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1
Convolutional LSTM: A Deep learning approach for Dynamic MR..:
, In:
2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)
,
Yakkundi, Shashidhar V.
;
Subha, D.P.
- p. 1011-1015 , 2020
Link:
https://doi.org/10.1109/ICOEI48184.2020.9142982
RT T1 <cTitle>2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)</cTitle>: T1 <Title>Convolutional LSTM: A Deep learning approach for Dynamic MRI Reconstruction</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9142982&Exemplar=1&LAN=DE A1 Yakkundi, Shashidhar V. A1 Subha, D.P. YR 2020 K1 Image reconstruction K1 Magnetic resonance imaging K1 Computer architecture K1 Machine learning K1 Image coding K1 Microprocessors K1 Conferences K1 Dynamic Magnetic Resonance Imaging K1 ConvL-STM (Convolutional Long Short Memory) K1 CNN (Convolutional Neural Network) K1 Compressed K1 sensing K1 k-space K1 Cartesian undersampling SP 1011 OP 1015 LK http://dx.doi.org/https://doi.org/10.1109/ICOEI48184.2020.9142982 DO https://doi.org/10.1109/ICOEI48184.2020.9142982 SF ELIB - SuUB Bremen
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