Jef Vandemeulebroucke

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 25

Top Topics

Tumor Segmentation

Groupwise Registration

Computed Tomography Images

Top Venues

Medical Imaging: Image Processing

Medical Image Anal.

Medical Imaging: Computer-Aided Diagnosis

Publications

Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. Medical Image Anal. 97 (2024)
Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jegou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel Dubois
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR (2023)
Panagiotis Gonidakis, Alexander Sónora-Mengana, Bart Jansen, Jef Vandemeulebroucke
Handcrafted Features Can Boost Performance and Data-Efficiency for Deep Detection of Lung Nodules From CT Imaging. IEEE Access 11 (2023)
Maryna Kvasnytsia, Abel Díaz Berenguer, Hichem Sahli, Jef Vandemeulebroucke
COVID-19 Lesion Segmentation Framework for the Contrast-Enhanced CT in the Absence of Contrast-Enhanced CT Annotations. MILLanD@MICCAI (2023)
Jakub Ceranka, Joris Wuts, Ophélye Chiabai, Frédéric Lecouvet, Jef Vandemeulebroucke
Computer-aided diagnosis of skeletal metastases in multi-parametric whole-body MRI. Comput. Methods Programs Biomed. 242 (2023)
Dario Farotto, Patricia Lopes, Maryna Kvasnytsia, Mathias Polfliet, Jef Vandemeulebroucke, Roel Wirix-Speetjens, Jos Vander Sloten
Automated mitral annulus annotation over 4D-CT for transcatheter mitral valve replacement. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11 (3) (2023)
Ine Dirks, Marleen Keyaerts, Bart Neyns, Jef Vandemeulebroucke
Computer-aided detection and segmentation of malignant melanoma lesions on whole-body 18F-FDG PET/CT using an interpretable deep learning approach. Comput. Methods Programs Biomed. 221 (2022)
Abel Díaz Berenguer, Tanmoy Mukherjee, Yifei Da, Matías Nicolás Bossa, Maryna Kvasnytsia, Jef Vandemeulebroucke, Nikos Deligiannis, Hichem Sahli
Representation Learning with Information Theory to Detect COVID-19 and Its Severity. ECCV Workshops (7) (2022)
Selene De Sutter, Wietse Geens, Matías N. Bossa, Anne-Marie Vanbinst, Johnny Duerinck, Jef Vandemeulebroucke
Probabilistic Tissue Mapping for Tumor Segmentation and Infiltration Detection of Glioma. BrainLes@MICCAI (2022)
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
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. CoRR (2020)
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
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients. CoRR (2020)
Jakub Ceranka, Frédéric Lecouvet, Johan de Mey, Jef Vandemeulebroucke
Computer-aided detection of focal bone metastases from whole-body multi-modal MRI. Medical Imaging: Computer-Aided Diagnosis (2020)
Alexander Sóñora-Mengan, Panagiotis Gonidakis, Bart Jansen, Juan Carlos García-Naranjo, Jef Vandemeulebroucke
Evaluating several ways to combine handcrafted features-based system with a deep learning system using the LUNA16 Challenge framework. Medical Imaging: Computer-Aided Diagnosis (2020)
Ine Dirks, Marleen Keyaerts, Bart Neyns, Jef Vandemeulebroucke
Automated threshold selection on whole-body 18F-FDG PET/CT for assessing tumor metabolic response. Medical Imaging: Image Processing (2020)
Panagiotis Gonidakis, Bart Jansen, Jef Vandemeulebroucke
Artificially augmenting data or adding more samples? A study on a 3D CNN for lung nodule classification. Medical Imaging: Computer-Aided Diagnosis (2020)
Mathias Polfliet, Stefan Klein, Wyke Huizinga, Margarethus M. Paulides, Wiro J. Niessen, Jef Vandemeulebroucke
Intrasubject multimodal groupwise registration with the conditional template entropy. Medical Image Anal. 46 (2018)
Frederik Vandenbroucke, Jef Vandemeulebroucke, Nico Buls, Ruedi F. Thoeni, Johan de Mey
Can tumor coverage evaluated 24 h post-radiofrequency ablation predict local tumor progression of liver metastases? Int. J. Comput. Assist. Radiol. Surg. 13 (12) (2018)
Pieter Thomas Boonen, Nico Buls, Gert Van Gompel, Yannick De Brucker, Dimitri Aerden, Johan de Mey, Jef Vandemeulebroucke
Automated Quantification of Blood Flow Velocity from Time-Resolved CT Angiography. CVII-STENT/LABELS@MICCAI (2018)
Jakub Ceranka, Sabrina Verga, Frédéric Lecouvet, Thierry Metens, Johan de Mey, Jef Vandemeulebroucke
Intensity Standardization of Skeleton in Follow-Up Whole-Body MRI. CSI@MICCAI (2018)
Elhassan Abdou, Johan de Mey, Mark De Ridder, Jef Vandemeulebroucke
Accurate bolus arrival time estimation using piecewise linear model fitting. Medical Imaging: Image Processing (2017)
Jakub Ceranka, Mathias Polfliet, Frédéric Lecouvet, Nicolas Michoux, Jef Vandemeulebroucke
Whole-body diffusion-weighted MR image stitching and alignment to anatomical MRI. Medical Imaging: Image Processing (2017)
Mathias Polfliet, Stefan Klein, Wiro J. Niessen, Jef Vandemeulebroucke
Laplacian eigenmaps for multimodal groupwise image registration. Medical Imaging: Image Processing (2017)
Wyke Huizinga, Dirk H. J. Poot, Jean-Marie Guyader, R. Klaassen, Bram F. Coolen, Matthijs van Kranenburg, Robert Jan van Geuns, André Uitterdijk, Mathias Polfliet, Jef Vandemeulebroucke, Alexander Leemans, Wiro J. Niessen, Stefan Klein
PCA-based groupwise image registration for quantitative MRI. Medical Image Anal. 29 (2016)
Mathias Polfliet, Stefan Klein, Wyke Huizinga, Johan de Mey, Jef Vandemeulebroucke
The pythagorean averages as group images in efficient groupwise registration. ISBI (2016)
Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S. N. Berens, Cas van den Bogaard, Piergiorgio Cerello, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts, Robbert van der Gugten, Pheng-Ann Heng, Bart Jansen, Michael M. J. de Kaste, Valentin Kotov, Jack Yu-Hung Lin, Jeroen T. M. C. Manders, Alexander Sónora-Mengana, Juan Carlos García-Naranjo, Mathias Prokop, Marco Saletta, Cornelia Schaefer-Prokop, Ernst Th. Scholten, Luuk Scholten, Miranda M. Snoeren, Ernesto Lopez Torres, Jef Vandemeulebroucke, Nicole Walasek, Guido C. A. Zuidhof, Bram van Ginneken, Colin Jacobs
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge. CoRR (2016)
Keelin Murphy, Bram van Ginneken, Joseph M. Reinhardt, Sven Kabus, Kai Ding, Xiang Deng, Kunlin Cao, Kaifang Du, Gary E. Christensen, Vincent Garcia, Tom Vercauteren, Nicholas Ayache, Olivier Commowick, Grégoire Malandain, Ben Glocker, Nikos Paragios, Nassir Navab, Vladlena Gorbunova, Jon Sporring, Marleen de Bruijne, Xiao Han, Mattias P. Heinrich, Julia A. Schnabel, Mark Jenkinson, Cristian Lorenz, Marc Modat, Jamie McClelland, Sébastien Ourselin, Sascha E. A. Muenzing, Max A. Viergever, Dante De Nigris, D. Louis Collins, Tal Arbel, Marta Peroni, Rui Li, Gregory C. Sharp, Alexander Schmidt-Richberg, Jan Ehrhardt, René Werner, Dirk Smeets, Dirk Loeckx, Gang Song, Nicholas J. Tustison, Brian B. Avants, James C. Gee, Marius Staring, Stefan Klein, Berend C. Stoel, Martin Urschler, Manuel Werlberger, Jef Vandemeulebroucke, Simon Rit, David Sarrut, Josien P. W. Pluim
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. IEEE Trans. Medical Imaging 30 (11) (2011)
David Sarrut, Jef Vandemeulebroucke
B-LUT: Fast and low memory B-spline image interpolation. Comput. Methods Programs Biomed. 99 (2) (2010)
Jef Vandemeulebroucke, Jan Kybic, Patrick Clarysse, David Sarrut
Respiratory Motion Estimation from Cone-Beam Projections Using a Prior Model. MICCAI (1) (2009)
Ewout Vansteenkiste, Jef Vandemeulebroucke, Wilfried Philips
2D/3D Registration of Neonatal Brain Images. WBIR (2006)
Jef Vandemeulebroucke, Ewout Vansteenkiste, Wilfried Philips
A multi-modal 2D/3D registration scheme for preterm brain images. EMBC (2006)