Brain Medical Image Fusion Based on Dual‐Branch CNNs in NSST Domain Z Ding, D Zhou, R Nie, R Hou, Y Liu BioMed research international 2020 (1), 6265708, 2020 | 33 | 2020 |
Siamese networks and multi-scale local extrema scheme for multimodal brain medical image fusion Z Ding, D Zhou, H Li, R Hou, Y Liu Biomedical Signal Processing and Control 68, 102697, 2021 | 30 | 2021 |
Robust spiking cortical model and total-variational decomposition for multimodal medical image fusion Y Liu, D Zhou, R Nie, R Hou, Z Ding, Y Guo, J Zhou Biomedical Signal Processing and Control 61, 101996, 2020 | 24 | 2020 |
CIRNet: An improved RGBT tracking via cross-modality interaction and re-identification W Xia, D Zhou, J Cao, Y Liu, R Hou Neurocomputing 493, 327-339, 2022 | 16 | 2022 |
Asymmetric global–local mutual integration network for RGBT tracking J Mei, Y Liu, C Wang, D Zhou, R Nie, J Cao IEEE Transactions on Instrumentation and Measurement 71, 1-17, 2022 | 15 | 2022 |
CMFA_Net: A cross-modal feature aggregation network for infrared-visible image fusion Z Ding, H Li, D Zhou, H Li, Y Liu, R Hou Infrared Physics & Technology 118, 103905, 2021 | 15 | 2021 |
Multimodal medical image fusion based on the spectral total variation and local structural patch measurement Y Liu, R Hou, D Zhou, R Nie, Z Ding, Y Guo, L Zhao International Journal of Imaging Systems and Technology 31 (1), 391-411, 2021 | 14 | 2021 |
Construction of high dynamic range image based on gradient information transformation Y Liu, D Zhou, R Nie, R Hou, Z Ding IET Image Processing 14 (7), 1327-1338, 2020 | 14 | 2020 |
A robust infrared and visible image fusion framework via multi-receptive-field attention and color visual perception Z Ding, H Li, D Zhou, Y Liu, R Hou Applied Intelligence 53 (7), 8114-8132, 2023 | 13 | 2023 |
M4fnet: Multimodal medical image fusion network via multi-receptive-field and multi-scale feature integration Z Ding, H Li, Y Guo, D Zhou, Y Liu, S Xie Computers in Biology and Medicine 159, 106923, 2023 | 11 | 2023 |
AEMS: an attention enhancement network of modules stacking for lowlight image enhancement M Li, L Zhao, D Zhou, R Nie, Y Liu, Y Wei The Visual Computer 38 (12), 4203-4219, 2022 | 10 | 2022 |
TSE_Fuse: Two stage enhancement method using attention mechanism and feature-linking model for infrared and visible image fusion Y Liu, D Zhou, R Nie, Z Ding, Y Guo, X Ruan, W Xia, R Hou Digital Signal Processing 123, 103387, 2022 | 9 | 2022 |
Gated residual neural networks with self-normalization for translation initiation site recognition Y Guo, D Zhou, J Cao, R Nie, X Ruan, Y Liu Knowledge-Based Systems 237, 107783, 2022 | 9 | 2022 |
Brain CT and MRI medical image fusion scheme Using NSST And Dictionary Learning Y Liu, D Zhou, R Nie, R Hou, Z Ding, R Xie 2018 IEEE 4th International Conference on Computer and Communications (ICCC …, 2018 | 9 | 2018 |
Multi-spectral color vision fusion jointly with two-stream feature interaction and color transformation network Z Ding, H Li, D Zhou, Y Liu, R Hou Digital Signal Processing 133, 103875, 2023 | 7 | 2023 |
AMBCR: Low‐light image enhancement via attention guided multi‐branch construction and Retinex theory M Li, D Zhou, R Nie, S Xie, Y Liu IET Image Processing 15 (9), 2020-2038, 2021 | 7 | 2021 |
An improved hybrid network with a transformer module for medical image fusion Y Liu, Y Zang, D Zhou, J Cao, R Nie, R Hou, Z Ding, J Mei IEEE Journal of Biomedical and Health Informatics 27 (7), 3489-3500, 2023 | 6 | 2023 |
Green fluorescent protein and phase contrast image fusion via Spectral TV filter-based decomposition Y Liu, D Zhou, R Nie, R Hou, Z Ding, W Xia, M Li Biomedical Signal Processing and Control 79, 104265, 2023 | 3 | 2023 |
X Modality Assisting RGBT Object Tracking Z Ding, H Li, R Hou, Y Liu, S Xie, D Zhou, J Cao arXiv preprint arXiv:2312.17273, 2023 | 1 | 2023 |
PSMFF: A progressive series-parallel modality feature filtering framework for infrared and visible image fusion S Xie, H Li, Z Wang, D Zhou, Z Ding, Y Liu Digital Signal Processing 134, 103881, 2023 | 1 | 2023 |