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Double temporal sparsity based accelerated reconstruction of compressively sensed resting-state fMRI

  • Published:2017-12 Issue: Volume:91 Page:255-266
  • ISSN:0010-4825
  • Container-title:Computers in Biology and Medicine
  • language:en
  • Short-container-title:Computers in Biology and Medicine

Author:

Aggarwal Priya,Gupta Anubha

Funder

Visvesvaraya research fellowship, Department of Electronics and Information Tech., Ministry of Comm. and IT, Govt. of India

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robust compressed sensing MRI based on combined nonconvex regularization;Knowledge-Based Systems;2023-05

2. TL-HARDI: Transform learning based accelerated reconstruction of HARDI data;Computers in Biology and Medicine;2022-04

3. Subspace-constrained approaches to low-rank fMRI acceleration;NeuroImage;2021-09

4. High-resolution brain fMRI reconstruction via double cooperative network learning;Proceedings of the 2020 4th High Performance Computing and Cluster Technologies Conference & 2020 3rd International Conference on Big Data and Artificial Intelligence;2020-07-03

5. Accelerated sparsity based reconstruction of compressively sensed multichannel EEG signals;PLOS ONE;2020-01-07
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