L. D. Vries

Computer Vision and Pattern Recognition · 2016

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

Subfields

Whom L. D. Vries trusts

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

  1. Stephen M. Smith (in Radiology, Nuclear Medicine and Imaging)

Who trusts L. D. Vries

  1. Kenji Suzuki (in Computer Vision and Pattern Recognition)

Papers from L. D. Vries's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Rectified Linear Units Improve Restricted Boltzmann Machines
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Traffic sign recognition with multi-scale Convolutional Networks
  6. Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults (Journal of Cognitive Neuroscience)
  7. Thinning of the cerebral cortex in aging. (Cerebral Cortex)
  8. Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network
  9. Fast robust automated brain extraction
  10. Deep Convolutional Neural Networks for Multi-Modality Isointense Infant Brain Image Segmentation (NeuroImage)

Their papers