Jeroen de Bresser

According to our database, Jeroen de Bresser authored at least 10 papers between 2011 and 2023.

Collaborative distances:

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

2023

Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI.

Bo Li, Jeroen de Bresser, Wiro J. Niessen, Matthias van Osch, Wiesje M. van der Flier, Geert Jan Biessels, Meike W. Vernooij, Esther Bron

CoRR, 2023

2022

Accuracy and repeatability of joint sparsity multi-component estimation in MR Fingerprinting.

Laura Nunez-Gonzalez, Martijn Nagtegaal, Dirk H. J. Poot, Jeroen de Bresser, Matthias J. P. van Osch, Juan Antonio Hernández Tamames, Frans M. Vos

NeuroImage, 2022

2020

Myelin water imaging from multi-echo T2 MR relaxometry data using a joint sparsity constraint.

Martijn Nagtegaal, Peter Koken, Thomas Amthor, Jeroen de Bresser, Burkhard Mädler, Frans Vos, Mariya Doneva

NeuroImage, 2020

ExploreASL: An image processing pipeline for multi-center ASL perfusion MRI studies.

Henk J. M. M. Mutsaerts, Jan Petr, Paul F. C. Groot, Pieter Vandemaele, Silvia Ingala, Andrew D. Robertson, Lena Václavu, Inge R. Groote, Hugo J. Kuijf, Fernando O. Zelaya, Owen G. O'Daly, Saima Hilal, Alle Meije Wink, Ilse M. J. Kant, Matthan W. A. Caan, Catherine Morgan, Jeroen de Bresser, Elisabeth Lysvik, Frederik Barkhof

NeuroImage, 2020

2019

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.

Hugo J. Kuijf, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, J. Matthijs Biesbroek, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Jeroen de Bresser, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Rutger Heinen, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso

IEEE Trans. Medical Imaging, 2019

2016

Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities.

Hugo J. Kuijf, Pim Moeskops, Bob D. de Vos, Willem H. Bouvy, Jeroen de Bresser, Geert Jan Biessels, Max A. Viergever, Koen L. Vincken

Proceedings of the Medical Imaging 2016: Image Processing, 2016

2015

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans.

Adriënne M. Mendrik, Koen L. Vincken, Hugo J. Kuijf, Marcel Breeuwer, Willem H. Bouvy, Jeroen de Bresser, Amir Alansary, Marleen de Bruijne, Aaron Carass, Ayman El-Baz, Amod Jog, Ranveer Katyal, Ali R. Khan, Fedde van der Lijn, Qaiser Mahmood, Ryan Mukherjee, Annegreet van Opbroek, Sahil Paneri, Sérgio Pereira, Mikael Persson, Martin Rajchl, Duygu Sarikaya, Örjan Smedby, Carlos A. Silva, Henri A. Vrooman, Saurabh Vyas, Chunliang Wang, Liang Zhao, Geert Jan Biessels, Max A. Viergever

Comput. Intell. Neurosci., 2015

2012

Efficient detection of cerebral microbleeds on 7.0 T MR images using the radial symmetry transform.

Hugo J. Kuijf, Jeroen de Bresser, Mirjam I. Geerlings, Mandy M. A. Conijn, Max A. Viergever, Geert Jan Biessels, Koen L. Vincken

NeuroImage, 2012

2011

A comparison of MR based segmentation methods for measuring brain atrophy progression.

Jeroen de Bresser, Marileen P. Portegies, Alexander Leemans, Geert Jan Biessels, L. Jaap Kappelle, Max A. Viergever

NeuroImage, 2011

Detecting cerebral microbleeds in 7.0 T MR images using the radial symmetry transform.

Hugo J. Kuijf, Jeroen de Bresser, Geert Jan Biessels, Max A. Viergever, Koen L. Vincken

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011