Predicting Infarction Within the Diffusion-Weighted Imaging Lesion

Author:

Carrera Emmanuel1,Jones P. Simon1,Alawneh Josef A.1,Klærke Mikkelsen Irene1,Cho Tae-Hee1,Siemonsen Suzanne1,Guadagno Joseph V.1,Mouridsen Kim1,Ribe Lars1,Hjort Niels1,Fryer Tim D.1,Carpenter T. Adrian1,Aigbirhio Franklin I.1,Fiehler Jens1,Nighoghossian Norbert1,Warburton Elizabeth A.1,Ostergaard Leif1,Baron Jean-Claude1

Affiliation:

1. From the Department Clinical Neurosciences (E.C., P.S.J., J.A., J.V.G., E.A.W., J.C.B.), Cambridge University, Cambridge, UK; CFIN (I.K.-M., K.M., L.R., N.H., L.O.), Aarhus University, Aarhus, Denmark; Hopital Neurologique (T.H.C., N.N.), Creatis UMR 5515-Inserm U630, Lyon, France; the Neuroradiology Department (S.S., J.F.), University Medical Center, Hamburg, Germany; Wolfson Brain Imaging Centre (T.D.F., T.A.C., F.I.A.), Cambridge University, Cambridge, UK; and INSERM U894 (J.C.B.), Paris, France.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialised Nursing,Cardiology and Cardiovascular Medicine,Clinical Neurology

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