This paper describes an automatic tissue segmentation method for neonatal MRI. The analysis and study of neonatal brain MRI is of great interest due to its potential for studying e...
Marcel Prastawa, John H. Gilmore, Weili Lin, Guido...
Automated detection of stable fracture points in a sequence of Computed Tomography (CT) images is found to be a challenging task. In this paper, an innovative scheme for automatic...
Ananda S. Chowdhury, Suchendra M. Bhandarkar, Gaur...
Automatic, defect tolerant registration of transmission electron microscopy (TEM) images poses an important and challenging problem for biomedical image analysis, e.g. in computat...
A new algorithm is presented for the automatic segmentation and classification of brain tissue from 3D MR scans. It uses discriminative Random Decision Forest classification and ta...
Zhao Yi, Antonio Criminisi, Jamie Shotton, Andr...
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model of the recon...