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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. Med. Imaging, 38 (11): 2556-2568 (2019)

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D. Marino

Louis Gagnon University of Stuttgart

D. Roth

D. Inkermann

D. Roth

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On the Classification of Temporal Lobe Epilepsy Using MR Image Appearance.S. Duchesne, N. Bernasconi, A. Bernasconi, and D. Collins. ICPR (1), page 520-523. IEEE Computer Society, (2002)MRI-Based Automated Computer Classification of Probable AD Versus Normal Controls.S. Duchesne, A. Caroli, C. Geroldi, C. Barillot, G. Frisoni, and D. Collins. IEEE Trans. Med. Imaging, 27 (4): 509-520 (2008)Retrospective Evaluation of Inter-subject Brain Registration.P. Hellier, C. Barillot, I. Corouge, B. Gibaud, G. Goualher, D. Collins, A. Evans, G. Malandain, N. Ayache, G. Christensen and 1 other author(s). IEEE Trans. Med. Imaging, 22 (9): 1120-1130 (2003)Patch-based label fusion segmentation of brainstem structures with dual-contrast MRI for Parkinson's disease.Y. Xiao, V. Fonov, S. Bériault, I. Gerard, A. Sadikot, G. Pike, and D. Collins. Int. J. Comput. Assist. Radiol. Surg., 10 (7): 1029-1041 (2015)Ultrasound-CT registration of vertebrae without reconstruction.C. Yan, B. Goulet, D. Tampieri, and D. Collins. Int. J. Comput. Assist. Radiol. Surg., 7 (6): 901-909 (2012)A multi-modal approach to computer-assisted deep brain stimulation trajectory planning.S. Bériault, F. Subaie, D. Collins, A. Sadikot, and G. Pike. Int. J. Comput. Assist. Radiol. Surg., 7 (5): 687-704 (2012)MINC 2.0: A Flexible Format for Multi-Modal Images.R. Vincent, P. Neelin, N. Khalili-Mahani, A. Janke, V. Fonov, S. Robbins, L. Baghdadi, J. Lerch, J. Sled, R. Adalat and 4 other author(s). Front. Neuroinform., (2016)Automatic Non-linear MRI-Ultrasound Registration for the Correction of Intra-operative Brain Deformations.T. Arbel, X. Morandi, R. Comeau, and D. Collins. MICCAI, volume 2208 of Lecture Notes in Computer Science, page 913-922. Springer, (2001)Bayesian Classification of Multiple Sclerosis Lesions in Longitudinal MRI Using Subtraction Images.C. Elliott, S. Francis, D. Arnold, D. Collins, and T. Arbel. MICCAI (2), volume 6362 of Lecture Notes in Computer Science, page 290-297. Springer, (2010)Towards Automatic Collateral Circulation Score Evaluation in Ischemic Stroke Using Image Decompositions and Support Vector Machines.Y. Xiao, A. Alamer, V. Fonov, B. Lo, D. Tampieri, D. Collins, H. Rivaz, and M. Kersten-Oertel. CMMI/RAMBO/SWITCH@MICCAI, volume 10555 of Lecture Notes in Computer Science, page 158-167. Springer, (2017)

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Disambiguation of "Collins, D. Louis"

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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

D. Marino

Louis Gagnon University of Stuttgart

D. Roth

D. Inkermann

D. Roth

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Collins, D. Louis"

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

D. Marino

Louis Gagnon University of Stuttgart

D. Roth

D. Inkermann

D. Roth

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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Chicago
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Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.