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 (ISBI, 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)

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)

Subfields of the hippocampal formation at 7 T MRI: In vivo volumetric assessment. - Laura E. M. Wisse; L. Gerritsen; Jaco J. M. Zwanenburg; Hugo J. Kuijf; Peter R. Luijten; Geert Jan Biessels; Mirjam I. Geerlings (NeuroImage, 2012)

Detecting cortical cerebral microinfarcts in 7.0 T MR images. - Hugo Jaco Kuijf; Frank Zijlstra; Susanne J. van Veluw; Max A. Viergever; Koen L. Vincken; Geert Jan Biessels (ISBI, 2013)

Registration of Brain CT Images to an MRI Template for the Purpose of Lesion-Symptom Mapping. - Hugo J. Kuijf; J. Matthijs Biesbroek; Max A. Viergever; Geert Jan Biessels; Koen L. Vincken (MBIA, 2013)

Bayesian Model Selection for Pathological Data. - Carole H. Sudre; Manuel Jorge Cardoso; Willem H. Bouvy; Geert Jan Biessels; Josephine Barnes; Sébastien Ourselin (MICCAI (1), 2014)

Methodological considerations on tract-based spatial statistics (TBSS). - Michael Bach; Frederik B. Laun; Alexander Leemans; Chantal M. W. Tax; Geert Jan Biessels; Bram Stieltjes; Klaus H. Maier-Hein (NeuroImage, 2014)

Automatic Extraction of the Midsagittal Surface from Brain MR Images using the Kullback-Leibler Measure. - Hugo J. Kuijf; Susanne J. van Veluw; Mirjam I. Geerlings; Max A. Viergever; Geert Jan Biessels; Koen L. Vincken (Neuroinformatics, 2014)

Automated detection of periventricular veins on 7 T brain MRI. - Hugo J. Kuijf; Willem H. Bouvy; Jaco J. M. Zwanenburg; Max A. Viergever; Geert Jan Biessels; Koen L. Vincken (Image Processing, 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; et al. (Comput. Intell. Neurosci., 2015)

FLAIR images at 7 Tesla MRI highlight the ependyma and the outer layers of the cerebral cortex. - Susanne J. van Veluw; Alessio Fracasso; Fredy Visser; Wim G. M. Spliet; Peter R. Luijten; Geert Jan Biessels; Jaco J. M. Zwanenburg (NeuroImage, 2015)

Bayesian Model Selection for Pathological Neuroimaging Data Applied to White Matter Lesion Segmentation. - Carole H. Sudre; Manuel Jorge Cardoso; Willem H. Bouvy; Geert Jan Biessels; Josephine Barnes; Sébastien Ourselin (IEEE Trans. Medical Imaging, 2015)

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 (Image Processing, 2016)

Erratum to "Subfields of the hippocampal formation at 7T MRI: In vivo volumetric assessment" [NeuroImage 61 (2012) 1043-1049]. - Laura E. M. Wisse; L. Gerritsen; Jaco J. M. Zwanenburg; Hugo J. Kuijf; Peter R. Luijten; Geert Jan Biessels; Mirjam I. Geerlings (NeuroImage, 2016)

Vascular reactivity in small cerebral perforating arteries with 7 T phase contrast MRI - A proof of concept study. - Lennart J. Geurts; Alex A. Bhogal; Jeroen C. W. Siero; Peter R. Luijten; Geert Jan Biessels; Jaco J. M. Zwanenburg (NeuroImage, 2018)

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 004; Xavier Lladó; J. Matthijs Biesbroek; et al. (IEEE Trans. Medical Imaging, 2019)

Effect of Fixed-Density Thresholding on Structural Brain Networks: A Demonstration in Cerebral Small Vessel Disease. - Bruno M. de Brito Robalo; Naomi Vlegels; Jil Meier; Alexander Leemans; Geert Jan Biessels; Yael D. Reijmer (Brain Connect., 2020)

Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease. - Esther E. Bron; Stefan Klein 001; Janne M. Papma; Lize C. Jiskoot; Vikram Venkatraghavan; Jara Linders; Pauline Aalten; Peter Paul De Deyn; Geert Jan Biessels; Jurgen A. H. R. Claassen; Huub A. M. Middelkoop; Marion Smits; et al. (CoRR, 2020)

Cardiac and respiration-induced brain deformations in humans quantified with high-field MRI. - Jacob Jan Sloots; Geert Jan Biessels; Jaco J. M. Zwanenburg (NeuroImage, 2020)

Automated White Matter Hyperintensity Segmentation Using Bayesian Model Selection: Assessment and Correlations with Cognitive Change. - Cassidy M. Fiford; Carole H. Sudre; Hugh Pemberton; Phoebe Walsh; Emily N. Manning; Ian B. Malone; Jennifer Nicholas; Willem H. Bouvy; Owen T. Carmichael; Geert Jan Biessels; M. Jorge Cardoso; Josephine Barnes (Neuroinformatics, 2020)

On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge. - Alberto De Luca; Andrada Ianus; Alexander Leemans; Marco Palombo; Noam Shemesh; Hui Zhang 005; Daniel C. Alexander; Markus Nilsson; Martijn Froeling; Geert Jan Biessels; Mauro Zucchelli; Matteo Frigo; et al. (NeuroImage, 2021)

Strain Tensor Imaging: Cardiac-induced brain tissue deformation in humans quantified with high-field MRI. - Jacob Jan Sloots; Geert Jan Biessels; Alberto De Luca; Jaco J. M. Zwanenburg (NeuroImage, 2021)

Cross-site harmonization of multi-shell diffusion MRI measures based on rotational invariant spherical harmonics (RISH). - Alberto De Luca; Suheyla Cetin Karayumak; Alexander Leemans; Yogesh Rathi; Stephan P. Swinnen; Jolien Gooijers; Amanda Clauwaert; Roald Bahr; Stian Bahr Sandmo; Nir A. Sochen; David Kaufmann; Marc Muehlmann; et al. (NeuroImage, 2022)

An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer's Disease. - Wenjie Kang; Bo Li 088; Janne M. Papma; Lize C. Jiskoot; Peter Paul De Deyn; Geert Jan Biessels; Jurgen A. H. R. Claassen; Huub A. M. Middelkoop; Wiesje M. van der Flier; Inez H. G. B. Ramakers; Stefan Klein 001; Esther E. Bron (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI. - Bo Li 088; Jeroen de Bresser; Wiro J. Niessen; Matthias van Osch; Wiesje M. van der Flier; Geert Jan Biessels; Meike W. Vernooij; Esther Bron (CoRR, 2023)

Role of the vessel morphology on the lenticulostriate arteries hemodynamics during atrial fibrillation: A CFD-based multivariate regression analysis. - Andrea Saglietto; Francesco Tripoli; Jaco J. M. Zwanenburg; Geert Jan Biessels; Gaetano Maria De Ferrari; Matteo Anselmino; Luca Ridolfi; Stefania Scarsoglio (Comput. Methods Programs Biomed., 2024)

GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease. - Wenjie Kang; Lize C. Jiskoot; Peter Paul De Deyn; Geert Jan Biessels; Huiberdina Koek; Jurgen A. H. R. Claassen; Huub A. M. Middelkoop; Wiesje M. van der Flier; Willemijn Jansen; Stefan Klein 001; Esther Bron (ISBI, 2025)

Blood Flow Velocity Analysis in Cerebral Perforating Arteries on 7T 2D Phase Contrast MRI with an Open-Source Software Tool (SELMA). - Stanley D. T. Pham; Cyrano Chatziantoniou; J. T. van Vliet; Rick J. van Tuijl; Marjolein Bulk; Mauro Costagli; Ludovic de Rochefort; Oliver Kraff; Mark E. Ladd; Kerrin Pine; Itamar Ronen; Jeroen C. W. Siero; et al. (Neuroinformatics, 2025)