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MICCAI
2004
Springer
14 years 8 months ago
Adaptive Segmentation of Multi-modal 3D Data Using Robust Level Set Techniques
Abstract. A new 3D segmentation method based on the level set technique is proposed. The main contribution is a robust evolutionary model which requires no fine tuning of parameter...
Aly A. Farag, Hossam S. Hassan
NIPS
2004
13 years 9 months ago
Joint MRI Bias Removal Using Entropy Minimization Across Images
The correction of bias in magnetic resonance images is an important problem in medical image processing. Most previous approaches have used a maximum likelihood method to increase...
Erik G. Learned-Miller, Parvez Ahammad
ISBI
2011
IEEE
12 years 11 months ago
Automated lineage tree reconstruction from Caenorhabditis elegans image data using particle filtering based cell tracking
Caenorhabditis elegans is an important model organism for the study of molecular mechanisms of development and disease processes, due to its well-known genome and invariant cell l...
Noemí Carranza-Herrezuelo, Ihor Smal, Oleh ...
MICCAI
2006
Springer
14 years 8 months ago
Spinal Crawlers: Deformable Organisms for Spinal Cord Segmentation and Analysis
Spinal cord analysis is an important problem relating to the study of various neurological diseases. We present a novel approach to spinal cord segmentation in magnetic resonance i...
Chris McIntosh, Ghassan Hamarneh
ISBI
2007
IEEE
14 years 2 months ago
Design and Calibration of a Virtual Tomographic Reflection System
Virtual Tomographic Reflection (VTR) is a new augmented reality technique that allows users to view volumetric image data using an interaction paradigm based on medical ultrasoun...
Damion Shelton, Bing Wu, Roberta L. Klatzky, Georg...