Peter B. Noël

Radiology, Nuclear Medicine and Imaging · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peter B. Noël trusts overall

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

  1. David L. Donoho
  2. E.J. Candes
  3. Xin Yi
  4. Guang-Hong Chen
  5. Jelmer M. Wolterink
  6. Jie Tang
  7. Timm Weitkamp
  8. Paul S. Babyn
  9. Justin K. Romberg

Papers from Peter B. Noël's perspective

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

  1. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
  2. Compressed sensing (IEEE Transactions on Information Theory)
  3. Low-dose CT via convolutional neural network. (Biomedical Optics Express)
  4. Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network (IEEE Transactions on Medical Imaging)
  5. Generative Adversarial Networks for Noise Reduction in Low-Dose CT
  6. Deep Learning: A Primer for Radiologists.
  7. A three-dimensional statistical approach to improved image quality for multislice helical CT. (Medical Physics (Lancaster))
  8. Mastering the game of Go with deep neural networks and tree search
  9. Prior image constrained compressed sensing (PICCS) (SPIE BiOS)
  10. Vision 20/20: Single photon counting x-ray detectors in medical imaging. (Medical Physics (Lancaster))

Their papers