Unsupervised Deep Learning for Stroke Lesion Segmentation on Follow-up CT Based on Generative Adversarial Networks

H. van Voorst; P.R. Konduri; L.M. van Poppel; W. van der Steen; P.M. van der Sluijs; E.M.H. Slot; B.J. Emmer; W.H. van Zwam; Y.B.W.E.M. Roos; C.B.L.M. Majoie; G. Zaharchuk; M.W.A. Caan; H.A. Marquering

doi:10.3174/ajnr.A7582

Research ArticleAdult Brain

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Unsupervised Deep Learning for Stroke Lesion Segmentation on Follow-up CT Based on Generative Adversarial Networks

H. van Voorst, P.R. Konduri, L.M. van Poppel, W. van der Steen, P.M. van der Sluijs, E.M.H. Slot, B.J. Emmer, W.H. van Zwam, Y.B.W.E.M. Roos, C.B.L.M. Majoie, G. Zaharchuk, M.W.A. Caan and H.A. Marquering on behalf of the CONTRAST Consortium Collaborators

American Journal of Neuroradiology July 2022, DOI: https://doi.org/10.3174/ajnr.A7582

H. van Voorst

aFrom the Departments of Radiology and Nuclear Medicine (H.v.V., P.R.K., L.M.v.P., B.J.E., C.B.L.M.M., H.A.M.)

bBiomedical Engineering and Physics (H.v.V., P.R.K., L.M.v.P., M.W.A.C., H.A.M.)

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P.R. Konduri

aFrom the Departments of Radiology and Nuclear Medicine (H.v.V., P.R.K., L.M.v.P., B.J.E., C.B.L.M.M., H.A.M.)

bBiomedical Engineering and Physics (H.v.V., P.R.K., L.M.v.P., M.W.A.C., H.A.M.)

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L.M. van Poppel

aFrom the Departments of Radiology and Nuclear Medicine (H.v.V., P.R.K., L.M.v.P., B.J.E., C.B.L.M.M., H.A.M.)

bBiomedical Engineering and Physics (H.v.V., P.R.K., L.M.v.P., M.W.A.C., H.A.M.)

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W. van der Steen

dDepartments of Neurology (W.v.d.S., P.M.v.d.S.)

eRadiology and Nuclear Medicine (W.v.d.S., P.M.v.d.S.), Erasmus University Medical Center, Rotterdam, the Netherlands

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P.M. van der Sluijs

dDepartments of Neurology (W.v.d.S., P.M.v.d.S.)

eRadiology and Nuclear Medicine (W.v.d.S., P.M.v.d.S.), Erasmus University Medical Center, Rotterdam, the Netherlands

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E.M.H. Slot

fDepartment of Neurology and Neurosurgery (E.M.H.S.), University Medical Center Utrecht, Utrecht, the Netherlands

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B.J. Emmer

aFrom the Departments of Radiology and Nuclear Medicine (H.v.V., P.R.K., L.M.v.P., B.J.E., C.B.L.M.M., H.A.M.)

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W.H. van Zwam

gDepartment of Radiology and Nuclear Medicine (W.H.v.Z.), Maastricht University Medical Center, Maastricht, the Netherlands

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Y.B.W.E.M. Roos

cNeurology (Y.B.W.E.M.R.), Faculty of Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands

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C.B.L.M. Majoie

aFrom the Departments of Radiology and Nuclear Medicine (H.v.V., P.R.K., L.M.v.P., B.J.E., C.B.L.M.M., H.A.M.)

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G. Zaharchuk

hDepartment of Radiology (G.Z.), Stanford University, Stanford, California

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M.W.A. Caan

bBiomedical Engineering and Physics (H.v.V., P.R.K., L.M.v.P., M.W.A.C., H.A.M.)

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H.A. Marquering

aFrom the Departments of Radiology and Nuclear Medicine (H.v.V., P.R.K., L.M.v.P., B.J.E., C.B.L.M.M., H.A.M.)

bBiomedical Engineering and Physics (H.v.V., P.R.K., L.M.v.P., M.W.A.C., H.A.M.)

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Unsupervised Deep Learning for Stroke Lesion Segmentation on Follow-up CT Based on Generative Adversarial Networks

American Journal of Neuroradiology Jul 2022, DOI: 10.3174/ajnr.A7582

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Unsupervised Deep Learning for Stroke Lesion Segmentation on Follow-up CT Based on Generative Adversarial Networks

American Journal of Neuroradiology Jul 2022, DOI: 10.3174/ajnr.A7582

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