nducros / spyrit-examples

SPYRIT examples including tutorials and research contributions

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spyrit-examples

This repository hosts codes that are based on the spyrit package, which includes

  1. Research contributions
  2. Educational materials
  3. Master's student projects

List of research contributions

Here are some of research contributions based on the SPYRIT toolbox. All of them address computational optics image reconstruction problems, with a focus on single-pixel acquisition.

2021

Antonio Lorente Mur, Pierre Leclerc, Françoise Peyrin, Nicolas Ducros. Single-Pixel Image Reconstruction from Experimental Data Using Neural Networks. DOI. PDF.

2020

Nicolas Ducros, A Lorente Mur, F. Peyrin. A Completion Network for Reconstruction from Compressed Acquisition. 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Apr 2020, Iowa City, United States, pp.619-623. DOI. PDF.

List of educational materials

Materials used during Master Classes or Seasonal Schools, with emphasis on image reconstruction.

2021

N Ducros, T Leuliet, A Lorente Mur, L Friot--Giroux. Hands-on session 3.1: image reconstruction using the PyTorch and Spyrit packages. Deep Learning for Medical Imaging School 2021.

List of MSc student projects

Some projects of last year MSc students, INSA-Lyon, Electrical Engineering Department. (Not always fully functional.)

2020-21 S1

Jules Dartois, Valentin Bérisset

2020-21 S1

Marc Chanet, Juliette Coumert

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SPYRIT examples including tutorials and research contributions


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Language:Jupyter Notebook 96.7%Language:Python 3.0%Language:MATLAB 0.3%