J. Bosch

Computer Vision and Pattern Recognition · IEEE Transactions on Medical Imaging · 2001–2016

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom J. Bosch trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Tim Cootes
  2. Steven C. Mitchell
  3. Christopher J. Taylor
  4. Simon Baker
  5. Zhuowen Tu
  6. Boudewijn P. F. Lelieveldt

Who trusts J. Bosch overall

  1. Alison Noble
  2. Alexander Andreopoulos
  3. Djamal Boukerroui
  4. Steven C. Mitchell
  5. Caroline Petitjean
  6. Kang Li
  7. John K. Tsotsos
  8. Tobias Heimann

Papers from J. Bosch's perspective

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

  1. A minimum description length approach to statistical shape modeling (IEEE Transactions on Medical Imaging)
  2. Equivalence and efficiency of image alignment algorithms (Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001)
  3. Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac MR images (IEEE Transactions on Medical Imaging)
  4. Automatic segmentation of echocardiographic sequences by active appearance motion models (IEEE Transactions on Medical Imaging)
  5. Statistical models of appearance for medical image analysis and computer vision (SPIE Medical Imaging)
  6. Structured Forests for Fast Edge Detection
  7. Auto-context and its application to high-level vision tasks
  8. EAE/ASE recommendations for image acquisition and display using three-dimensional echocardiography. (Journal of the American Society of Echocardiography)
  9. Automatic Model-Based Segmentation of the Heart in CT Images (IEEE Transactions on Medical Imaging)
  10. ImageNet classification with deep convolutional neural networks

Their papers