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TIP
2008
86views more  TIP 2008»
15 years 6 months ago
Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects
We propose a principled framework for recursively segmenting deformable objects across a sequence of frames. We demonstrate the usefulness of this method on left ventricular segmen...
Walter Sun, Müjdat Çetin, Raymond C. C...
175
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JMIV
2006
166views more  JMIV 2006»
15 years 6 months ago
Fast Surface Segmentation Guided by User Input Using Implicit Extension of Minimal Paths
We introduce a novel implicit approach for single object segmentation in 3D images. The boundary surface of this object is assumed to contain two or more known curves (the constrai...
Roberto Ardon, Laurent D. Cohen, Anthony J. Yezzi
ICPR
2010
IEEE
15 years 9 months ago
The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking
This work introduces a new pattern recognition model for segmenting and tracking lip contours in video sequences. We formulate the problem as a general nonrigid object tracking me...
Gustavo Carneiro, Jacinto Nascimento
CVPR
2006
IEEE
16 years 8 months ago
Vessel Crawlers: 3D Physically-based Deformable Organisms for Vasculature Segmentation and Analysis
We present a novel approach to the segmentation and analysis of vasculature from volumetric medical image data. Our method is an adoption and significant extension of deformable o...
Chris McIntosh, Ghassan Hamarneh
ISBI
2007
IEEE
16 years 21 days ago
Automated Segmentation of the Right Heart Using an Optimized Shells and Spheres Algorithm
We have developed a novel framework for medical image analysis, known as Shells and Spheres. This framework utilizes spherical operators of variable radius centered at each image ...
Aaron Cois, Ken J. Rockot, John M. Galeotti, Rober...