Erik Smistad

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Erik Smistad trusts overall

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

  1. Julian Besag
  2. M. Sanjeev Arulampalam

Papers from Erik Smistad's perspective

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

  1. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  2. Stacked Hourglass Networks for Human Pose Estimation
  3. A Method for Registration of 3-D Shapes
  4. Structured Forests for Fast Edge Detection
  5. A survey on deep learning in medical image analysis
  6. Auto-context and its application to high-level vision tasks
  7. On the Statistical Analysis of Dirty Pictures
  8. EAE/ASE recommendations for image acquisition and display using three-dimensional echocardiography. (Journal of the American Society of Echocardiography)
  9. Ultrasound image segmentation: a survey (IEEE Transactions on Medical Imaging)
  10. Automatic Model-Based Segmentation of the Heart in CT Images (IEEE Transactions on Medical Imaging)

Their papers