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ORCIDJef Vandemeulebroucke
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2020 – today
- 2024
[j12]Sebastián Amador Sánchez
, Philippe van Overschelde, Jef Vandemeulebroucke:
Segmentation-Guided Coordinate Regression for Robust Landmark Detection on X-Rays: Application to Automated Assessment of Lower Limb Alignment. IEEE Access 12: 61484-61497 (2024)- [j11]Selene De Sutter, Joris Wuts, Wietse Geens, Anne-Marie Vanbinst, Johnny Duerinck, Jef Vandemeulebroucke:
Modality redundancy for MRI-based glioblastoma segmentation. Int. J. Comput. Assist. Radiol. Surg. 19(10): 2101-2109 (2024) - [j10]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: 103230 (2024) - [c17]Hamza Mekhzoum, Benyameen Keelson, Thierry Scheerlinck, Jef Vandemeulebroucke:
Towards Point Cloud-Based Medical Image Registration for Dynamic 4D-CT Imaging. ShapeMI@MICCAI 2024: 205-223 - 2023
- [j9]Panagiotis Gonidakis, Alexander Sóñora-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: 126221-126231 (2023) - [j8]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): 711-717 (2023) - [j7]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: 107811 (2023) - [c16]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: 71-81 - [i4]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 Dubois:
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR abs/2306.10484 (2023) - 2022
- [j6]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: 106902 (2022) - [c15]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: 80-89 - [c14]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: 605-620 - 2020
- [c13]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 - [c12]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 - [c11]Alexander Sóñora-Mengana, 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 - [c10]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: 113131R - [i3]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 abs/2007.15546 (2020) - [i2]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 abs/2011.11719 (2020)
2010 – 2019
- 2018
- [j5]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): 1981-1989 (2018) - [j4]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: 15-25 (2018) - [c9]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: 11-18 - [c8]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: 77-89 - 2017
- [c7]Mathias Polfliet, Stefan Klein, Wiro J. Niessen, Jef Vandemeulebroucke:
Laplacian eigenmaps for multimodal groupwise image registration. Medical Imaging: Image Processing 2017: 101331N - [c6]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: 101332F - [c5]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: 1013311 - 2016
- [j3]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: 65-78 (2016) - [c4]Mathias Polfliet, Stefan Klein, Wyke Huizinga, Johan de Mey, Jef Vandemeulebroucke:
The pythagorean averages as group images in efficient groupwise registration. ISBI 2016: 1261-1264 - [i1]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 Sóñora-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 abs/1612.08012 (2016) - 2011
- [j2]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): 1901-1920 (2011) - 2010
- [j1]David Sarrut, Jef Vandemeulebroucke:
B-LUT: Fast and low memory B-spline image interpolation. Comput. Methods Programs Biomed. 99(2): 172-178 (2010)
2000 – 2009
- 2009
- [c3]Jef Vandemeulebroucke, Jan Kybic, Patrick Clarysse, David Sarrut:
Respiratory Motion Estimation from Cone-Beam Projections Using a Prior Model. MICCAI (1) 2009: 365-372 - 2006
- [c2]Jef Vandemeulebroucke, Ewout Vansteenkiste, Wilfried Philips:
A multi-modal 2D/3D registration scheme for preterm brain images. EMBC 2006: 3341-3344 - [c1]Ewout Vansteenkiste, Jef Vandemeulebroucke, Wilfried Philips:
2D/3D Registration of Neonatal Brain Images. WBIR 2006: 272-279
Coauthor Index
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last updated on 2024-11-20 20:59 CET by the dblp team
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