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Geert Jan Biessels
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2020 – today
- 2024
- [j18]Andrea Saglietto
, Francesco Tripoli
Role of the vessel morphology on the lenticulostriate arteries hemodynamics during atrial fibrillation: A CFD-based multivariate regression analysis. Comput. Methods Programs Biomed. 254: 108303 (2024) - 2023
- [c7]Wenjie Kang, Bo Li, 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, Esther E. Bron:
An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer's Disease. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 69-78 - [i4]Bo Li, Jeroen de Bresser, Wiro J. Niessen, Matthias van Osch, Wiesje M. van der Flier, Geert Jan Biessels, Meike W. Vernooij, Esther Bron:
Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI. CoRR abs/2306.10622 (2023) - [i3]Wenjie Kang, Bo Li, 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, Esther E. Bron:
An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease. CoRR abs/2308.07778 (2023) - 2022
- [j17]Alberto De Luca
Cross-site harmonization of multi-shell diffusion MRI measures based on rotational invariant spherical harmonics (RISH). NeuroImage 259: 119439 (2022) - 2021
- [j16]Jacob Jan Sloots
Strain Tensor Imaging: Cardiac-induced brain tissue deformation in humans quantified with high-field MRI. NeuroImage 236: 118078 (2021) - [j15]Alberto De Luca
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge. NeuroImage 240: 118367 (2021) - 2020
- [j14]Bruno M. de Brito Robalo, Naomi Vlegels
Effect of Fixed-Density Thresholding on Structural Brain Networks: A Demonstration in Cerebral Small Vessel Disease. Brain Connect. 10(3): 121-133 (2020) - [j13]Jacob Jan Sloots
Cardiac and respiration-induced brain deformations in humans quantified with high-field MRI. NeuroImage 210: 116581 (2020) - [j12]Cassidy M. Fiford
Automated White Matter Hyperintensity Segmentation Using Bayesian Model Selection: Assessment and Correlations with Cognitive Change. Neuroinformatics 18(3): 429-449 (2020) - [i2]Esther E. Bron, Stefan Klein, 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, Wiro J. Niessen, John van Swieten, Wiesje M. van der Flier, Inez H. G. B. Ramakers, Aad van der Lugt:
Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease. CoRR abs/2012.08769 (2020)
2010 – 2019
- 2019
- [j11]Hugo J. Kuijf
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 38(11): 2556-2568 (2019) - [i1]Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR abs/1904.00682 (2019) - 2018
- [j10]Lennart J. Geurts
Vascular reactivity in small cerebral perforating arteries with 7 T phase contrast MRI - A proof of concept study. NeuroImage 172: 470-477 (2018) - 2016
- [j9]L. E. M. Wisse, L. Gerritsen, Jaco J. M. Zwanenburg
Erratum to "Subfields of the hippocampal formation at 7T MRI: In vivo volumetric assessment" [NeuroImage 61 (2012) 1043-1049]. NeuroImage 125: 1176-1177 (2016) - [c6]Hugo J. Kuijf
Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities. Medical Imaging: Image Processing 2016: 978421 - 2015
- [j8]Adriënne M. Mendrik, Koen L. Vincken, Hugo J. Kuijf
MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans. Comput. Intell. Neurosci. 2015: 813696:1-813696:16 (2015) - [j7]Susanne J. van Veluw, Alessio Fracasso
FLAIR images at 7 Tesla MRI highlight the ependyma and the outer layers of the cerebral cortex. NeuroImage 104: 100-109 (2015) - [j6]Carole H. Sudre
Bayesian Model Selection for Pathological Neuroimaging Data Applied to White Matter Lesion Segmentation. IEEE Trans. Medical Imaging 34(10): 2079-2102 (2015) - [c5]Hugo J. Kuijf
Automated detection of periventricular veins on 7 T brain MRI. Medical Imaging: Image Processing 2015: 94132T - 2014
- [j5]Michael Bach
Methodological considerations on tract-based spatial statistics (TBSS). NeuroImage 100: 358-369 (2014) - [j4]Hugo J. Kuijf
Automatic Extraction of the Midsagittal Surface from Brain MR Images using the Kullback-Leibler Measure. Neuroinformatics 12(3): 395-403 (2014) - [c4]Carole H. Sudre
Bayesian Model Selection for Pathological Data. MICCAI (1) 2014: 323-330 - 2013
- [c3]Hugo Jaco Kuijf
Detecting cortical cerebral microinfarcts in 7.0 T MR images. ISBI 2013: 982-985 - [c2]Hugo J. Kuijf
Registration of Brain CT Images to an MRI Template for the Purpose of Lesion-Symptom Mapping. MBIA 2013: 119-128 - 2012
- [j3]Hugo J. Kuijf
Efficient detection of cerebral microbleeds on 7.0 T MR images using the radial symmetry transform. NeuroImage 59(3): 2266-2273 (2012) - [j2]L. E. M. Wisse, L. Gerritsen, Jaco J. M. Zwanenburg
Subfields of the hippocampal formation at 7 T MRI: In vivo volumetric assessment. NeuroImage 61(4): 1043-1049 (2012) - 2011
- [j1]Jeroen de Bresser
A comparison of MR based segmentation methods for measuring brain atrophy progression. NeuroImage 54(2): 760-768 (2011) - [c1]Hugo J. Kuijf
Detecting cerebral microbleeds in 7.0 T MR images using the radial symmetry transform. ISBI 2011: 758-761
Coauthor Index
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