Yanis Chemli. Methods for improved brain PET quantification using super-resolution and non-negative matrix factorization. (Méthodes pour l'amélioration de la quantification en imagerie TEP du cerveau à l'aide de Super-Résolution et Factorisation Matricielle Non-négative). PhD thesis, Polytechnic Institute of Paris, Palaiseau, France, 2023. [doi]
@phdthesis{hal-20043,
title = {Methods for improved brain PET quantification using super-resolution and non-negative matrix factorization. (Méthodes pour l'amélioration de la quantification en imagerie TEP du cerveau à l'aide de Super-Résolution et Factorisation Matricielle Non-négative)},
author = {Yanis Chemli},
year = {2023},
url = {https://tel.archives-ouvertes.fr/tel-04367958},
researchr = {https://researchr.org/publication/hal-20043},
cites = {0},
citedby = {0},
school = {Polytechnic Institute of Paris, Palaiseau, France},
}