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MC-PDNET: Deep unrolled neural network for multi-contrast mr image reconstruction from undersampled k-space data

October 2024 Kumari Pooja, Zaccharie Ramzi, Chaithya Giliyar Radhakrishna, Philippe Ciuciu 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) · Conference paper
#Deep Learning #Compressed Sensing #Quantitative MRI #MRI #multi-contrast MRI #image reconstruction

Abstract

International audience

Details

  • Type of work: Conference paper
  • Venue: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)
  • Published: 2 October 2024
  • Pages: 1—5
  • DOI: 10.17023/sxsx-a365
  • Authors: Kumari Pooja, Zaccharie Ramzi, Chaithya Giliyar Radhakrishna, and Philippe Ciuciu
  • Data sources: ref.bib, OpenAlex

BibTeX

@inproceedings{pooja2022mc,
  title={MC-PDNET: Deep unrolled neural network for multi-contrast mr image reconstruction from undersampled k-space data},
  author={Pooja, Kumari and Ramzi, Zaccharie and Chaithya, GR and Ciuciu, Philippe},
  booktitle={2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)},
  pages={1--5},
  year={2022},
  organization={IEEE}
}