Sparse recovery techniques have been shown to produce very accurate acoustic images, significantly outperforming traditional deconvolution approaches. However, so far these propo...
Diffusion tensor imaging (DTI) has become the major modality to study properties of white matter and the geometry of fiber tracts of the human brain. Clinical studies mostly focus ...
Isabelle Corouge, P. Thomas Fletcher, Sarang C. Jo...
Extracting a computer model of a real scene from a sequence of views, is one of the most challenging and fundamental problems in computer vision. Stereo vision algorithms allow us...
The exact knowledge of the blood vessel geometry plays an important role, not only in clinical applications (stroke diagnosis, detection of stenosis), but also for detailed analysi...
Previous work suggests that Gabor-wavelet-based methods can achieve high sensitivity and specificity for emotionspecified expressions (e.g., happy, sad) and single action units ...