Isabel de la Torre Díez

Radiology, Nuclear Medicine and Imaging · 2014–2020

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Isabel de la Torre Díez trusts overall

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

  1. Mingxing Tan
  2. Ioannis D. Apostolopoulos

Papers from Isabel de la Torre Díez's perspective

Ordered by how strongly the researchers Isabel de la Torre Díez trusts endorse each paper. Same corpus, a different order for every researcher.

  1. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks (Physical and Engineering Sciences in Medicine)
  5. Automated detection of COVID-19 cases using deep neural networks with X-ray images (Comput. Biol. Medicine)
  6. Accelerating the Super-Resolution Convolutional Neural Network
  7. High-performance medicine: the convergence of human and artificial intelligence
  8. The Effectiveness of Mobile-Health Technologies to Improve Health Care Service Delivery Processes: A Systematic Review and Meta-Analysis (PLoS Medicine)
  9. Book Review: mHealth: New Horizons for Health through Mobile Technologies: Based on the Findings of the Second Global Survey on eHealth (Global Observatory for eHealth Series, Volume 3) (Healthcare Informatics Research)
  10. Albumentations: fast and flexible image augmentations

Their papers