Editorial Board
Editorial on Special Issue on Probabilistic Models for Biomedical Image Analysis
Modeling 4D pathological changes by leveraging normative models
Variational inference for medical image segmentation
Adaptive particle filtering for coronary artery segmentation from 3D CT angiograms
Probabilistic model for 3D interactive segmentation
Medical image modality classification using discrete Bayesian networks
Entropy-based correspondence improvement of interpolated skeletal models
A detection-driven and sparsity-constrained deformable model for fascia lata labeling and thigh inter-muscular adipose quantification
Non-parametric Bayesian models of response function in dynamic image sequences
3D freehand ultrasound reconstruction using a piecewise smooth Markov random field
Combining multiple expert annotations using semi-supervised learning and graph cuts for medical image segmentation
Clinically inspired analysis of dermoscopy images using a generative model
Modeling eye movement patterns to characterize perceptual skill in image-based diagnostic reasoning processes