Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image Synthesis-Reference-Cited by-同舟云学术

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Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image Synthesis

Published:2024 Issue: Volume:26 Page:995-1010
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Cao Bing¹^ORCID,Cao Haifang¹,Liu Jiaxu¹,Zhu Pengfei¹^ORCID,Zhang Changqing¹^ORCID,Hu Qinghua¹^ORCID

Affiliation:

1. College of Intelligence and Computing, Tianjin University, Tianjin, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Natural Science Foundation of Tianjin Municipality

MindSpore and CAAI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/10384483/10124026.pdf?arnumber=10124026

Reference77 articles.

1. StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation

2. CollaGAN: Collaborative GAN for Missing Image Data Imputation

3. Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis

4. Synthetic MRI for Clinical Neuroimaging: Results of the Magnetic Resonance Image Compilation (MAGiC) Prospective, Multicenter, Multireader Trial

5. Presentation and validation of the Radboud Faces Database

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1. An hetero-modal deep learning framework for medical image synthesis applied to contrast and non-contrast MRI;Biomedical Physics & Engineering Express;2024-09-13

2. Generative Adversarial Approach for Medical Image Synthesis with Context Aware Deep Convolutional Networks;2024 International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications (ICETCS);2024-04-22

3. Learning to Generalize over Subpartitions for Heterogeneity-Aware Domain Adaptive Nuclei Segmentation;International Journal of Computer Vision;2024-02-22

4. Film-GAN: towards realistic analog film photo generation;Neural Computing and Applications;2023-12-11

5. TMGAN: two-stage multi-domain generative adversarial network for landscape image translation;The Visual Computer;2023-12-07

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