Hugo J. Kuijf - RankMe

63 papers B 8Journal 36Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Automated segmenta-on of pediatric neuroblastoma on multi-modal MRI: Results of the SPPIN challenge at MICCAI 2023. CoRR Myrthe A. D. Buser, D. C. Simons, M. Fitski, Marc H. W. A. Wijnen, A. S. Littooij, A. H. ter Brugge, Iris N. Vos, Markus H. A. Janse, M. den Boer, R. ter Maat, Junya Sato, S. Kido, Satoshi Kondo, Satoshi Kasai, Marek Wodzinski, Henning Müller, Jin Ye, Junjun He, Yannick Kirchhoff, M. R. Rokkus, G. Haokai, S. Zitong, M. Fernández-Patón, Diana Veiga Canuto, D. G. Ellis, Michele R. Aizenberg, Bas H. M. van der Velden, Hugo J. Kuijf, A. De Luca, Alida F. W. van der Steeg
2025	J	`jnl`	Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO AMD Progression Challenge. CoRR Rachid Zeghlache, Ikram Brahim, Pierre-Henri Conze, Mathieu Lamard, Mohammed El Amine Lazouni, Elaouaber Zineb Aziza, Leila Ryma Lazouni, Christopher Nielsen, Ahmad O. Ahsan, Matthias Wilms, Nils D. Forkert, Lovre Antonio Budimir, Ivana Zadro Matovinovic, Donik Vrsnak, Sven Loncaric, Philippe Zhang, Weili Jiang, Yihao Li, Yiding Hao, Markus Frohmann, Patrick Binder, Marcel Huber, Taha Emre, Teresa Araújo, Marzieh Oghbaie, Hrvoje Bogunovic, Amerens A. Bekkers, Nina M. van Liebergen, Hugo J. Kuijf, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Alberto J. Beltrán-Carrero, Juan J. Gómez-Valverde, Javier Torresano-Rodríguez, Álvaro Caballero-Sastre, María J. Ledesma-Carbayo, Yosuke Yamagishi, Yi Ding, Robin Peretzke, Alexandra Ertl, Maximilian Fischer, Jessica Kächele, Sofiane Zehar, Karim Boukli Hacene, Thomas Monfort, Béatrice Cochener, Mostafa El Habib Daho, Anas-Alexis Benyoussef, Gwenolé Quellec
2025	J	`jnl`	Evaluation of techniques for automated classification and artery quantification of the circle of Willis on TOF-MRA images: The CROWN challenge. Medical Image Anal. Iris N. Vos, Ynte M. Ruigrok, Edwin Bennink, Mireille R. E. Velthuis, Barbara Paic, Maud E. H. Ophelders, Myrthe A. D. Buser, Bas H. M. van der Velden, Chen Geng, Matthieu Coupet, Félix Dumais, Adrian Galdran, Junyi Zhang, Wei Liu, Ting Ma, Madhu S. Nair, Mathieu Naudin, Preena K. P., Keerthi A. S. Pillai, Pengcheng Shi, Thierry Urruty, Yakang Dai, Kaiyuan Yang, Fabio Musio, Bjoern H. Menze, Birgitta K. Velthuis, Hugo J. Kuijf
2025	J	`jnl`	Occlusion Robustness of CLIP for Military Vehicle Classification. CoRR Jan Erik van Woerden, Gertjan J. Burghouts, Lotte Nijskens, Alma M. Liezenga, Sabina van Rooij, Frank Ruis, Hugo J. Kuijf
2025	J	`jnl`	Textual Inversion for Efficient Adaptation of Open-Vocabulary Object Detectors Without Forgetting. CoRR Frank Ruis, Gertjan J. Burghouts, Hugo J. Kuijf
2024	—	`conf`	Exploring the Use of Off-the-Shelf AI Models for Complex Medical Tasks: ResNet18 for Predicting Age-Related Macular Degeneration. DIAMOND/MARIO@MICCAI Amerens A. Bekkers, Nina M. van Liebergen, Hugo J. Kuijf
2024	J	`jnl`	QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze
2024	—	`conf`	Synthesizing Classifiers from Prior Knowledge. VISIGRAPP (2): VISAPP Gertjan J. Burghouts, Klamer Schutte, Maarten Kruithof, Wyke Huizinga, Frank Ruis, Hugo J. Kuijf
2023	—	`conf`	Assessment of cerebral vascular abnormality quantification technique to aid aneurysm localization. Image Perception, Observer Performance, and Technology Assessment Giulia de Donno, Kimberley M. Timmins, Hugo J. Kuijf
2023	J	`jnl`	Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. CoRR Kaiyuan Yang, Fabio Musio, Yihui Ma, Norman Juchler, Johannes C. Paetzold, Rami Al-Maskari, Luciano Höher, Hongwei Bran Li, Ibrahim Ethem Hamamci, Anjany Sekuboyina, Suprosanna Shit, Houjing Huang, Diana Waldmannstetter, Florian Kofler, Fernando Navarro, Martin J. Menten, Ivan Ezhov, Daniel Rueckert, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf, Julien Hämmerli, Catherine Wurster, Philippe Bijlenga, Laura Westphal, Jeroen Bisschop, Elisa Colombo, Hakim Baazaoui, Andrew Makmur, James Hallinan, Benedikt Wiestler, Jan S. Kirschke, Roland Wiest, Emmanuel Montagnon, Laurent Létourneau-Guillon, Adrian Galdran, Francesco Galati, Daniele Falcetta, Maria A. Zuluaga, Chaolong Lin, Haoran Zhao, Zehan Zhang, Sinyoung Ra, Jongyun Hwang, Hyunjin Park, Junqiang Chen, Marek Wodzinski, Henning Müller, et al.
2023	—	`conf`	Calibration techniques for node classification using graph neural networks on medical image data. MIDL Iris N. Vos, Ishaan Bhat, Birgitta K. Velthuis, Ynte M. Ruigrok, Hugo J. Kuijf
2023	J	`jnl`	Effect of latent space distribution on the segmentation of images with multiple annotations. CoRR Ishaan Bhat, Josien P. W. Pluim, Max A. Viergever, Hugo J. Kuijf
2023	J	`jnl`	Geometric Deep Learning Using Vascular Surface Meshes for Modality-Independent Unruptured Intracranial Aneurysm Detection. IEEE Trans. Medical Imaging Kimberley M. Timmins, Irene C. van der Schaaf, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf
2022	—	`conf`	Assessment of manual and automated intracranial artery diameter measurements. Image Perception, Observer Performance, and Technology Assessment Iris N. Vos, Maud E. H. Ophelders, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf
2022	J	`jnl`	Blood Flow Velocity Pulsatility and Arterial Diameter Pulsatility Measurements of the Intracranial Arteries Using 4D PC-MRI. Neuroinformatics Kees M. van Hespen, Hugo J. Kuijf, Jeroen Hendrikse, Peter R. Luijten, Jaco J. M. Zwanenburg
2022	—	`conf`	Deep learning with vessel surface meshes for intracranial aneurysm detection. Computer-Aided Diagnosis Kimberley M. Timmins, Irene C. van der Schaaf, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf
2022	J	`jnl`	Explainable artificial intelligence (XAI) in deep learning-based medical image analysis. Medical Image Anal. Bas H. M. van der Velden, Hugo J. Kuijf, Kenneth G. A. Gilhuijs, Max A. Viergever
2022	—	`conf`	Future Unruptured Intracranial Aneurysm Growth Prediction Using Mesh Convolutional Neural Networks. EPIMI/ML-CDS@MICCAI Kimberley M. Timmins, Maarten J. Kamphuis, Iris N. Vos, Birgitta K. Velthuis, Irene C. van der Schaaf, Hugo J. Kuijf
2022	J	`jnl`	Future Unruptured Intracranial Aneurysm Growth Prediction using Mesh Convolutional Neural Networks. CoRR Kimberley M. Timmins, Maarten J. Kamphuis, Iris N. Vos, Birgitta K. Velthuis, Irene C. van der Schaaf, Hugo J. Kuijf
2022	—	`conf`	Generalized Probabilistic U-Net for Medical Image Segementation. UNSURE@MICCAI Ishaan Bhat, Josien P. W. Pluim, Hugo J. Kuijf
2022	J	`jnl`	Generalized Probabilistic U-Net for medical image segementation. CoRR Ishaan Bhat, Josien P. W. Pluim, Hugo J. Kuijf
2022	B	`conf`	Improving automated intracranial artery labeling using atlas-based features in graph convolutional nets. Image Processing Iris N. Vos, Ynte M. Ruigrok, Kimberley M. Timmins, Birgitta K. Velthuis, Hugo J. Kuijf
2022	J	`jnl`	Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection. CoRR Ishaan Bhat, Josien P. W. Pluim, Max A. Viergever, Hugo J. Kuijf
2022	J	`jnl`	Progressive GANomaly: Anomaly detection with progressively growing GANs. CoRR Djennifer K. Madzia-Madzou, Hugo J. Kuijf
2022	B	`conf`	Progressive GANomaly: anomaly detection with progressively growing GANs. Image Processing Djennifer K. Madzia-Madzou, Hugo J. Kuijf
2022	J	`jnl`	Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. CoRR Carole H. Sudre, Kimberlin M. H. van Wijnen, Florian Dubost, Hieab Adams, David Atkinson, Frederik Barkhof, Mahlet A. Birhanu, Esther E. Bron, Robin Camarasa, Nish Chaturvedi, Yuan Chen, Zihao Chen, Shuai Chen, Qi Dou, Tavia E. Evans, Ivan Ezhov, Haojun Gao, Marta Gironés-Sangüesa, Juan Domingo Gispert, Beatriz Gomez Anson, Alun D. Hughes, Mohammad Arfan Ikram, Silvia Ingala, Hans Rolf Jäger, Florian Kofler, Hugo J. Kuijf, Denis Kutnar, Minho Lee, Bo Li, Luigi Lorenzini, Bjoern H. Menze, José Luis Molinuevo, Yiwei Pan, Élodie Puybareau, Rafael Rehwald, Ruisheng Su, Pengcheng Shi, Lorna Smith, Therese Tillin, Guillaume Tochon, Hélène Urien, Bas H. M. van der Velden, Isabelle F. van der Velpen, Benedikt Wiestler, Frank J. Wolters, Pinar Yilmaz, Marius de Groot, Meike W. Vernooij, Marleen de Bruijne
2021	J	`jnl`	Automatic Cerebral Vessel Extraction in TOF-MRA Using Deep Learning. CoRR V. de Vos, Kimberley M. Timmins, Irene C. van der Schaaf, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf
2021	B	`conf`	Automatic cerebral vessel extraction in TOF-MRA using deep learning. Image Processing V. de Vos, Kimberley M. Timmins, Irene C. van der Schaaf, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf
2021	J	`jnl`	Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. NeuroImage Kimberley M. Timmins, Irene C. van der Schaaf, Edwin Bennink, Ynte M. Ruigrok, Xingle An, Michael Baumgartner, Pascal Bourdon, Riccardo de Feo, Tommaso Di Noto, Florian Dubost, Augusto Fava-Sanches, Xue Feng, Corentin Giroud, Inteneural Group, Minghui Hu, Paul F. Jaeger, Juhana Kaiponen, Michal Klimont, Yuexiang Li, Hongwei Li, Yi Lin, Timo Loehr, Jun Ma, Klaus H. Maier-Hein, Guillaume Marie, Bjoern H. Menze, Jonas Richiardi, Saifeddine Rjiba, Dhaval Shah, Suprosanna Shit, Jussi Tohka, Thierry Urruty, Urszula Walinska, Xiaoping Yang, Yunqiao Yang, Yin Yin, Birgitta K. Velthuis, Hugo J. Kuijf
2021	J	`jnl`	Explainable artificial intelligence (XAI) in deep learning-based medical image analysis. CoRR Bas H. M. van der Velden, Hugo J. Kuijf, Kenneth G. A. Gilhuijs, Max A. Viergever
2021	—	`conf`	Extending Probabilistic U-Net Using MC-Dropout to Quantify Data and Model Uncertainty. BrainLes@MICCAI (2) Ishaan Bhat, Hugo J. Kuijf
2021	J	`jnl`	MixLacune: Segmentation of lacunes of presumed vascular origin. CoRR Denis Kutnar, Bas H. M. van der Velden, Marta Gironés-Sangüesa, Mirjam I. Geerlings, J. Matthijs Biesbroek, Hugo J. Kuijf
2021	J	`jnl`	MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds. CoRR Marta Gironés-Sangüesa, Denis Kutnar, Bas H. M. van der Velden, Hugo J. Kuijf
2021	J	`jnl`	MixMicrobleedNet: segmentation of cerebral microbleeds using nnU-Net. CoRR Hugo J. Kuijf
2021	J	`jnl`	Subvoxel vessel wall thickness measurements of the intracranial arteries using a convolutional neural network. Medical Image Anal. Kees M. van Hespen, Jaco J. M. Zwanenburg, Jeroen Hendrikse, Hugo J. Kuijf
2021	—	`conf`	Using Uncertainty Estimation To Reduce False Positives In Liver Lesion Detection. ISBI Ishaan Bhat, Hugo J. Kuijf, Veronika Cheplygina, Josien P. W. Pluim
2021	J	`jnl`	Using uncertainty estimation to reduce false positives in liver lesion detection. CoRR Ishaan Bhat, Hugo J. Kuijf, Veronika Cheplygina, Josien P. W. Pluim
2021	J	`jnl`	Variational Autoencoders with a Structural Similarity Loss in Time of Flight MRAs. CoRR Kimberley M. Timmins, Irene C. van der Schaaf, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf
2021	B	`conf`	Variational autoencoders with a structural similarity loss in time of flight MRAs. Image Processing Kimberley M. Timmins, Irene C. van der Schaaf, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf
2020	J	`jnl`	ExploreASL: An image processing pipeline for multi-center ASL perfusion MRI studies. NeuroImage Henk J. M. M. Mutsaerts, Jan Petr, Paul F. C. Groot, Pieter Vandemaele, Silvia Ingala, Andrew D. Robertson, Lena Václavu, Inge R. Groote, Hugo J. Kuijf, Fernando O. Zelaya, Owen G. O'Daly, Saima Hilal, Alle Meije Wink, Ilse M. J. Kant, Matthan W. A. Caan, Catherine Morgan, Jeroen de Bresser, Elisabeth Lysvik, Frederik Barkhof
2019	—	`ed.`	Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I BrainLes@MICCAI (1) Alessandro Crimi, Spyridon Bakas, Hugo J. Kuijf, Farahani Keyvan, Mauricio Reyes, Theo van Walsum
2019	—	`ed.`	Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part II BrainLes@MICCAI (2) Alessandro Crimi, Spyridon Bakas, Hugo J. Kuijf, Farahani Keyvan, Mauricio Reyes, Theo van Walsum
2019	J	`jnl`	Liver segmentation and metastases detection in MR images using convolutional neural networks. CoRR Mariëlle J. A. Jansen, Hugo J. Kuijf, Maarten Niekel, Wouter B. Veldhuis, Frank J. Wessels, Max A. Viergever, Josien P. W. Pluim
2019	B	`conf`	Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation. Image Processing Mariëlle J. A. Jansen, Hugo J. Kuijf, Josien P. W. Pluim
2019	J	`jnl`	Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation. CoRR Mariëlle J. A. Jansen, Hugo J. Kuijf, Josien P. W. Pluim
2019	—	`conf`	Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing. Computer-Aided Diagnosis Bas H. M. van der Velden, Bob D. de Vos, Claudette E. Loo, Hugo J. Kuijf, Ivana Isgum, Kenneth G. A. Gilhuijs
2019	J	`jnl`	Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR 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 Li Hsian Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels
2019	J	`jnl`	Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 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 Li Hsian 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
2019	B	`conf`	Subvoxel vessel wall thickness measurements from vessel wall MR images. Image Processing Kees M. van Hespen, Jaco J. M. Zwanenburg, Jeroen Hendrikse, Hugo J. Kuijf
2018	—	`conf`	Automatic classification of focal liver lesions based on clinical DCE-MR and T2-weighted images: A feasibility study. ISBI Mariëlle J. A. Jansen, Hugo J. Kuijf, Josien P. W. Pluim
2018	—	`ed.`	Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Revised Selected Papers BrainLes@MICCAI Alessandro Crimi, Spyridon Bakas, Hugo J. Kuijf, Bjoern H. Menze, Mauricio Reyes
2018	J	`jnl`	Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing. CoRR Bas H. M. van der Velden, Bob D. de Vos, Claudette E. Loo, Hugo J. Kuijf, Ivana Isgum, Kenneth G. A. Gilhuijs
2016	—	`conf`	Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers. MICCAI (2) Renata G. Raidou, Hugo J. Kuijf, Neda Sepasian, Nicola Pezzotti, Willem H. Bouvy, Marcel Breeuwer, Anna Vilanova
2016	J	`jnl`	Erratum to "Subfields of the hippocampal formation at 7T MRI: In vivo volumetric assessment" [NeuroImage 61 (2012) 1043-1049]. NeuroImage Laura E. M. Wisse, L. Gerritsen, Jaco J. M. Zwanenburg, Hugo J. Kuijf, Peter R. Luijten, Geert Jan Biessels, Mirjam I. Geerlings
2016	B	`conf`	Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities. Image Processing Hugo J. Kuijf, Pim Moeskops, Bob D. de Vos, Willem H. Bouvy, Jeroen de Bresser, Geert Jan Biessels, Max A. Viergever, Koen L. Vincken
2015	B	`conf`	Automated detection of periventricular veins on 7 T brain MRI. Image Processing Hugo J. Kuijf, Willem H. Bouvy, Jaco J. M. Zwanenburg, Max A. Viergever, Geert Jan Biessels, Koen L. Vincken
2015	J	`jnl`	MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans. Comput. Intell. Neurosci. 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
2014	J	`jnl`	Automatic Extraction of the Midsagittal Surface from Brain MR Images using the Kullback-Leibler Measure. Neuroinformatics Hugo J. Kuijf, Susanne J. van Veluw, Mirjam I. Geerlings, Max A. Viergever, Geert Jan Biessels, Koen L. Vincken
2013	—	`conf`	Registration of Brain CT Images to an MRI Template for the Purpose of Lesion-Symptom Mapping. MBIA Hugo J. Kuijf, J. Matthijs Biesbroek, Max A. Viergever, Geert Jan Biessels, Koen L. Vincken
2012	—	`conf`	Automatic Extraction of the Curved Midsagittal Brain Surface on MR Images. MCV Hugo J. Kuijf, Max A. Viergever, Koen L. Vincken
2012	J	`jnl`	Efficient detection of cerebral microbleeds on 7.0 T MR images using the radial symmetry transform. NeuroImage Hugo J. Kuijf, Jeroen de Bresser, Mirjam I. Geerlings, Mandy M. A. Conijn, Max A. Viergever, Geert Jan Biessels, Koen L. Vincken
2012	J	`jnl`	Subfields of the hippocampal formation at 7 T MRI: In vivo volumetric assessment. NeuroImage Laura E. M. Wisse, L. Gerritsen, Jaco J. M. Zwanenburg, Hugo J. Kuijf, Peter R. Luijten, Geert Jan Biessels, Mirjam I. Geerlings
2011	—	`conf`	Detecting cerebral microbleeds in 7.0 T MR images using the radial symmetry transform. ISBI Hugo J. Kuijf, Jeroen de Bresser, Geert Jan Biessels, Max A. Viergever, Koen L. Vincken