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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 12, 2024
MM-Net: A MixFormer-Based Multi-Scale Network for Anatomical and Functional Image FusionYu Liu, Chen Yu, Juan Cheng, et al.
Computers in Biology and Medicine|April 21, 2019
A multi-scale data fusion framework for bone age assessment with convolutional neural networksYu Liu, Chao Zhang, Juan Cheng, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 3, 2025
VDMUFusion: A Versatile Diffusion Model-Based Unsupervised Framework for Image FusionYu Shi, Yu Liu, Juan Cheng, et al.
IEEE Journal of Biomedical and Health Informatics|October 11, 2016
Illumination Variation-Resistant Video-Based Heart Rate Measurement Using Joint Blind Source Separation and Ensemble Empirical Mode DecompositionJuan Cheng, Xun Chen, Lingxi Xu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|February 20, 2024
Rethinking the Effectiveness of Objective Evaluation Metrics in Multi-Focus Image Fusion: A Statistic-Based ApproachYu Liu, Zhengzheng Qi, Juan Cheng, et al.
Computers in Biology and Medicine|March 3, 2023
Spatio-temporal deep forest for emotion recognition based on facial electromyography signalsMuhua Xu, Juan Cheng, Chang Li, et al.
IEEE Journal of Biomedical and Health Informatics|October 11, 2013
A three-step multimodal analysis framework for modeling corticomuscular activity with application to Parkinson's diseaseXun Chen, Z Jane Wang, Martin J McKeown
Computational and Mathematical Methods in Medicine|December 31, 2019
Green Fluorescent Protein and Phase-Contrast Image Fusion via Generative Adversarial NetworksWei Tang, Yu Liu, Chao Zhang, et al.
Microscopy Research and Technique|May 31, 2020
A phase congruency-based green fluorescent protein and phase contrast image fusion method in nonsubsampled shearlet transform domainWei Tang, Yu Liu, Juan Cheng, et al.
Computers in Biology and Medicine|December 26, 2022
TC-Net: A Transformer Capsule Network for EEG-based emotion recognitionYi Wei, Yu Liu, Chang Li, et al.
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