LFANET: Transforming 3T Single-Shell to 7T Multi-Shell DMRI Using Deep Learning Based Leapfrog and Attention-Reference-Cited by-同舟云学术

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LFANET: Transforming 3T Single-Shell to 7T Multi-Shell DMRI Using Deep Learning Based Leapfrog and Attention

Published:2022-03-28 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)
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Author:

Jha Ranjeet Ranjan¹,Pathak Sudhir K²,Schneider Walter²,Kumar B. V. Rathish³,Bhavsar Arnav¹,Nigam Aditya¹

Affiliation:

1. Indian Institute of Technology Mandi,School of Computing and Electrical Engineering (SCEE),India

2. University of Pittsburgh,Learning Research and Development Center,USA

3. Indian Institute of Technology Kanpur,Department of Mathematics and Statistics,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9761376/9761399/09761658.pdf?arnumber=9761658

Reference17 articles.

1. Hybrid Graph Convolutional Neural Networks for Super Resolution of DW Images

2. ODE-Inspired Network Design for Single Image Super-Resolution

3. Human connectome projects,0

4. Regularized, fast, and robust analytical Q-ball imaging

5. Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation

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