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...
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 ...
—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...
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,...
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...