John D. Gardus

2018

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

Whom John D. Gardus trusts overall

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

  1. Stephen M. Smith
  2. Diederik P. Kingma
  3. Mark Jenkinson
  4. Olaf Ronneberger
  5. John G. Sled

Papers from John D. Gardus's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  3. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
  4. Fast robust automated brain extraction
  5. A global optimisation method for robust affine registration of brain images (Medical Image Anal.)
  6. A nonparametric method for automatic correction of intensity nonuniformity in MRI data
  7. MR‐based synthetic CT generation using a deep convolutional neural network method
  8. Deep learning Mr imaging–based attenuation correction for PeT/Mr imaging 1
  9. ImageNet classification with deep convolutional neural networks
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers