Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape Representations

Research article (Frontiers in Neurology, 2018) · cited 41× · AI/ML
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Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape Representations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape Representations. Retrieved October 18, 2026, from https://4ort.xyz/entity/learning-to-predict-ischemic-stroke-growth-on-acute-ct-perfusion-data-by-interpolating-low-dimensional-shape-representat
MLA “Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape Representations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/learning-to-predict-ischemic-stroke-growth-on-acute-ct-perfusion-data-by-interpolating-low-dimensional-shape-representat.
BibTeX @misc{4ortxyz_learning-to-predict-ischemic-stroke-growth-on-acute-ct-perfusion-data-by-interpolating-low-dimensional-shape-representat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape Representations}}, year = {2026}, url = {https://4ort.xyz/entity/learning-to-predict-ischemic-stroke-growth-on-acute-ct-perfusion-data-by-interpolating-low-dimensional-shape-representat}, note = {Accessed: 2026-10-18}}
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