Johan de Mey

According to our database, Johan de Mey authored at least 17 papers between 2010 and 2024.

Collaborative distances:

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

2024

Optimizing Rectal Cancer Patient Care: Dworak TRG Prediction via Bayesian Evolutionary Fourier-Domain Random Subspace Forest.

Camille Raets, Chaïmae El Aisati, Amir L. Rifi, Mark De Ridder, Koen Putman, Johan de Mey, Alexandra Sermeus, Kurt Barbé

IEEE Trans. Instrum. Meas., 2024

2022

Relative Perfusion Differences between Parathyroid Adenomas and the Thyroid on Multiphase 4DCT.

Steven Raeymaeckers, Yannick De Brucker, Maurizio Tosi, Nico Buls, Johan de Mey

Int. J. Biomed. Imaging, 2022

2021

Detection of parathyroid adenomas with multiphase 4DCT: towards a true four-dimensional technique.

Steven Raeymaeckers, Yannick De Brucker, Tim Vanderhasselt, Nico Buls, Johan de Mey

BMC Medical Imaging, 2021

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

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

2019

Computer Aided Detection and Diagnosis System for Breast Cancer Detection Based on High Resolution 3D micro-CT Breast Microcalcifications.

Redona Brahimetaj, Evgenia Papavasileiou, Frederik Temmermans, Bruno Cornelis, Inneke Willekens, Johan de Mey, Bart Jansen

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

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

Towards a CAD System for Breast Cancer Based on Individual Microcalcifications?

Evgenia Papavasileiou, Redona Brahimetaj, Frederik Temmermans, Bruno Cornelis, Inneke Willekens, Johan de Mey, Bart Jansen

Proceedings of the 20th IEEE International Conference on e-Health Networking, 2018

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

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

2012

The influence of emotional priming on the neural substrates of memory: A prospective fMRI study using portrait art stimuli.

Chris Baeken, Rudi De Raedt, Peter Van Schuerbeek, Johan de Mey, Axel Bossuyt, Robert Luypaert

NeuroImage, 2012

2011

Vascular Active Contour for Vessel Tree Segmentation.

Yanfeng Shang, Rudi Deklerck, Edgard Nyssen, Aneta Markova, Johan de Mey, Xin Yang, Kun Sun

IEEE Trans. Biomed. Eng., 2011

Histogram analysis of CT scans for patients with post-mastectomy lymphedema.

Maxine Tan, Rudi Deklerck, An Tassenoy, Jan Cornelis, Johan de Mey, Nico Buls

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010

Image Quality Phantom in Close Compliance with the ICRU-44 Breast Tissue Substitute Standard and Realistic Background Noise Pattern for Digital Breast Tomosynthesis.

Steven Raeymaeckers, Nico Buls, Gert Van Gompel, Cathérine Breucq, Johan de Mey

Proceedings of the Digital Mammography, 2010