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Research ArticleAdult Brain
Open Access

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 August 2022, 43 (8) 1107-1114; 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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  • ORCID record for H. van Voorst
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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  • ORCID record for L.M. van Poppel
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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American Journal of Neuroradiology: 43 (8)
American Journal of Neuroradiology
Vol. 43, Issue 8
1 Aug 2022
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Unsupervised Deep Learning for Stroke Lesion Segmentation on Follow-up CT Based on Generative Adversarial Networks
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Cite this article
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
Unsupervised Deep Learning for Stroke Lesion Segmentation on Follow-up CT Based on Generative Adversarial Networks
American Journal of Neuroradiology Aug 2022, 43 (8) 1107-1114; DOI: 10.3174/ajnr.A7582

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Unsupervised DL for Stroke Lesion Segmentation
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
American Journal of Neuroradiology Aug 2022, 43 (8) 1107-1114; DOI: 10.3174/ajnr.A7582
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