Sarah Jane Hamilton

IEEE Transactions on Medical Imaging · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Sarah Jane Hamilton trusts overall

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

  1. Gennadi Vainikko
  2. Jennifer L. Mueller
  3. Olaf Ronneberger
  4. Kyong Hwan Jin
  5. Kim Knudsen
  6. Samuli Siltanen
  7. Philipp Fischer
  8. Michael T. McCann
  9. Matti Lassas
  10. Jonas Adler

Papers from Sarah Jane Hamilton's perspective

Ordered by how strongly the researchers Sarah Jane Hamilton 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. Fast Solvers of the Lippmann-Schwinger Equation
  3. Deep Convolutional Neural Network for Inverse Problems in Imaging (IEEE Transactions on Image Processing)
  4. Solving ill-posed inverse problems using iterative deep neural networks
  5. A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction (Medical Physics (Lancaster))
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography (IEEE Transactions on Medical Imaging)
  8. Linear and Nonlinear Inverse Problems with Practical Applications (Computational science and engineering)
  9. A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction
  10. REGULARIZED D-BAR METHOD FOR THE INVERSE CONDUCTIVITY PROBLEM

Their papers