Ensemble of Convolutional Neural Networks Improves Automated Segmentation of Acute Ischemic Lesions Using Multiparametric Diffusion-Weighted MRI von Winzeck, S, Mocking, S J T, Bezerra, R, Bouts, M J R J, McIntosh, E C, Diwan, I, Garg, P, Chutinet, A, Kimberly, W T, Copen, W A, Schaefer, P W, Ay, H, Singhal, A B, Kamnitsas, K, Glocker, B, Sorensen, A G, Wu, O

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Exposing hidden truncation-related errors in acute stroke perfusion imaging von Copen, W A, Deipolyi, A R, Schaefer, P W, Schwamm, L H, González, R G, Wu, O

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Combining MRI with NIHSS thresholds to predict outcome in acute ischemic stroke: value for patient selection von Schaefer, P W, Pulli, B, Copen, W A, Hirsch, J A, Leslie-Mazwi, T, Schwamm, L H, Wu, O, González, R G, Yoo, A J

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Cerebral Blood Flow Thresholds for Tissue Infarction in Patients with Acute Ischemic Stroke Treated with Intra-Arterial Revascularization Therapy Depend on Timing of Reperfusion von MUI, K, YOO, A. J, VERDUZCO, L, COPEN, W. A, HIRSCH, J. A, GONZALEZ, R. G, SCHAEFER, P. W

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Diffuse microvascular dysfunction and loss of white matter integrity predict poor outcomes in patients with acute ischemic stroke von Rost, N.S., Cougo, P., Lorenzano, S., Li, H., Cloonan, L., Bouts, M.J., Lauer, A., Etherton, M.R., Karadeli, H.H., Musolino, P.L., Copen, W.A., Arai, K., Lo, E.H., Feske, S.K., Furie, K.L., Wu, O.

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