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Guillaume Daval-Frerot
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2020 – today
- 2022
- [b1]Guillaume Daval-Frerot:
Réseaux de neurones profonds pour la reconstruction en IRM et la correction d'inhomogénéités de B₀ de l'imagerie pondérée en susceptibilité magnétique non cartésienne à 3 Tesla. (Deep neural networks for MR image reconstruction and B₀ inhomogeneity correction in non-Cartesian susceptibility weighted imaging at 3 Tesla). University of Paris-Saclay, France, 2022 - [j1]Chaithya G. R.
, Pierre Weiss
Optimizing Full 3D SPARKLING Trajectories for High-Resolution Magnetic Resonance Imaging. IEEE Trans. Medical Imaging 41(8): 2105-2117 (2022) - 2021
- [i1]Chaithya G. R.
Optimizing full 3D SPARKLING trajectories for high-resolution T2*-weighted Magnetic Resonance Imaging. CoRR abs/2108.02991 (2021) - 2020
- [c2]Guillaume Daval-Frerot, Yannick Weis:
WMD at SemEval-2020 Tasks 7 and 11: Assessing Humor and Propaganda Using Unsupervised Data Augmentation. SemEval@COLING 2020: 1865-1874
2010 – 2019
- 2018
- [c1]Guillaume Daval-Frerot, Abdessalam Bouchekif, Anatole Moreau:
Epita at SemEval-2018 Task 1: Sentiment Analysis Using Transfer Learning Approach. SemEval@NAACL-HLT 2018: 151-155
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last updated on 2024-04-25 05:45 CEST by the dblp team
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