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Deep-learning-based reconstruction of T2-weighted magnetic resonance imaging of the prostate accelerated by compressed sensing provides improved image quality at half the acquisition time

   
@article{QIMS123434,
	author = {Martin Jurka and Iva Macova and Monika Wagnerova and Otakar Capoun and Roman Jakubicek and Petr Ourednicek and Lukas Lambert and Andrea Burgetova},
	title = {Deep-learning-based reconstruction of T2-weighted magnetic resonance imaging of the prostate accelerated by compressed sensing provides improved image quality at half the acquisition time},
	journal = {Quantitative Imaging in Medicine and Surgery},
	volume = {14},
	number = {5},
	year = {2024},
	keywords = {},
	abstract = {},
	issn = {2223-4306},	url = {https://qims.amegroups.org/article/view/123434}
}