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ORCIDGeert Jan Biessels
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2020 – today
- 2024
[j18]Andrea Saglietto
, Francesco Tripoli, Jaco J. M. Zwanenburg, Geert Jan Biessels, Gaetano Maria De Ferrari, Matteo Anselmino, Luca Ridolfi, Stefania Scarsoglio:
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, 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, Geert Jan Biessels, Inga Koerte, Ofer Pasternak:
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, Geert Jan Biessels, Alberto De Luca, Jaco J. M. Zwanenburg:
Strain Tensor Imaging: Cardiac-induced brain tissue deformation in humans quantified with high-field MRI. NeuroImage 236: 118078 (2021) - [j15]Alberto De Luca, Andrada Ianus, Alexander Leemans, Marco Palombo, Noam Shemesh, Hui Zhang, Daniel C. Alexander, Markus Nilsson, Martijn Froeling, Geert Jan Biessels, Mauro Zucchelli, Matteo Frigo, Enes Albay, Sara Sedlar, Abib Alimi, Samuel Deslauriers-Gauthier, Rachid Deriche, Rutger Fick, Maryam Afzali, Tomasz Pieciak, Fabian Bogusz, Santiago Aja-Fernández, Evren Özarslan, Derek K. Jones, Haoze Chen, Mingwu Jin, Zhijie Zhang, Fengxiang Wang, Vishwesh Nath, Prasanna Parvathaneni, Jan Morez, Jan Sijbers, Ben Jeurissen, Shreyas Fadnavis, Stefan C. Endres, Ariel Rokem, Eleftherios Garyfallidis, Irina Sánchez, Vesna Prchkovska, Paulo Rodrigues, Bennett A. Landman, Kurt G. Schilling:
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, Jil Meier, Alexander Leemans, Geert Jan Biessels, Yael D. Reijmer:
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, Geert Jan Biessels, Jaco J. M. Zwanenburg:
Cardiac and respiration-induced brain deformations in humans quantified with high-field MRI. NeuroImage 210: 116581 (2020) - [j12]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:
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, 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:
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, Alex A. Bhogal, Jeroen C. W. Siero, Peter R. Luijten, Geert Jan Biessels, Jaco J. M. Zwanenburg:
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, Hugo J. Kuijf, Peter R. Luijten, Geert Jan Biessels, Mirjam I. Geerlings:
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, Pim Moeskops, Bob D. de Vos, Willem H. Bouvy, Jeroen de Bresser, Geert Jan Biessels, Max A. Viergever, Koen L. Vincken:
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, 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:
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, Fredy Visser, Wim G. M. Spliet, Peter R. Luijten, Geert Jan Biessels, Jaco J. M. Zwanenburg:
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, Manuel Jorge Cardoso, Willem H. Bouvy, Geert Jan Biessels, Josephine Barnes, Sébastien Ourselin:
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, Willem H. Bouvy, Jaco J. M. Zwanenburg, Max A. Viergever, Geert Jan Biessels, Koen L. Vincken:
Automated detection of periventricular veins on 7 T brain MRI. Medical Imaging: Image Processing 2015: 94132T - 2014
- [j5]Michael Bach, Frederik B. Laun, Alexander Leemans, Chantal M. W. Tax, Geert Jan Biessels, Bram Stieltjes, Klaus H. Maier-Hein:
Methodological considerations on tract-based spatial statistics (TBSS). NeuroImage 100: 358-369 (2014) - [j4]Hugo J. Kuijf, Susanne J. van Veluw, Mirjam I. Geerlings, Max A. Viergever, Geert Jan Biessels, Koen L. Vincken:
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, Manuel Jorge Cardoso, Willem H. Bouvy, Geert Jan Biessels, Josephine Barnes, Sébastien Ourselin:
Bayesian Model Selection for Pathological Data. MICCAI (1) 2014: 323-330 - 2013
- [c3]Hugo Jaco Kuijf, Frank Zijlstra, Susanne J. van Veluw, Max A. Viergever, Koen L. Vincken, Geert Jan Biessels:
Detecting cortical cerebral microinfarcts in 7.0 T MR images. ISBI 2013: 982-985 - [c2]Hugo J. Kuijf, J. Matthijs Biesbroek, Max A. Viergever, Geert Jan Biessels, Koen L. Vincken:
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, Jeroen de Bresser, Mirjam I. Geerlings, Mandy M. A. Conijn, Max A. Viergever, Geert Jan Biessels, Koen L. Vincken:
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, Hugo J. Kuijf, Peter R. Luijten, Geert Jan Biessels, Mirjam I. Geerlings:
Subfields of the hippocampal formation at 7 T MRI: In vivo volumetric assessment. NeuroImage 61(4): 1043-1049 (2012) - 2011
- [j1]Jeroen de Bresser, Marileen P. Portegies, Alexander Leemans, Geert Jan Biessels, L. Jaap Kappelle, Max A. Viergever:
A comparison of MR based segmentation methods for measuring brain atrophy progression. NeuroImage 54(2): 760-768 (2011) - [c1]Hugo J. Kuijf, Jeroen de Bresser, Geert Jan Biessels, Max A. Viergever, Koen L. Vincken:
Detecting cerebral microbleeds in 7.0 T MR images using the radial symmetry transform. ISBI 2011: 758-761
Coauthor Index
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