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ORCIDHugo J. Kuijf
Hugo Jaco Kuijf
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- affiliation: University Medical Center Utrecht, The Netherlands
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2020 – today
- 2024
[j13]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:
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. Medical Image Anal. 91: 103029 (2024)- [i19]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:
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024) - 2023
- [j12]Kimberley M. Timmins, Irene C. van der Schaaf, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf:
Geometric Deep Learning Using Vascular Surface Meshes for Modality-Independent Unruptured Intracranial Aneurysm Detection. IEEE Trans. Medical Imaging 42(11): 3451-3460 (2023) - [c24]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c23]Iris N. Vos, Ishaan Bhat, Birgitta K. Velthuis, Ynte M. Ruigrok, Hugo J. Kuijf:
Calibration techniques for node classification using graph neural networks on medical image data. MIDL 2023: 1211-1224 - [c22]Giulia de Donno, Kimberley M. Timmins, Hugo J. Kuijf:
Assessment of cerebral vascular abnormality quantification technique to aid aneurysm localization. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [i18]Ishaan Bhat, Josien P. W. Pluim, Max A. Viergever, Hugo J. Kuijf:
Effect of latent space distribution on the segmentation of images with multiple annotations. CoRR abs/2304.13476 (2023) - [i17]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.:
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. CoRR abs/2312.17670 (2023) - 2022
- [j11]Bas H. M. van der Velden, Hugo J. Kuijf, Kenneth G. A. Gilhuijs, Max A. Viergever:
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis. Medical Image Anal. 79: 102470 (2022) - [j10]Kees M. van Hespen, Hugo J. Kuijf, Jeroen Hendrikse, Peter R. Luijten, Jaco J. M. Zwanenburg:
Blood Flow Velocity Pulsatility and Arterial Diameter Pulsatility Measurements of the Intracranial Arteries Using 4D PC-MRI. Neuroinformatics 20(2): 317-326 (2022) - [c21]Kimberley M. Timmins, Irene C. van der Schaaf, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf:
Deep learning with vessel surface meshes for intracranial aneurysm detection. Medical Imaging: Computer-Aided Diagnosis 2022 - [c20]Kimberley M. Timmins, Maarten J. Kamphuis, Iris N. Vos, Birgitta K. Velthuis, Irene C. van der Schaaf, Hugo J. Kuijf:
Future Unruptured Intracranial Aneurysm Growth Prediction Using Mesh Convolutional Neural Networks. EPIMI/ML-CDS@MICCAI 2022: 103-112 - [c19]Ishaan Bhat, Josien P. W. Pluim, Hugo J. Kuijf:
Generalized Probabilistic U-Net for Medical Image Segementation. UNSURE@MICCAI 2022: 113-124 - [c18]Djennifer K. Madzia-Madzou, Hugo J. Kuijf:
Progressive GANomaly: anomaly detection with progressively growing GANs. Medical Imaging: Image Processing 2022 - [c17]Iris N. Vos, Ynte M. Ruigrok, Kimberley M. Timmins, Birgitta K. Velthuis, Hugo J. Kuijf:
Improving automated intracranial artery labeling using atlas-based features in graph convolutional nets. Medical Imaging: Image Processing 2022 - [c16]Iris N. Vos, Maud E. H. Ophelders, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf:
Assessment of manual and automated intracranial artery diameter measurements. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - [i16]Djennifer K. Madzia-Madzou, Hugo J. Kuijf:
Progressive GANomaly: Anomaly detection with progressively growing GANs. CoRR abs/2206.03876 (2022) - [i15]Ishaan Bhat, Josien P. W. Pluim, Max A. Viergever, Hugo J. Kuijf:
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection. CoRR abs/2206.10911 (2022) - [i14]Ishaan Bhat, Josien P. W. Pluim, Hugo J. Kuijf:
Generalized Probabilistic U-Net for medical image segementation. CoRR abs/2207.12872 (2022) - [i13]Kimberley M. Timmins, Maarten J. Kamphuis, Iris N. Vos, Birgitta K. Velthuis, Irene C. van der Schaaf, Hugo J. Kuijf:
Future Unruptured Intracranial Aneurysm Growth Prediction using Mesh Convolutional Neural Networks. CoRR abs/2207.13518 (2022) - [i12]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:
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. CoRR abs/2208.07167 (2022) - 2021
- [j9]Kees M. van Hespen, Jaco J. M. Zwanenburg, Jeroen Hendrikse, Hugo J. Kuijf:
Subvoxel vessel wall thickness measurements of the intracranial arteries using a convolutional neural network. Medical Image Anal. 67: 101818 (2021) - [j8]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:
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. NeuroImage 238: 118216 (2021) - [c15]Ishaan Bhat, Hugo J. Kuijf:
Extending Probabilistic U-Net Using MC-Dropout to Quantify Data and Model Uncertainty. BrainLes@MICCAI (2) 2021: 555-559 - [c14]Ishaan Bhat, Hugo J. Kuijf, Veronika Cheplygina, Josien P. W. Pluim:
Using Uncertainty Estimation To Reduce False Positives In Liver Lesion Detection. ISBI 2021: 663-667 - [c13]Kimberley M. Timmins, Irene C. van der Schaaf, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf:
Variational autoencoders with a structural similarity loss in time of flight MRAs. Medical Imaging: Image Processing 2021 - [c12]V. de Vos, Kimberley M. Timmins, Irene C. van der Schaaf, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf:
Automatic cerebral vessel extraction in TOF-MRA using deep learning. Medical Imaging: Image Processing 2021 - [i11]Ishaan Bhat, Hugo J. Kuijf, Veronika Cheplygina, Josien P. W. Pluim:
Using uncertainty estimation to reduce false positives in liver lesion detection. CoRR abs/2101.04386 (2021) - [i10]Kimberley M. Timmins, Irene C. van der Schaaf, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf:
Variational Autoencoders with a Structural Similarity Loss in Time of Flight MRAs. CoRR abs/2101.08052 (2021) - [i9]V. de Vos, Kimberley M. Timmins, Irene C. van der Schaaf, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf:
Automatic Cerebral Vessel Extraction in TOF-MRA Using Deep Learning. CoRR abs/2101.09253 (2021) - [i8]Bas H. M. van der Velden, Hugo J. Kuijf, Kenneth G. A. Gilhuijs, Max A. Viergever:
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis. CoRR abs/2107.10912 (2021) - [i7]Hugo J. Kuijf:
MixMicrobleedNet: segmentation of cerebral microbleeds using nnU-Net. CoRR abs/2108.01389 (2021) - [i6]Marta Gironés-Sangüesa, Denis Kutnar, Bas H. M. van der Velden, Hugo J. Kuijf:
MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds. CoRR abs/2108.02482 (2021) - [i5]Denis Kutnar, Bas H. M. van der Velden, Marta Gironés-Sangüesa, Mirjam I. Geerlings, J. Matthijs Biesbroek, Hugo J. Kuijf:
MixLacune: Segmentation of lacunes of presumed vascular origin. CoRR abs/2108.02483 (2021) - 2020
- [j7]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:
ExploreASL: An image processing pipeline for multi-center ASL perfusion MRI studies. NeuroImage 219: 117031 (2020)
2010 – 2019
- 2019
- [j6]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) - [c11]Bas H. M. van der Velden, Bob D. de Vos, Claudette E. Loo, Hugo J. Kuijf, Ivana Isgum, Kenneth G. A. Gilhuijs:
Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing. Medical Imaging: Computer-Aided Diagnosis 2019: 109500D - [c10]Kees M. van Hespen, Jaco J. M. Zwanenburg, Jeroen Hendrikse, Hugo J. Kuijf:
Subvoxel vessel wall thickness measurements from vessel wall MR images. Medical Imaging: Image Processing 2019: 109491Z - [c9]Mariëlle J. A. Jansen, Hugo J. Kuijf, Josien P. W. Pluim:
Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation. Medical Imaging: Image Processing 2019: 109491V - [e3]Alessandro Crimi, Spyridon Bakas, Hugo J. Kuijf, Farahani Keyvan, Mauricio Reyes, Theo van Walsum:
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. Lecture Notes in Computer Science 11383, Springer 2019, ISBN 978-3-030-11722-1 [contents] - [e2]Alessandro Crimi, Spyridon Bakas, Hugo J. Kuijf, Farahani Keyvan, Mauricio Reyes, Theo van Walsum:
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. Lecture Notes in Computer Science 11384, Springer 2019, ISBN 978-3-030-11725-2 [contents] - [i4]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) - [i3]Mariëlle J. A. Jansen, Hugo J. Kuijf, Josien P. W. Pluim:
Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation. CoRR abs/1908.08251 (2019) - [i2]Mariëlle J. A. Jansen, Hugo J. Kuijf, Maarten Niekel, Wouter B. Veldhuis, Frank J. Wessels, Max A. Viergever, Josien P. W. Pluim:
Liver segmentation and metastases detection in MR images using convolutional neural networks. CoRR abs/1910.06635 (2019) - 2018
- [c8]Mariëlle J. A. Jansen, Hugo J. Kuijf, Josien P. W. Pluim:
Automatic classification of focal liver lesions based on clinical DCE-MR and T2-weighted images: A feasibility study. ISBI 2018: 245-248 - [e1]Alessandro Crimi, Spyridon Bakas, Hugo J. Kuijf, Bjoern H. Menze, Mauricio Reyes:
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. Lecture Notes in Computer Science 10670, Springer 2018, ISBN 978-3-319-75237-2 [contents] - [i1]Bas H. M. van der Velden, Bob D. de Vos, Claudette E. Loo, Hugo J. Kuijf, Ivana Isgum, Kenneth G. A. Gilhuijs:
Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing. CoRR abs/1811.09063 (2018) - 2016
- [j5]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) - [c7]Renata G. Raidou, Hugo J. Kuijf, Neda Sepasian, Nicola Pezzotti, Willem H. Bouvy, Marcel Breeuwer, Anna Vilanova:
Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers. MICCAI (2) 2016: 97-105 - [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
- [j4]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) - [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
- [j3]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) - 2013
- [c4]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 - [c3]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
- [j2]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) - [j1]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) - [c2]Hugo J. Kuijf, Max A. Viergever, Koen L. Vincken:
Automatic Extraction of the Curved Midsagittal Brain Surface on MR Images. MCV 2012: 225-232 - 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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last updated on 2024-10-07 22:19 CEST by the dblp team
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