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Curvature Analysis of Cardiac Excitation Wavefronts
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Abhishek Murthy,Ezio Bartocci,Flavio H. Fenton,James Glimm,Richard A. Gray,Elizabeth M. Cherry,Scott A. Smolka,Radu Grosu
Issue Date:March 2013
pp. 323-336
We present the Spiral Classification Algorithm (SCA), a fast and accurate algorithm for classifying electrical spiral waves and their associated breakup in cardiac tissues. The classification performed by SCA is an essential component of the detection and ...
 
Prediction using Numerical Simulations, A Bayesian Framework for Uncertainty Quantification and its Statistical Challenge
Found in: Uncertainty Modeling and Analysis, International Symposium on
By James Glimm, Yunha Lee, Kenny Q Ye, David H Sharp
Issue Date:September 2003
pp. 380
Uncertainty quantification is essential in using numerical models for prediction. While many works focused on how the uncertainty of the inputs propagate to the outputs, the modeling errors of the numerical model were often overlooked. In our Bayesian fram...
 
Curvature Analysis of Cardiac Excitation Wavefronts
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Abhishek Murthy, Elizabeth M. Cherry, Ezio Bartocci, Flavio H. Fenton, James Glimm, Radu Grosu, Richard A. Gray, Scott A. Smolka
Issue Date:March 2013
pp. 323-336
We present the Spiral Classification Algorithm (SCA), a fast and accurate algorithm for classifying electrical spiral waves and their associated breakup in cardiac tissues. The classification performed by SCA is an essential component of the detection and ...
     
Poster: performance improvements of front tracking package
Found in: Proceedings of the 2011 companion on High Performance Computing Networking, Storage and Analysis Companion (SC '11 Companion)
By Sameer Shende, Xiaolin Li, James Glimm, Tulin Kaman, Vitali Morozov
Issue Date:November 2011
pp. 63-64
Computational resources on modern high-performance computers are underutilized mainly due to hardware and software performance bottlenecks. Identification of bottlenecks is primary goal of performance analysis, and performance tools are essential for this ...
     
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