Adaptive temporal information fusion network for in vivo cardiac DTI motion compensation-Reference-Cited by-同舟云学术

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Adaptive temporal information fusion network for in vivo cardiac DTI motion compensation

Published:2022-10-21 Issue: Volume: Page:
ISSN:
Container-title:2022 16th IEEE International Conference on Signal Processing (ICSP)
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Author:

Deng Zeyu¹,Wang Lihui¹,Ye Chen¹,Cao Ying¹,Yang Feng²,Zhu Yuemin³

Affiliation:

1. Guizhou University,Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, State Key Laboratory of Public Big Data, College of Computer Science and Technology,Guiyang,China

2. Beijing Jiaotong University,School of Computer and Information Technology,Beijing,China

3. Univ Lyon, INSA Lyon, CNRS, Inserm, CREATIS UMR 5220, U1294,Lyon,France,F-69621

Funder

Nature

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9964480/9964481/09965290.pdf?arnumber=9965290

Reference23 articles.

1. In vivo three-dimensional high resolution cardiac diffusion-weighted MRI: A motion compensated diffusion-prepared balanced steady-state free precession approach

2. PCATMIP: Enhancing signal intensity in diffusion-weighted magnetic resonance imaging

3. Free-Breathing Diffusion Tensor Imaging and Tractography of the Human Heart in Healthy Volunteers Using Wavelet-Based Image Fusion

4. Deep Guided Learning for Fast Multi-Exposure Image Fusion

5. Perceptual Quality Assessment for Multi-Exposure Image Fusion

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