Deep learning-based magnetic resonance image super-resolution: a survey-Reference-Cited by-同舟云学术

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Deep learning-based magnetic resonance image super-resolution: a survey

Published:2024-05-17 Issue: Volume: Page:
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Ji Zexin,Zou Beiji,Kui Xiaoyan,Liu Jun,Zhao Wei,Zhu Chengzhang,Dai Peishan,Dai Yulan

Funder

National Key R &D Program of China

National Natural Science Foundation of China

Key Research and Development Program of Hunan Province

Central South University Research Programme of Advanced Interdisciplinary Studies

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00521-024-09890-w.pdf

Reference150 articles.

1. Ramírez VM, Pinon N, Forbes F, Lartizen C, Dojat M (2021) atch versus global image-based unsupervised anomaly detection in MR brain scans of early parkinsonian patients. In: Machine learning in clinical neuroimaging: 4th international workshop, MLCN 2021, vol. 13001, pp 34–43. https://doi.org/10.1007/978-3-030-87586-2_4

2. Zhang J, He X, Qing L, Gao F, Wang B (2022) PGAN: brain PET synthesis from MRI using generative adversarial network for multi-modal Alzheimer’s disease diagnosis. Comput Methods Programs Biomed 217:106676. https://doi.org/10.1016/j.cmpb.2022.106676

3. Mendonça LJC, Ferrari RJ, Initiative ADN (2023) Alzheimer’s disease classification based on graph kernel SVMs constructed with 3d texture features extracted from MR images. Expert Syst Appl 211:118633. https://doi.org/10.1016/j.eswa.2022.118633

4. Ma X, Zhao Y, Lu Y, Li P, Li X, Mei N, Wang J, Geng D, Zhao L, Yin B (2022) A dual-branch hybrid dilated CNN model for the AI-assisted segmentation of meningiomas in MR images. Comput Biol Med 151(Part):106279. https://doi.org/10.1016/j.compbiomed.2022.106279

5. Chen C, Qin C, Ouyang C, Li Z, Wang S, Qiu H, Chen L, Tarroni G, Bai W, Rueckert D (2022) Enhancing MR image segmentation with realistic adversarial data augmentation. Medical Image Anal 82:102597. https://doi.org/10.1016/j.media.2022.102597

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