Paul Leeson

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Leeson trusts overall

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

  1. Nils J. Nilsson

Papers from Paul Leeson's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features (IEEE Transactions on Medical Imaging)
  3. Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans
  4. Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
  5. Identification of type 2 diabetes subgroups through topological analysis of patient similarity (Science Translational Medicine)
  6. Predicting the Future — Big Data, Machine Learning, and Clinical Medicine (New England Journal of Medicine)
  7. Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography.
  8. Prediction error estimation: a comparison of resampling methods (Bioinform.)
  9. Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance (Medical Image Anal.)
  10. An Artificial Agent for Robust Image Registration

Their papers