In this work, we propose a new paradigm called power emulation, which exploits hardware acceleration to drastically speedup power estimation. Power emulation is based on the obser...
Anatomical objects often have complex and varying image appearance at different portions of the boundary; and it is frequently a challenge even to select appropriate scales at whic...
Obesity has risen to epidemic levels in the United States and around the world. Global indices of obesity such as the body mass index (BMI) have been known to be inaccurate predict...
Xenophon Papademetris, Pavel Shkarin, Lawrence H. ...
A general-purpose deformable registration algorithm referred
to as ”DRAMMS” is presented in this paper. DRAMMS adds to the
literature of registration methods that bridge betw...
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...