RN1 Lauren A. DeLand

Artificial Intelligence · 2019

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

Subfields

Whom RN1 Lauren A. DeLand trusts

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

  1. Anant Madabhushi (in Artificial Intelligence)

Papers from RN1 Lauren A. DeLand's perspective

Ordered by how strongly the researchers RN1 Lauren A. DeLand trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Image analysis and machine learning in digital pathology: Challenges and opportunities (Medical Image Anal.)
  2. Artificial Intelligence and Digital Pathology: Challenges and Opportunities (Journal of Pathology Informatics)
  3. High-performance medicine: the convergence of human and artificial intelligence
  4. Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases (Journal of Pathology Informatics)
  5. Biomedical image augmentation using Augmentor
  6. A guide to deep learning in healthcare
  7. ImageNet classification with deep convolutional neural networks
  8. LIBSVM: A library for support vector machines
  9. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  10. A global geometric framework for nonlinear dimensionality reduction.

Their papers