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[main PDF](https://hal.science/hal-04824372/document), [supplementary PDF](https://hal.science/hal-04824372/preview/hspim_nature_supp.pdf).\n\n* [SPyRiT 3.0](./2025_spyrit_v3/) (Optics Express, 2025)\n\n\u003e JFJP Abascal, T Baudier, R Phan, A Repetti, N Ducros, \"SPyRiT 3.0: an open source package for single-pixel imaging based on deep learning,\" Optics Express (2025).  [DOI](https://doi.org/10.1364/OE.559227), [main PDF](https://hal.science/hal-04662876/document), [supplementary PDF](https://hal.science/hal-04662876/preview/supplementary_v4.pdf).\n\n### 2023\n\n* [OpenSpyrit ecosystem](./2022_OE_spyrit2/) (Optics Express, 2023)\n\n\u003e G. Beneti-Martin, L Mahieu-Williame, T Baudier, N Ducros, \"OpenSpyrit: an Ecosystem for Reproducible Single-Pixel Hyperspectral Imaging,\" Optics Express, Vol. 31, No. 10, (2023). [DOI](https://doi.org/10.1364/OE.483937).\n\n### 2022\n\n* [ISTE Book Chapter](./deprecated/2022_ISTE/) (ISTE, 2022)\n\n\u003e [*English*] N Ducros. An Introduction to Single-Pixel Imaging. [DOI](https://doi.org/10.1002/9781394283996.ch8)\n\n\u003e [*French*] N Ducros. Une introduction à l’imagerie computationnelle monodétecteur. [DOI](https://doi.org/10.51926/ISTE.9132.ch8).\n\n### 2021\n\n* [Denoised Completion Network (DC-Net)](./deprecated/2021_Optics_express/) (Optics Express, 2021)\n\n\u003e Antonio Lorente Mur, Pierre Leclerc, Françoise Peyrin, Nicolas Ducros.  \"Single-Pixel Image Reconstruction from Experimental Data Using Neural Networks,\" Vol. 29, No. 11, [DOI](https://doi.org/10.1364/OE.424228). [PDF](https://hal.archives-ouvertes.fr/hal-03202353/document).\n\n### 2020\n\n* [Completion Network (C-Net)](./deprecated/2020_ISBI_CNet/)  (ISBI, 2020)\n\n\u003e 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](10.1109/ISBI45749.2020.9098390). [PDF](https://hal.archives-ouvertes.fr/hal-02342766/document/).\n\n##  List of educational materials\n\nSome of educational material based on the SPYRIT toolbox\n\n### 2025\n\n* [Deep image reconstruction using the PyTorch and SPyRiT 3.0 packages](./2025_DLMIS/readMe.md) (DLMIS 25)\n\n\u003e N Ducros, S Hariga, T Kaprelian, L Leon, T Maitre. Hands-on session 4. [Deep Learning for Medical Imaging School 2025](https://deepimaging2025.sciencesconf.org/).\n\n### 2023\n\n* [Deep image reconstruction using the PyTorch and SPyRiT packages](./2023_DLMIS/readMe.md) (DLMIS 23)\n\n\u003e L Amador, E Chen, N Ducros, H-J Ling, K Mom, J Puig, T Grenier, E Saillard. Hands-on session 4. [Deep Learning for Medical Imaging School 2023](https://deepimaging2023.sciencesconf.org/).\n\n### 2021\n\n* [Deep image reconstruction using the PyTorch and SPyRiT packages](./deprecated/2021_DLMIS_Hands-on/readMe.md) (DLMIS 21)\n\n\u003e N Ducros, T Leuliet, A Lorente Mur, L Friot--Giroux. Hands-on session 3.1.  [Deep Learning for Medical Imaging School 2021](https://deepimaging2021.sciencesconf.org/).\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopenspyrit%2Fspyrit-examples","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fopenspyrit%2Fspyrit-examples","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopenspyrit%2Fspyrit-examples/lists"}