Hugo Kuijf

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.

Publications

• 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 (151),
• 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 2019 in Journal of Cerebral Blood Flow and Metabolism p. 271678X19877403
• 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 Aug 2019 in Neurobiology of Aging
• 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
• 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),
• 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 2019 in Journal of Cerebral Blood Flow and Metabolism p. 271678X19852876
• 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 Mar 2019 in Journal of Cerebral Blood Flow and Metabolism p. 271678X19838087
• 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 Mar 2019 in IEEE Transactions on Medical Imaging
• 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
• 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
• 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
• 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),
• 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
• Subvoxel vessel wall thickness measurements from vessel wall MR images
  van Hespen, KM, Zwanenburg, JJM, Hendrikse, J, Kuijf, HJ jan 2019 at Subvoxel vessel wall thickness measurements from vessel wall MR images
• 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. )
• 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 2019 in Journal of Alzheimer's Disease 68 (1), p. 311-322
• Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation
  Jansen, MJA, Kuijf, HJ, Pluim, JPW 2019 at Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation
• 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
• 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
• Automatic classification of focal liver lesions based on clinical DCE-MR and T2-weighted images: A feasibility study
  Jansen, M. J.A., Kuijf, H. J., Pluim, J. P.W. may 2018 in Automatic classification of focal liver lesions based on clinical DCE-MR and T2-weighted images:A feasibility study 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018 p. 245-248 (; vol. )
• 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 Dec 2018 in Scientific Reports 8 (1),
• 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
• 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
• 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 2018 in Journal of Alzheimer's Disease 63 (1), p. 217-225
• 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 2018 in Data Brief 19 p. 6-12
• 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
• 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
• 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
• 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), p. 1
• 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 Jul 2016 in Journal of Neuroscience 36 (29), p. 7569-7579
• 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. Jun 2016 in American Journal of Neuroradiology 37 (6), p. 1050-1057
• 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 May 2016 in Behavioural Brain Research 304 p. 71-79
• 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 Nov 2016 in PLoS ONE [E] 11 (11),
• 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 Oct 2016 in European Radiology 26 (10), p. 3412-3418
• Erratum to "Subfields of the hippocampal formation at 7T MRI: In vivo volumetric assessment" [NeuroImage 61 (2012) 1043-1049]
  Wisse, L. E M, Gerritsen, L., Zwanenburg, J. J M, Kuijf, H. J., Luijten, P. R., Biessels, G. J., Geerlings, M. I. Jan 2016 in NeuroImage 125 p. 1176-1177
• 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)
• 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)
• 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 Dec 2015 in Alzheimer's & Dementia 11 (12), p. 1500-1509
• 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 Jan 2015 in Human Brain Mapping 36 (4), p. 1292-1303
• 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 Jan 2015 in Human Brain Mapping 36 (6), p. 2061-2074
• 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. )
• 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
• 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 in Computational Intelligence and Neuroscience 2015
• 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 2015 in Journal of Alzheimer's Disease 45 (4), p. 1247-1256
• The anatomy of visuospatial construction revealed by lesion-symptom mapping
  Biesbroek, J.M., van Zandvoort, M.J.E., Kuijf, H.J., Weaver, N.A., Kappelle, L.J., Vos, P.C., Velthuis, B.K., Biessels, G.J., Utrecht Vascular Cognitive Impairment Study Group, x, et al, X, Postma, A. 2014 in Neuropsychologia 62 (1), p. 68-76
• Cerebral cortical microinfarcts at 7Tesla MRI in patients with early Alzheimer's disease
  van Veluw, S.J., Heringa, S.M., Kuijf, H.J., Koek, H.L., Luijten, P.R., Utrecht Vascular Cognitive Impairment Study Group, x, et al, X, Biessels, G.J. 2014 in Journal of Alzheimer's Disease 39 (1), p. 163-167
• 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. 2014 in Diabetes 63 (10), p. 3523-3529
• Hippocampal subfield volumes at 7T in early Alzheimer's disease and normal aging
  Wisse, L.E.M., Biessels, G.J., Heringa, S.M., Kuijf, H.J., Koek, D.H., Luijten, P.R., Utrecht Vascular Cognitive Impairment Study Group, x, et al, X, Geerlings, M.I. 2014 in Neurobiology of Aging 35 (9), p. 2039-2045
• 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 in Neurosurgery 75 (6), p. 614-622
• 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. 2014 in Neuroinformatics 12 (3), p. 395-403
• 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 in Investigative Radiology 49 (5), p. 307-313
• 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. 2014 in Molecular Imaging and Biology 16 (5), p. 642-651
• The added value of diffusion tensor imaging for automated white matter hyperintensity segmentation
  Kuijf, Hugo J., Tax, Chantal M W, Zaanen, L. Karlijn, Bouvy, Willem H., de Bresser, Jeroen, Leemans, Alexander, Viergever, Max A., Biessels, Geert Jan, Vincken, Koen L. 2014 in The added value of diffusion tensor imaging for automated white matter hyperintensity segmentation: Mathematics and Visualization p. 45-53 (Mathematics and Visualization; vol. 39)
• Observer performance in semi-automated microbleed detection
  Kuijf, HJ, Brundel, M, de Bresser, JHJM, Viergever, MA, Biessels, GJ, Geerlings, MI, Vincken, KL jun 2013 in Observer performance in semi-automated microbleed detection: Proc. SPIE 8673, Medical Imaging 2013: Image Perception, Observer Performance, and Technology Assessment p. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 8673)
• Assessment of methods to extract the mid-sagittal plane from brain MR images
  Kuijf, H.J., Leemans, A., Viergever, M.A., Vincken, K.L. mar 2013 in Assessment of methods to extract the mid-sagittal plane from brain MR images: SPIE Medical Imaging p. 86731K (; vol. )
• Semi-automated detection of cerebral microbleeds on 3.0 T MR images
  Kuijf, H.J., Brundel, M., de Bresser, J.H.J.M., van Veluw, S.J., Heringa, S.M., Viergever, M.A., Biessels, G.J., Vincken, K.L. 2013 in PLoS ONE [E] 8 (6), p. e66610
• Hippocampal T2 hyperintensities on 7 Tesla MRI
  van Veluw, S.J., Wisse, L.E.M., Kuijf, H.J., Spliet, W.G.M., Hendrikse, J., Luijten, P.R., Geerlings, M.I., Biessels, G.J. 2013 in Neuroimage: Clinical [E] 3 p. 196-201
• Association between Subcortical Vascular Lesion Location and Cognition: A Voxel-Based and Tract-Based Lesion-Symptom Mapping Study. The SMART-MR Study
  Biesbroek, J.M., Kuijf, H.J., van der Graaf, Y., Vincken, K.L., Postma, A., Mali, W.P.T.M., Biessels, G.J., Algra, A., Doevendans, P.A., Grobbee, D.E., Rutten, G.E.H.M., Kappelle, L.J., Moll, F.L., Visseren, F.L.J., SMART Study Group, x, Geerlings, M.I. 2013 in PLoS ONE [E] 8 (4), p. e60541
• Quantitative analysis of the closure pattern of the neurocentral junction as related to preexistent rotation in the normal immature spine.
  Schlosser, T.P., Vincken, K.L., Attrach, H., Kuijf, H.J., Viergever, M.A., Janssen, M.M.A., Castelein, R.M. 2013 in The Spine Journal 13 (7), p. 756-763
• How to assess the reliability of cerebral microbleed rating?
  Kuijf, H.J., van Veluw, S.J., Viergever, M.A., Vincken, K.L., Biessels, G.J. 2013 in Frontiers in Aging Neuroscience [E] 5 p. 57
• Registration of Brain CT Images to an MRI Template for the Purpose of Lesion-Symptom Mapping
  Kuijf, HJ, Biesbroek, JM, Viergever, MA, Biessels, GJ, Vincken, KL 2013 in Registration of Brain CT Images to an MRI Template for the Purpose of Lesion-Symptom Mapping: Multimodal Brain Image Analysis p. (Lecture Notes in Computer Science; vol. 8159)
• Detecting cortical cerebral microinfarcts in 7.0 T MR images
  Kuijf, HJ, Zijlstra, F, van Veluw, SJ, Viergever, MA, Vincken, KL, Biessels, GJ 2013 at Detecting cortical cerebral microinfarcts in 7.0 T MR images
• Automatic Extraction of the Curved Midsagittal Brain Surface on MR Images
  Kuijf, HJ, Viergever, MA, Vincken, KL 2013 in Automatic Extraction of the Curved Midsagittal Brain Surface on MR Images: Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging p. 225-232 (; vol. )
• Subfields of the hippocampal formation at 7T MRI: In vivo volumetric assessment
  Wisse, L. E.M., Gerritsen, L., Zwanenburg, J. J.M., Kuijf, H. J., Luijten, P. R., Biessels, G. J., Geerlings, M. I. Jul 2012 in NeuroImage 61 (4), p. 1043-1049
• Efficient detection of cerebral microbleeds on 7.0T MR images using the radial symmetry transform
  Kuijf, H.J., de Bresser, J.H.J.M., Geerlings, M.I., Conijn, M.M.A., Viergever, M.A., Biessels, G.J., Vincken, K.L. 2012 in NeuroImage 59 (3), p. 2266-2273
• Subfields of the hippocampal formation at 7 T MRI: in vivo volumetric assessment.
  Wisse, L.E.M., Gerritsen, L., Zwanenburg, J.J.M., Kuijf, H.J., Luijten, P.R., Biessels, G.J., Geerlings, M.I. 2012 in NeuroImage 61 (4), p. 1043-1049
• Detecting cerebral microbleeds in 7.0 T MR images using the radial symmetry transform
  Kuijf, HJ, de Bresser, JHJM, Biessels, GJ, Viergever, MA, Vincken, KL 2011 in Detecting cerebral microbleeds in 7.0 T MR images using the radial symmetry transform: 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 p. 758-761 (; vol. )