Vladimir Pekar

International Conference on Medical Image Computing and Computer-Assisted Intervention · 2003

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Who trusts Vladimir Pekar

  1. Hans-Peter Meinzer (in Computer Vision and Pattern Recognition)
  2. Tobias Heimann (in Computer Vision and Pattern Recognition)

Papers from Vladimir Pekar's perspective

Ordered by how strongly the researchers Vladimir Pekar trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac MR images (IEEE Transactions on Medical Imaging)
  2. Pattern classification and scene analysis
  3. Three-dimensional modeling for functional analysis of cardiac images, a review (IEEE Transactions on Medical Imaging)
  4. A minimum description length approach to statistical shape modeling (IEEE Transactions on Medical Imaging)
  5. Automatic segmentation of echocardiographic sequences by active appearance motion models (IEEE Transactions on Medical Imaging)
  6. Equivalence and efficiency of image alignment algorithms (Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001)
  7. Statistical models of appearance for medical image analysis and computer vision (SPIE Medical Imaging)
  8. Nonrigid registration using free-form deformations: application to breast MR images
  9. Neurons with graded response have collective computational properties like those of two-state neurons.
  10. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Their papers