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» Problem Solving Environment for Medical Image Analysis
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TITB
2008
124views more  TITB 2008»
13 years 7 months ago
Miniature in vivo Robots for Remote and Harsh Environments
Abstract--Long-term human space exploration will require contingencies for emergency medical procedures including some capability to perform surgery. The ability to perform minimal...
Mark Rentschler, Stephen R. Platt, Kyle R. Berg, J...
ISBI
2009
IEEE
14 years 2 months ago
Fast Algorithms for Nonconvex Compressive Sensing: MRI Reconstruction from Very Few Data
Compressive sensing is the reconstruction of sparse images or signals from very few samples, by means of solving a tractable optimization problem. In the context of MRI, this can ...
Rick Chartrand
HISB
2011
111views more  HISB 2011»
12 years 7 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...
ISBI
2008
IEEE
14 years 8 months ago
RLS-grappa: Reconstructing parallel MRI data with adaptive filters
GRAPPA is one of the predominant methods used to reconstruct accelerated parallel MRI data. In has been shown previously that spatially varying the GRAPPA reconstruction coefficie...
William Scott Hoge, Fernando Gallego, Zhikui Xiao,...
IPMI
2011
Springer
12 years 11 months ago
Generalized Sparse Regularization with Application to fMRI Brain Decoding
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
Bernard Ng, Rafeef Abugharbieh