A multi-modal 2D/3D registration scheme for preterm brain images. - Jef Vandemeulebroucke; Ewout Vansteenkiste; Wilfried Philips (EMBC, 2006)

2D/3D Registration of Neonatal Brain Images. - Ewout Vansteenkiste; Jef Vandemeulebroucke; Wilfried Philips (WBIR, 2006)

Respiratory Motion Estimation from Cone-Beam Projections Using a Prior Model. - Jef Vandemeulebroucke; Jan Kybic; Patrick Clarysse; David Sarrut (MICCAI (1), 2009)

B-LUT: Fast and low memory B-spline image interpolation. - David Sarrut; Jef Vandemeulebroucke (Comput. Methods Programs Biomed., 2010)

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. - Keelin Murphy; Bram van Ginneken; Joseph M. Reinhardt; Sven Kabus; Kai Ding 003; Xiang Deng; Kunlin Cao; Kaifang Du; Gary E. Christensen; Vincent Garcia; Tom Vercauteren; Nicholas Ayache; et al. (IEEE Trans. Medical Imaging, 2011)

The pythagorean averages as group images in efficient groupwise registration. - Mathias Polfliet; Stefan Klein 001; Wyke Huizinga; Johan de Mey; Jef Vandemeulebroucke (ISBI, 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 011; Qi Dou 001; Maria Evelina Fantacci; Bram Geurts; Robbert van der Gugten; Pheng-Ann Heng; et al. (CoRR, 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; et al. (Medical Image Anal., 2016)

Accurate bolus arrival time estimation using piecewise linear model fitting. - Elhassan Abdou; Johan de Mey; Mark De Ridder; Jef Vandemeulebroucke (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 (Image Processing, 2017)

Laplacian eigenmaps for multimodal groupwise image registration. - Mathias Polfliet; Stefan Klein 001; Wiro J. Niessen; Jef Vandemeulebroucke (Image Processing, 2017)

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 (CVII-STENT/LABELS@MICCAI, 2018)

Intensity Standardization of Skeleton in Follow-Up Whole-Body MRI. - Jakub Ceranka; Sabrina Verga; Frédéric Lecouvet; Thierry Metens; Johan de Mey; Jef Vandemeulebroucke (CSI@MICCAI, 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)

Intrasubject multimodal groupwise registration with the conditional template entropy. - Mathias Polfliet; Stefan Klein 001; Wyke Huizinga; Margarethus M. Paulides; Wiro J. Niessen; Jef Vandemeulebroucke (Medical Image Anal., 2018)

Computer-aided detection of focal bone metastases from whole-body multi-modal MRI. - Jakub Ceranka; Frédéric Lecouvet; Johan de Mey; Jef Vandemeulebroucke (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 001; Jef Vandemeulebroucke (Computer-Aided Diagnosis, 2020)

Evaluating several ways to combine handcrafted features-based system with a deep learning system using the LUNA16 Challenge framework. - Alexander Sóñora-Mengana; Panagiotis Gonidakis; Bart Jansen 001; Juan Carlos García-Naranjo; Jef Vandemeulebroucke (Computer-Aided Diagnosis, 2020)

Automated threshold selection on whole-body 18F-FDG PET/CT for assessing tumor metabolic response. - Ine Dirks; Marleen Keyaerts; Bart Neyns; Jef Vandemeulebroucke (Image Processing, 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; et al. (CoRR, 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; et al. (CoRR, 2020)

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 (BrainLes@MICCAI, 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 (ECCV Workshops (7), 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)

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 (MILLanD@MICCAI, 2023)

Handcrafted Features Can Boost Performance and Data-Efficiency for Deep Detection of Lung Nodules From CT Imaging. - Panagiotis Gonidakis; Alexander Sóñora-Mengana; Bart Jansen 001; Jef Vandemeulebroucke (IEEE Access, 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., 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., 2023)

Towards Point Cloud-Based Medical Image Registration for Dynamic 4D-CT Imaging. - Hamza Mekhzoum; Benyameen Keelson; Thierry Scheerlinck; Jef Vandemeulebroucke (ShapeMI@MICCAI, 2024)

Segmentation-Guided Coordinate Regression for Robust Landmark Detection on X-Rays: Application to Automated Assessment of Lower Limb Alignment. - Sebastián Amador Sánchez; Philippe van Overschelde; Jef Vandemeulebroucke (IEEE Access, 2024)

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 Jégou; Guang Li; Cong Chen; Qi Wang; Derik Shi; Mayug Maniparambil; et al. (Medical Image Anal., 2024)

Modality redundancy for MRI-based glioblastoma segmentation. - Selene De Sutter; Joris Wuts; Wietse Geens; Anne-Marie Vanbinst; Johnny Duerinck; Jef Vandemeulebroucke (Int. J. Comput. Assist. Radiol. Surg., 2024)

Optimization and Benchmarking of Image Segmentation for Improved Landmark Detection in Lower Limb X-Rays and Accurate Coronal Plane Alignment of the Knee Classification. - Sebastián Amador Sánchez; Ashkan Zarghami; Philippe van Overschelde; Jef Vandemeulebroucke (IEEE Access, 2025)

Learning from Anatomy: Supervised Anatomical Pretraining (SAP) for Improved Metastatic Bone Disease Segmentation in Whole-Body MRI. - Joris Wuts; Jakub Ceranka; Nicolas Michoux; Frédéric Lecouvet; Jef Vandemeulebroucke (CoRR, 2025)

Evaluation of augmented reality guidance for glenoid pin placement in total shoulder arthroplasty. - Taylor Frantz; Frederick van Gestel; Pieter Slagmolen; Johnny Duerinck; Thierry Scheerlinck; Jef Vandemeulebroucke (Int. J. Comput. Assist. Radiol. Surg., 2025)

Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT. - Ine Dirks; Matías Nicolás Bossa; Abel Díaz Berenguer; Tanmoy Mukherjee; Hichem Sahli; Nikos Deligiannis; Emma Verelst; Bart Ilsen; Simon Van Eyndhoven; Lucie Seyler; Arne Witdouck; Gilles Darcis; et al. (BMC Medical Informatics Decis. Mak., 2025)