software phantom
2019· 3 cited
Facial recognition from DNA using face-to-DNA classifiers
Nature Communications·2019· 74 citedOpen Access
Abstract TP80: Deep Learning Based Prediction of Tissue Status From Native CT Perfusion Images
Stroke·2019
Contra-Lateral Information CNN for Core Lesion Segmentation Based on Native CTP in Acute Stroke
Lecture notes in computer science·2019· 18 citedOpen Access
Perfusion Parameter Estimation Using Neural Networks and Data Augmentation
Lecture notes in computer science·2019· 9 cited
The Role of Medical Image Computing and Machine Learning in Healthcare
Artificial Intelligence in Medical Imaging·2019· 15 citedOpen Access
Robust motion correction for cardiac T1 and ECV mapping using a T1 relaxation model approach
Medical Image Analysis·2018· 19 citedOpen Access
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Frequent Co-authors

Dirk Vandermeulen(21), Frederik Maes(20), G Marchal(8), Reinhilde Jacobs(7), Daniël van Steenberghe(7), Johan Nuyts(6), Patrick Dupont(6), André Collignon(5), Miet Loubele(5), Filip Schutyser(5), Peter Claes(5), Koen Van Leemput(4), Bruno De Man(4), Johan Van Cleynenbreugel(4), Jan D’hooge(4), Sven De Greef(3), Guy Willems(3), Bart Bijnens(3), Jan Thoen(3), Frans Van de Werf(3)