R. González

Artificial Intelligence · Radiology · 2000–2019

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom R. González trusts

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

  1. Matthew D. Zeiler (in Artificial Intelligence)

Papers from R. González's perspective

Ordered by how strongly the researchers R. González 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. Aggregated Residual Transformations for Deep Neural Networks
  3. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
  4. ADADELTA: An Adaptive Learning Rate Method
  5. Dermatologist-level classification of skin cancer with deep neural networks
  6. CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
  7. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
  8. Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study. (The Lancet)
  9. Weakly-Supervised Evidence Pinpointing and Description
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers