We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
We present practical algorithms for accelerating geometric queries on models made of NURBS surfaces using programmable Graphics Processing Units (GPUs). We provide a generalized f...
In an 2D echocardiogram exam, an ultrasound probe
samples the heart with 2D slices. Changing the orientation
and position on the probe changes the slice viewpoint, altering
the ...
Ritwik Kumar, Fei Wang, David Beymer, Tanveer Fath...