A framework for automatic analysis of the dynamic behaviour of coronary angiograms

This publication has 25 references indexed in Scilit:

• A knowledge-based approach for 3-D reconstruction and labeling of vascular networks from biplane angiographic projections
  IEEE Transactions on Medical Imaging, 1991
• From image sequences towards conceptual descriptions
  Image and Vision Computing, 1988
• Experiments in computing optical flow with the gradient-based, multiconstraint method
  Pattern Recognition, 1987
• On the estimation of optical flow: Relations between different approaches and some new results
  Artificial Intelligence, 1987
• Knowledge organization and its role in representation and interpretation for time-varying data: the ALVEN system
  Computational Intelligence, 1985
• Computations underlying the measurement of visual motion
  Artificial Intelligence, 1984
• Adapting optical-flow to measure object motion in reflectance and x-ray image sequences (abstract only)
  ACM SIGGRAPH Computer Graphics, 1984
• Measurement of three-dimensional positions and motions of large numbers of spherical radiopaque markers from biplane cineradiograms
  Computers and Biomedical Research, 1982
• Determining optical flow
  Artificial Intelligence, 1981
• Assessment of regional myocardial performance from biplane coronary cineangiograms
  The American Journal of Cardiology, 1971