Computer-Aided Interactive Object Delineation Using an Intelligent Paintbrush Technique. - Frederik Maes; Dirk Vandermeulen; Paul Suetens; Guy Marchal (CVRMed, 1995)

Comparison and evaluation of retrospective intermodality image registration techniques. - Jay B. West; J. Michael Fitzpatrick; Matthew Yang Wang; Benoit M. Dawant; Calvin R. Maurer Jr.; Robert M. Kessler; Robert J. Maciunas; Christian Barillot; Didier Lemoine; André M. F. Collignon; Frederik Maes; Paul Suetens; et al. (Image Processing, 1996)

Multimodality Image Registration by Maximization of Mutual Information. - Frederik Maes; André Collignon; Dirk Vandermeulen; Guy Marchal; Paul Suetens (IEEE Trans. Medical Imaging, 1997)

Non-rigid Multimodal Image Registration Using Mutual Information. - Tom Gaens; Frederik Maes; Dirk Vandermeulen; Paul Suetens (MICCAI, 1998)

Automatic Segmentation of Brain Tissues and MR Bias Field Correction Using a Cigital Brain Atlas. - Koen Van Leemput; Frederik Maes; Dirk Vandermeulen; Paul Suetens (MICCAI, 1998)

Automatic 3D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformations. - Benoit M. Dawant; Jean-Philippe Thirion; Frederik Maes; Dirk Vandermeulen; Philippe Demaerel (Image Processing, 1998)

The EASI project-improving the effectiveness and quality of image-guided surgery. - Marcel Breeuwer; John P. Wadley; H. L. T. de Bliek; Johannes Buurman; Paul Desmedt; Paul M. C. Gieles; Frans A. Gerritsen; Neil L. Dorward; N. D. Kitchen; B. Velani; D. G. T. Thomas; Onno Wink; et al. (IEEE Trans. Inf. Technol. Biomed., 1998)

Active Shape Model-Based Segmentation of Digital X-ray Images. - Gert Behiels; Dirk Vandermeulen; Frederik Maes; Paul Suetens; Piet Dewaele (MICCAI, 1999)

Automated Segmentation of MS Lesions from Multi-channel MR Images. - Koen Van Leemput; Frederik Maes; Fernando Bello; Dirk Vandermeulen; Alan C. F. Colchester; Paul Suetens (MICCAI, 1999)

Quantification of Cerebral Grey and White Matter Asymmetry from MRI. - Frederik Maes; Koen Van Leemput; Lynn E. DeLisi; Dirk Vandermeulen; Paul Suetens (MICCAI, 1999)

Comparative evaluation of multiresolution optimization strategies for multimodality image registration by maximization of mutual information. - Frederik Maes; Dirk Vandermeulen; Paul Suetens (Medical Image Anal., 1999)

Automatic 3D Segmentation of Internal Structures on the Head in MR Images Using a Combination of Similarity and Free Form Transormations: Part I, Metholody and Validation on Normal Subjects. - Benoit M. Dawant; Steven L. Hartmann; Jean-Philippe Thirion; Frederik Maes; Dirk Vandermeulen; Philippe Demaerel (IEEE Trans. Medical Imaging, 1999)

Automated model-based bias field correction of MR images of the brain. - Koen Van Leemput; Frederik Maes; Dirk Vandermeulen; Paul Suetens (IEEE Trans. Medical Imaging, 1999)

Automated Model-Based Tissue Classification of MR Images of the Brain. - Koen Van Leemput; Frederik Maes; Dirk Vandermeulen; Paul Suetens (IEEE Trans. Medical Imaging, 1999)

Emerging Possibilities of Image Processing and how this will influence Radiological-Clinical Cooperation. - Erwin Bellon; Michel Feron; Werner Aerts; J. Wauters; Johan Van Cleynenbreugel; Dirk Vandermeulen; Frederik Maes; Filip Schutyser; Stijn De Buck; Guy Marchal; Paul Suetens (EuroPACS, 2000)

A Statistical Framework for Partial Volume Segmentation. - Koen Van Leemput; Frederik Maes; Dirk Vandermeulen; Paul Suetens (MICCAI, 2001)

Validation of Nonlinear Spatial Filtering to Improve Tissue Segmentation of MR Brain Images. - Siddharth Srivastava 005; Koen Van Leemput; Frederik Maes; Dirk Vandermeulen; Paul Suetens (MICCAI, 2001)

Automated Segmentation of Multiple Sclerosis Lesions by Model Outlier Detection. - Koen Van Leemput; Frederik Maes; Dirk Vandermeulen; Alan C. F. Colchester; Paul Suetens (IEEE Trans. Medical Imaging, 2001)

Evaluation of image features and search strategies for segmentation of bone structures in radiographs using Active Shape Models. - Gert Behiels; Frederik Maes; Dirk Vandermeulen; Paul Suetens (Medical Image Anal., 2002)

Retrospective correction of the heel effect in hand radiographs. - Gert Behiels; Frederik Maes; Dirk Vandermeulen; Paul Suetens (Medical Image Anal., 2002)

Non-rigid Image Registration Using a Statistical Spline Deformation Model. - Dirk Loeckx; Frederik Maes; Dirk Vandermeulen; Paul Suetens (IPMI, 2003)

An Augmented Reality Approach Using Pre-operative Patient Specific Images to Guide Thermo-Ablation Procedures. - Stijn De Buck; Frederik Maes; Wim Anné; Jan Bogaert; Steven Dymarkowski; Hein Heidbüchel; Paul Suetens (IS4TH, 2003)

Temporal Subtraction of Thorax CR Images. - Dirk Loeckx; Frederik Maes; Dirk Vandermeulen; Paul Suetens (MICCAI (1), 2003)

An Automated 3D Algorithm for Neo-cortical Thickness Measurement. - Siddharth Srivastava 005; Frederik Maes; Dirk Vandermeulen; Patrick Dupont; Wim Van Paesschen; Paul Suetens (MICCAI (2), 2003)

Visualizing electrocardiographic information on a patient specific model of the heart. - Stijn De Buck; Frederik Maes; Wim Anné; Jan Bogaert; Steven Dymarkowski; Hein Heidbüchel; Paul Suetens (Image-Guided Procedures, 2003)

Free-Form Registration Using Mutual Information and Curvature Regularization. - Emiliano D'Agostino; Jan Modersitzki; Frederik Maes; Dirk Vandermeulen; Bernd Fischer 001; Paul Suetens (WBIR, 2003)

A viscous fluid model for multimodal non-rigid image registration using mutual information. - Emiliano D'Agostino; Frederik Maes; Dirk Vandermeulen; Paul Suetens (Medical Image Anal., 2003)

Medical image registration using mutual information. - Frederik Maes; Dirk Vandermeulen; Paul Suetens (Proc. IEEE, 2003)

A Unifying Framework for Partial Volume Segmentation of Brain MR Images. - Koen Van Leemput; Frederik Maes; Dirk Vandermeulen; Paul Suetens (IEEE Trans. Medical Imaging, 2003)

Temporal subtraction of thorax CR-images using a statistical deformation model. - Dirk Loeckx; Frederik Maes; Dirk Vandermeulen; Paul Suetens (IEEE Trans. Medical Imaging, 2003)

Feature Based Statistical Analysis of Structural MR Data for Automatic Detection of Focal Cortical Dysplastic (FCD) Lesions. - Siddharth Srivastava 005; Dirk Vandermeulen; Frederik Maes; Paul Suetens; Wim Van Paesschen; Patrick Dupont (ISBI, 2004)

Non-rigid Atlas-to-Image Registration by Minimization of Class-Conditional Image Entropy. - Emiliano D'Agostino; Frederik Maes; Dirk Vandermeulen; Paul Suetens (MICCAI (1), 2004)

Nonrigid Image Registration Using Free-Form Deformations with a Local Rigidity Constraint. - Dirk Loeckx; Frederik Maes; Dirk Vandermeulen; Paul Suetens (MICCAI (1), 2004)

Construction of a Brain Template from MR Images Using State-of-the-Art Registration and Segmentation Techniques. - Dieter Seghers; Emiliano D'Agostino; Frederik Maes; Dirk Vandermeulen; Paul Suetens (MICCAI (1), 2004)

Effects of Anatomical Asymmetry in Spatial Priors on Model-Based Segmentation of the Brain MRI: A Validation Study. - Siddharth Srivastava 005; Frederik Maes; Dirk Vandermeulen; Wim Van Paesschen; Patrick Dupont; Paul Suetens (MICCAI (1), 2004)

Construction and Validation of Mean Shape Atlas Templates for Atlas-Based Brain Image Segmentation. - Qian Wang; Dieter Seghers; Emiliano D'Agostino; Frederik Maes; Dirk Vandermeulen; Paul Suetens; Alexander Hammers (IPMI, 2005)

Plaque and Stent Artifact Reduction in Subtraction CT Angiography Using Nonrigid Registration and a Volume Penalty. - Dirk Loeckx; Stylianos Drisis; Frederik Maes; Dirk Vandermeulen; Guy Marchal; Paul Suetens (MICCAI (2), 2005)

Catheter based calibration for augmented reality guidance of cardiac thermo-ablation procedures. - Stijn De Buck; Frederik Maes; Joris Ector; Hein Heidbüchel; Paul Suetens (Image-Guided Procedures, 2005)

Automatic analysis of cerebral asymmetry: an exploratory study of the relationship between brain torque and planum temporale asymmetry. - Thomas R. Barrick; Clare E. Mackay; Sylvain Prima; Frederik Maes; Dirk Vandermeulen; Timothy J. Crow; Neil Roberts (NeuroImage, 2005)

Feature-based statistical analysis of structural MR data for automatic detection of focal cortical dysplastic lesions. - Siddharth Srivastava 005; Frederik Maes; Dirk Vandermeulen; Wim Van Paesschen; Patrick Dupont; Paul Suetens (NeuroImage, 2005)

An augmented reality system for patient-specific guidance of cardiac catheter ablation procedures. - Stijn De Buck; Frederik Maes; Joris Ector; Jan Bogaert; Steven Dymarkowski; Hein Heidbüchel; Paul Suetens (IEEE Trans. Medical Imaging, 2005)

Parameter Optimisation of a Linear Tetrahedral Mass Tensor Model for a Maxillofacial Soft Tissue Simulator. - Wouter Mollemans; Filip Schutyser; Nasser Nadjmi; Frederik Maes; Paul Suetens (ISBMS, 2006)

Simulation of Soft-Tissue Deformations for Breast Augmentation Planning. - Liesbet Roose; Wim De Maerteleire; Wouter Mollemans; Frederik Maes; Paul Suetens (ISBMS, 2006)

Image Based Musculoskeletal Modeling Allows Personalized Biomechanical Analysis of Gait. - Lennart Scheys; Ilse Jonkers; Dirk Loeckx; Frederik Maes; Arthur Spaepen; Paul Suetens (ISBMS, 2006)

Biomechanically Based Elastic Breast Registration Using Mass Tensor Simulation. - Liesbet Roose; Wouter Mollemans; Dirk Loeckx; Frederik Maes; Paul Suetens (MICCAI (2), 2006)

3D soft tissue predictions with a tetrahedral mass tensor model for a maxillofacial planning system: a quantitative validation study. - Wouter Mollemans; Filip Schutyser; Nasser Nadjmi; Frederik Maes; Paul Suetens (Image-Guided Procedures, 2006)

Pre-operative simulation and post-operative validation of soft-tissue deformations for breast implantation planning. - Liesbet Roose; Wim De Maerteleire; Wouter Mollemans; Frederik Maes; Paul Suetens (Image-Guided Procedures, 2006)

Image segmentation using local shape and gray-level appearance models. - Dieter Seghers; Dirk Loeckx; Frederik Maes; Paul Suetens (Image Processing, 2006)

Large-scale validation of non-rigid registration algorithms for atlas-based brain image segmentation. - Qian Wang; Emiliano D'Agostino; Dieter Seghers; Frederik Maes; Dirk Vandermeulen; Paul Suetens (Image Processing, 2006)

Non-rigid brain image registration using a statistical deformation model. - Jeroen Wouters; Emiliano D'Agostino; Frederik Maes; Dirk Vandermeulen; Paul Suetens (Image Processing, 2006)

A Unified Framework for Atlas Based Brain Image Segmentation and Registration. - Emiliano D'Agostino; Frederik Maes; Dirk Vandermeulen; Paul Suetens (WBIR, 2006)

Comparison Between Parzen Window Interpolation and Generalised Partial Volume Estimation for Nonrigid Image Registration Using Mutual Information. - Dirk Loeckx; Frederik Maes; Dirk Vandermeulen; Paul Suetens (WBIR, 2006)

Nonrigid Registration of Multitemporal CT and MR Images for Radiotherapy Treatment Planning. - Pieter Slagmolen; Dirk Loeckx; Sarah Roels; Xavier Geets; Frederik Maes; Karin Haustermans; Paul Suetens (WBIR, 2006)

An information theoretic approach for non-rigid image registration using voxel class probabilities. - Emiliano D'Agostino; Frederik Maes; Dirk Vandermeulen; Paul Suetens (Medical Image Anal., 2006)

Atlas-to-Image Non-rigid Registration by Minimization of Conditional Local Entropy. - Emiliano D'Agostino; Frederik Maes; Dirk Vandermeulen; Paul Suetens (IPMI, 2007)

Evaluation of a Novel Calibration Technique for Optically Tracked Oblique Laparoscopes. - Stijn De Buck; Frederik Maes; André D'Hoore; Paul Suetens (MICCAI (1), 2007)

Visual enhancement of interval changes using a temporal subtraction technique. - Dieter Seghers; Dirk Loeckx; Frederik Maes; Paul Suetens (Image Processing, 2007)

Predicting soft tissue deformations for a maxillofacial surgery planning system: From computational strategies to a complete clinical validation. - Wouter Mollemans; Filip Schutyser; Nasser Nadjmi; Frederik Maes; Paul Suetens (Medical Image Anal., 2007)

Linear normalization of MR brain images in pediatric patients with periventricular leukomalacia. - Bart Machilsen; Emiliano D'Agostino; Frederik Maes; Dirk Vandermeulen; Horst K. Hahn; Lieven Lagae; Peter Stiers (NeuroImage, 2007)

Minimal Shape and Intensity Cost Path Segmentation. - Dieter Seghers; Dirk Loeckx; Frederik Maes; Dirk Vandermeulen; Paul Suetens (IEEE Trans. Medical Imaging, 2007)

A statistical framework for the registration of 3D knee implant components to single-plane X-ray images. - Jeroen Hermans; Johan Bellemans; Frederik Maes; Dirk Vandermeulen; Paul Suetens (CVPR Workshops, 2008)

Adaptive Boundary Conditions for Physically Based Follow-Up Breast MR Image Registration. - Liesbet Roose; Dirk Loeckx; Wouter Mollemans; Frederik Maes; Paul Suetens (MICCAI (2), 2008)

Model-Based Segmentation Using Graph Representations. - Dieter Seghers; Jeroen Hermans; Dirk Loeckx; Frederik Maes; Dirk Vandermeulen; Paul Suetens (MICCAI (1), 2008)

On the construction of an inter-subject diffusion tensor magnetic resonance atlas of the healthy human brain. - Wim Van Hecke; Jan Sijbers; Emiliano D'Agostino; Frederik Maes; Steve De Backer; Everhard Vandervliet; Paul M. Parizel; Alexander Leemans (NeuroImage, 2008)

Three-Dimensional Cardiac Strain Estimation Using Spatio-Temporal Elastic Registration of Ultrasound Images: A Feasibility Study. - An Elen; Hon Fai Choi; Dirk Loeckx; Hang Gao 002; Piet Claus; Paul Suetens; Frederik Maes; Jan D'hooge (IEEE Trans. Medical Imaging, 2008)

The Minimal Entropy Prior for Simultaneous Reconstruction and Segmentation of in Vivo Microct Trabecular Bone Images. - Maarten Depypere; Johan Nuyts; Kjell Laperre; Geert Carmeliet; Frederik Maes; Paul Suetens (ISBI, 2009)

Validation of nonrigid registration for multi-tracer PET-CT treatment planning in rectal cancer radiotherapy. - Pieter Slagmolen; Sarah Roels; Dirk Loeckx; Karin Haustermans; Frederik Maes (Image Processing, 2009)

Voxel based nonrigid image registration using local and partial volume similarity measures. - Dirk Loeckx; Frederik Maes; Dirk Vandermeulen; Paul Suetens (ISBI, 2010)

SPARC: unified framework for automatic segmentation, probabilistic atlas construction, registration and clustering of brain MR images. - Annemie Ribbens; Jeroen Hermans; Frederik Maes; Dirk Vandermeulen; Paul Suetens (ISBI, 2010)

Semisupervised Probabilistic Clustering of Brain MR Images Including Prior Clinical Information. - Annemie Ribbens; Frederik Maes; Dirk Vandermeulen; Paul Suetens (MCV, 2010)

Automatic 3-D Breath-Hold Related Motion Correction of Dynamic Multislice MRI. - An Elen; Jeroen Hermans; Javier Ganame; Dirk Loeckx; Jan Bogaert; Frederik Maes; Paul Suetens (IEEE Trans. Medical Imaging, 2010)

Nonrigid Image Registration Using Conditional Mutual Information. - Dirk Loeckx; Pieter Slagmolen; Frederik Maes; Dirk Vandermeulen; Paul Suetens (IEEE Trans. Medical Imaging, 2010)

Impact of RF inhomogeneity correction on image registration of micro MRI rodent brain images. - Janaki Raman Rangarajan; Dirk Loeckx; Greetje Vande Velde; Tom Dresselaers; Uwe Himmelreich; Frederik Maes; Paul Suetens (ISBI, 2011)

Feasibility and Advantages of Diffusion Weighted Imaging Atlas Construction in Q-Space. - Thijs Dhollander; Jelle Veraart; Wim Van Hecke; Frederik Maes; Stefan Sunaert; Jan Sijbers; Paul Suetens (MICCAI (2), 2011)

A 3D+Time Spatio-temporal Model for Joint Segmentation and Registration of Sparse Cardiac Cine MR Image Stacks. - An Elen; Jeroen Hermans; Hadewich Hermans; Frederik Maes; Paul Suetens (STACOM, 2011)

Probabilistic framework for subject-specific and population-based analysis of longitudinal changes and disease progression in brain MR images. - Annemie Ribbens; Jeroen Hermans; Frederik Maes; Dirk Vandermeulen; Paul Suetens (Image Processing, 2011)

Motion and deformation estimation of cardiac ultrasound sequences using an anatomical B-spline transformation model. - Brecht Heyde; Piet Claus; Ruta Jasaityte; Daniel Barbosa 001; Stefaan Bouchez; Michael Vandenheuvel; Patrick Wouters; Frederik Maes; Jan D'hooge (ISBI, 2012)

Three-Dimensional Cardiac Motion Estimation Based on Non-rigid Image Registration Using a Novel Transformation Model Adapted to the Heart. - Brecht Heyde; Daniel Barbosa 001; Piet Claus; Frederik Maes; Jan D'hooge (STACOM, 2012)

Intra-patient Non-rigid Registration of 3D Vascular Cerebral Images. - David Robben; Dirk Smeets; Daniel Ruijters; McElory Hoffmann; Laura Antanas; Frederik Maes; Paul Suetens (CLIP, 2012)

Quantitative evaluation of MRI-based tracking of ferritin-labeled endogenous neural stem cell progeny in rodent brain. - Greetje Vande Velde; Janaki Raman Rangarajan; Ruth Vreys; Caroline Guglielmetti; Tom Dresselaers; Marleen Verhoye; Annemie van der Linden; Zeger Debyser; Veerle Baekelandt; Frederik Maes; Uwe Himmelreich (NeuroImage, 2012)

Influence of the Grid Topology of Free-Form Deformation Models on the Performance of 3D Strain Estimation in Echocardiography. - Brecht Heyde; Daniel Barbosa 001; Piet Claus; Frederik Maes; Jan D'hooge (FIMH, 2013)

Groupwise Deformable Registration of Fiber Track Sets Using Track Orientation Distributions. - Daan Christiaens; Thijs Dhollander; Frederik Maes; Stefan Sunaert; Paul Suetens (CDMRI/MMBC@MICCAI, 2013)

Anatomical Labeling of the Circle of Willis Using Maximum A Posteriori Graph Matching. - David Robben; Stefan Sunaert; Vincent Thijs; Guy Willms; Frederik Maes; Paul Suetens (MICCAI (1), 2013)

Elastic Image Registration Versus Speckle Tracking for 2-D Myocardial Motion Estimation: A Direct Comparison In Vivo. - Brecht Heyde; Ruta Jasaityte; Daniel Barbosa 001; Valérie Robesyn; Stefaan Bouchez; Patrick Wouters; Frederik Maes; Piet Claus; Jan D'hooge (IEEE Trans. Medical Imaging, 2013)

Registration-based filtering: An acceptable tool for noise reduction in left ventricular dynamic rotational angiography images? - Jean-Yves Wielandts; Stijn De Buck; Joris Ector; Dieter Nuyens; Frederik Maes; Hein Heidbüchel (Image-Guided Procedures, 2014)

Track Orientation Density Imaging (TODI) and Track Orientation Distribution (TOD) based tractography. - Thijs Dhollander; Louise Emsell; Wim Van Hecke; Frederik Maes; Stefan Sunaert; Paul Suetens (NeuroImage, 2014)

Multimodal imaging of subventricular zone neural stem/progenitor cells in the cuprizone mouse model reveals increased neurogenic potential for the olfactory bulb pathway, but no contribution to remyelination of the corpus callosum. - Caroline Guglielmetti; Jelle Praet; Janaki Raman Rangarajan; Ruth Vreys; Nathalie De Vocht; Frederik Maes; Marleen Verhoye; Peter Ponsaerts; Annemie van der Linden (NeuroImage, 2014)

Unsupervised Segmentation, Clustering, and Groupwise Registration of Heterogeneous Populations of Brain MR Images. - Annemie Ribbens; Jeroen Hermans; Frederik Maes; Dirk Vandermeulen; Paul Suetens (IEEE Trans. Medical Imaging, 2014)

Convex Non-negative Spherical Factorization of Multi-Shell Diffusion-Weighted Images. - Daan Christiaens; Frederik Maes; Stefan Sunaert; Paul Suetens (MICCAI (1), 2015)

ISLES Challenge 2015: Automated Model-Based Segmentation of Ischemic Stroke in MR Images. - Tom Haeck; Frederik Maes; Paul Suetens (Brainles@MICCAI, 2015)

A Voxel-Wise, Cascaded Classification Approach to Ischemic Stroke Lesion Segmentation. - David Robben; Daan Christiaens; Janaki Raman Rangarajan; Jaap Gelderblom; Philip Joris; Frederik Maes; Paul Suetens (Brainles@MICCAI, 2015)

Perfusion Paths: Inference of Voxelwise Blood Flow Trajectories in CT Perfusion. - David Robben; Stefan Sunaert; Vincent Thijs; Guy Willms; Frederik Maes; Paul Suetens (MICCAI (2), 2015)

Global tractography of multi-shell diffusion-weighted imaging data using a multi-tissue model. - Daan Christiaens; Marco Reisert; Thijs Dhollander; Stefan Sunaert; Paul Suetens; Frederik Maes (NeuroImage, 2015)

Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation. - Nicolas Sauwen; Marjan Acou; Halandur Nagaraja Bharath; Diana Maria Sima; Jelle Veraart; Frederik Maes; Uwe Himmelreich; Eric Achten; Sabine Van Huffel (ESANN, 2016)

White Matter Fiber-Bundle Analysis Using Non-negative Tensor Factorization. - Claudio Stamile; François Cotton; Frederik Maes; Dominique Sappey-Marinier; Sabine Van Huffel (ICIAR, 2016)

An untrained and unsupervised method for MRI brain tumor segmentation. - Tom Haeck; Frederik Maes; Paul Suetens (ISBI, 2016)

Patch based super-resolution of MR spectroscopic images. - Saurabh Jain; Diana Maria Sima; Faezeh Sanaei Nezhad; Steve Williams; Sabine Van Huffel; Frederik Maes; Dirk Smeets (ISBI, 2016)

Inferring brain deformation during open neurosurgery using CBCT angiography. - Niels Verheyen; David Robben; Daniel Ruijters; Vitor Mendes Pereira; Olivier Brina; Frederik Maes; Paul Suetens (ISBI, 2016)

Validation of an Improved Patient-Specific Mold Design for Registration of In-vivo MRI and Histology of the Prostate. - An Elen; Sofie Isebaert; Frederik De Keyzer; Uwe Himmelreich; Steven Joniau; Lorenzo Tosco; Wouter Everaerts; Tom Dresselaers; Evelyne Lerut; Raymond Oyen; Roger Bourne; Frederik Maes; et al. (CLIP@MICCAI, 2016)

Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation. - Saurabh Jain; Annemie Ribbens; Diana Maria Sima; Sabine Van Huffel; Frederik Maes; Dirk Smeets (MCV/BAMBI@MICCAI, 2016)

A Semi-Automated Segmentation Framework for MRI Based Brain Tumor Segmentation Using Regularized Nonnegative Matrix Factorization. - Nicolas Sauwen; Diana Maria Sima; Marjan Acou; Eric Achten; Frederik Maes; Uwe Himmelreich; Sabine Van Huffel (SITIS, 2016)

Simultaneous segmentation and anatomical labeling of the cerebral vasculature. - David Robben; Engin Türetken; Stefan Sunaert; Vincent Thijs; Guy Willems; Pascal Fua; Frederik Maes; Paul Suetens (Medical Image Anal., 2016)

Comparison of manual and semi-manual delineations for classifying glioblastoma multiforme patients based on histogram and texture MRI features. - Adrian Ion-Margineanu; Sofie Van Cauter; Diana Maria Sima; Frederik Maes; Stefan Sunaert; Uwe Himmelreich; Sabine Van Huffel (ESANN, 2017)

Robust Model-Based Registration of Cardiac MR Images for T1 and ECV Mapping. - Sofie Tilborghs; Tom Dresselaers; Piet Claus; Guido Claessen; Jan Bogaert; Frederik Maes; Paul Suetens (FIMH, 2017)

Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization. - Nicolas Sauwen; Marjan Acou; Diana Maria Sima; Jelle Veraart; Frederik Maes; Uwe Himmelreich; Eric Achten; Sabine Van Huffel (BMC Medical Imaging, 2017)

Convexity-constrained and nonnegativity-constrained spherical factorization in diffusion-weighted imaging. - Daan Christiaens; Stefan Sunaert; Paul Suetens; Frederik Maes (NeuroImage, 2017)

Multiparametric Non-Negative Matrix Factorization for Longitudinal Variations Detection in White-Matter Fiber Bundles. - Claudio Stamile; Gabriel Kocevar; François Cotton; Frederik Maes; Dominique Sappey-Marinier; Sabine Van Huffel (IEEE J. Biomed. Health Informatics, 2017)

Segmentation of Head and Neck Organs-At-Risk in Longitudinal CT Scans Combining Deformable Registrations and Convolutional Neural Networks. - Liesbeth Vandewinckele; David Robben; Wouter Crijns; Frederik Maes (DLMIA/ML-CDS@MICCAI, 2018)

Clinical Implementation of DeepVoxNet for Auto-Delineation of Organs at Risk in Head and Neck Cancer Patients in Radiotherapy. - Siri Willems; Wouter Crijns; Agustina La Greca Saint-Esteven; Julie Van Der Veen; David Robben; Tom Depuydt; Sandra Nuyts; Karin Haustermans; Frederik Maes (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

Preprocessing of Heteroscedastic Medical Images. - Philip Joris; Wim De Maerteleire; Wim Van De Voorde; Paul Suetens; Frederik Maes; Dirk Vandermeulen; Peter Claes (IEEE Access, 2018)

Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice. - Jeroen Bertels; Tom Eelbode; Maxim Berman; Dirk Vandermeulen; Frederik Maes; Raf Bisschops; Matthew B. Blaschko (MICCAI (2), 2019)

3D Left Ventricular Segmentation from 2D Cardiac MR Images Using Spatial Context. - Sofie Tilborghs; Tom Dresselaers; Piet Claus; Jan Bogaert; Frederik Maes (STACOM@MICCAI, 2019)

Left Ventricular Parameter Regression from Deep Feature Maps of a Jointly Trained Segmentation CNN. - Sofie Tilborghs; Frederik Maes (STACOM@MICCAI, 2019)

Feasibility of CT-Only 3D Dose Prediction for VMAT Prostate Plans Using Deep Learning. - Siri Willems; Wouter Crijns; Edmond Sterpin; Karin Haustermans; Frederik Maes (AIRT@MICCAI, 2019)

Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice. - Jeroen Bertels; Tom Eelbode; Maxim Berman; Dirk Vandermeulen; Frederik Maes; Raf Bisschops; Matthew B. Blaschko (CoRR, 2019)

Robust motion correction for cardiac T1 and ECV mapping using a T1 relaxation model approach. - Sofie Tilborghs; Tom Dresselaers; Piet Claus; Guido Claessen; Jan Bogaert; Frederik Maes; Paul Suetens (Medical Image Anal., 2019)

Low-Rank Convolutional Networks for Brain Tumor Segmentation. - Pooya Ashtari; Frederik Maes; Sabine Van Huffel (BrainLes@MICCAI (1), 2020)

Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters. - Sofie Tilborghs; Tom Dresselaers; Piet Claus; Jan Bogaert; Frederik Maes (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Segmentation of head-and-neck organs-at-risk in longitudinal CT scans combining deformable registrations and convolutional neural networks. - Liesbeth Vandewinckele; Siri Willems; David Robben; Julie Van Der Veen; Wouter Crijns; Sandra Nuyts; Frederik Maes (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020)

Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients. - Sofie Tilborghs; Ine Dirks; Lucas Fidon; Siri Willems; Tom Eelbode; Jeroen Bertels; Bart Ilsen; Arne Brys; Adriana Dubbeldam; Nico Buls; Panagiotis Gonidakis; Sebastián Amador Sánchez; et al. (CoRR, 2020)

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. - Abel Díaz Berenguer; Hichem Sahli; Boris Joukovsky; Maryna Kvasnytsia; Ine Dirks; Mitchel Alioscha-Pérez; Nikos Deligiannis; Panagiotis Gonidakis; Sebastián Amador Sánchez; Redona Brahimetaj; Evgenia Papavasileiou; Jonathan Cheung-Wai Chan; et al. (CoRR, 2020)

Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index. - Tom Eelbode; Jeroen Bertels; Maxim Berman; Dirk Vandermeulen; Frederik Maes; Raf Bisschops; Matthew B. Blaschko (IEEE Trans. Medical Imaging, 2020)

Convolutional LSTM. - Tom Eelbode; Pieter Sinonquel; Raf Bisschops; Frederik Maes (Computer-Aided Analysis of Gastrointestinal Videos, 2021)

Learning from Mistakes: An Error-Driven Mechanism to Improve Segmentation Performance Based on Expert Feedback. - Siri Willems; Heleen Bollen; Julie Van Der Veen; Edmond Sterpin; Wouter Crijns; Sandra Nuyts; Frederik Maes (CLIP/DCL/LL-COVID19/PPML@MICCAI, 2021)

On the Relationship Between Calibrated Predictors and Unbiased Volume Estimation. - Teodora Popordanoska; Jeroen Bertels; Dirk Vandermeulen; Frederik Maes; Matthew B. Blaschko (MICCAI (1), 2021)

Improving T1w MRI-based brain tumor segmentation using cross-modal distillation. - Masoomeh Rahimpour; Jeroen Bertels; Dirk Vandermeulen; Frederik Maes; Karolien Goffin; Michel Koole (Image Processing, 2021)

A Kernel Based Multilinear SVD Approach for Multiple Sclerosis Profiles Classification. - Berardino Barile; Pooya Ashtari; Françoise Durand-Dubief; Frederik Maes; Dominique Sappey-Marinier; Sabine Van Huffel (ESANN, 2022)

The Dice Loss in the Context of Missing or Empty Labels: Introducing $ varPhi $ and ε. - Sofie Tilborghs; Jeroen Bertels; David Robben; Dirk Vandermeulen; Frederik Maes (MICCAI (5), 2022)

The Dice loss in the context of missing or empty labels: Introducing Φ and ε. - Sofie Tilborghs; Jeroen Bertels; David Robben; Dirk Vandermeulen; Frederik Maes (CoRR, 2022)

Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome. - Berardino Barile; Pooya Ashtari; Claudio Stamile; Aldo Marzullo; Frederik Maes; Françoise Durand-Dubief; Sabine Van Huffel; Dominique Sappey-Marinier (Frontiers Robotics AI, 2022)

Artificial Intelligence Based Patient-Specific Preoperative Planning Algorithm for Total Knee Arthroplasty. - Adriaan Lambrechts; Roel Wirix-Speetjens; Frederik Maes; Sabine Van Huffel (Frontiers Robotics AI, 2022)

Corrigendum: Artificial Intelligence Based Patient-Specific Preoperative Planning Algorithm for Total Knee Arthroplasty. - Adriaan Lambrechts; Roel Wirix-Speetjens; Frederik Maes; Sabine Van Huffel (Frontiers Robotics AI, 2022)

Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI. - Sofie Tilborghs; Jan Bogaert; Frederik Maes (Medical Image Anal., 2022)

Cross-Modal Distillation to Improve MRI-Based Brain Tumor Segmentation With Missing MRI Sequences. - Masoomeh Rahimpour; Jeroen Bertels; Ahmed Radwan; Henri Vandermeulen; Stefan Sunaert; Dirk Vandermeulen; Frederik Maes; Karolien Goffin; Michel Koole (IEEE Trans. Biomed. Eng., 2022)

Functional Outcome Prediction in Acute Ischemic Stroke. - Ewout Heylen; Jeroen Bertels; Julie Lambert; Jelle Demeestere; Fredrik Ståhl; Åke Holmberg; Wim H. van Zwam; Charles B. L. M. Majoie; Aad van der Lugt; Robin Lemmens; Frederik Maes (BrainLes/SWITCH@MICCAI, 2023)

From Brain Tissue Infarction at 24 Hours to Patient Functional Outcome at 90 Days Using Deep Learning. - Marie Ulens; Jeroen Bertels; Ewout Heylen; Julie Lambert; Jelle Demeestere; Robin Lemmens; Dirk Vandermeulen; Frederik Maes (BrainLes/SWITCH@MICCAI, 2023)

Deep Learning Approaches for Automated Classification of Muscular Dystrophies from MRI. - Lotte Huysmans; Bram De Wel; Louise Iterbeke; Kristl G. Claeys; Frederik Maes (MICAD, 2023)

Cascade UNets for Kidney and Kidney Tumor Segmentation. - Konstantinos Koukoutegos; Frederik Maes; Hilde Bosmans (KiTS@MICCAI, 2023)

Factorizer: A scalable interpretable approach to context modeling for medical image segmentation. - Pooya Ashtari; Diana Maria Sima; Lieven De Lathauwer; Dominique Sappey-Marinier; Frederik Maes; Sabine Van Huffel (Medical Image Anal., 2023)

Beyond Segmentation: Confidence-Aware and Debiased Estimation of Ratio-based Biomarkers. - Jiameng Li; Teodora Popordanoska; Sebastian G. Gruber; Frederik Maes; Matthew B. Blaschko (CoRR, 2025)