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JOINT OPTIMIZATION OF SAMPLING PATTERN AND PRIORS IN MODEL BASED DEEP LEARNING

Deep learning methods are emerging as powerful alternatives for compressed sensing MRI to recover images from highly undersampled data. Unlike compressed sensing, the image redundancies that are captured by these models are not well understood. The lack of theoretical understanding also makes it cha...

Täydet tiedot

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Bibliografiset tiedot
Julkaisussa:Proc IEEE Int Symp Biomed Imaging
Päätekijät: Aggarwal, Hemant K., Jacob, Mathews
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2020
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC7877807/
https://ncbi.nlm.nih.gov/pubmed/33584975
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/isbi45749.2020.9098639
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