Abstract. We propose a new framework for simulating blood flow inside the heart, usable with geometric models of the heart from patientspecific data. The method is geared toward re...
Viorel Mihalef, Dimitris N. Metaxas, Mark Sussman,...
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
Assimilation of spatially- and temporally-distributed state observations into simulations of dynamical systems stemming from discretized PDEs leads to inverse problems with high-di...
Omar Bashir, Omar Ghattas, Judith Hill, Bart G. va...
En-route data compression is fundamental to reduce the power consumed for data gathering in sensor networks. Typical in-network compression schemes involve the distributed computat...
Surface-based brain imaging analysis is increasingly being used for detailed analysis of the topology of brain activation patterns and changes in cerebral gray matter. Here we pre...
Brenna Argall, Richard Reynolds, Robert J. Cox, Sh...