Jiang Hsieh

Radiology, Nuclear Medicine and Imaging · 2003–2019

A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Jiang Hsieh trusts overall

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

  1. B. De Man

Who trusts Jiang Hsieh overall

  1. T. Heindel
  2. B. Metscher
  3. F. Boas
  4. Chang Liu
  5. Simone Carmignato
  6. Yoseob Han
  7. Jean-Baptiste Thibault
  8. Reid Kawamoto
  9. Dominik Fleischmann
  10. Erkun Yang

Papers from Jiang Hsieh's perspective

Ordered by how strongly the researchers Jiang Hsieh 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
  3. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries (IEEE Transactions on Image Processing)
  4. Sparse Representation for Color Image Restoration
  5. Online Learning for Matrix Factorization and Sparse Coding
  6. Robust Face Recognition via Sparse Representation
  7. Deep Learning: A Primer for Radiologists.
  8. On the convergence of the coordinate descent method for convex differentiable minimization
  9. Computed tomography--an increasing source of radiation exposure. (New England Journal of Medicine)
  10. The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence (European Radiology)

Their papers