Frederik Maes - RankMe

151 papers A 8B 12Journal 54Unranked 76

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond Segmentation: Confidence-Aware and Debiased Estimation of Ratio-based Biomarkers. CoRR Jiameng Li, Teodora Popordanoska, Sebastian G. Gruber, Frederik Maes, Matthew B. Blaschko
2023	—	`conf`	Cascade UNets for Kidney and Kidney Tumor Segmentation. KiTS@MICCAI Konstantinos Koukoutegos, Frederik Maes, Hilde Bosmans
2023	—	`conf`	Deep Learning Approaches for Automated Classification of Muscular Dystrophies from MRI. MICAD Lotte Huysmans, Bram De Wel, Louise Iterbeke, Kristl G. Claeys, Frederik Maes
2023	J	`jnl`	Factorizer: A scalable interpretable approach to context modeling for medical image segmentation. Medical Image Anal. Pooya Ashtari, Diana Maria Sima, Lieven De Lathauwer, Dominique Sappey-Marinier, Frederik Maes, Sabine Van Huffel
2023	—	`conf`	From Brain Tissue Infarction at 24 Hours to Patient Functional Outcome at 90 Days Using Deep Learning. BrainLes/SWITCH@MICCAI Marie Ulens, Jeroen Bertels, Ewout Heylen, Julie Lambert, Jelle Demeestere, Robin Lemmens, Dirk Vandermeulen, Frederik Maes
2023	—	`conf`	Functional Outcome Prediction in Acute Ischemic Stroke. BrainLes/SWITCH@MICCAI 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
2022	B	`conf`	A Kernel Based Multilinear SVD Approach for Multiple Sclerosis Profiles Classification. ESANN Berardino Barile, Pooya Ashtari, Françoise Durand-Dubief, Frederik Maes, Dominique Sappey-Marinier, Sabine Van Huffel
2022	J	`jnl`	Artificial Intelligence Based Patient-Specific Preoperative Planning Algorithm for Total Knee Arthroplasty. Frontiers Robotics AI Adriaan Lambrechts, Roel Wirix-Speetjens, Frederik Maes, Sabine Van Huffel
2022	J	`jnl`	Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome. Frontiers Robotics AI Berardino Barile, Pooya Ashtari, Claudio Stamile, Aldo Marzullo, Frederik Maes, Françoise Durand-Dubief, Sabine Van Huffel, Dominique Sappey-Marinier
2022	J	`jnl`	Corrigendum: Artificial Intelligence Based Patient-Specific Preoperative Planning Algorithm for Total Knee Arthroplasty. Frontiers Robotics AI Adriaan Lambrechts, Roel Wirix-Speetjens, Frederik Maes, Sabine Van Huffel
2022	J	`jnl`	Cross-Modal Distillation to Improve MRI-Based Brain Tumor Segmentation With Missing MRI Sequences. IEEE Trans. Biomed. Eng. Masoomeh Rahimpour, Jeroen Bertels, Ahmed Radwan, Henri Vandermeulen, Stefan Sunaert, Dirk Vandermeulen, Frederik Maes, Karolien Goffin, Michel Koole
2022	J	`jnl`	Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation. CoRR Pooya Ashtari, Diana Maria Sima, Lieven De Lathauwer, Dominique Sappey-Marinier, Frederik Maes, Sabine Van Huffel
2022	J	`jnl`	Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI. CoRR Sofie Tilborghs, Jan Bogaert, Frederik Maes
2022	J	`jnl`	Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI. Medical Image Anal. Sofie Tilborghs, Jan Bogaert, Frederik Maes
2022	—	`conf`	The Dice Loss in the Context of Missing or Empty Labels: Introducing $\varPhi $ and ε. MICCAI (5) Sofie Tilborghs, Jeroen Bertels, David Robben, Dirk Vandermeulen, Frederik Maes
2022	J	`jnl`	The Dice loss in the context of missing or empty labels: Introducing Φ and ε. CoRR Sofie Tilborghs, Jeroen Bertels, David Robben, Dirk Vandermeulen, Frederik Maes
2021	—	`ch.`	Convolutional LSTM. Computer-Aided Analysis of Gastrointestinal Videos Tom Eelbode, Pieter Sinonquel, Raf Bisschops, Frederik Maes
2021	B	`conf`	Improving T1w MRI-based brain tumor segmentation using cross-modal distillation. Image Processing Masoomeh Rahimpour, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Karolien Goffin, Michel Koole
2021	—	`conf`	Learning from Mistakes: An Error-Driven Mechanism to Improve Segmentation Performance Based on Expert Feedback. CLIP/DCL/LL-COVID19/PPML@MICCAI Siri Willems, Heleen Bollen, Julie Van Der Veen, Edmond Sterpin, Wouter Crijns, Sandra Nuyts, Frederik Maes
2021	—	`conf`	On the Relationship Between Calibrated Predictors and Unbiased Volume Estimation. MICCAI (1) Teodora Popordanoska, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Matthew B. Blaschko
2021	J	`jnl`	On the relationship between calibrated predictors and unbiased volume estimation. CoRR Teodora Popordanoska, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Matthew B. Blaschko
2020	J	`jnl`	Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients. CoRR 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, Annemiek Snoeckx, Paul M. Parizel, Johan de Mey, Dirk Vandermeulen, Tom Vercauteren, David Robben, Dirk Smeets, Frederik Maes, Jef Vandemeulebroucke, Paul Suetens
2020	J	`jnl`	Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. CoRR 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, Fei Li, Shangzhen Song, Yixin Yang, Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Lucas Fidon, Tom Vercauteren, David Robben, Arne Brys, Dirk Smeets, Bart Ilsen, Nico Buls, Nina Watté, Johan de Mey, Annemiek Snoeckx, Paul M. Parizel, Julien Guiot, Louis Deprez, Paul Meunier, Stefaan Gryspeerdt, Kristof De Smet, Bart Jansen, Jef Vandemeulebroucke
2020	—	`conf`	Low-Rank Convolutional Networks for Brain Tumor Segmentation. BrainLes@MICCAI (1) Pooya Ashtari, Frederik Maes, Sabine Van Huffel
2020	J	`jnl`	Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index. IEEE Trans. Medical Imaging Tom Eelbode, Jeroen Bertels, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew B. Blaschko
2020	J	`jnl`	Optimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index. CoRR Tom Eelbode, Jeroen Bertels, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew B. Blaschko
2020	J	`jnl`	Segmentation of head-and-neck organs-at-risk in longitudinal CT scans combining deformable registrations and convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Liesbeth Vandewinckele, Siri Willems, David Robben, Julie Van Der Veen, Wouter Crijns, Sandra Nuyts, Frederik Maes
2020	—	`conf`	Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters. M&Ms and EMIDEC/STACOM@MICCAI Sofie Tilborghs, Tom Dresselaers, Piet Claus, Jan Bogaert, Frederik Maes
2020	J	`jnl`	Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters. CoRR Sofie Tilborghs, Tom Dresselaers, Piet Claus, Jan Bogaert, Frederik Maes
2019	—	`conf`	3D Left Ventricular Segmentation from 2D Cardiac MR Images Using Spatial Context. STACOM@MICCAI Sofie Tilborghs, Tom Dresselaers, Piet Claus, Jan Bogaert, Frederik Maes
2019	—	`conf`	Feasibility of CT-Only 3D Dose Prediction for VMAT Prostate Plans Using Deep Learning. AIRT@MICCAI Siri Willems, Wouter Crijns, Edmond Sterpin, Karin Haustermans, Frederik Maes
2019	—	`conf`	Left Ventricular Parameter Regression from Deep Feature Maps of a Jointly Trained Segmentation CNN. STACOM@MICCAI Sofie Tilborghs, Frederik Maes
2019	J	`jnl`	Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice. CoRR Jeroen Bertels, Tom Eelbode, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew B. Blaschko
2019	—	`conf`	Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice. MICCAI (2) Jeroen Bertels, Tom Eelbode, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew B. Blaschko
2019	J	`jnl`	Robust motion correction for cardiac T1 and ECV mapping using a T1 relaxation model approach. Medical Image Anal. Sofie Tilborghs, Tom Dresselaers, Piet Claus, Guido Claessen, Jan Bogaert, Frederik Maes, Paul Suetens
2018	—	`conf`	Clinical Implementation of DeepVoxNet for Auto-Delineation of Organs at Risk in Head and Neck Cancer Patients in Radiotherapy. OR 2.0/CARE/CLIP/ISIC@MICCAI Siri Willems, Wouter Crijns, Agustina La Greca Saint-Esteven, Julie Van Der Veen, David Robben, Tom Depuydt, Sandra Nuyts, Karin Haustermans, Frederik Maes
2018	J	`jnl`	Preprocessing of Heteroscedastic Medical Images. IEEE Access Philip Joris, Wim De Maerteleire, Wim Van De Voorde, Paul Suetens, Frederik Maes, Dirk Vandermeulen, Peter Claes
2018	—	`conf`	Segmentation of Head and Neck Organs-At-Risk in Longitudinal CT Scans Combining Deformable Registrations and Convolutional Neural Networks. DLMIA/ML-CDS@MICCAI Liesbeth Vandewinckele, David Robben, Wouter Crijns, Frederik Maes
2017	B	`conf`	Comparison of manual and semi-manual delineations for classifying glioblastoma multiforme patients based on histogram and texture MRI features. ESANN Adrian Ion-Margineanu, Sofie Van Cauter, Diana Maria Sima, Frederik Maes, Stefan Sunaert, Uwe Himmelreich, Sabine Van Huffel
2017	J	`jnl`	Convexity-constrained and nonnegativity-constrained spherical factorization in diffusion-weighted imaging. NeuroImage Daan Christiaens, Stefan Sunaert, Paul Suetens, Frederik Maes
2017	J	`jnl`	Multiparametric Non-Negative Matrix Factorization for Longitudinal Variations Detection in White-Matter Fiber Bundles. IEEE J. Biomed. Health Informatics Claudio Stamile, Gabriel Kocevar, François Cotton, Frederik Maes, Dominique Sappey-Marinier, Sabine Van Huffel
2017	—	`conf`	Robust Model-Based Registration of Cardiac MR Images for T1 and ECV Mapping. FIMH Sofie Tilborghs, Tom Dresselaers, Piet Claus, Guido Claessen, Jan Bogaert, Frederik Maes, Paul Suetens
2017	J	`jnl`	Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization. BMC Medical Imaging Nicolas Sauwen, Marjan Acou, Diana Maria Sima, Jelle Veraart, Frederik Maes, Uwe Himmelreich, Eric Achten, Sabine Van Huffel
2016	—	`conf`	A Semi-Automated Segmentation Framework for MRI Based Brain Tumor Segmentation Using Regularized Nonnegative Matrix Factorization. SITIS Nicolas Sauwen, Diana Maria Sima, Marjan Acou, Eric Achten, Frederik Maes, Uwe Himmelreich, Sabine Van Huffel
2016	—	`conf`	An untrained and unsupervised method for MRI brain tumor segmentation. ISBI Tom Haeck, Frederik Maes, Paul Suetens
2016	—	`conf`	Inferring brain deformation during open neurosurgery using CBCT angiography. ISBI Niels Verheyen, David Robben, Daniel Ruijters, Vitor Mendes Pereira, Olivier Brina, Frederik Maes, Paul Suetens
2016	B	`conf`	Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation. ESANN Nicolas Sauwen, Marjan Acou, Halandur Nagaraja Bharath, Diana Maria Sima, Jelle Veraart, Frederik Maes, Uwe Himmelreich, Eric Achten, Sabine Van Huffel
2016	—	`conf`	Patch based super-resolution of MR spectroscopic images. ISBI Saurabh Jain, Diana Maria Sima, Faezeh Sanaei Nezhad, Steve Williams, Sabine Van Huffel, Frederik Maes, Dirk Smeets
2016	J	`jnl`	Simultaneous segmentation and anatomical labeling of the cerebral vasculature. Medical Image Anal. David Robben, Engin Türetken, Stefan Sunaert, Vincent Thijs, Guy Willems, Pascal Fua, Frederik Maes, Paul Suetens
2016	—	`conf`	Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation. MCV/BAMBI@MICCAI Saurabh Jain, Annemie Ribbens, Diana Maria Sima, Sabine Van Huffel, Frederik Maes, Dirk Smeets
2016	—	`conf`	Validation of an Improved Patient-Specific Mold Design for Registration of In-vivo MRI and Histology of the Prostate. CLIP@MICCAI 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, Karin Haustermans
2016	—	`conf`	White Matter Fiber-Bundle Analysis Using Non-negative Tensor Factorization. ICIAR Claudio Stamile, François Cotton, Frederik Maes, Dominique Sappey-Marinier, Sabine Van Huffel
2015	—	`conf`	A Voxel-Wise, Cascaded Classification Approach to Ischemic Stroke Lesion Segmentation. Brainles@MICCAI David Robben, Daan Christiaens, Janaki Raman Rangarajan, Jaap Gelderblom, Philip Joris, Frederik Maes, Paul Suetens
2015	—	`conf`	Convex Non-negative Spherical Factorization of Multi-Shell Diffusion-Weighted Images. MICCAI (1) Daan Christiaens, Frederik Maes, Stefan Sunaert, Paul Suetens
2015	J	`jnl`	Global tractography of multi-shell diffusion-weighted imaging data using a multi-tissue model. NeuroImage Daan Christiaens, Marco Reisert, Thijs Dhollander, Stefan Sunaert, Paul Suetens, Frederik Maes
2015	—	`conf`	ISLES Challenge 2015: Automated Model-Based Segmentation of Ischemic Stroke in MR Images. Brainles@MICCAI Tom Haeck, Frederik Maes, Paul Suetens
2015	—	`conf`	Perfusion Paths: Inference of Voxelwise Blood Flow Trajectories in CT Perfusion. MICCAI (2) David Robben, Stefan Sunaert, Vincent Thijs, Guy Willms, Frederik Maes, Paul Suetens
2014	J	`jnl`	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. NeuroImage Caroline Guglielmetti, Jelle Praet, Janaki Raman Rangarajan, Ruth Vreys, Nathalie De Vocht, Frederik Maes, Marleen Verhoye, Peter Ponsaerts, Annemie van der Linden
2014	—	`conf`	Registration-based filtering: An acceptable tool for noise reduction in left ventricular dynamic rotational angiography images? Image-Guided Procedures Jean-Yves Wielandts, Stijn De Buck, Joris Ector, Dieter Nuyens, Frederik Maes, Hein Heidbüchel
2014	—	`conf`	Simultaneous Segmentation and Anatomical Labeling of the Cerebral Vasculature. MICCAI (1) David Robben, Engin Türetken, Stefan Sunaert, Vincent Thijs, Guy Willms, Pascal Fua, Frederik Maes, Paul Suetens
2014	J	`jnl`	Track Orientation Density Imaging (TODI) and Track Orientation Distribution (TOD) based tractography. NeuroImage Thijs Dhollander, Louise Emsell, Wim Van Hecke, Frederik Maes, Stefan Sunaert, Paul Suetens
2014	J	`jnl`	Unsupervised Segmentation, Clustering, and Groupwise Registration of Heterogeneous Populations of Brain MR Images. IEEE Trans. Medical Imaging Annemie Ribbens, Jeroen Hermans, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2013	—	`conf`	Anatomical Labeling of the Circle of Willis Using Maximum A Posteriori Graph Matching. MICCAI (1) David Robben, Stefan Sunaert, Vincent Thijs, Guy Willms, Frederik Maes, Paul Suetens
2013	J	`jnl`	Elastic Image Registration Versus Speckle Tracking for 2-D Myocardial Motion Estimation: A Direct Comparison In Vivo. IEEE Trans. Medical Imaging Brecht Heyde, Ruta Jasaityte, Daniel Barbosa, Valérie Robesyn, Stefaan Bouchez, Patrick Wouters, Frederik Maes, Piet Claus, Jan D'hooge
2013	—	`conf`	Groupwise Deformable Registration of Fiber Track Sets Using Track Orientation Distributions. CDMRI/MMBC@MICCAI Daan Christiaens, Thijs Dhollander, Frederik Maes, Stefan Sunaert, Paul Suetens
2013	—	`conf`	Influence of the Grid Topology of Free-Form Deformation Models on the Performance of 3D Strain Estimation in Echocardiography. FIMH Brecht Heyde, Daniel Barbosa, Piet Claus, Frederik Maes, Jan D'hooge
2012	—	`conf`	Intra-patient Non-rigid Registration of 3D Vascular Cerebral Images. CLIP David Robben, Dirk Smeets, Daniel Ruijters, McElory Hoffmann, Laura Antanas, Frederik Maes, Paul Suetens
2012	—	`conf`	Motion and deformation estimation of cardiac ultrasound sequences using an anatomical B-spline transformation model. ISBI Brecht Heyde, Piet Claus, Ruta Jasaityte, Daniel Barbosa, Stefaan Bouchez, Michael Vandenheuvel, Patrick Wouters, Frederik Maes, Jan D'hooge
2012	J	`jnl`	Quantitative evaluation of MRI-based tracking of ferritin-labeled endogenous neural stem cell progeny in rodent brain. NeuroImage 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
2012	—	`conf`	Three-Dimensional Cardiac Motion Estimation Based on Non-rigid Image Registration Using a Novel Transformation Model Adapted to the Heart. STACOM Brecht Heyde, Daniel Barbosa, Piet Claus, Frederik Maes, Jan D'hooge
2011	—	`conf`	A 3D+Time Spatio-temporal Model for Joint Segmentation and Registration of Sparse Cardiac Cine MR Image Stacks. STACOM An Elen, Jeroen Hermans, Hadewich Hermans, Frederik Maes, Paul Suetens
2011	—	`conf`	Feasibility and Advantages of Diffusion Weighted Imaging Atlas Construction in Q-Space. MICCAI (2) Thijs Dhollander, Jelle Veraart, Wim Van Hecke, Frederik Maes, Stefan Sunaert, Jan Sijbers, Paul Suetens
2011	—	`conf`	Impact of RF inhomogeneity correction on image registration of micro MRI rodent brain images. ISBI Janaki Raman Rangarajan, Dirk Loeckx, Greetje Vande Velde, Tom Dresselaers, Uwe Himmelreich, Frederik Maes, Paul Suetens
2011	B	`conf`	Probabilistic framework for subject-specific and population-based analysis of longitudinal changes and disease progression in brain MR images. Image Processing Annemie Ribbens, Jeroen Hermans, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2010	J	`jnl`	Automatic 3-D Breath-Hold Related Motion Correction of Dynamic Multislice MRI. IEEE Trans. Medical Imaging An Elen, Jeroen Hermans, Javier Ganame, Dirk Loeckx, Jan Bogaert, Frederik Maes, Paul Suetens
2010	J	`jnl`	Nonrigid Image Registration Using Conditional Mutual Information. IEEE Trans. Medical Imaging Dirk Loeckx, Pieter Slagmolen, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2010	—	`conf`	SPARC: unified framework for automatic segmentation, probabilistic atlas construction, registration and clustering of brain MR images. ISBI Annemie Ribbens, Jeroen Hermans, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2010	—	`conf`	Semisupervised Probabilistic Clustering of Brain MR Images Including Prior Clinical Information. MCV Annemie Ribbens, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2010	—	`conf`	Voxel based nonrigid image registration using local and partial volume similarity measures. ISBI Dirk Loeckx, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2009	—	`conf`	The Minimal Entropy Prior for Simultaneous Reconstruction and Segmentation of in Vivo Microct Trabecular Bone Images. ISBI Maarten Depypere, Johan Nuyts, Kjell Laperre, Geert Carmeliet, Frederik Maes, Paul Suetens
2009	B	`conf`	Validation of nonrigid registration for multi-tracer PET-CT treatment planning in rectal cancer radiotherapy. Image Processing Pieter Slagmolen, Sarah Roels, Dirk Loeckx, Karin Haustermans, Frederik Maes
2008	—	`conf`	A statistical framework for the registration of 3D knee implant components to single-plane X-ray images. CVPR Workshops Jeroen Hermans, Johan Bellemans, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2008	—	`conf`	Adaptive Boundary Conditions for Physically Based Follow-Up Breast MR Image Registration. MICCAI (2) Liesbet Roose, Dirk Loeckx, Wouter Mollemans, Frederik Maes, Paul Suetens
2008	—	`conf`	Model-Based Segmentation Using Graph Representations. MICCAI (1) Dieter Seghers, Jeroen Hermans, Dirk Loeckx, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2008	J	`jnl`	On the construction of an inter-subject diffusion tensor magnetic resonance atlas of the healthy human brain. NeuroImage Wim Van Hecke, Jan Sijbers, Emiliano D'Agostino, Frederik Maes, Steve De Backer, Everhard Vandervliet, Paul M. Parizel, Alexander Leemans
2008	J	`jnl`	Three-Dimensional Cardiac Strain Estimation Using Spatio-Temporal Elastic Registration of Ultrasound Images: A Feasibility Study. IEEE Trans. Medical Imaging An Elen, Hon Fai Choi, Dirk Loeckx, Hang Gao, Piet Claus, Paul Suetens, Frederik Maes, Jan D'hooge
2007	—	`conf`	Atlas-to-Image Non-rigid Registration by Minimization of Conditional Local Entropy. IPMI Emiliano D'Agostino, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2007	—	`conf`	Evaluation of a Novel Calibration Technique for Optically Tracked Oblique Laparoscopes. MICCAI (1) Stijn De Buck, Frederik Maes, André D'Hoore, Paul Suetens
2007	J	`jnl`	Linear normalization of MR brain images in pediatric patients with periventricular leukomalacia. NeuroImage Bart Machilsen, Emiliano D'Agostino, Frederik Maes, Dirk Vandermeulen, Horst K. Hahn, Lieven Lagae, Peter Stiers
2007	J	`jnl`	Minimal Shape and Intensity Cost Path Segmentation. IEEE Trans. Medical Imaging Dieter Seghers, Dirk Loeckx, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2007	—	`conf`	Nonrigid Image Registration Using Conditional Mutual Information. IPMI Dirk Loeckx, Pieter Slagmolen, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2007	J	`jnl`	Predicting soft tissue deformations for a maxillofacial surgery planning system: From computational strategies to a complete clinical validation. Medical Image Anal. Wouter Mollemans, Filip Schutyser, Nasser Nadjmi, Frederik Maes, Paul Suetens
2007	B	`conf`	Visual enhancement of interval changes using a temporal subtraction technique. Image Processing Dieter Seghers, Dirk Loeckx, Frederik Maes, Paul Suetens
2006	—	`conf`	3D soft tissue predictions with a tetrahedral mass tensor model for a maxillofacial planning system: a quantitative validation study. Image-Guided Procedures Wouter Mollemans, Filip Schutyser, Nasser Nadjmi, Frederik Maes, Paul Suetens
2006	—	`conf`	A Unified Framework for Atlas Based Brain Image Segmentation and Registration. WBIR Emiliano D'Agostino, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2006	J	`jnl`	An information theoretic approach for non-rigid image registration using voxel class probabilities. Medical Image Anal. Emiliano D'Agostino, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2006	—	`conf`	Biomechanically Based Elastic Breast Registration Using Mass Tensor Simulation. MICCAI (2) Liesbet Roose, Wouter Mollemans, Dirk Loeckx, Frederik Maes, Paul Suetens
2006	—	`conf`	Comparison Between Parzen Window Interpolation and Generalised Partial Volume Estimation for Nonrigid Image Registration Using Mutual Information. WBIR Dirk Loeckx, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2006	—	`conf`	Image Based Musculoskeletal Modeling Allows Personalized Biomechanical Analysis of Gait. ISBMS Lennart Scheys, Ilse Jonkers, Dirk Loeckx, Frederik Maes, Arthur Spaepen, Paul Suetens
2006	B	`conf`	Image segmentation using local shape and gray-level appearance models. Image Processing Dieter Seghers, Dirk Loeckx, Frederik Maes, Paul Suetens
2006	B	`conf`	Large-scale validation of non-rigid registration algorithms for atlas-based brain image segmentation. Image Processing Qian Wang, Emiliano D'Agostino, Dieter Seghers, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2006	B	`conf`	Non-rigid brain image registration using a statistical deformation model. Image Processing Jeroen Wouters, Emiliano D'Agostino, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2006	—	`conf`	Nonrigid Registration of Multitemporal CT and MR Images for Radiotherapy Treatment Planning. WBIR Pieter Slagmolen, Dirk Loeckx, Sarah Roels, Xavier Geets, Frederik Maes, Karin Haustermans, Paul Suetens
2006	—	`conf`	Parameter Optimisation of a Linear Tetrahedral Mass Tensor Model for a Maxillofacial Soft Tissue Simulator. ISBMS Wouter Mollemans, Filip Schutyser, Nasser Nadjmi, Frederik Maes, Paul Suetens
2006	—	`conf`	Pre-operative simulation and post-operative validation of soft-tissue deformations for breast implantation planning. Image-Guided Procedures Liesbet Roose, Wim De Maerteleire, Wouter Mollemans, Frederik Maes, Paul Suetens
2006	—	`conf`	Simulation of Soft-Tissue Deformations for Breast Augmentation Planning. ISBMS Liesbet Roose, Wim De Maerteleire, Wouter Mollemans, Frederik Maes, Paul Suetens
2005	J	`jnl`	An augmented reality system for patient-specific guidance of cardiac catheter ablation procedures. IEEE Trans. Medical Imaging Stijn De Buck, Frederik Maes, Joris Ector, Jan Bogaert, Steven Dymarkowski, Hein Heidbüchel, Paul Suetens
2005	J	`jnl`	Automatic analysis of cerebral asymmetry: an exploratory study of the relationship between brain torque and planum temporale asymmetry. NeuroImage Thomas R. Barrick, Clare E. Mackay, Sylvain Prima, Frederik Maes, Dirk Vandermeulen, Timothy J. Crow, Neil Roberts
2005	—	`conf`	Catheter based calibration for augmented reality guidance of cardiac thermo-ablation procedures. Image-Guided Procedures Stijn De Buck, Frederik Maes, Joris Ector, Hein Heidbüchel, Paul Suetens
2005	—	`conf`	Construction and Validation of Mean Shape Atlas Templates for Atlas-Based Brain Image Segmentation. IPMI Qian Wang, Dieter Seghers, Emiliano D'Agostino, Frederik Maes, Dirk Vandermeulen, Paul Suetens, Alexander Hammers
2005	J	`jnl`	Feature-based statistical analysis of structural MR data for automatic detection of focal cortical dysplastic lesions. NeuroImage Siddharth Srivastava, Frederik Maes, Dirk Vandermeulen, Wim Van Paesschen, Patrick Dupont, Paul Suetens
2005	—	`conf`	Plaque and Stent Artifact Reduction in Subtraction CT Angiography Using Nonrigid Registration and a Volume Penalty. MICCAI (2) Dirk Loeckx, Stylianos Drisis, Frederik Maes, Dirk Vandermeulen, Guy Marchal, Paul Suetens
2004	—	`conf`	Construction of a Brain Template from MR Images Using State-of-the-Art Registration and Segmentation Techniques. MICCAI (1) Dieter Seghers, Emiliano D'Agostino, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2004	—	`conf`	Effects of Anatomical Asymmetry in Spatial Priors on Model-Based Segmentation of the Brain MRI: A Validation Study. MICCAI (1) Siddharth Srivastava, Frederik Maes, Dirk Vandermeulen, Wim Van Paesschen, Patrick Dupont, Paul Suetens
2004	—	`conf`	Feature Based Statistical Analysis of Structural MR Data for Automatic Detection of Focal Cortical Dysplastic (FCD) Lesions. ISBI Siddharth Srivastava, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Wim Van Paesschen, Patrick Dupont
2004	—	`conf`	Non-rigid Atlas-to-Image Registration by Minimization of Class-Conditional Image Entropy. MICCAI (1) Emiliano D'Agostino, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2004	—	`conf`	Nonrigid Image Registration Using Free-Form Deformations with a Local Rigidity Constraint. MICCAI (1) Dirk Loeckx, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2003	J	`jnl`	A Unifying Framework for Partial Volume Segmentation of Brain MR Images. IEEE Trans. Medical Imaging Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2003	J	`jnl`	A viscous fluid model for multimodal non-rigid image registration using mutual information. Medical Image Anal. Emiliano D'Agostino, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2003	—	`conf`	An Augmented Reality Approach Using Pre-operative Patient Specific Images to Guide Thermo-Ablation Procedures. IS4TH Stijn De Buck, Frederik Maes, Wim Anné, Jan Bogaert, Steven Dymarkowski, Hein Heidbüchel, Paul Suetens
2003	—	`conf`	An Automated 3D Algorithm for Neo-cortical Thickness Measurement. MICCAI (2) Siddharth Srivastava, Frederik Maes, Dirk Vandermeulen, Patrick Dupont, Wim Van Paesschen, Paul Suetens
2003	—	`conf`	An Information Theoretic Approach for Non-rigid Image Registration Using Voxel Class Probabilities. MICCAI (2) Emiliano D'Agostino, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2003	—	`conf`	An Information Theoretic Approach for Non-rigid Image Registration Using Voxel Class Probabilities. WBIR Emiliano D'Agostino, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2003	—	`conf`	Free-Form Registration Using Mutual Information and Curvature Regularization. WBIR Emiliano D'Agostino, Jan Modersitzki, Frederik Maes, Dirk Vandermeulen, Bernd Fischer, Paul Suetens
2003	J	`jnl`	Medical image registration using mutual information. Proc. IEEE Frederik Maes, Dirk Vandermeulen, Paul Suetens
2003	—	`conf`	Non-rigid Image Registration Using a Statistical Spline Deformation Model. IPMI Dirk Loeckx, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2003	—	`conf`	Temporal Subtraction of Thorax CR Images. MICCAI (1) Dirk Loeckx, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2003	J	`jnl`	Temporal subtraction of thorax CR-images using a statistical deformation model. IEEE Trans. Medical Imaging Dirk Loeckx, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2003	—	`conf`	Visualizing electrocardiographic information on a patient specific model of the heart. Image-Guided Procedures Stijn De Buck, Frederik Maes, Wim Anné, Jan Bogaert, Steven Dymarkowski, Hein Heidbüchel, Paul Suetens
2002	—	`conf`	A Viscous Fluid Model for Multimodal Non-rigid Image Registration Using Mutual Information. MICCAI (2) Emiliano D'Agostino, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2002	J	`jnl`	Evaluation of image features and search strategies for segmentation of bone structures in radiographs using Active Shape Models. Medical Image Anal. Gert Behiels, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2002	J	`jnl`	Retrospective correction of the heel effect in hand radiographs. Medical Image Anal. Gert Behiels, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2001	A	`conf`	A Statistical Framework for Partial Volume Segmentation. MICCAI Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2001	J	`jnl`	Automated Segmentation of Multiple Sclerosis Lesions by Model Outlier Detection. IEEE Trans. Medical Imaging Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Alan C. F. Colchester, Paul Suetens
2001	A	`conf`	Retrospective Correction of the Heel Effect in Hand Radiographs. MICCAI Gert Behiels, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2001	A	`conf`	Validation of Nonlinear Spatial Filtering to Improve Tissue Segmentation of MR Brain Images. MICCAI Siddharth Srivastava, Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens
2000	—	`conf`	Emerging Possibilities of Image Processing and how this will influence Radiological-Clinical Cooperation. EuroPACS Erwin Bellon, Michel Feron, Werner Aerts, J. Wauters, Johan Van Cleynenbreugel, Dirk Vandermeulen, Frederik Maes, Filip Schutyser, Stijn De Buck, Guy Marchal, Paul Suetens
1999	A	`conf`	Active Shape Model-Based Segmentation of Digital X-ray Images. MICCAI Gert Behiels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Piet Dewaele
1999	J	`jnl`	Automated Model-Based Tissue Classification of MR Images of the Brain. IEEE Trans. Medical Imaging Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens
1999	A	`conf`	Automated Segmentation of MS Lesions from Multi-channel MR Images. MICCAI Koen Van Leemput, Frederik Maes, Fernando Bello, Dirk Vandermeulen, Alan C. F. Colchester, Paul Suetens
1999	J	`jnl`	Automated model-based bias field correction of MR images of the brain. IEEE Trans. Medical Imaging Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens
1999	J	`jnl`	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. IEEE Trans. Medical Imaging Benoit M. Dawant, Steven L. Hartmann, Jean-Philippe Thirion, Frederik Maes, Dirk Vandermeulen, Philippe Demaerel
1999	J	`jnl`	Comparative evaluation of multiresolution optimization strategies for multimodality image registration by maximization of mutual information. Medical Image Anal. Frederik Maes, Dirk Vandermeulen, Paul Suetens
1999	A	`conf`	Quantification of Cerebral Grey and White Matter Asymmetry from MRI. MICCAI Frederik Maes, Koen Van Leemput, Lynn E. DeLisi, Dirk Vandermeulen, Paul Suetens
1998	B	`conf`	Automatic 3D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformations. Image Processing Benoit M. Dawant, Jean-Philippe Thirion, Frederik Maes, Dirk Vandermeulen, Philippe Demaerel
1998	A	`conf`	Automatic Segmentation of Brain Tissues and MR Bias Field Correction Using a Cigital Brain Atlas. MICCAI Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens
1998	A	`conf`	Non-rigid Multimodal Image Registration Using Mutual Information. MICCAI Tom Gaens, Frederik Maes, Dirk Vandermeulen, Paul Suetens
1998	J	`jnl`	The EASI project-improving the effectiveness and quality of image-guided surgery. IEEE Trans. Inf. Technol. Biomed. 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, Jan D. Blankensteijn, Bert C. Eikelboom, W. P. Th. M. Mali, Max A. Viergever, Graeme P. Penney, Ronald P. Gaston, Derek L. G. Hill, Calvin R. Maurer Jr., David J. Hawkes, Frederik Maes, Dirk Vandermeulen, Rudi Verbeeck, Paul Suetens, Georg Schmitz, Thorsten M. Buzug, Cristian Lorenz, Jürgen Sabczynski, Jürgen Weese, W. Zylka, M. H. Kuhn
1997	J	`jnl`	Multimodality Image Registration by Maximization of Mutual Information. IEEE Trans. Medical Imaging Frederik Maes, André Collignon, Dirk Vandermeulen, Guy Marchal, Paul Suetens
1996	B	`conf`	Comparison and evaluation of retrospective intermodality image registration techniques. Image Processing 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, Dirk Vandermeulen, Petra A. van den Elsen, Paul F. Hemler, Sandy Napel, Thilaka S. Sumanaweera, Beth A. Harkness, Derek L. G. Hill, Colin Studholme, Grégoire Malandain, Xavier Pennec, Marilyn E. Noz, Gerald Q. Maguire Jr., Michael Pollack, Charles A. Pelizzari, Richard A. Robb, Dennis P. Hanson, Roger P. Woods
1995	—	`conf`	Computer-Aided Interactive Object Delineation Using an Intelligent Paintbrush Technique. CVRMed Frederik Maes, Dirk Vandermeulen, Paul Suetens, Guy Marchal