Jef Vandemeulebroucke

According to our database, Jef Vandemeulebroucke authored at least 29 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Computer-aided diagnosis of skeletal metastases in multi-parametric whole-body MRI.

Jakub Ceranka, Joris Wuts, Ophélye Chiabai, Frédéric Lecouvet, Jef Vandemeulebroucke

Comput. Methods Programs Biomed., December, 2023

Automated mitral annulus annotation over 4D-CT for transcatheter mitral valve replacement.

Dario Farotto, Patricia Lopes, Maryna Kvasnytsia, Mathias Polfliet, Jef Vandemeulebroucke, Roel Wirix-Speetjens, Jos Vander Sloten

Comput. methods Biomech. Biomed. Eng. Imaging Vis., May, 2023

The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data.

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

CoRR, 2023

Handcrafted Features Can Boost Performance and Data-Efficiency for Deep Detection of Lung Nodules From CT Imaging.

Panagiotis Gonidakis, Alexander Sónora-Mengana, Bart Jansen, Jef Vandemeulebroucke

IEEE Access, 2023

COVID-19 Lesion Segmentation Framework for the Contrast-Enhanced CT in the Absence of Contrast-Enhanced CT Annotations.

Maryna Kvasnytsia, Abel Díaz Berenguer, Hichem Sahli, Jef Vandemeulebroucke

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

2022

Computer-aided detection and segmentation of malignant melanoma lesions on whole-body 18F-FDG PET/CT using an interpretable deep learning approach.

Ine Dirks, Marleen Keyaerts, Bart Neyns, Jef Vandemeulebroucke

Comput. Methods Programs Biomed., 2022

Representation Learning with Information Theory to Detect COVID-19 and Its Severity.

Abel Díaz Berenguer, Tanmoy Mukherjee, Yifei Da, Matías Nicolás Bossa, Maryna Kvasnytsia, Jef Vandemeulebroucke, Nikos Deligiannis, Hichem Sahli

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Probabilistic Tissue Mapping for Tumor Segmentation and Infiltration Detection of Glioma.

Selene De Sutter, Wietse Geens, Matías N. Bossa, Anne-Marie Vanbinst, Johnny Duerinck, Jef Vandemeulebroucke

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2020

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

Abel Díaz Berenguer, Hichem Sahli, Boris Joukovsky, Maryna Kvasnytsia, Ine Dirks, Mitchel Alioscha-Pérez, Nikos Deligiannis, Panagiotis Gonidakis, Sebastián Amador Sánchez, Redona Brahimetaj, Evgenia Papavasileiou, Jonathan Cheung-Wai Chan, 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

CoRR, 2020

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

Sofie Tilborghs, Ine Dirks, Lucas Fidon, Siri Willems, Tom Eelbode, Jeroen Bertels, Bart Ilsen, Arne Brys, Adriana Dubbeldam, Nico Buls, Panagiotis Gonidakis, Sebastián Amador Sánchez, Annemiek Snoeckx, Paul M. Parizel, Johan de Mey, Dirk Vandermeulen, Tom Vercauteren, David Robben, Dirk Smeets, Frederik Maes, Jef Vandemeulebroucke, Paul Suetens

CoRR, 2020

Automated threshold selection on whole-body 18F-FDG PET/CT for assessing tumor metabolic response.

Ine Dirks, Marleen Keyaerts, Bart Neyns, Jef Vandemeulebroucke

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Evaluating several ways to combine handcrafted features-based system with a deep learning system using the LUNA16 Challenge framework.

Alexander Sóñora-Mengan, Panagiotis Gonidakis, Bart Jansen, Juan Carlos García-Naranjo, Jef Vandemeulebroucke

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Artificially augmenting data or adding more samples? A study on a 3D CNN for lung nodule classification.

Panagiotis Gonidakis, Bart Jansen, Jef Vandemeulebroucke

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Computer-aided detection of focal bone metastases from whole-body multi-modal MRI.

Jakub Ceranka, Frédéric Lecouvet, Johan de Mey, Jef Vandemeulebroucke

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2018

Intrasubject multimodal groupwise registration with the conditional template entropy.

Mathias Polfliet, Stefan Klein, Wyke Huizinga, Margarethus M. Paulides, Wiro J. Niessen, Jef Vandemeulebroucke

Medical Image Anal., 2018

Can tumor coverage evaluated 24 h post-radiofrequency ablation predict local tumor progression of liver metastases?

Frederik Vandenbroucke, Jef Vandemeulebroucke, Nico Buls, Ruedi F. Thoeni, Johan de Mey

Int. J. Comput. Assist. Radiol. Surg., 2018

Intensity Standardization of Skeleton in Follow-Up Whole-Body MRI.

Jakub Ceranka, Sabrina Verga, Frédéric Lecouvet, Thierry Metens, Johan de Mey, Jef Vandemeulebroucke

Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2018

Automated Quantification of Blood Flow Velocity from Time-Resolved CT Angiography.

Pieter Thomas Boonen, Nico Buls, Gert Van Gompel, Yannick De Brucker, Dimitri Aerden, Johan de Mey, Jef Vandemeulebroucke

Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018

2017

Laplacian eigenmaps for multimodal groupwise image registration.

Mathias Polfliet, Stefan Klein, Wiro J. Niessen, Jef Vandemeulebroucke

Proceedings of the Medical Imaging 2017: Image Processing, 2017

Whole-body diffusion-weighted MR image stitching and alignment to anatomical MRI.

Jakub Ceranka, Mathias Polfliet, Frédéric Lecouvet, Nicolas Michoux, Jef Vandemeulebroucke

Proceedings of the Medical Imaging 2017: Image Processing, 2017

Accurate bolus arrival time estimation using piecewise linear model fitting.

Elhassan Abdou, Johan de Mey, Mark De Ridder, Jef Vandemeulebroucke

Proceedings of the Medical Imaging 2017: Image Processing, 2017

2016

PCA-based groupwise image registration for quantitative MRI.

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

Medical Image Anal., 2016

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge.

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

CoRR, 2016

The pythagorean averages as group images in efficient groupwise registration.

Mathias Polfliet, Stefan Klein, Wyke Huizinga, Johan de Mey, Jef Vandemeulebroucke

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2011

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge.

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

IEEE Trans. Medical Imaging, 2011

2010

B-LUT: Fast and low memory B-spline image interpolation.

David Sarrut, Jef Vandemeulebroucke

Comput. Methods Programs Biomed., 2010

2009

Respiratory Motion Estimation from Cone-Beam Projections Using a Prior Model.

Jef Vandemeulebroucke, Jan Kybic, Patrick Clarysse, David Sarrut

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

2006

2D/3D Registration of Neonatal Brain Images.

Ewout Vansteenkiste, Jef Vandemeulebroucke, Wilfried Philips

Proceedings of the Biomedical Image Registration, Third International Workshop, 2006

A multi-modal 2D/3D registration scheme for preterm brain images.

Jef Vandemeulebroucke, Ewout Vansteenkiste, Wilfried Philips

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006