Hugo Kuijf graduated in Computer Science at Utrecht University in 2009, with academic minors in Software Engineering and Game- and Media Technology. In 2013, he received his PhD in Medical Imaging after defending his thesis entitled "Image processing techniques for quantification and assessment of brain MRI".
His research focuses on innovative image processing and (deep) machine learning techniques for the quantification and assessment of brain MR images. These techniques are applied in the context of brain anatomy and pathology, in particular small vessel disease. Semi-automated techniques for the detection of microbleeds, microinfarcts, small arteries and veins, perivascular spaces, and white matter hyperintensities are developed; inclusing lesion-symptom mapping solutions. Development and utilization of modern machine learning and deep learning techniques (also known as "artifical intelligence") are a central pillar in the development of new medical image analysis techniques.
He organized the MICCAI grand challenges on WMH segmentation and brain tissue segmentation (MRBrainS13 and MRBrainS18). He developed freely available software for the detection of the midsagittal plane and suface and lesion-symptom mapping.
Hugo Kuijf is an assistant professor at the Image Sciences Institute, UMC Utrecht; programme coordinator of the MSc programme Medical Imaging; member of the Board of Examiners of the Graduate School of Life Sciences; chair of the Education Committee of the PhD programme Medical Imaging; and university lecturer at Eindhoven University of Technology.
Image Sciences Institute
University Medical Center Utrecht
Heidelberglaan 100
Room Q.02.4.45
3584 CX Utrecht
The Netherlands
Publications
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An anomaly detection approach to identify chronic brain infarcts on MRI
van Hespen, Kees M, Zwanenburg, Jaco J M, Dankbaar, Jan W, Geerlings, Mirjam I, Hendrikse, Jeroen, Kuijf, Hugo J
Apr
2021
in
Scientific Reports
11
(1),
p. 7714
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The Impact of Strategic White Matter Hyperintensity Lesion Location on Language
Hilal, Saima, Biesbroek, J Matthijs, Vrooman, Henri, Chong, Eddie, Kuijf, Hugo J, Venketasubramanian, Narayanaswamy, Cheng, Ching-Yu, Wong, Tien Yin, Biessels, Geert Jan, Chen, Christopher
Feb
2021
in
The American Journal of Geriatric Psychiatry
29
(2),
p. 156-165
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Bringing AI to the clinic: blueprint for a vendor-neutral AI deployment infrastructure
Leiner, Tim, Bennink, E, Mol, Christian, Kuijf, Hugo, Veldhuis, WB
Feb
2021
in
Insights Into Imaging [E]
12
(1),
p. 11
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Variational Autoencoders with a Structural Similarity Loss in Time of Flight MRAs
Timmins, Kimberley, van der Schaaf, Irene, Velthuis, BK, Ruigrok, Ynte, Kuijf, Hugo
feb
2021 in Variational Autoencoders with a Structural Similarity Loss in Time of Flight MRAs: Proceedings SPIE 11596, Medical Imaging 2021: Image Processing, 115963A p. (; vol. )
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Arterial Remodeling of the Intracranial Arteries in Patients With Hypertension and Controls: A Postmortem Study
van Hespen, Kees M, Mackaaij, Claire, Waas, Ingeborg S E, de Bree, Marloes P, Zwanenburg, Jaco J M, Kuijf, Hugo J, Daemen, Mat J A P, Hendrikse, Jeroen, Hermkens, Dorien M A
Jan
2021
in
Hypertension
77
(1),
p. 135-146
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Post-stroke cognitive impairment on the Mini-Mental State Examination primarily relates to left middle cerebral artery infarcts
Weaver, Nick A, Kancheva, Angelina K, Lim, Jae-Sung, Biesbroek, J Matthijs, Wajer, Irene Mc Huenges, Kang, Yeonwook, Kim, Beom J, Kuijf, Hugo J, Lee, Byung-Chul, Lee, Keon-Joo, Yu, Kyung-Ho, Biessels, Geert Jan, Bae, Hee-Joon
Jan
2021
in
International Journal of Stroke
p. 1747493020984552
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The Effects of Intracranial Stenosis on Cerebral Perfusion and Cognitive Performance
Hilal, Saima, Mutsaerts, Henri J M M, Ferro, Doeschka A, Petr, Jan, Kuijf, Hugo J, Biessels, Geert Jan, Chen, Christopher
2021
in
Journal of Alzheimer's Disease
79
(3),
p. 1369-1380
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Cortical microinfarcts in memory clinic patients are associated with reduced cerebral perfusion
Ferro, DA, Mutsaerts, Henk-Jan, Hilal, Saima, Kuijf, Hugo J, Petersen, Esben T, Petr, Jan, van Veluw, Susanne J, Venketasubramanian, Narayanaswamy, Yeow, Tan Boon, Biessels, Geert Jan, Chen, Christopher
Sep
2020
in
Journal of Cerebral Blood Flow and Metabolism
40
(9),
p. 1869-1878
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High white matter hyperintensity burden in strategic white matter tracts relates to worse global cognitive performance in community-dwelling individuals
Biesbroek, J Matthijs, Lam, Bonnie Y K, Zhao, Lei, Tang, Yumi, Wang, Zhaolu, Abrigo, Jill, Chu, Winnie W C, Wong, Adrian, Shi, Lin, Kuijf, Hugo J, Biessels, Geert Jan, Mok, Vincent C T
Jul
2020
in
Journal of the Neurological Sciences
414
p. 1-6
-
Contrast leakage distant from the hematoma in patients with spontaneous ICH: A 7 T MRI study
Jolink, Wilmar MT, Lindenholz, Arjen, van Etten, Ellis S, van Nieuwenhuizen, Koen M, Schreuder, Floris Hbm, Kuijf, Hugo J, van Osch, Matthias Jp, Hendrikse, Jeroen, Rinkel, Gabriel Je, Wermer, Marieke JH, Klijn, Catharina JM
May
2020
in
Journal of Cerebral Blood Flow and Metabolism
40
(5),
p. 1002-1011
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Temporal Dynamics of Cortical Microinfarcts in Cerebral Small Vessel Disease
Ter Telgte, Annemieke, Wiegertjes, Kim, Gesierich, Benno, Baskaran, Brendon Sri, Marques, José P, Kuijf, Hugo J, Norris, David G, Tuladhar, Anil M, Duering, Marco, de Leeuw, Frank-Erik
May
2020
in
JAMA Neurology
77
(5),
p. 643-647
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Microbleeds colocalize with enlarged juxtacortical perivascular spaces in amnestic mild cognitive impairment and early Alzheimer's disease: A 7 Tesla MRI study
Bouvy, Willem H, van Veluw, Susanne J, Kuijf, Hugo J, Zwanenburg, Jaco Jm, Kappelle, Jaap L, Luijten, Peter R, Koek, Huiberdina L, Geerlings, Mirjam I, Biessels, Geert J, Utrecht Vascular Cognitive Impairment (VCI) Study group
Apr
2020
in
Journal of Cerebral Blood Flow and Metabolism
40
(4),
p. 739-746
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Perinatal thalamic injury: MRI predictors of electrical status epilepticus in sleep and long-term neurodevelopment
van den Munckhof, Bart, Zwart, Anne F, Weeke, Lauren C, Claessens, Nathalie H P, Plate, Joost D J, Leemans, Alexander, Kuijf, Hugo J, van Teeseling, Heleen C, Leijten, Frans S S, Benders, Manon J N, Braun, Kees P J, de Vries, Linda S, Jansen, Floor E
Apr
2020
in
Neuroimage: Clinical [E]
26
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Patient-specific fine-tuning of convolutional neural networks for follow-up lesion quantification
Jansen, Mariëlle, Kuijf, Hugo, Dhara, Ashis K., Weaver, Nick, Biessels, Geert Jan, Strand, Robin, Pluim, JPW
Nov
2020
in
Journal of Medical Imaging
7
(6),
p. 1-15
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ExploreASL: An image processing pipeline for multi-center ASL perfusion MRI studies
Mutsaerts, Henk J M M, Petr, Jan, Groot, Paul, Vandemaele, Pieter, Ingala, Silvia, Robertson, Andrew D, Václavů, Lena, Groote, Inge, Kuijf, Hugo, Zelaya, Fernando, O'Daly, Owen, Hilal, Saima, Wink, Alle Meije, Kant, Ilse, Caan, Matthan W A, Morgan, Catherine, de Bresser, Jeroen, Lysvik, Elisabeth, Schrantee, Anouk, Bjørnebekk, Astrid, Clement, Patricia, Shirzadi, Zahra, Kuijer, Joost P A, Wottschel, Viktor, Anazodo, Udunna C, Pajkrt, Dasja, Richard, Edo, Bokkers, Reinoud P H, Reneman, Liesbeth, Masellis, Mario, Günther, Matthias, MacIntosh, Bradley J, Achten, Eric, Chappell, Michael A, van Osch, Matthias J P, Golay, Xavier, Thomas, David L, De Vita, Enrico, Bjørnerud, Atle, Nederveen, Aart, Hendrikse, Jeroen, Asllani, Iris, Barkhof, Frederik
Oct
2020
in
NeuroImage
219
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Intracranial vessel wall lesions on 7T MRI and MRI features of cerebral small vessel disease-The SMART-MR study
Zwartbol, Maarten Ht, van der Kolk, Anja G, Kuijf, Hugo J, Witkamp, Theo D, Ghaznawi, Rashid, Hendrikse, Jeroen, Geerlings, Mirjam I, UCC-SMART Study Group*
Oct
2020
in
Journal of Cerebral Blood Flow and Metabolism
p. 271678X20958517
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Influence of Comorbidity of Cerebrovascular Disease and Amyloid-beta on Alzheimer's Disease
Yassi, Nawaf, Hilal, Saima, Xia, Ying, Lim, Yen Ying, Watson, Rosie, Kuijf, Hugo, Fowler, Christopher, Yates, Paul, Maruff, Paul, Martins, Ralph, Ames, David, Chen, Christopher, Rowe, Christopher C, Villemagne, Victor L, Salvado, Olivier, Desmond, Patricia M, Masters, Colin L
2020
in
Journal of Alzheimer's Disease
73
(3),
p. 897-907
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Small vessel disease lesion type and brain atrophy: The role of co-occurring amyloid
Heinen, Rutger, Groeneveld, Onno N, Barkhof, Frederik, de Bresser, Jeroen, Exalto, Lieza G, Kuijf, Hugo J, Prins, Niels D, Scheltens, Philip, van der Flier, Wiesje M, Biessels, Geert Jan, TRACE‐VCI study group
2020
in
Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
12
(1),
p. 1-11
-
Vascular Risk Factors of Hippocampal Subfield Volumes in Persons without Dementia: The Medea 7T Study
Blom, Kim, Koek, Huiberdina L, Zwartbol, Maarten H T, Ghaznawi, Rashid, Kuijf, Hugo J, Witkamp, Theo D, Hendrikse, Jeroen, Biessels, Geert Jan, Geerlings, Mirjam I, UCC-SMART Study Group
2020
in
Journal of Alzheimer's Disease
77
(3),
p. 1223-1239
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Sex differences in memory clinic patients with possible vascular cognitive impairment
Exalto, Lieza G, Boomsma, Jooske M F, Babapour Mofrad, Rosha, Barkhof, Frederik, Groeneveld, Onno N, Heinen, Rutger, Kuijf, Hugo J, Leeuwis, Anna E, Prins, Niels D, Biessels, Geert Jan, Vd Flier, Wiesje M, TRACE‐VCI study group
2020
in
Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
12
(1),
p. 1-10
-
Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
Biesbroek, J Matthijs, Kuijf, Hugo J, Weaver, Nick A, Zhao, Lei, Duering, Marco, Meta VCI Map consortium, Biessels, Geert Jan
Sep
2019
in
Jove-Journal of visualized experiments
2019
(151),
-
Impact of white matter hyperintensity location on depressive symptoms in memory-clinic patients: a lesion–symptom mapping study
Leeuwis, Anna E., Weaver, Nick A., Biesbroek, J. Matthijs, Exalto, Lieza G., Kuijf, Hugo J., Hooghiemstra, Astrid M., Prins, Niels D., Scheltens, Philip, Barkhof, Frederik, van der Flier, Wiesje M., Biessels, Geert Jan
Jul
2019
in
Journal of Psychiatry and Neuroscience
44
(4),
p. E1-E10
-
Cortical Microinfarcts and White Matter Connectivity in Memory Clinic Patients
Ferro, DA, Heinen, R, de Brito Robalo, BM, Kuijf, HJ, Biessels, GJ, Reijmer, YD, Utrecht Vascular Cognitive Impairment (VCI) Study group
Jun
2019
in
Frontiers in Neurology
10
(JUN),
p. 571
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Automatic classification of focal liver lesions based on MRI and risk factors
Jansen, MJA, Kuijf, HJ, Veldhuis, WB, Wessels, FJ, Viergever, MA, Pluim, JPW
May
2019
in
PLoS ONE [E]
14
(5),
-
Quantifying cardiac-induced brain tissue expansion using DENSE
Adams, Ayodeji L., Kuijf, Hugo J., Viergever, Max A., Luijten, Peter R., Zwanenburg, Jaco J.M.
Feb
2019
in
NMR in Biomedicine
32
(2),
p. e4050
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The association between lacunes and white matter hyperintensity features on MRI: The SMART-MR study
Ghaznawi, Rashid, Geerlings, Mirjam I, Jaarsma-Coes, Myriam G, Zwartbol, Maarten Ht, Kuijf, Hugo J, van der Graaf, Yolanda, Witkamp, Theo D, Hendrikse, Jeroen, de Bresser, Jeroen, SMART Study Group
Dec
2019
in
Journal of Cerebral Blood Flow and Metabolism
39
(12),
p. 2486-2496
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The Meta VCI Map consortium for meta-analyses on strategic lesion locations for vascular cognitive impairment using lesion-symptom mapping: Design and multicenter pilot study
Weaver, Nick A, Zhao, Lei, Biesbroek, J Matthijs, Kuijf, Hugo J, Aben, Hugo P, Bae, Hee-Joon, Caballero, Miguel Á A, Chappell, Francesca M, Chen, Christopher P L H, Dichgans, Martin, Duering, Marco, Georgakis, Marios K, van der Giessen, Ruben S, Gyanwali, Bibek, Hamilton, Olivia K L, Hilal, Saima, Vom Hofe, Elise M, de Kort, Paul L M, Koudstaal, Peter J, Lam, Bonnie Y K, Lim, Jae-Sung, Makin, Stephen D J, Mok, Vincent C T, Shi, Lin, Valdés Hernández, Maria C, Venketasubramanian, Narayanaswamy, Wardlaw, Joanna M, Wollenweber, Frank A, Wong, Adrian, Xin, Xu, Meta VCI Map consortium, Biessels, Geert Jan
Dec
2019
in
Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
11
p. 310-326
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Volumetric assessment of extracranial carotid artery aneurysms
de Vries, E E, van Laarhoven, C J H C M, Kuijf, H J, Hazenberg, C E V B, van Herwaarden, J A, Viergever, M A, de Borst, G J
Dec
2019
in
Scientific Reports
9
(1),
-
Cerebral amyloid burden is associated with white matter hyperintensity location in specific posterior white matter regions
Weaver, Nick A, Doeven, Thomas, Barkhof, Frederik, Biesbroek, J Matthijs, Groeneveld, Onno N, Kuijf, Hugo J, Daniël Prins, Niels, Scheltens, Philip, Teunissen, Charlotte E, van der Flier, Wiesje M, Biessels, Geert Jan, TRACE-VCI study group
Dec
2019
in
Neurobiology of Aging
84
p. 225-234
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Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Kuijf, Hugo J, Biesbroek, J Matthijs, de Bresser, Jeroen, Heinen, Rutger, Andermatt, Simon, Bento, Mariana, Berseth, Matt, Belyaev, Mikhail, Cardoso, M Jorge, Casamitjana, Adria, Collins, D Louis, Dadar, Mahsa, Georgiou, Achilleas, Ghafoorian, Mohsen, Jin, Dakai, Khademi, April, Knight, Jesse, Li, Hongwei, Llado, Xavier, Luna, Miguel, Mahmood, Qaiser, McKinley, Richard, Mehrtash, Alireza, Ourselin, Sebastien, Park, Bo-Yong, Park, Hyunjin, Park, Sang Hyun, Pezold, Simon, Puybareau, Elodie, Rittner, Leticia, Sudre, Carole H, Valverde, Sergi, Vilaplana, Veronica, Wiest, Roland, Xu, Yongchao, Xu, Ziyue, Zeng, Guodong, Zhang, Jianguo, Zheng, Guoyan, Chen, Christopher, van der Flier, Wiesje, Barkhof, Frederik, Viergever, Max A, Biessels, Geert Jan
Nov
2019
in
IEEE Transactions on Medical Imaging
38
(11),
p. 2556-2568
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Performance of five automated white matter hyperintensity segmentation methods in a multicenter dataset
Heinen, Rutger, Steenwijk, Martijn D., Barkhof, Frederik, Biesbroek, J. Matthijs, van der Flier, Wiesje M., Kuijf, H. J., Prins, N. D., Vrenken, Hugo, Biessels, Geert Jan, de Bresser, Jeroen, Vriens, E., TRACE-VCI study group
Nov
2019
in
Scientific Reports
9
(1),
-
The contribution of acute infarcts to cerebral small vessel disease progression
Ter Telgte, Annemieke, Wiegertjes, Kim, Gesierich, Benno, Marques, José P, Huebner, Mathias, de Klerk, Jabke J, Schreuder, Floris H B M, Araque Caballero, Miguel A, Kuijf, Hugo J, Norris, David G, Klijn, Catharina J M, Dichgans, Martin, Tuladhar, Anil M, Duering, Marco, de Leeuw, Frank-Erik
Oct
2019
in
Annals of Neurology
86
(4),
p. 582-592
-
Liver segmentation and metastases detection in MR images using convolutional neural networks
Jansen, Mariëlle J A, Kuijf, Hugo J, Niekel, Maarten, Veldhuis, Wouter B, Wessels, Frank J, Viergever, Max A, Pluim, Josien P W
Oct
2019
in
Journal of Medical Imaging
6
(4),
-
Intracranial Vessel Wall Magnetic Resonance Imaging Does Not Allow for Accurate and Precise Wall Thickness Measurements: An Ex Vivo Study
van Hespen, Kees M., Zwanenburg, Jaco J.M., Harteveld, Anita A., Luijten, Peter R., Hendrikse, Jeroen, Kuijf, Hugo J.
Oct
2019
in
Stroke
50
(10),
p. e283-e284
-
The Clinical Phenotype of Vascular Cognitive Impairment in Patients with Type 2 Diabetes Mellitus
Groeneveld, Onno N, Moneti, Costanza, Heinen, Rutger, de Bresser, Jeroen, Kuijf, Hugo J, Exalto, Lieza G, Boomsma, Jooske M F, Kappelle, L Jaap, Barkhof, Frederik, Prins, Niels D, Scheltens, Philip, van der Flier, Wiesje M, Biessels, Geert Jan, TRACE-VCI study group
Jan
2019
in
Journal of Alzheimer's Disease
68
(1),
p. 311-322
-
-
-
Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing
van der Velden, BHM, de Vos, Bob D., Loo, Claudette E., Kuijf, HJ, Isgum, I, Gilhuijs, KG
2019 in Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing: SPIE Medical Imaging p. (; vol. )
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Strategic infarct location for post-stroke cognitive impairment: A multivariate lesion-symptom mapping study
Zhao, Lei, Biesbroek, J. Matthijs, Shi, Lin, Liu, Wenyan, Kuijf, Hugo J., Chu, Winnie W.C., Abrigo, Jill M., Lee, Ryan K.L., Leung, Thomas W.H., Lau, Alexander Y.L., Biessels, Geert J., Mok, Vincent, Wong, Adrian
Aug
2018
in
Journal of Cerebral Blood Flow and Metabolism
38
(8),
p. 1299-1311
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Data on vessel wall thickness measurements of intracranial arteries derived from human circle of Willis specimens
Harteveld, Anita A., Denswil, Nerissa P., Hecke, Wim Van, Kuijf, Hugo J., Vink, Aryan, Spliet, Wim G.M., Daemen, Mat J., Luijten, Peter R., Zwanenburg, Jaco J.M., Hendrikse, Jeroen, Kolk, Anja G. van der
Aug
2018
in
Data Brief
19
p. 6-12
-
Body representation disorders predict left right orientation impairments after stroke: A voxel-based lesion symptom mapping study
van Stralen, Haike E., Dijkerman, H. Chris, Biesbroek, J. Matthijs, Kuijf, Hugo J., van Gemert, H. Maarten A, Sluiter, David, Kappelle, L. Jaap, van Zandvoort, Martine J.E.
Jul
2018
in
Cortex
104
(july),
p. 140-153
-
Ex vivo vessel wall thickness measurements of the human circle of Willis using 7T MRI
Harteveld, Anita A., Denswil, Nerissa P., Van Hecke, Wim, Kuijf, Hugo J., Vink, Aryan, Spliet, Wim G.M., Daemen, Mat J., Luijten, Peter R., Zwanenburg, Jaco J.M., Hendrikse, Jeroen, van der Kolk, Anja G.
Jun
2018
in
Atherosclerosis
273
p. 106-114
-
-
Impact of different palliative systemic treatments on skeletal muscle mass in metastatic colorectal cancer patients
Kurk, Sophie A, Peeters, Petra H M, Dorresteijn, Bram, de Jong, Pim A, Jourdan, Marion, Kuijf, Hugo J, Punt, Cornelis J A, Koopman, Miriam, May, Anne M
Oct
2018
in
J Cachexia Sarcopenia Muscle
9
(5),
p. 909-919
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White matter hyperintensity shape and location feature analysis on brain MRI; Proof of principle study in patients with diabetes
De Bresser, Jeroen, Kuijf, Hugo J., Zaanen, Karlijn, Viergever, Max A., Hendrikse, Jeroen, Biessels, Geert Jan, Utrecht Vascular Cognitive Impairment Study Group
Jan
2018
in
Scientific Reports
8
(1),
-
Automated Multi-Atlas Segmentation of Hippocampal and Extrahippocampal Subregions in Alzheimer's Disease at 3T and 7T: What Atlas Composition Works Best?
Xie, Long, Shinohara, Russell T, Ittyerah, Ranjit, Kuijf, Hugo J, Pluta, John B, Blom, Kim, Kooistra, Minke, Reijmer, Yael D, Koek, Huiberdina L, Zwanenburg, Jaco J M, Wang, Hongzhi, Luijten, Peter R, Geerlings, Mirjam I, Das, Sandhitsu R, Biessels, Geert Jan, Wolk, David A, Yushkevich, Paul A, Wisse, Laura E M
Jan
2018
in
Journal of Alzheimer's Disease
63
(1),
p. 217-225
-
Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI
Moeskops, Pim, de Bresser, Jeroen, Kuijf, Hugo J., Mendrik, AM, Biessels, Geert Jan, Pluim, Josien P.W., Išgum, Ivana
2018
in
Neuroimage: Clinical [E]
17
p. 251-262
-
Brain imaging correlates of mild cognitive impairment and early dementia in patients with type 2 diabetes mellitus
Groeneveld, O., Reijmer, Y., Heinen, R., Kuijf, H., Koekkoek, P., Janssen, J., Rutten, G., Kappelle, L., Biessels, G., COG-ID study group
2018
in
NMCD : Nutrition metabolism and cardiovascular diseases
28
(12),
p. 1253-1260
-
Automatic detection of cortical microinfarcts on 3T brain MRI using deep convolutional neural networks
Kuijf, Hugo, Veta, Mitko, Hilal, Saima, van Veluw, Susanne, Viergever, Max A., Pluim, JPW, Chen, Christopher, Biessels, Geert Jan
2018 at Automatic detection of cortical microinfarcts on 3T brain MRI using deep convolutional neural networks
-
-
Evaluation of motion correction for clinical dynamic contrast enhanced MRI of the liver
Jansen, M. J.A., Kuijf, H. J., Veldhuis, W. B., Wessels, F. J., Van Leeuwen, M. S., Pluim, J. P.W.
Sep
2017
in
Physics in Medicine and Biology
62
(19),
p. 7556-7568
-
High-resolution intracranial vessel wall MRI in an elderly asymptomatic population: comparison of 3T and 7T
Harteveld, Anita A, van der Kolk, Anja G, van der Worp, HB, Dieleman, Nikki, Siero, JCW, Kuijf, Hugo J, Frijns, CJM, Luijten, Peter R, Zwanenburg, Jaco J M, Hendrikse, J
Apr
2017
in
European Radiology
27
(4),
p. 1585–1595
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Reduced vascular amyloid burden at microhemorrhage sites in cerebral amyloid angiopathy
van Veluw, Susanne J., Kuijf, Hugo J., Charidimou, Andreas, Viswanathan, Anand, Biessels, Geert Jan, Rozemuller, Annemieke J M, Frosch, Matthew P., Greenberg, Steven M.
Mar
2017
in
Acta Neuropathologica
133
(3),
p. 409-415
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Corrigendum to “The right hemisphere is dominant in organization of visual search—A study in stroke patients” [Behav. Brain Res. 304 (2016) 71–79]((S0166432816300626)(10.1016/j.bbr.2016.02.004))
ten Brink, Antonia F., Biesbroek, J. Matthijs, Kuijf, Hugo J., Van der Stigchel, Stefan, Oort, Quirien, Visser-Meily, Johanna M A, Nijboer, Tanja C W
Feb
2017
in
Behavioural Brain Research
319
p. 234
-
Evolution of cerebral microbleeds after cranial irradiation in medulloblastoma patients
Roongpiboonsopit, Duangnapa, Kuijf, Hugo J., Charidimou, Andreas, Xiong, Li, Vashkevich, Anastasia, Martinez-Ramirez, Sergi, Shih, Helen A., Gill, Corey M., Viswanathan, Anand, Dietrich, Jorg
Feb
2017
in
Neurology
88
(8),
p. 789-796
-
Morphological characteristics of diffuse idiopathic skeletal hyperostosis in the cervical spine
Bakker, Jessica T, Kuperus, Jonneke S , Kuijf, Hugo J, Oner, F Cumhur, de Jong, Pim A, Verlaan, Jorrit-Jan
Nov
2017
in
PLoS ONE [E]
12
(11),
-
Visuospatial Functioning in Cerebral Amyloid Angiopathy: A Pilot Study
Valenti, Raffaella, Charidimou, Andreas, Xiong, Li, Boulouis, Gregoire, Fotiadis, Panagiotis, Ayres, Alison, Riley, Grace, Kuijf, Hugo J., Reijmer, Yael D., Pantoni, Leonardo, Gurol, M. Edip, Davidsdottir, Sigurros, Greenberg, Steven M., Viswanathan, Anand
2017
in
Journal of Alzheimer's Disease
56
(4),
p. 1223-1227
-
Abnormalities of Cerebral Deep Medullary Veins on 7 Tesla MRI in Amnestic Mild Cognitive Impairment and Early Alzheimer's Disease: A Pilot Study
Bouvy, Willem H, Kuijf, Hugo J, Zwanenburg, Jaco J M, Koek, Huiberdina L, Kappelle, L Jaap, Luijten, Peter R, Ikram, M Kamran, Biessels, Geert Jan, Utrecht Vascular Cognitive Impairment (VCI) Study group
2017
in
Journal of Alzheimer's Disease
57
(3),
p. 705-710
-
Assessment of blood flow velocity and pulsatility in cerebral perforating arteries with 7-T quantitative flow MRI
Bouvy, W. H., Geurts, L. J., Kuijf, H. J., Luijten, P. R., Kappelle, L. J., Biessels, G. J., Zwanenburg, J. J M
Sep
2016
in
NMR in Biomedicine
29
(9),
p. 1295-1304
-
Cover Image, Volume 29, Issue 9
Bouvy, W. H., Geurts, L. J., Kuijf, H. J., Luijten, P. R., Kappelle, L. J., Biessels, G. J., Zwanenburg, J. J M
Sep
2016
in
NMR in Biomedicine
29
(9),
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Strong evidence for pattern separation in human dentate gyrus
Berron, David, Schütze, Hartmut, Maass, Anne, Cardenas-Blanco, Arturo, Kuijf, Hugo J., Kumaran, Dharshan, Düzel, Emrah
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Automated hippocampal subfield segmentation at 7T MRI
Wisse, L. E M, Kuijf, H. J., Honingh, A. M., Wang, H., Pluta, J. B., Das, S. R., Wolk, D. A., Zwanenburg, J. J M, Yushkevich, P. A., Geerlings, M. I.
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The right hemisphere is dominant in organization of visual search-A study in stroke patients
Ten Brink, Antonia F., Biesbroek, Matthijs, Kuijf, Hugo J., Van der Stigchel, Stefan, Oort, Quirien, Visser-Meily, Johanna M A, Nijboer, Tanja C W
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2016
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Impact of Strategically Located White Matter Hyperintensities on Cognition in Memory Clinic Patients with Small Vessel Disease
Biesbroek, J. Matthijs, Weaver, Nick A., Hilal, Saima, Kuijf, Hugo J., Ikram, Kamran, Xu, Xin, Tan, Boon Yeow, Venketasubramanian, Narayanaswamy, Postma, Albert, Biessels, Geert Jan, Chen, Christopher P L H
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Quantification of deep medullary veins at 7 T brain MRI
Kuijf, Hugo J., Bouvy, Willem H., Zwanenburg, Jaco J M, Schultz, Tom B Razoux, Viergever, Max A., Vincken, Koen L., Biessels, Geert Jan
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Wisse, L. E M, Gerritsen, L., Zwanenburg, J. J M, Kuijf, H. J., Luijten, P. R., Biessels, G. J., Geerlings, M. I.
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Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities
Kuijf, Hugo J., Moeskops, Pim, De Vos, Bob D., Bouvy, Willem H., De Bresser, Jeroen, Biessels, Geert Jan, Viergever, Max A., Vincken, Koen L.
2016 in Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities: Medical Imaging 2016 p. (Proceedings of SPIE; vol. 9784)
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Employing visual analytics to aid the design of white matter hyperintensity classifiers
Raidou, Renata Georgia, Kuijf, Hugo J., Sepasian, Neda, Pezzotti, Nicola, Bouvy, Willem H., Breeuwer, Marcel, Vilanova, Anna
2016 in Employing visual analytics to aid the design of white matter hyperintensity classifiers: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 p. 97-105 (Lecture Notes in Computer Science; vol. 9901)
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Cortical microinfarcts on 3T MRI: Clinical correlates in memory-clinic patients
Van Veluw, Susanne J., Hilal, Saima, Kuijf, Hugo J., Ikram, Mohammad Kamran, Xin, Xu, Yeow, Tan Boon, Venketasubramanian, Narayanaswamy, Biessels, Geert Jan, Chen, Christopher
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Distinct anatomical correlates of discriminability and criterion setting in verbal recognition memory revealed by lesion-symptom mapping
Biesbroek, J. Matthijs, van Zandvoort, Martine J E, Kappelle, L. Jaap, Schoo, Linda, Kuijf, Hugo J., Velthuis, BK, Biessels, Geert Jan, Postma, Albert
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Microstructural brain abnormalities in Huntington's disease: A two-year follow-up
Odish, Omar F F, Leemans, A, Reijntjes, Robert H A M, van den Bogaard, Simon J A, Dumas, Eve M., Wolterbeek, Ron, Tax, Chantal M W, Kuijf, Hugo J., Vincken, Koen L., van der Grond, Jeroen, Roos, Raymund A C
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Automated detection of periventricular veins on 7 T brain MRI
Kuijf, Hugo J., Bouvy, Willem H., Zwanenburg, Jaco J M, Viergever, Max A., Biessels, Geert Jan, Vincken, Koen L.
2015 in Automated detection of periventricular veins on 7 T brain MRI: Progress in Biomedical Optics and Imaging - Proceedings of SPIE p. (; vol. )
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Cerebral microbleeds after whole brain radiation therapy in medulloblastoma patients
Roongpiboonsopit, Duangnapa, Alstein, Lily, Kuijf, HJ, Charidimou, Andreas, Xiong, Li, Vashkevich, Anastasia, Martinez-Ramirez, Sergi, Shih, Helen, Viswanathan, Anand, Dietrich, Jorg
2015 at Cerebral microbleeds after whole brain radiation therapy in medulloblastoma patients
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MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans
Mendrik, Adriënne M., Vincken, Koen L., Kuijf, Hugo J., Breeuwer, Marcel, Bouvy, Willem H., De Bresser, Jeroen, Alansary, Amir, De Bruijne, Marleen, Carass, Aaron, El-Baz, Ayman, Jog, Amod, Katyal, Ranveer, Khan, Ali R., Van Der Lijn, Fedde, Mahmood, Qaiser, Mukherjee, Ryan, Van Opbroek, Annegreet, Paneri, Sahil, Pereira, Sérgio, Persson, Mikael, Rajchl, Martin, Sarikaya, Duygu, Smedby, Örjan, Silva, Carlos A., Vrooman, Henri A., Vyas, Saurabh, Wang, Chunliang, Zhao, Liang, Biessels, Geert Jan, Viergever, Max A.
2015
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Hippocampal Disconnection in Early Alzheimer's Disease: A 7 Tesla MRI Study
Wisse, Laura E. M., Reijmer, Yael D., ter Telgte, Annemieke, Kuijf, Hugo J., Leemans, Alexander, Luijten, Peter R., Koek, Huiberdina L., Geerlings, Mirjam I., Biessels, Geert Jan, Utrecht Vasc Cognitive Impairment
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The anatomy of visuospatial construction revealed by lesion-symptom mapping
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Cerebral cortical microinfarcts at 7Tesla MRI in patients with early Alzheimer's disease
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Cerebral microvascular lesions on high-resolution 7-tesla MRI in patients with type 2 diabetes
Brundel, M., Reijmer, Y.D., van Veluw, S.J., Kuijf, H.J., Luijten, P.R., Kappelle, L.J., Algra, A., Rutten, G.E.H.M., Utrecht Vascular Cognitive Impairment Study Group, x, Biessels, G.J.
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Hippocampal subfield volumes at 7T in early Alzheimer's disease and normal aging
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Visualization of the aneurysm wall: a 7.0-tesla magnetic resonance imaging study
Kleinloog, R., Korkmaz, E., Zwanenburg, J.J.M., Kuijf, H.J., Visser, F., Blankena, R., Post, J.A., Ruigrok, Y.M., Luijten, P.R., Regli, L.P.E., Rinkel, G.J.E., Verweij, B.H.
2014
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Automatic extraction of the midsagittal surface from brain MR images using the kullback-leibler measure
Kuijf, H.J., van Veluw, S.J., Geerlings, M.I., Viergever, M.A., Biessels, G.J., Vincken, K.L.
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Visualization of perivascular spaces and perforating arteries with 7 T magnetic resonance imaging
Bouvy, W.H., Biessels, G.J., Kuijf, H.J., Kappelle, L.J., Luijten, P.R., Zwanenburg, J.J.M.
2014
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Tracking of cell nuclei for assessment of in vitro uptake kinetics in ultrasound-mediated drug delivery using fibered confocal fluorescence microscopy
Derieppe, M.P.P., de Senneville, B.D., Kuijf, H.J., Moonen, C.T.W., Bos, C.
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The added value of diffusion tensor imaging for automated white matter hyperintensity segmentation
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Registration of brain CT images to an MRI template for the purpose of lesion-symptom mapping
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Observer performance in semi-automated microbleed detection
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Semi-automated detection of cerebral microbleeds on 3.0 T MR images
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Efficient detection of cerebral microbleeds on 7.0T MR images using the radial symmetry transform
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