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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...

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Bibliographic Details
Published in:Proc IEEE Int Symp Biomed Imaging
Main Authors: Aggarwal, Hemant K., Jacob, Mathews
Format: Artigo
Language:Inglês
Published: 2020
Subjects:
Online Access: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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