Medical Image Super-Resolution via Diagnosis-Guided Attention-Reference-Cited by-同舟云学术

Medical Image Super-Resolution via Diagnosis-Guided Attention

Published:2023-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Multimedia and Expo (ICME)
language:
Short-container-title:

Author:

Wang Jingwei¹,Zhou Peng¹,Han Xianjun¹,Chen Yanming²

Affiliation:

1. Anhui University,Anhui Provincial International Joint Research Center for Advanced Technology in Medical Imaging, School of Computer Science and Technology,Hefei,China

2. Anhui University,School of Computer Science and Technology,Hefei,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10219544/10219545/10219730.pdf?arnumber=10219730

Reference23 articles.

1. Imaging cerebral atrophy: normal ageing to Alzheimer's disease

2. SROBB: Targeted Perceptual Loss for Single Image Super-Resolution

3. Efficient Long-Range Attention Network for Image Super-Resolution

4. Deformable Convolutional Networks

5. Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI☆

Cited by 4 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. SR-RDFAN-LOG: Arbitrary-scale logging image super-resolution reconstruction based on residual dense feature aggregation;Geoenergy Science and Engineering;2024-09

2. Information Scaling Distillation Network for Lightweight Single Image Super-Resolution;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Fedsr: Federated Learning for Image Super-Resolution Via Detail-Assisted Contrastive Learning;2024

4. Ensemble Network for Alzheimer’s Disease Diagnosis;2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT);2023-11-10