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Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks.

R. Helland, A. Ferles, A. Pedersen, I. Kommers, H. Ardon, F. Barkhof, L. Bello, M. Berger, T. Dunås, M. Nibali, J. Furtner, S. Hervey-Jumper, A. Idema, B. Kiesel, R. Tewarie, E. Mandonnet, D. Müller, P. Robe, M. Rossi, L. Sagberg, T. Sciortino, T. Aalders, M. Wagemakers, G. Widhalm, M. Witte, A. Zwinderman, P. Majewska, A. Jakola, O. Solheim, P. de Witt Hamer, I. Reinertsen, R. Eijgelaar, and D. Bouget. CoRR, (2023)

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Frederik Knauf

Frederik Holst

Frederik Müller

Frederik Rudolph

Frederik Golks

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Corrigendum to "Combining shape and connectivity analysis: An MRI study of thalamic degeneration in Alzheimer's disease" NeuroImage 49 (2010) 1-8.M. Zarei, B. Patenaude, J. Damoiseaux, C. Morgese, S. Smith, P. Matthews, F. Barkhof, S. Rombouts, E. Sanz-Arigita, and M. Jenkinson. NeuroImage, 51 (2): 940 (2010)The European DTI Study on Dementia - A multicenter DTI and MRI study on Alzheimer's disease and Mild Cognitive Impairment.K. Brueggen, M. Grothe, M. Dyrba, A. Fellgiebel, F. Fischer, M. Filippi, F. Agosta, P. Nestor, E. Meisenzahl, J. Blautzik and 11 other author(s). NeuroImage, (2017)Challenging the cholinergic system in mild cognitive impairment: a pharmacological fMRI study.R. Goekoop, S. Rombouts, C. Jonker, A. Hibbel, D. Knol, L. Truyen, F. Barkhof, and P. Scheltens. NeuroImage, 23 (4): 1450-1459 (2004)Performance of five research-domain automated WM lesion segmentation methods in a multi-center MS study.A. de Sitter, M. Steenwijk, A. Ruet, A. Versteeg, Y. Liu, R. van Schijndel, P. Pouwels, I. Kilsdonk, K. Cover, B. van Dijk and 15 other author(s). NeuroImage, (2017)Identifying confounds to increase specificity during a "no task condition": Evidence for hippocampal connectivity using fMRI.S. Rombouts, C. Stam, J. Kuijer, P. Scheltens, and F. Barkhof. NeuroImage, 20 (2): 1236-1245 (2003)Functional brain network analysis using minimum spanning trees in Multiple Sclerosis: An MEG source-space study.P. Tewarie, A. Hillebrand, M. Schoonheim, B. van Dijk, J. Geurts, F. Barkhof, C. Polman, and C. Stam. NeuroImage, (2014)Targeted Screening for Alzheimer's Disease Clinical Trials Using Data-Driven Disease Progression Models.N. Oxtoby, C. Shand, D. Cash, D. Alexander, and F. Barkhof. Frontiers Artif. Intell., (2022)Identifying and evaluating clinical subtypes of Alzheimer's disease in care electronic health records using unsupervised machine learning.N. Alexander, D. Alexander, F. Barkhof, and S. Denaxas. BMC Medical Informatics Decis. Mak., 21 (1): 343 (2021)Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation.C. Bowles, C. Qin, C. Ledig, R. Guerrero, R. Gunn, A. Hammers, E. Sakka, D. Dickie, M. del C. Valdés Hernández, N. Royle and 8 other author(s). SASHIMI@MICCAI, volume 9968 of Lecture Notes in Computer Science, page 87-96. (2016)Imaging biomarkers for the diagnosis of Prion disease.L. Canas, B. Yvernault, C. Sudre, E. Vita, M. Cardoso, J. Thornton, F. Barkhof, S. Ourselin, S. Mead, and M. Modat. Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 1057405. SPIE, (2018)

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Disambiguation of "Barkhof, Frederik"

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Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks.

Please choose a person to relate this publication to

Frederik Knauf

Frederik Holst

Frederik Müller

Frederik Rudolph

Frederik Golks

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Barkhof, Frederik"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks.

Please choose a person to relate this publication to

Frederik Knauf

Frederik Holst

Frederik Müller

Frederik Rudolph

Frederik Golks

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
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Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks.