MSAIF-Net: A Multistage Spatial Attention-Based Invertible Fusion Network for MR Images-Reference-Cited by-同舟云学术

MSAIF-Net: A Multistage Spatial Attention-Based Invertible Fusion Network for MR Images

Published:2023 Issue: Volume:72 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhang Xiaowen¹^ORCID,Liu Aiping¹^ORCID,Jiang Pan²^ORCID,Qian Ruobin³^ORCID,Wei Wei⁴^ORCID,Chen Xun¹^ORCID

Affiliation:

1. School of Information Science and Technology of China, Hefei, China

2. Department of Stomatology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China

3. Department of Neurosurgery, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, China

4. Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China

Funder

Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research

National Natural Science Foundation of China

Joint Fund for Medical Artificial Intelligence

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10242071.pdf?arnumber=10242071

Reference61 articles.

1. Pixel- and region-based image fusion with complex wavelets

2. A new quality metric for image fusion

3. Multi-scale weighted gradient-based fusion for multi-focus images

5. Image Features Extraction and Fusion Based on Joint Sparse Representation

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