F. Maes

发表

Multi-modal volume registration by maximization of mutual information

G. Marchal, F. Maes, A. Collignon, 1997 .

Improved visualization of coronary arteries using a new three-dimensional submillimeter MR coronary angiography sequence with balanced gradients.

F. Maes, B. Giorgi, S. Dymarkowski, 2002, AJR. American journal of roentgenology.

Multimodality image registration by maximization of mutual information

Guy Marchal, Paul Suetens, Dirk Vandermeulen, 1997, IEEE Transactions on Medical Imaging.

Evaluation of manual vs semi-automated delineation of liver lesions on CT images

G. Marchal, F. Maes, P. Suetens, 1997, European Radiology.

Automatic 3-D Breath-Hold Related Motion Correction of Dynamic Multislice MRI

Paul Suetens, Jeroen Hermans, Frederik Maes, 2010, IEEE Transactions on Medical Imaging.

Cardiac Three-Dimensional Magnetic Resonance Imaging and Fluoroscopy Merging: A New Approach for Electroanatomic Mapping to Assist Catheter Ablation

F. Maes, S. Dymarkowski, J. Bogaert, 2005, Circulation.

Fiber Bundle Segmentation Using Spectral Embedding and Supervised Learning

F. Maes, P. Suetens, S. Sunaert, 2014 .

An Automated 3D Algorithm for Neo-cortical Thickness Measurement

Patrick Dupont, Wim Van Paesschen, Paul Suetens, 2003, MICCAI.

Temporal subtraction of thorax CR images using a statistical deformation model

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2003, IEEE Transactions on Medical Imaging.

Automated multi-modality image registration based on information theory

Guy Marchal, Paul Suetens, Andre M. F. Collignon, 1995 .

Track-density imaging & noise: when super-resolution quality does not yield accuracy

F. Maes, P. Suetens, S. Sunaert, 2012 .

Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images

Saurabh Jain, D. Smeets, S. Van Huffel, 2015, NeuroImage: Clinical.

Brain Tumor Segmentation by a Generative Model with a Prior on Tumor Shape

Bjoern H Menze, Vivek S. Bharadwaj, H. Larochelle, 2015 .

Tumour Relapse Prediction Using Multiparametric MR Data Recorded during Follow-Up of GBM Patients

Sabine Van Huffel, Frederik Maes, Uwe Himmelreich, 2015, BioMed research international.

Hierarchical non‐negative matrix factorization to characterize brain tumor heterogeneity using multi‐parametric MRI

Sabine Van Huffel, Frederik Maes, Jelle Veraart, 2015, NMR in biomedicine.

Interobserver variations in gross tumor volume delineation of brain tumors on computed tomography and impact of magnetic resonance imaging.

E Bellon, M Feron, E van der Schueren, 2001, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Spatial Transformations of High Angular Resolution Diffusion Imaging Data in Q-space

F. Maes, P. Suetens, S. Sunaert, 2010 .

Model-Based Brain Tissue Classification

Siddharth Srivastava, F. Maes, D. Vandermeulen, 2005 .

Biplane three-dimensional augmented fluoroscopy as single navigation tool for ablation of atrial fibrillation: accuracy and clinical value.

F. Maes, S. Dymarkowski, J. Bogaert, 2008, Heart rhythm.

Visualizing electrocardiographic information on a patient specific model of the heart

Paul Suetens, Frederik Maes, Jan Bogaert, 2003, SPIE Medical Imaging.

Analysis of intensity variability in multislice and cone beam computed tomography.

F. Maes, R. Jacobs, R. Pauwels, 2011, Clinical oral implants research.

Volumetric quantification of bone loss for determination of bone grafting accuracy: a pilot study

F. Maes, R. Jacobs, B. Hassan, 2009 .

Assessing age-related gray matter decline with voxel-based morphometry depends significantly on segmentation and normalization procedures

Frederik Maes, Stephan P. Swinnen, Nicole Wenderoth, 2014, Front. Aging Neurosci..

Artificial intelligence and its impact on quality improvement in upper and lower gastrointestinal endoscopy

Frederik Maes, Tom Eelbode, Raf Bisschops, 2020, Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society.

Elastic image registration to quantify 3-D regional myocardial deformation from volumetric ultrasound: experimental validation in an animal model.

Frederik Maes, Piet Claus, Brecht Heyde, 2013, Ultrasound in medicine & biology.

Optimal 68Ga-PSMA and 18F-PSMA PET window levelling for gross tumour volume delineation in primary prostate cancer

F. Maes, K. Haustermans, K. Goffin, 2020, European Journal of Nuclear Medicine and Molecular Imaging.

Dosimetric adaptive IMRT driven by fiducial points.

F. Maes, K. Haustermans, L. Van den Bergh, 2014, Medical physics.

Potential benefits of dosimetric VMAT tracking verified with 3D film measurements.

F. Maes, K. Haustermans, T. Depuydt, 2016, Medical physics.

Online adaptation and verification of VMAT.

F. Maes, K. Haustermans, T. Depuydt, 2015, Medical physics.

A semi-automated 2D/3D marker-based registration algorithm modelling prostate shrinkage during radiotherapy for prostate cancer.

Jeroen Hermans, Frederik Maes, Tom Depuydt, 2009, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Fast, accurate, and robust automatic marker detection for motion correction based on oblique kV or MV projection image pairs.

Jeroen Hermans, Frederik Maes, Karin Haustermans, 2010, Medical physics.

Intrafractional prostate motion during online image guided intensity-modulated radiotherapy for prostate cancer.

Jeroen Hermans, Frederik Maes, Karin Haustermans, 2011, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

SU-E-J-138: Fast 2-D Fiducial Marker Detection on Sequential MV Projections in Arc Therapy.

F. Maes, K. Haustermans, P. Slagmolen, 2012, Medical physics.

Fast multimodality image registration using multiresolution gradient-based maximization of mutual information

Guy Marchal, Paul Suetens, Dirk Vandermeulen, 1997 .

Assessment of bone segmentation quality of cone-beam CT versus multislice spiral CT: a pilot study.

Guy Marchal, Reinhilde Jacobs, Miet Loubele, 2006, Oral surgery, oral medicine, oral pathology, oral radiology, and endodontics.

Experimental quantification of the local strains in bone TE scaffolds by the combined use of micro-CT imaging, in-situ loading and local strain mapping

D. Loeckx, F. Maes, J. Schrooten, 2009 .

Image quality vs radiation dose of four cone beam computed tomography scanners.

R Jacobs, P Suetens, W Coudyzer, 2008, Dento maxillo facial radiology.

Quantifying myocardial deformation throughout the cardiac cycle: a comparison of ultrasound strain rate, grey-scale M-mode and magnetic resonance imaging.

J Bogaert, G R Sutherland, F Maes, 2004, Ultrasound in medicine & biology.

An in vivo validation study of ultrasonic strain imaging: a comparison of strain derived by ultrasonic strain rate imaging, gray-scale M-mode and MRI

F. Maes, S. Dymarkowski, J. Bogaert, 2003, IEEE Symposium on Ultrasonics, 2003.

Classifying Glioblastoma Multiforme Follow-Up Progressive vs. Responsive Forms Using Multi-Parametric MRI Features

S. Van Huffel, F. Maes, D. Sima, 2017, Front. Neurosci..

Persistent Impact of In utero Irradiation on Mouse Brain Structure and Function Characterized by MR Imaging and Behavioral Analysis

R. D'Hooge, F. Maes, U. Himmelreich, 2016, Front. Behav. Neurosci..

Retrospective heel effect correction in conventional radiography

F. Maes, D. Vandermeulen, P. Suetens, 2001, Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA 2001).

Segmentation of trabecular jaw bone on CBCT and µCT datasets

F. Maes, R. Jacobs, O. Nackaerts, 2011 .

Two Time Point MS Lesion Segmentation in Brain MRI: An Expectation-Maximization Framework

Michael H. Barnett, Sabine Van Huffel, Frederik Maes, 2016, Front. Neurosci..

High-spatial-resolution 3D balanced turbo field-echo technique for MR angiography of the renal arteries: initial experience.

G. Marchal, F. Maes, H. Bosmans, 2004, Radiology.

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging pdf

Tom Vercauteren, Paul Suetens, Dirk Vandermeulen, 2020, ArXiv.

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

Tom Vercauteren, Paul Suetens, Dirk Vandermeulen, 2020, ArXiv.

Lipid availability determines skeletal progenitor cell fate via SOX9

P. Carmeliet, F. Maes, Dariusz Przybylski, 2020, Nature.

Image-based in vivo assessment of targeting accuracy of stereotactic brain surgery in experimental rodent models

F. Maes, T. Dresselaers, B. Nuttin, 2016, Scientific Reports.

Optimisation of information theory based registration using gradient information

Dirk Vandermeulen, Frederik Maes, Peter Keyngnaert, 1997 .

Interactive augmented reality for cardiac ablation therapy in the left and right atrium

Frederik Maes, Stijn De Buck, Hein Heidbuchel, 2007 .

Toward image-based catheter tip tracking for treatment of atrial fibrillation

H. Heidbuchel, F. Maes, J. Ector, 2009, MICCAI 2009.

Application of a new image analysis technique to study brain asymmetry in schizophrenia

Dirk Vandermeulen, Frederik Maes, Clare E. Mackay, 2003, Psychiatry Research: Neuroimaging.

Analysis of asymmetry in 2D and 1D projections of left and right cerebral hemisphere grey and white matter

T. Crow, F. Maes, D. Vandermeulen, 2001, NeuroImage.

Clinical validation of high‐resolution fast spin‐echo MR colonography after colon distention with air

G. Marchal, F. Maes, H. Bosmans, 2005, Journal of magnetic resonance imaging : JMRI.

Magnetic resonance angiography in suspected cerebral vasculitis

F. Maes, P. Demaerel, G. Wilms, 2004, European Radiology.

Dynamic contrast‐enhanced MRI of the pancreas: Initial results in healthy volunteers and patients with chronic pancreatitis

F. Maes, H. Bosmans, F. De Keyzer, 2004, Journal of magnetic resonance imaging : JMRI.

Non-invasive characterization of the area-at-risk using magnetic resonance imaging in chronic ischaemia.

Frederik Maes, Piet Claus, Jan D'hooge, 2011, Cardiovascular research.

Changes in Left Atrial Anatomy Due to Respiration: Impact on Three‐Dimensional Image Integration During Atrial Fibrillation Ablation

Frederik Maes, Dirk Loeckx, Jan Bogaert, 2008, Journal of cardiovascular electrophysiology.

MRI-based 3D modelling of the right atrium allows for pre-procedural ablation planning

Frederik Maes, Jan Bogaert, Stijn De Buck, 2005 .

Computer-Aided Detection of Colonic Polyps Using Low-Dose CT Acquisitions 1

G. Marchal, F. Maes, P. Suetens, 2006 .

Downloading image processing services over the web : a technical feasibility study using JAVA applets

Guy Marchal, Paul Suetens, Dirk Vandermeulen, 1998 .

Global tractography of multi-shell diffusion-weighted imaging data using a multi-tissue model

Paul Suetens, Frederik Maes, Daan Christiaens, 2015, NeuroImage.

Track Orientation Density Imaging (TODI) and Track Orientation Distribution (TOD) based tractography

Paul Suetens, Frederik Maes, Wim Van Hecke, 2014, NeuroImage.

Assessment of bone segmentation quality of CT scanners using laser scanning

Reinhilde Jacobs, Miet Loubele, Paul Suetens, 2006 .

Investigating the need for additional kV imaging in marker based prostate motion tracking using the MV treatment beam

F. Maes, K. Haustermans, T. Depuydt, 2015 .

The Dice loss in the context of missing or empty labels: Introducing $\Phi$ and $\epsilon$

F. Maes, D. Vandermeulen, D. Robben, 2022, 2207.09521.

Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization

Sabine Van Huffel, Eric Achten, Frederik Maes, 2017, BMC Medical Imaging.

Hierarchical non-negative matrix factorization using multi-parametric MRI to assess tumor heterogeneity within gliomas

Sabine Van Huffel, Frederik Maes, Jelle Veraart, 2015 .

Image analysis based methodology for validation of non-rigid registration algorithms used in CT subtraction angiography

Guy Marchal, Paul Suetens, Frederik Maes, 2006 .

Improvement of coronary artery visualization using a new 3D-submillimeter MR coronary angiography sequence with balanced gradients

F. Maes, B. Giorgi, S. Dymarkowski, 2002 .

Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI

F. Maes, J. Bogaert, S. Tilborghs, 2022, Medical Image Anal..

Neovascularization Potential of Blood Outgrowth Endothelial Cells From Patients With Stable Ischemic Heart Failure Is Preserved

A. Luttun, F. Maes, F. Prósper, 2016, Journal of the American Heart Association.

B-splines in non-rigid image registration : computational framework

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2005 .

Exploring 2nd generation web technology for information integration and communication in the health care process

Guy Marchal, Paul Suetens, Johan Van Cleynenbreugel, 2000 .

Multimodality image registration using information theory (MIRIT), Version 97/08

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 1997 .

Probabilistic clustering of brain MR images and the combination with clinical prior knowledge

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2010 .

Effects of anatomical asymmetry in the spatial priors on model-based segmentation of brain MRI

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

Gradient-based maximization of mutual information for multimodality image registration

Guy Marchal, Paul Suetens, Dirk Vandermeulen, 1997 .

Large-scale validation of non-rigid registration algorithms in a brain image segmentation framework

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2005 .

Nonrigid registration for subtraction CT angiography applied to the carotids and cranial arteries.

Guy Marchal, Paul Suetens, Dirk Vandermeulen, 2007, Academic radiology.

MR brain image segmentation using the EM algorithm

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2001 .

Validation of non-rigid image registration using mutual information

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2004 .

Emerging Possibilities of Image Processing and how this will influence Radiological-Clinical Cooperation

Guy Marchal, Paul Suetens, Johan Van Cleynenbreugel, 2000, EuroPACS.

Clinical relevance of an automated algorithm for multi-modality image registration based on maximization of mutual information

Guy Marchal, Paul Suetens, Dirk Vandermeulen, 1997 .

Analysis of a heterogeneous set of brain MR images by morphology-based clustering

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2013 .

Web-technology for communicating image processing results through the medical decision making process and for tele-services

Guy Marchal, Paul Suetens, Johan Van Cleynenbreugel, 2000 .

Statistical analysis of textural features for detection of FCD lesions in T1 weighted MR

Patrick Dupont, Wim Van Paesschen, Paul Suetens, 2001 .

Automated multimodal image registration by maximization of mutual information : from theory, implementation and validation to a useful tool in routine clinical practice

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 1998 .

Nonrigid registration for artefact removal in CT subtraction angiography

Guy Marchal, Paul Suetens, Dirk Vandermeulen, 2005 .

Validation of nonlinear filtering to improve tissue segmentation in MR images of the brain

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2001 .

Medical image computing at the K.U.Leuven

Guy Marchal, Paul Suetens, Johan Van Cleynenbreugel, 2002 .

Construction and validation of statistical brain atlases for atlas-based brain image segmentation

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2005 .

Atlas-based segmentation of MR brain images by non-rigid image registration

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2005 .

Automated multi-moda lity image registration based on information theory

Guy Marchal, Paul Suetens, Andre M. F. Collignon, 1995 .

Accuracy of diffusion-weighted MR imaging in the diagnosis of sporadic Creutzfeldt-Jakob disease

Dirk Vandermeulen, Frederik Maes, Guido Wilms, 2003, Journal of Neurology.

An immersive framework for the visualization of electrocardiographic information on a patient specific model of the heart

Paul Suetens, Frederik Maes, Jan Bogaert, 2002 .

On the estimation of the fiber response function for constrained spherical deconvolution

Paul Suetens, Frederik Maes, Daan Christiaens, 2013 .

A spatio-temporal model for joint segmentation and registration of cardiac cine MR images

Paul Suetens, Frederik Maes, Dirk Loeckx, 2010 .

Accuracy of linear measurements on the lower jaw in CBCT based on a ground-truth acquired with laser scanning : preliminary results

Reinhilde Jacobs, Miet Loubele, Paul Suetens, 2006 .

Quantitative validation of TOD-based tractography by a tractometer approach

Paul Suetens, Frederik Maes, Wim Van Hecke, 2013 .

Improving cardiac ablation treatment by integrated visualization using a patient specific 3D model

Paul Suetens, Frederik Maes, Stijn De Buck, 2006 .

Global tractography of multi-shell diffusion data

Paul Suetens, Frederik Maes, Daan Christiaens, 2014 .

The effect of reorientation of the fibre orientation distribution on fibre tracking

Paul Suetens, Frederik Maes, Daan Christiaens, 2012 .

How reliable are findings from Track Density Imaging

Paul Suetens, Frederik Maes, Wim Van Hecke, 2012 .

Combined segmentation and registration of cardiac cine MR images

Paul Suetens, Frederik Maes, Dirk Loeckx, 2010 .

Imposing label priors in global tractography can resolve crossing fibre ambiguities

Paul Suetens, Frederik Maes, Daan Christiaens, 2015 .

3D breath hold related motion correction of multi-view 2D functional MRI

Paul Suetens, Frederik Maes, An Elen, 2008 .

Automated model-based segmentation of brain tumors in MR images

Paul Suetens, Frederik Maes, Tom Haeck, 2015 .

Comparison of manual versus low-level segmentation methods used for the validation of NRR algorithms in subtraction CT angiography

Guy Marchal, Paul Suetens, Frederik Maes, 2007 .

Modelling of soft tissue deformations for breast reconstruction planning

Paul Suetens, Frederik Maes, Liesbet Roose, 2005 .

Using track orientation distributions to robustify probabilistic tractography

Paul Suetens, Frederik Maes, Wim Van Hecke, 2013 .

Robust motion correction for cardiac T1 and ECV mapping using a T1 relaxation model approach

Paul Suetens, Frederik Maes, Piet Claus, 2019, Medical Image Anal..

Expectation-maximisation segmentation of trabecular bone from in vivo micro-CT

Paul Suetens, Frederik Maes, Maarten Depypere, 2008 .

Regression and classification using random forest-based techniques

Paul Suetens, Frederik Maes, Daan Christiaens, 2014 .

Quantitative multi-modal and multi-temporal image analysis in small animal models

Paul Suetens, Frederik Maes, Johan Nuyts, 2010 .

Integration of short- and long-axis MR images by 3D registration-based interpolation

Paul Suetens, Frederik Maes, Dirk Loeckx, 2007 .

Prostate mold project. Manual for image acquisition, three-plane segmentation, mold design and image registration

Frederik Maes, Karin Haustermans, An Elen, 2017 .

Sa2012 AUTOMATED POLYP SIZE ESTIMATION WITH DEEP LEARNING REDUCES INTEROBSERVER VARIABILITY

J. Suykens, F. Maes, P. Suetens, 2020 .

T2 mapping of human femorotibial cartilage with turbo mixed MR imaging at 1.5 T: feasibility.

Frederik Maes, Luce Vander Elst, G. Marchal, 2004, Radiology.

An image analysis pipeline for quantitative analysis of multi-temporal and multi-modal in vivo small animal images

Frederik Maes, Johan Nuyts, Dirk Loeckx, 2009 .

3D volumetric displacement and strain analysis of composite polymerization.

Martine Wevers, Frederik Maes, Xin Li, 2015, Dental materials : official publication of the Academy of Dental Materials.

Semi-Automated Annotation tool Outperforms Trained Medical Students and is Comparable to Clinical Expert Performance for Frame-Level Detection of Colorectal Polyps

Frederik Maes, Tom Eelbode, Omer F. Ahmad, 2021 .

Atlas based liver segmentation using nonrigid registration

Frederik Maes, Dirk Loeckx, Karin Haustermans, 2007 .

INCORPORATION OF TEMPORAL INFORMATION IN A DEEP NEURAL NETWORK IMPROVES PERFORMANCE LEVEL FOR AUTOMATED POLYP DETECTION AND DELINEATION

Frederik Maes, Tom Eelbode, Helmut Neumann, 2019, Endoscopy.

Gafchromic film dosimetry: calibration methodology and error analysis

Frederik Maes, Frank Van den Heuvel, Wouter Crijns, 2011, 1107.3780.

Quantitative assessment of gene-based versus particle based MRI contrast agents for progenitor cell tracking in rodent brain

Zeger Debyser, Frederik Maes, Tom Dresselaers, 2010 .

Quantitative evaluation of MRI-based tracking of ferritin-labeled endogenous neural stem cell progeny in rodent brain

Zeger Debyser, Frederik Maes, Annemarie van der Linden, 2012, NeuroImage.

CBCT instead of microCT for studying the trabecular bone: a feasible option?

Reinhilde Jacobs, Yan Huang, Frederik Maes, 2012 .

High‐speed digital imaging method for ciliary beat frequency measurement

Frederik Maes, F. Maes, M. Brewster, 2005, The Journal of pharmacy and pharmacology.

Bone quality assessment based on cone beam computed tomography imaging.

Reinhilde Jacobs, Olivia Nackaerts, Frederik Maes, 2009, Clinical oral implants research.

AUTOMATED POLYP SIZE ESTIMATION WITH DEEP LEARNING REDUCES OVERESTIMATION BIAS

Frederik Maes, Tom Eelbode, P Suetens, 2020 .

Non-rigid image registration for subtraction CT angiography of the abdomen is significantly more effective when the post-contrast image is deformed to match the pre-contrast image

Guy Marchal, Frederik Maes, Emiliano D'Agostino, 2005 .

Subtraction CT angiography using non-rigid registration: The impact of similarity measure and image pre-processing

Siddharth Srivastava, G. Marchal, F. Maes, 2005 .

Automatic 3D breath-hold related motion correction of dynamic multi-slice MRI. Theory, equations and experiments

Paul Suetens, Jeroen Hermans, Frederik Maes, 2009 .

Left ventricular 4D imaging with low radiation dose through optimised interphase registration of rotational angiography images

H. Heidbuchel, F. Maes, J. Ector, 2013 .

METHODS FOR REORIENTING AND RETRANSFORMING DIFFUSION WEIGHTED IMAGING DATA

F. Maes, P. Suetens, S. Sunaert, 2011 .

Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters

F. Maes, J. Bogaert, P. Claus, 2020, M&Ms and EMIDEC/STACOM@MICCAI.

Automated Multimodality Medical Images Registration using Information Theory

Guy Marchal, Paul Suetens, Andre M. F. Collignon, 1995 .

Assessment of image quality of low-dose multi-slice spiral CT and cone beam CT imaging for 3D image based maxillofacial surgery simulation

Siddharth Srivastava, G. Marchal, F. Maes, 2005 .

PO-0892 TARGET SURFACE BASED FLUENCE DEFORMATION, FOR ADAPTIVE INTENSITY MODULATED RADIOTHERAPY

F. V. Heuvel, F. Maes, K. Haustermans, 2012 .

Evaluation of a novel method for semi-automated delineation

Guy Marchal, Frederik Maes, Michel Feron, 1996 .

Medical image registration using mutual information : a review

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2003 .

An image registration based approach to assess the geometrical accuracy obtainable from spiral CT imaging the European Spine Phantom

Guy Marchal, Paul Suetens, Johan Van Cleynenbreugel, 1995 .

Automatic image partitioning for generic object segmentation in medical images

Guy Marchal, Paul Suetens, Dirk Vandermeulen, 1995 .

Interobserver variability in organ at risk delineation in head and neck cancer

F. Maes, S. Nuyts, A. Gulyban, 2020, Radiation oncology.

An integrated environment aimed at exploiting new possibilities of digital imaging technology

Guy Marchal, Paul Suetens, Johan Van Cleynenbreugel, 1994 .

The Dice Loss in the Context of Missing or Empty Labels: Introducing $\varPhi $ and ε

F. Maes, D. Vandermeulen, D. Robben, 2022, MICCAI.

Patch based super-resolution of MR spectroscopic images

Sabine Van Huffel, Frederik Maes, Dirk Smeets, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Probabilistic framework for subject-specific and population-based analysis of longitudinal changes and disease progression in brain MR images

Paul Suetens, Dirk Vandermeulen, Jeroen Hermans, 2011, Medical Imaging.

SPARC: Unified framework for automatic segmentation, probabilistic atlas construction, registration and clustering of brain MR images

Paul Suetens, Dirk Vandermeulen, Jeroen Hermans, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Non-rigid Atlas-to-Image Registration by Minimization of Class-Conditional Image Entropy

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2004, MICCAI.

A Statistical Framework for Partial Volume Segmentation

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

Automated model-based bias field correction of MR images of the brain

Koenraad Van Leemput, Paul Suetens, Dirk Vandermeulen, 1999, IEEE Transactions on Medical Imaging.

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

Koenraad Van Leemput, Paul Suetens, Dirk Vandermeulen, 1999, IEEE Transactions on Medical Imaging.

Multi-modality image registration by maximization of mutual information

Guy Marchal, Paul Suetens, Andre M. F. Collignon, 1996, Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis.

A spectroscopic study of the chromatic properties of GafChromicEBT3 films.

T Depuydt, F Maes, J D'hooge, 2016, Medical physics.

Benefits of deep learning for delineation of organs at risk in head and neck cancer.

F. Maes, W. Crijns, S. Willems, 2019, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Remodeling of T-Tubules and Reduced Synchrony of Ca2+ Release in Myocytes From Chronically Ischemic Myocardium

Karin Sipido, Frederik Maes, Piet Claus, 2008, Circulation research.

Adenosine-induced ventricular asystole or rapid ventricular pacing to enhance three-dimensional rotational imaging during cardiac ablation procedures.

F. Maes, J. Ector, S. De Buck, 2009, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

Preprocessing of Heteroscedastic Medical Images

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2018, IEEE Access.

Effect of in vivo micro-CT radiation on trabecular bone morphology in mice

F. Maes, G. Carmeliet, S. Torrekens, 2009 .

Automated segmentation of multiple sclerosis lesions by model outlier detection

Koenraad Van Leemput, Paul Suetens, Dirk Vandermeulen, 2001, IEEE Transactions on Medical Imaging.

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging

Sebasti'an Amador S'anchez, Jonathan Cheung-Wai Chana, T. Vercauteren, 2020, ArXiv.

Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index

Matthew B. Blaschko, Dirk Vandermeulen, Frederik Maes, 2020, IEEE Transactions on Medical Imaging.

Development of micro-CT protocols for in vivo follow-up of mouse bone architecture without major radiation side effects.

R Bogaerts, F Maes, F. Maes, 2011, Bone.

Semisupervised Probabilistic Clustering of Brain MR Images Including Prior Clinical Information

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2010, MCV.

Magnetic Resonance Imaging Study of the Level of Termination of the Conus Medullaris and the Thecal Sac: Influence of Age and Gender

G. Marchal, F. Maes, P. Demaerel, 2005, Spine.

A comparative evaluation of cone beam CT and micro-CT on trabecular bone structures in the human mandible.

F Maes, F. Maes, J. Van Dessel, 2013, Dento maxillo facial radiology.

Comparative localized linear accuracy of small-field cone-beam CT and multislice CT for alveolar bone measurements.

R Jacobs, P Suetens, D van Steenberghe, 2008, Oral surgery, oral medicine, oral pathology, oral radiology, and endodontics.

Accuracy of magnetic resonance imaging for measuring fetal sheep lungs and other organs

F. Maes, M. Boulvain, J. Deprest, 2005, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

Convexity-constrained and nonnegativity-constrained spherical factorization in diffusion-weighted imaging

Paul Suetens, Frederik Maes, Daan Christiaens, 2017, NeuroImage.

On the construction of an inter-subject diffusion tensor magnetic resonance atlas of the healthy human brain

Jan Sijbers, Frederik Maes, Wim Van Hecke, 2008, NeuroImage.

Minimal Shape and Intensity Cost Path Segmentation

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2007, IEEE Transactions on Medical Imaging.

Endothelial Msx1 transduces hemodynamic changes into an arteriogenic remodeling response

A. Luttun, F. Maes, J. Schrooten, 2015, The Journal of cell biology.

Linear normalization of MR brain images in pediatric patients with periventricular leukomalacia

Dirk Vandermeulen, Frederik Maes, Horst K. Hahn, 2007, NeuroImage.

Deep learning for elective neck delineation: more consistent and time efficient.

F. Maes, S. Nuyts, S. Willems, 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Clinical Implementation of DeepVoxNet for Auto-Delineation of Organs at Risk in Head and Neck Cancer Patients in Radiotherapy

Frederik Maes, Siri Willems, David Robben, 2018, OR 2.0/CARE/CLIP/ISIC@MICCAI.

68Ga-PSMA-11 PET, 18F-PSMA-1007 PET, and MRI for Gross Tumor Volume Delineation in Primary Prostate Cancer: Intermodality and Intertracer Variability.

F. Maes, K. Haustermans, K. Goffin, 2021, Practical radiation oncology.

Improving T1w MRI-based brain tumor segmentation using cross-modal distillation

Dirk Vandermeulen, Frederik Maes, Jeroen Bertels, 2021, Medical Imaging.

Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI

F. Maes, S. Van Huffel, U. Himmelreich, 2016, NeuroImage: Clinical.

Quantitative MR Imaging

Dirk Vandermeulen, Koen Van Leemput, Frederik Maes, 2001 .

Quantification of Cerebral Grey and White Matter Asymmetry from MRI

Koenraad Van Leemput, Paul Suetens, Dirk Vandermeulen, 1999, MICCAI.

Diffusion-weighted versus volumetric imaging of the striatum in early symptomatic Huntington disease

Frederik Maes, Wim Vandenberghe, Philippe Demaerel, 2009, Journal of Neurology.

Volumetric analysis of extraction sockets using cone beam computed tomography: a pilot study on ex vivo jaw bone.

F. Maes, R. Jacobs, D. van Steenberghe, 2007, Journal of clinical periodontology.

Non-rigid registration with position dependent rigidity for whole body PET follow-up studies

J. Nuyts, P. Dupont, K. De Moor, 2006, 2006 IEEE Nuclear Science Symposium Conference Record.

Medical image registration using mutual information

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2003, Proc. IEEE.

Patch-Based Super-Resolution of MR Spectroscopic Images: Application to Multiple Sclerosis

Sabine Van Huffel, Frederik Maes, Dirk Smeets, 2017, Front. Neurosci..

3D lung registration using splineMIRIT and Robust Tree Registration (RTR)

Paul Suetens, Dirk Vandermeulen, Jeroen Hermans, 2010 .

Automatic analysis of cerebral asymmetry: an exploratory study of the relationship between brain torque and planum temporale asymmetry

Dirk Vandermeulen, Frederik Maes, Neil Roberts, 2005, NeuroImage.

A unifying framework for partial volume segmentation of brain MR images

Koenraad Van Leemput, Paul Suetens, Dirk Vandermeulen, 2003, IEEE Transactions on Medical Imaging.

Comparison and evaluation of retrospective intermodality brain image registration techniques.

Gerald Q. Maguire, M A Viergever, D L Hill, 1997, Journal of computer assisted tomography.

The contribution of magnetic resonance imaging to the three-dimensional treatment planning of localized prostate cancer.

E Bellon, M Feron, H Bosmans, 1999, International journal of radiation oncology, biology, physics.

Biological image-guided radiotherapy in rectal cancer: challenges and pitfalls.

Frederik Maes, Johan Nuyts, Dirk Loeckx, 2009, International journal of radiation oncology, biology, physics.

Interobserver variations in gross tumor volume delineation of brain tumors on CT and impact of MRI

J. Menten, F. Maes, E. Bellon, 1998 .

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

Frederik Maes, Annemarie van der Linden, Marleen Verhoye, 2014, NeuroImage.

Radiation dose vs. image quality for low-dose CT protocols of the head for maxillofacial surgery and oral implant planning.

R Jacobs, P Suetens, R Bogaerts, 2005, Radiation protection dosimetry.

Resorption of retromolar bone grafts after alveolar ridge augmentation—volumetric changes after 12 months assessed by CBCT analysis

F. Maes, R. Jacobs, Jonathan Fleiner, 2021, International journal of implant dentistry.

Closed-chest animal model of chronic coronary artery stenosis. Assessment with magnetic resonance imaging

F. Maes, S. Dymarkowski, J. Bogaert, 2010, The International Journal of Cardiovascular Imaging.

Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice

Matthew B. Blaschko, Dirk Vandermeulen, Frederik Maes, 2019, MICCAI.

Calibrating page sized Gafchromic EBT3 films.

F Maes, U A van der Heide, F. Maes, 2013, Medical physics.

TH‐E‐BRB‐03: Incorporating a Lateral Scan Effect Correction in a EBT3 Calibration Protocol

F. V. Heuvel, F. Maes, K. Haustermans, 2012 .

Construction of a Brain Template from MR Images Using State-of-the-Art Registration and Segmentation Techniques

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2004, MICCAI.

Non-rigid Image Registration Using a Statistical Spline Deformation Model

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2003, IPMI.

Predicting soft tissue deformations for a maxillofacial surgery planning system: From computational strategies to a complete clinical validation

Paul Suetens, Frederik Maes, Filip Schutyser, 2007, Medical Image Anal..

Unsupervised Segmentation, Clustering, and Groupwise Registration of Heterogeneous Populations of Brain MR Images

Paul Suetens, Dirk Vandermeulen, Jeroen Hermans, 2014, IEEE Transactions on Medical Imaging.

Image registration using mutual information

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2015 .

Feature-based statistical analysis of structural MR data for automatic detection of focal cortical dysplastic lesions

Patrick Dupont, Paul Suetens, Dirk Vandermeulen, 2005, NeuroImage.

Impaired recognition of body expressions in the behavioral variant of frontotemporal dementia

Frederik Maes, Stefan Sunaert, Mathieu Vandenbulcke, 2015, Neuropsychologia.

Automatic 3-D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformations. I. Methodology and validation on normal subjects

Benoit M. Dawant, Dirk Vandermeulen, Frederik Maes, 1999, IEEE Transactions on Medical Imaging.

Temporal Subtraction of Thorax CR Images

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2003, MICCAI.

FDG-PET scan in potentially operable non-small cell lung cancer: do anatometabolic PET-CT fusion images improve the localisation of regional lymph node metastases?

F. Maes, J. Bogaert, J. Nuyts, 1998, European Journal of Nuclear Medicine.

Comparison and evaluation of retrospective intermodality image registration techniques

Benoit M. Dawant, Colin Studholme, Robert M. Kessler, 1996, Medical Imaging.

Simultaneous segmentation and anatomical labeling of the cerebral vasculature

Pascal Fua, Paul Suetens, Frederik Maes, 2016, Medical Image Anal..

Simultaneous Segmentation and Anatomical Labeling of the Cerebral Vasculature

Pascal Fua, Paul Suetens, Frederik Maes, 2014, MICCAI.

Modeling the dose dependence of the vis‐absorption spectrum of EBT3 GafChromic™ films

F. Maes, K. Haustermans, M. Wevers, 2017, Medical physics.

Free-Form Registration Using Mutual Information and Curvature Regularization

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2003, WBIR.

An Information Theoretic Approach for Non-rigid Image Registration Using Voxel Class Probabilities

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2003, WBIR.

A Viscous Fluid Model for Multimodal Non-rigid Image Registration Using Mutual Information

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2002, MICCAI.

Non-rigid Multimodal Image Registration Using Mutual Information

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 1998, MICCAI.

Atlas-to-Image Non-rigid Registration by Minimization of Conditional Local Entropy

Paul Suetens, Dirk Vandermeulen, Frederik Maes, 2007, IPMI.

Early decrease of type 1 cannabinoid receptor binding and phosphodiesterase 10A activity in vivo in R6/2 Huntington mice

F. Maes, G. Bormans, K. Laere, 2014, Neurobiology of Aging.

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..

The successive projection algorithm as an initialization method for brain tumor segmentation using non-negative matrix factorization

Sabine Van Huffel, Frederik Maes, Jelle Veraart, 2017, PloS one.

Comparative study of image quality and radiation dose of MSCT and CBCT scanners in dentomaxillofacial radiology

G. Marchal, F. Maes, P. Suetens, 2007 .

icobrain ms 5.1: Combining unsupervised and supervised approaches for improving the detection of multiple sclerosis lesions

Saurabh Jain, D. Smeets, S. Van Huffel, 2021, NeuroImage: Clinical.

Relationship between multiple sclerosis intention tremor severity and lesion load in the brainstem

W. Helsen, F. Maes, B. Nuttin, 2005, Neuroreport.

Evaluation of the specificity and sensitivity of ferritin as an MRI reporter gene in the mouse brain using lentiviral and adeno-associated viral vectors

U Himmelreich, F Maes, R Vreys, 2011, Gene Therapy.

Differential effects of progenitor cell populations on left ventricular remodeling and myocardial neovascularization after myocardial infarction.

F. Van de Werf, F. Maes, J. Bogaert, 2010, Journal of the American College of Cardiology.

Multi-phase rotational angiography of the left ventricle to assist ablations: feasibility and accuracy of novel imaging.

Koen Michielsen, Frederik Maes, Johan Nuyts, 2016, European heart journal cardiovascular Imaging.

Advanced Imaging in Gastrointestinal Endoscopy: A Literature Review of the Current State of the Art

F. Maes, S. Vermeire, R. Bisschops, 2022, GE - Portuguese Journal of Gastroenterology.

Image Based Musculoskeletal Modeling Allows Personalized Biomechanical Analysis of Gait

Paul Suetens, Ilse Jonkers, Frederik Maes, 2006, ISBMS.

An augmented reality system for patient-specific guidance of cardiac catheter ablation procedures

Paul Suetens, Frederik Maes, Jan Bogaert, 2005, IEEE Transactions on Medical Imaging.

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.

Inferring brain deformation during open neurosurgery using CBCT angiography

Paul Suetens, Frederik Maes, Olivier Brina, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

A Semi-Automated Segmentation Framework for MRI Based Brain Tumor Segmentation Using Regularized Nonnegative Matrix Factorization

Sabine Van Huffel, Eric Achten, Frederik Maes, 2016, 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).

Atlas-Guided Global Tractography: Imposing a Prior on the Local Track Orientation

Paul Suetens, Frederik Maes, Thijs Dhollander, 2014 .

Automated Segmentation of MS Lesions from Multi-channel MR Images

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

Three-Dimensional Cardiac Strain Estimation Using Spatio–Temporal Elastic Registration of Ultrasound Images: A Feasibility Study

Paul Suetens, Frederik Maes, Jan D'hooge, 2008, IEEE Transactions on Medical Imaging.

Dry preparation for virtual CT colonography with fecal tagging using water-soluble contrast medium: initial results

Guy Marchal, Frederik Maes, Gabriel Kiss, 2003, European Radiology.

Tu1959 BLI AND LCI IMPROVE POLYP DETECTION AND DELINEATION ACCURACY FOR DEEP LEARNING NETWORKS

F. Maes, C. Hassan, O. Pech, 2019, Gastrointestinal Endoscopy.

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.

Perfusion Paths: Inference of Voxelwise Blood Flow Trajectories in CT Perfusion

Paul Suetens, Frederik Maes, David Robben, 2015, MICCAI.

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.

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.

Pitfalls in training and validation of deep learning systems.

F. Maes, R. Bisschops, P. Sinonquel, 2020, Best practice & research. Clinical gastroenterology.

Evaluation of tissue displacement and regional strain in the Achilles tendon using quantitative high-frequency ultrasound

F. Maes, P. Suetens, K. Desloovere, 2017, PloS one.

The Role of Medical Image Computing and Machine Learning in Healthcare

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

Effects of immediate and delayed loading on peri-implant trabecular structures: a cone beam CT evaluation.

F. Maes, R. Jacobs, Y. Huang, 2014, Clinical implant dentistry and related research.

Nonrigid Image Registration Using Conditional Mutual Information

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

Segmentation of Trabecular Jaw Bone on Cone Beam CT Datasets.

Reinhilde Jacobs, Olivia Nackaerts, Frederik Maes, 2015, Clinical implant dentistry and related research.

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

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

SU-E-T-497: Initial Characterization of a Novel 2D Computed Radiography (CR) Dosimeter for SBRT

F. Maes, K. Haustermans, T. Depuydt, 2015 .

Artificial Intelligence Based Patient-Specific Preoperative Planning Algorithm for Total Knee Arthroplasty

S. Huffel, F. Maes, R. Wirix-Speetjens, 2022, Frontiers in Robotics and AI.

Assessment of variability in cerebral vasculature for neuro-anatomical surgery planning in rodent brain

P. Suetens, F. Maes, J. R. Rangarajan, 2011, Medical Imaging.

White Matter Fiber-Bundle Analysis Using Non-negative Tensor Factorization

Frederik Maes, Sabine Van Huffel, Claudio Stamile, 2016, ICIAR.

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

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

An untrained and unsupervised method for MRI brain tumor segmentation

Paul Suetens, Frederik Maes, Tom Haeck, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

ISLES Challenge 2015: Automated Model-Based Segmentation of Ischemic Stroke in MR Images

Paul Suetens, Frederik Maes, Tom Haeck, 2015, Brainles@MICCAI.

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 .

Combined T1‐T2 mapping of human femoro‐tibial cartilage with turbo‐mixed imaging at 1.5T

G. Marchal, F. Maes, H. Bosmans, 2005, Journal of magnetic resonance imaging : JMRI.

3D Left Ventricular Segmentation from 2D Cardiac MR Images Using Spatial Context

Frederik Maes, Sofie Tilborghs, Piet Claus, 2019, STACOM@MICCAI.

Segmentation of head-and-neck organs-at-risk in longitudinal CT scans combining deformable registrations and convolutional neural networks

Frederik Maes, Siri Willems, David Robben, 2019, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Robust Model-Based Registration of Cardiac MR Images for T1 and ECV Mapping

Paul Suetens, Frederik Maes, Piet Claus, 2017, FIMH.

Optimized preoperative motor cortex mapping in brain tumors using advanced processing of transcranial magnetic stimulation data

Frederik Maes, Tom Haeck, Wim Van Paesschen, 2019, NeuroImage: Clinical.

On the Relationship Between Calibrated Predictors and Unbiased Volume Estimation pdf

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

Parameter Optimisation of a Linear Tetrahedral Mass Tensor Model for a Maxillofacial Soft Tissue Simulator

Paul Suetens, Frederik Maes, Filip Schutyser, 2006, ISBMS.

Multiparametric Non-Negative Matrix Factorization for Longitudinal Variations Detection in White-Matter Fiber Bundles

Sabine Van Huffel, Frederik Maes, François Cotton, 2017, IEEE Journal of Biomedical and Health Informatics.

Registration-based filtering: An acceptable tool for noise reduction in left ventricular dynamic rotational angiography images?

Frederik Maes, Stijn De Buck, Joris Ector, 2014, Medical Imaging.

Left ventricular four-dimensional rotational angiography with low radiation dose through interphase registration.

H. Heidbuchel, F. Maes, J. Ector, 2015, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

Biomechanically Based Elastic Breast Registration Using Mass Tensor Simulation

Paul Suetens, Frederik Maes, Dirk Loeckx, 2006, MICCAI.

Simulation of Soft-Tissue Deformations for Breast Augmentation Planning

Paul Suetens, Frederik Maes, Liesbet Roose, 2006, ISBMS.

Elastic Image Registration Versus Speckle Tracking for 2-D Myocardial Motion Estimation: A Direct Comparison In Vivo

Frederik Maes, Jan D'hooge, Piet Claus, 2013, IEEE Transactions on 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.