D. Vandermeulen

Paul Suetens, Dirk Vandermeulen, Peter Claes, 2005, ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005..

Evaluation of image features and search strategies for segmentation of bone structures in radiographs using Active Shape Models

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2002, Medical Image Anal..

Computerized craniofacial reconstruction using CT-derived implicit surface representations.

Paul Suetens, Dirk Vandermeulen, Dirk Loeckx, 2006, Forensic science international.

[Computer-assisted facial reconstruction: recent developments and trends].

Paul Suetens, Dirk Vandermeulen, Peter Claes, 2005, Revue belge de medecine dentaire.

Automatic landmarking as a convenient prerequisite for geometric morphometrics. Validation on cone beam computed tomography (CBCT)- based shape analysis of the nasal complex.

A F Ridel, F Demeter, M Galland, 2019, Forensic science international.

Human Centric Recognition of 3D Ear Models

Joachim Nielandt, Guy De Tré, Dirk Vandermeulen, 2016, Int. J. Comput. Intell. Syst..

Bipolar Comparison of 3D Ear Models

Antoon Bronselaer, Joachim Nielandt, Guy De Tré, 2014, IPMU.

Optimization with soft Dice can lead to a volumetric bias

D. Vandermeulen, P. Suetens, D. Robben, 2019, BrainLes@MICCAI.

Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients

Sebasti'an Amador S'anchez, T. Vercauteren, D. Smeets, 2020, ArXiv.

SHREC '11: Robust Feature Detection and Description Benchmark pdf

Radu Horaud, Paul Suetens, Alexander M. Bronstein, 2011, 3DOR@Eurographics.

meshSIFT: Local surface features for 3D face recognition under expression variations and partial data

Paul Suetens, Dirk Vandermeulen, Johannes Keustermans, 2013, Comput. Vis. Image Underst..

A Comparative Study of 3-D Face Recognition Under Expression Variations

Paul Suetens, Dirk Vandermeulen, Jeroen Hermans, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

SHREC '11 Track: 3D Face Models Retrieval

Hassen Drira, Liming Chen, Remco C. Veltkamp, 2011, 3DOR@Eurographics.

Fusion of an Isometric Deformation Modeling Approach Using Spectral Decomposition and a Region-Based Approach Using ICP for Expression-Invariant 3D Face Recognition

Paul Suetens, Dirk Vandermeulen, Jeroen Hermans, 2010, 2010 20th International Conference on Pattern Recognition.

Automated Segmentation of MS Lesions from Multi-channel MR Images

Koenraad Van Leemput, Paul Suetens, Fernando Bello, 1999, MICCAI.

Accurate segmentation of blood vessels from 3D medical images

Guy Marchal, Isabelle Bloch, Paul Suetens, 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

Detection of vertebral fractures in CT using 3D Convolutional Neural Networks pdf

Dirk Vandermeulen, David Robben, Joeri Nicolaes, 2019, CSI@MICCAI.

Targeting specific facial variation for different identification tasks.

Dirk Vandermeulen, Peter Claes, Gillian Aeria, 2010, Forensic science international.

Volumetric deformable face models for cranio-facial reconstruction

D. Vandermeulen, P. Claes, R. Suetens, 2005, ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005..

Cross-Modal Distillation to Improve MRI-Based Brain Tumor Segmentation With Missing MRI Sequences

F. Maes, D. Vandermeulen, S. Sunaert, 2021, IEEE Transactions on Biomedical Engineering.

Separating positional noise from neutral alignment in multicomponent statistical shape models

E A Audenaert, J Van den Eynde, D F de Almeida, 2020, Bone reports.

A Knowledge-Based System For The 3D Reconstruction And Representation Of The Cerebral Blood Vessels From A Pair Of Stereoscopic Angiograms

Paul Suetens, Dirk Vandermeulen, A. Oosterlinck, 1989, Medical Imaging.

Knowledge-based 3-D segmentation of bloodvessels on a spatial sequence of MRI and Ultrasound images

Guy Marchal, Paul Suetens, Dirk Vandermeulen, 1989, Medical Imaging.

A comparison of methods for non-rigid 3D shape retrieval

Paul Suetens, Ryutarou Ohbuchi, Dirk Vandermeulen, 2013, Pattern Recognit..

Plaque and Stent Artifact Reduction in Subtraction CT Angiography Using Nonrigid Registration and a Volume Penalty

Guy Marchal, Paul Suetens, Dirk Vandermeulen, 2005, MICCAI.

Intravascular visualisation by subtraction CT angiography and nonrigid registration

Guy Marchal, Paul Suetens, Dirk Vandermeulen, 2006 .

Removal of Plaque and Stent Artifacts in Subtraction CT Angiography Using Nonrigid Registration and a Volume Penalty

P. Suetens, D. Loeckx, F. Maes, 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

Protocol for the clinical functionality assessment of a workstation for stereotactic neurosurgery

Guy Marchal, Paul Suetens, Dirk Vandermeulen, 1995, IEEE Trans. Medical Imaging.

Comparative evaluation of multiresolution optimization strategies for multimodality image registration by maximization of mutual information

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 1999, Medical Image Anal..

Automatic Segmentation of Brain Tissues and MR Bias Field Correction Using a Cigital Brain Atlas

Koenraad Van Leemput, Paul Suetens, Dirk Vandermeulen, 1998, MICCAI.

Construction of statistical shape models using a probabilistic point-based shape representation

D. Vandermeulen, P. Suetens, W. Mollemans, 2014 .

Image Segmentation Using Graph Representations and Local Appearance and Shape Models

Paul Suetens, Dirk Vandermeulen, Johannes Keustermans, 2009, GbRPR.

Modeling shapes and textures from images: new frontiers

Luc Van Gool, Tinne Tuytelaars, Dirk Vandermeulen, 2002, Proceedings. First International Symposium on 3D Data Processing Visualization and Transmission.

Automatic Location of Landmarks used in Manual Anthropometry

Maks Ovsjanikov, Andrea Giachetti, Paul Suetens, 2014, 3DOR@Eurographics.

SHREC'10 Track: Non-rigid 3D Shape Retrieval

Paul Suetens, Ryutarou Ohbuchi, Dirk Vandermeulen, 2010, 3DOR@Eurographics.

Inelastic Deformation Invariant Modal Representation for Non-rigid 3D Object Recognition

Paul Suetens, Dirk Vandermeulen, Jeroen Hermans, 2010, AMDO.

The Role of Medical Image Computing and Machine Learning in Healthcare

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2019, Artificial Intelligence in Medical Imaging.

Nonrigid Image Registration Using Conditional Mutual Information

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2010, IEEE Transactions on Medical Imaging.

Dense shape correspondences using spectral high-order graph matching

Paul Suetens, Dirk Vandermeulen, Jeroen Hermans, 2011, CVPR 2011 WORKSHOPS.

Active Shape Model-Based Segmentation of Digital X-ray Images

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 1999, MICCAI.

3D non-rigid point cloud based surface registration based on mean shift

Paul Suetens, Dirk Vandermeulen, Dirk Smeets, 2010 .

Automated model-based tissue classification of MR images of the brain

F. Maes, D. Vandermeulen, P. Suetens, 1999, IEEE Transactions on Medical Imaging.

A Unified Framework for Atlas Based Brain Image Segmentation and Registration

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2006, WBIR.

Large-scale validation of non-rigid registration algorithms for atlas-based brain image segmentation

Qian Wang, Paul Suetens, Dirk Vandermeulen, 2006, SPIE Medical Imaging.

Construction and Validation of Mean Shape Atlas Templates for Atlas-Based Brain Image Segmentation

Qian Wang, Paul Suetens, Dirk Vandermeulen, 2005, IPMI.

Effects of Anatomical Asymmetry in Spatial Priors on Model-Based Segmentation of the Brain MRI: A Validation Study

Patrick Dupont, Wim Van Paesschen, Paul Suetens, 2004, MICCAI.

Feature Based Statistical Analysis of Structural MR Data for Automatic Detection of Focal Cortical Dysplastic (FCD) Lesions

Patrick Dupont, Wim Van Paesschen, Paul Suetens, 2004, ISBI.

Validation of Nonlinear Spatial Filtering to Improve Tissue Segmentation of MR Brain Images

Koenraad Van Leemput, Paul Suetens, Dirk Vandermeulen, 2001, MICCAI.

Non-rigid image registration using mutual information

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2006 .

Automated bias field correction and tissue classification of MR images of the brain using a digital atlas

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 1999 .

Unsupervised Regularized Classification of Multi-Spectral MRI

Guy Marchal, Paul Suetens, Dirk Vandermeulen, 1996, VBC.

Isometric deformation modeling using singular value decomposition for 3D expression-invariant face recognition

Paul Suetens, Dirk Vandermeulen, Jeroen Hermans, 2009, 2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems.

A prototype medical workstation for computer-assisted stereotactic neurosurgery.

G Marchal, P Suetens, D Vandermeulen, 1990, Stereotactic and functional neurosurgery.

The use of magnetic resonance angiography in stereotactic neurosurgery.

P Suetens, G Marchal, H Bosmans, 1995, Journal of neurosurgery.

On the Relationship Between Calibrated Predictors and Unbiased Volume Estimation pdf

Matthew B. Blaschko, Dirk Vandermeulen, Frederik Maes, 2021, MICCAI.

Integrated visualization of brain anatomy and cerebral blood vessels

Guy Marchal, Paul Suetens, Dirk Vandermeulen, 1992, VVS.

Fuzzy voxel labeling of magnetic resonance images by global optimization

G. Marchal, D. Vandermeulen, P. Suetens, 1992 .

Towards Improved Identification of Vertebral Fractures in Routine Computed Tomography (CT) Scans: Development and External Validation of a Machine Learning Algorithm

D. Vandermeulen, T. Fuerst, C. Libanati, 2023, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

Segmentation of lung vessel trees by global optimization

Paul Suetens, Dirk Vandermeulen, Dirk Loeckx, 2009, Medical Imaging.

Multimodality image registration by maximization of mutual information

G. Marchal, F. Maes, A. Collignon, 1997, IEEE Transactions on Medical Imaging.

Automated segmentation of multiple sclerosis lesions by model outlier detection

F. Maes, D. Vandermeulen, P. Suetens, 2001, IEEE Transactions on Medical Imaging.

Automated Segmentation of MS Lesions from Multi-channel MR Images

F. Maes, D. Vandermeulen, P. Suetens, 1999, International Conference on Medical Image Computing and Computer-Assisted Intervention.

Contra-Lateral Information CNN for Core Lesion Segmentation Based on Native CTP in Acute Stroke

Paul Suetens, Dirk Vandermeulen, Jeroen Bertels, 2018, BrainLes@MICCAI.

Automatic Segmentation of Brain Tissues and MR Bias Field Correction Using a Cigital Brain Atlas

F. Maes, D. Vandermeulen, P. Suetens, 1998, MICCAI.