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Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.

H. Kuijf, A. Casamitjana, D. Collins, M. Dadar, A. Georgiou, M. Ghafoorian, D. Jin, A. Khademi, J. Knight, H. Li, X. Lladó, J. Biesbroek, M. Luna, Q. Mahmood, R. McKinley, A. Mehrtash, S. Ourselin, B. yong Park, H. Park, S. Park, S. Pezold, É. Puybareau, J. de Bresser, L. Rittner, C. Sudre, S. Valverde, V. Vilaplana, R. Wiest, Y. Xu, Z. Xu, G. Zeng, J. Zhang, G. Zheng, R. Heinen, C. Chen, W. van der Flier, F. Barkhof, M. Viergever, G. Biessels, S. Andermatt, M. Bento, M. Berseth, M. Belyaev, and M. Cardoso. IEEE Trans. Medical Imaging, 38 (11): 2556-2568 (2019)

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Hugo J Bein

Hugo

Klaus Hugo

Erich Hugo

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Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers.R. Raidou, H. Kuijf, N. Sepasian, N. Pezzotti, W. Bouvy, M. Breeuwer, and A. Vilanova. MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 97-105. (2016)Progressive GANomaly: anomaly detection with progressively growing GANs.D. Madzia-Madzou, and H. Kuijf. Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)MixLacune: Segmentation of lacunes of presumed vascular origin.D. Kutnar, B. van der Velden, M. Gironés-Sangüesa, M. Geerlings, J. Biesbroek, and H. Kuijf. CoRR, (2021)Efficient detection of cerebral microbleeds on 7.0 T MR images using the radial symmetry transform.H. Kuijf, J. de Bresser, M. Geerlings, M. Conijn, M. Viergever, G. Biessels, and K. Vincken. NeuroImage, 59 (3): 2266-2273 (2012)ExploreASL: An image processing pipeline for multi-center ASL perfusion MRI studies.H. Mutsaerts, J. Petr, P. Groot, P. Vandemaele, S. Ingala, A. Robertson, L. Václavu, I. Groote, H. Kuijf, F. Zelaya and 9 other author(s). NeuroImage, (2020)Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities.H. Kuijf, P. Moeskops, B. de Vos, W. Bouvy, J. de Bresser, G. Biessels, M. Viergever, and K. Vincken. Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 978421. SPIE, (2016)Explainable artificial intelligence (XAI) in deep learning-based medical image analysis.B. van der Velden, H. Kuijf, K. Gilhuijs, and M. Viergever. Medical Image Anal., (2022)Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.H. Kuijf, J. Biesbroek, J. de Bresser, R. Heinen, S. Andermatt, M. Bento, M. Berseth, M. Belyaev, M. Cardoso, A. Casamitjana and 34 other author(s). CoRR, (2019)Detecting cerebral microbleeds in 7.0 T MR images using the radial symmetry transform.H. Kuijf, J. de Bresser, G. Biessels, M. Viergever, and K. Vincken. ISBI, page 758-761. IEEE, (2011)Future Unruptured Intracranial Aneurysm Growth Prediction Using Mesh Convolutional Neural Networks.K. Timmins, M. Kamphuis, I. Vos, B. Velthuis, I. van der Schaaf, and H. Kuijf. EPIMI/ML-CDS@MICCAI, volume 13755 of Lecture Notes in Computer Science, page 103-112. Springer, (2022)

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Disambiguation of "Kuijf, Hugo J."

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Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.

Please choose a person to relate this publication to

Hugo J Bein

Hugo

Hugo

Klaus Hugo

Erich Hugo

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kuijf, Hugo J."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.

Please choose a person to relate this publication to

Hugo J Bein

Hugo

Hugo

Klaus Hugo

Erich Hugo

Other publications of authors with the same name

Disambiguation

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DOI
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Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.