Bradford J. Wood

Journal of the American Medical Association (JAMA) · 2014–2021

A researcher in the Science corpus: 9 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Bradford J. Wood trusts

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

  1. David F. Shanno (in Optimization & Training)

Papers from Bradford J. Wood's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. GENERATIVE ADVERSARIAL NETS
  5. Understanding deep learning requires rethinking generalization
  6. Adversarial Discriminative Domain Adaptation
  7. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
  8. AutoAugment: Learning Augmentation Strategies From Data
  9. TensorFlow: A system for large-scale machine learning
  10. Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge

Their papers