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IPCAI
2010
15 years 8 months ago
Visualization and Planning of Neurosurgical Interventions with Straight Access
Image-guided neurosurgical interventional procedures utilize medical imaging techniques to identify the most appropriate path for accessing a targeted structure. Often, preoperativ...
Nikhil V. Navkar, Nikolaos V. Tsekos, R. Jason Sta...
MICCAI
2010
Springer
15 years 5 months ago
Cardiac Motion Estimation Using a ProActive Deformable Model: Evaluation and Sensitivity Analysis
To regularize cardiac motion recovery from medical images, electromechanical models are increasingly popular for providing a priori physiological motion information. Although these...
Ken C. L. Wong, Florence Billet, Tommaso Mansi, Ra...
MICCAI
2010
Springer
15 years 5 months ago
Agreement-Based Semi-supervised Learning for Skull Stripping
Abstract. Learning-based approaches have become increasingly practical in medical imaging. For a supervised learning strategy, the quality of the trained algorithm (usually a class...
Juan Eugenio Iglesias, Cheng-Yi Liu, Paul M. Thomp...
HISB
2011
111views more  HISB 2011»
14 years 6 months ago
Spinal Cord Segmentation for Volume Estimation in Healthy and Multiple Sclerosis Subjects Using Crawlers and Minimal Paths
—Spinal cord analysis is an important problem in the study of various neurological diseases. Current segmentation and analysis methods in clinical use are slow and laborintensive...
Chris McIntosh, Ghassan Hamarneh, Matthew Toom, Ro...
MICCAI
2008
Springer
16 years 7 months ago
MR Brain Tissue Classification Using an Edge-Preserving Spatially Variant Bayesian Mixture Model
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. ...