Paul M. Parizel

According to our database, Paul M. Parizel authored at least 11 papers between 2005 and 2020.

Collaborative distances:

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

2020

Joint Maximum Likelihood Estimation of Motion and <i>T</i>₁ Parameters from Magnetic Resonance Images in a Super-resolution Framework: a Simulation Study.

Quinten Beirinckx, Gabriel Ramos-Llordén, Ben Jeurissen, Dirk H. J. Poot, Paul M. Parizel, Marleen Verhoye, Jan Sijbers, Arnold J. den Dekker

Fundam. Informaticae, 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

2018

NOVIFAST: A Fast Algorithm for Accurate and Precise VFA MRI <i>T₁</i> Mapping.

Gabriel Ramos-Llordén, Gonzalo Vegas-Sánchez-Ferrero, Marcus Bjork, Floris Vanhevel, Paul M. Parizel, Raúl San José Estépar, Arnold J. den Dekker, Jan Sijbers

IEEE Trans. Medical Imaging, 2018

2016

Radiologists' Usage of Social Media: Results of the RANSOM Survey.

Erik R. Ranschaert, Peter M. A. van Ooijen, Geraldine B. McGinty, Paul M. Parizel

J. Digit. Imaging, 2016

2011

The effect of template selection on diffusion tensor voxel-based analysis results.

Wim Van Hecke, Alexander Leemans, Caroline A. Sage, Louise Emsell, Jelle Veraart, Jan Sijbers, Stefan Sunaert, Paul M. Parizel

NeuroImage, 2011

2009

On the construction of a ground truth framework for evaluating voxel-based diffusion tensor MRI analysis methods.

Wim Van Hecke, Jan Sijbers, Steve De Backer, Dirk H. J. Poot, Paul M. Parizel, Alexander Leemans

NeuroImage, 2009

2008

On the construction of an inter-subject diffusion tensor magnetic resonance atlas of the healthy human brain.

Wim Van Hecke, Jan Sijbers, Emiliano D'Agostino, Frederik Maes, Steve De Backer, Everhard Vandervliet, Paul M. Parizel, Alexander Leemans

NeuroImage, 2008

The evaluation of a population based diffusion tensor image atlas using a ground truth method.

Wim Van Hecke, Alexander Leemans, Emiliano D'Agostino, Steve De Backer, Evert Vandervliet, Paul M. Parizel, Jan Sijbers

Proceedings of the Medical Imaging 2008: Image Processing, 2008

2007

Nonrigid Coregistration of Diffusion Tensor Images Using a Viscous Fluid Model and Mutual Information.

Wim Van Hecke, Alexander Leemans, Emiliano D'Agostino, Steve De Backer, Everhard Vandervliet, Paul M. Parizel, Jan Sijbers

IEEE Trans. Medical Imaging, 2007

2005

Affine Coregistration of Diffusion Tensor Magnetic Resonance Images Using Mutual Information.

Alexander Leemans, Jan Sijbers, Steve De Backer, Everhard Vandervliet, Paul M. Parizel

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2005