Dipòsit Digital de Documents de la UAB 3 registres trobats  La cerca s'ha fet en 0.04 segons. 
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8 p, 2.3 MB Automated quantification of cerebral edema following hemispheric infarction : Application of a machine-learning algorithm to evaluate CSF shifts on serial head CTs / Chen, Yasheng (Department of Neurology, Washington University, St. Louis, MO 63110, USA) ; Dhar, Rajat (Department of Neurology, Washington University, St. Louis, MO 63110, USA) ; Heitsch, Laura (Emergency Medicine, Washington University, St. Louis, MO 63110, USA) ; Ford, Andria (Department of Neurology, Washington University, St. Louis, MO 63110, USA) ; Fernandez-Cadenas, Israel (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Carrera, Caty (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Montaner, Joan (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Lin, Weili (Dept. of Radiology, University of North Carolina, Chapel Hill, NC 27599, USA) ; Shen, Dinggang (Department of Brain and Cognitive Engineering, Korea University, Seoul 02841, Republic of Korea) ; An, Hongyu (Radiology, Washington University, St. Louis, MO 63110, USA) ; Lee, Jin-Moo (Biomedical Engineering, Washington University, St. Louis, MO 63110, USA) ; Universitat Autònoma de Barcelona
Although cerebral edema is a major cause of death and deterioration following hemispheric stroke, there remains no validated biomarker that captures the full spectrum of this critical complication. We recently demonstrated that reduction in intracranial cerebrospinal fluid (CSF) volume (∆ CSF) on serial computed tomography (CT) scans provides an accurate measure of cerebral edema severity, which may aid in early triaging of stroke patients for craniectomy. [...]
2016 - 10.1016/j.nicl.2016.09.018
NeuroImage, Vol. 12 (september 2016) , p. 673-680  
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13 p, 1.4 MB Fast Region-based Active Contour Model Driven by Local Signed Pressure Force / Azizi, Abdallah (University of Biskra (Algèria)) ; Elkourd, Kaouther (Preparatory School for Science & Techniques. Department of Physics (Algiers, Algèria))
Intensity inhomogeneity is a well-known problem in image segmentation. In this paper, we present a new region-based active contour model for image segmentation which can handle intensity inhomogeneity problem. [...]
2016 - 10.5565/rev/elcvia.794
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 núm. 1 (2016) , p. 1-13 (Regular Issue)  
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16 p, 421.9 KB SnakeCut : an Integrated Approach Based on Active Contour and GrabCut for Automatic Foreground Object Segmentation / Prakash, Surya (Indian Institute of Technology Madras. Department of Computer Science and Engineering) ; Abhilash, R. (Indian Institute of Technology Madras. Department of Computer Science and Engineering) ; Das, Sukhendu (Indian Institute of Technology Madras. Department of Computer Science and Engineering)
Interactive techniques for extracting the foreground object from an image have been the interest of research in computer vision for a long time. This paper addresses the problem of an efficient, semi-interactive extraction of a foreground object from an image. [...]
2007 - 10.5565/rev/elcvia.139
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 6 n. 3 (2007) p. 13-28  

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