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» Recovering Estimates of Fluid Flow from Image Sequence Data
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MICCAI
2004
Springer
14 years 8 months ago
Geometric Flows for Segmenting Vasculature in MRI: Theory and Validation
Abstract. Often in neurosurgical planning a dual spin echo acquisition is performed that yields proton density (PD) and T2-weighted images to evaluate edema near a tumor or lesion....
Maxime Descoteaux, D. Louis Collins, Kaleem Siddiq...
AI
1999
Springer
13 years 7 months ago
Understanding Mechanical Motion: From Images to Behaviors
We present an algorithm for producing behavior descriptions of planar fixed axes mechanical motions from image sequences using a formal behavior language. The language, which cove...
Tzachi Dar, Leo Joskowicz, Ehud Rivlin
ISBI
2008
IEEE
14 years 8 months ago
Sift-based sequence registration and flow-based cortical vessel segmentation applied to high resolution optical imaging data
Several functional and biomedical imaging techniques rely on determining hemodynamic variables and their changes in large vascular networks. To do so at micro-vascular resolution ...
Ivo Vanzetta, Mickaël Péchaud, Renaud ...
ECCV
2000
Springer
14 years 9 months ago
Regularised Range Flow
Extending a differential total least squares method for range flow estimation we present an iterative regularisation approach to compute dense range flow fields. We demonstrate how...
Bernd Jähne, Hagen Spies, John L. Barron
ICCV
2003
IEEE
14 years 9 months ago
Controlling Model Complexity in Flow Estimation
This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitabl...
Zoran Duric, Fayin Li, Harry Wechsler, Vladimir Ch...