G. Schmit

Methods · 2017

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

Papers from G. Schmit's perspective

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

  1. Bayesian-Based Iterative Method of Image Restoration
  2. Proximal Algorithms
  3. Deep Convolutional Neural Network for Image Deconvolution
  4. NIH Image to ImageJ: 25 years of Image Analysis (Nature Methods)
  5. Richardson–Lucy algorithm with total variation regularization for 3D confocal microscope deconvolution (Microscopy research and technique (Print))
  6. Deconvolution in Astronomy: A Review
  7. A workingperson's guide to deconvolution in light microscopy. (BioTechniques)
  8. Foundations of Confocal Scanned Imaging in Light Microscopy
  9. Icy: an open bioimage informatics platform for extended reproducible research (Nature Methods)
  10. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper

Their papers