B. Cox

Biomedical Engineering · Journal of Biomedical Optics · 2010–2017

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom B. Cox trusts overall

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

  1. Paul C. Beard
  2. Lihong V. Wang
  3. Minghua Xu
  4. Yulia Hristova
  5. Jean-Pierre Bérenger
  6. Peter Kuchment

Who trusts B. Cox overall

  1. Mucong Li
  2. Hui Jiang
  3. Vincent Sitzmann
  4. Yuqi Tang
  5. Junjie Yao

Papers from B. Cox's perspective

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

  1. Noninvasive laser-induced photoacoustic tomography for structural and functional in vivo imaging of the brain (Nature Biotechnology)
  2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  3. Determining a Function from Its Mean Values Over a Family of Spheres (SIAM Journal on Mathematical Analysis)
  4. Learning to learn by gradient descent by gradient descent
  5. Compressed Sensing
  6. Biomedical photoacoustic imaging (Interface Focus)
  7. The Application of Compressed Sensing for Photo-Acoustic Tomography (IEEE Transactions on Medical Imaging)
  8. Deep Convolutional Neural Network for Inverse Problems in Imaging (IEEE Transactions on Image Processing)
  9. Solving ill-posed inverse problems using iterative deep neural networks
  10. Universal back-projection algorithm for photoacoustic computed tomography (SPIE BiOS)

Their papers