Brian Nett

Radiology, Nuclear Medicine and Imaging · 2009–2019

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Brian Nett trusts overall

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

  1. Hengyong Yu
  2. E.J. Candes
  3. Arthur P. Dempster
  4. Emil Y. Sidky
  5. Jean-Baptiste Thibault
  6. Jing Wang
  7. Jiang Hsieh

Who trusts Brian Nett overall

  1. Oguz Semerci
  2. Zhiqiang Chen

Papers from Brian Nett's perspective

Ordered by how strongly the researchers Brian Nett 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. Sparse MRI: The application of compressed sensing for rapid MR imaging
  3. Computed tomography--an increasing source of radiation exposure. (New England Journal of Medicine)
  4. Computed Tomography: Principles, Design, Artifacts, and Recent Advances
  5. Statistical image reconstruction for polyenergetic X-ray computed tomography (IEEE Transactions on Medical Imaging)
  6. Nonlinear total variation based noise removal algorithms
  7. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  8. Deep Learning: A Primer for Radiologists.
  9. The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence (European Radiology)
  10. Undersampled radial MRI with multiple coils. Iterative image reconstruction using a total variation constraint (Magnetic Resonance in Medicine)

Their papers