Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Compressive Sensing (CS) is a new paradigm in signal acquisition and compression. In compressive sensing, a compressible signal is acquired using much less measurements than the o...
Abstract. We propose a method for atrophy simulation in structural MR images based on finite-element methods, providing data for objective evaluation of atrophy measurement techniq...
Oscar Camara-Rey, Martin Schweiger, Rachael I. Sca...
Automatic myocardial wall motion tracking in ultrasound images is an important step in analysis of the heart function. Existing methods for Myocardial Wall Tracking are not robust ...
Bogdan Georgescu, Xiang Sean Zhou, Dorin Comaniciu...
Unlike the top-down photolithographic CMOS VLSI process, cost-effective bulk fabrication of nanodevices calls for a bottom-up approach, generally called self-assembly. Selfassembl...
James Dardig, Haralampos-G. D. Stratigopoulos, Eri...