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2020 – today
- 2026
[j25]Yang Lian, Ruizhi Han, Shiyuan Han
, Defu Qiu, Jin Zhou:
MAAN: multi-scale atrous attention network for skin lesion segmentation. Complex Intell. Syst. 12(2) (2026)- [j24]Yan Sun, Fanyu Zhang, Mingyuan Bi, Junliang Shang, Defu Qiu, Hanxiang Wang, Jin-Xing Liu:
Community detection based on community structure enhancement and multi-objective particle swarm optimization. Int. J. Data Sci. Anal. 22(1): 145 (2026) - [j23]Zhengyang Zhang, Chunmei Ma, Baogui Huang, Guangshun Li, Zhaofeng Niu, Defu Qiu:
Secure federated learning based on multi-round critical parameters. Neurocomputing 669: 132471 (2026) - [j22]Hanxiang Wang, Muhammad Zaqeem, Muhammad Fayaz, Defu Qiu, Sajjad Ahadzadeh, Tan N. Nguyen, Lien Minh Dang:
TumorNet: A hybrid lightweight framework for brain tumor classification and reasoning. Inf. Sci. 746: 123423 (2026) - [j21]Xiaotong Kong, Yan Sun, Junliang Shang, Xiaohan Zhang, Xiaoqi Tang, Hanxiang Wang, Defu Qiu, Yuanke Zhang, Jin-Xing Liu:
MsDGCN: multi-scale diffusion graph convolutional network for the prediction of drug-disease association. J. Comput. Aided Mol. Des. 40(1): 98 (2026) - [j20]Yan Sun, Xiaoqi Tang, Junliang Shang, Hanxiang Wang, Defu Qiu, Yuanke Zhang, Jin-Xing Liu:
Prediction of multicategory miRNA-disease associations based on bidirectional hypergraph attention network and gated convolutional strategy. J. Comput. Aided Mol. Des. 40(1): 131 (2026) - [j19]Yan Sun, Xiaohan Zhang, Xiaoqi Tang, Defu Qiu, Junliang Shang, Jin-Xing Liu:
MHNNMDA: multi-stage hypergraph neural network for predicting miRNA-disease association types. J. Comput. Aided Mol. Des. 40(1): 138 (2026) - [j18]Shoujia Jiang, Junliang Shang, Defu Qiu, Hanxiang Wang, Jin-Xing Liu:
scFNSA: A Factorized Node-Set Attentive Framework for Single-Cell Multi-Omics Integration. J. Chem. Inf. Model. 66(9): 5558-5572 (2026) - [j17]Defu Qiu, Junliang Shang, Yuanke Zhang, Wenjun Zhang, Kelvin K. L. Wong, Yi Zhang:
CCDM: Continuous-Time Conditional Diffusion Model for Blind CMRI Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 36(5): 6485-6498 (2026) - [j16]Defu Qiu, Kelvin K. L. Wong, Yuhu Cheng, Zhang Yi, Xuesong Wang:
UMIC: Super-Resolution of Cine Cardiac MRI Using U-Shaped Network With Multi-Level Information Compensation. IEEE Trans. Emerg. Top. Comput. Intell. 10(2): 1987-1998 (2026) - 2025
- [c1]Muhammad Ayoub, Hai Zhao, Lifeng Li, Defu Qiu, Yucheng Song:
Region-Wise MRI Analysis Reveals Posterior Parietal Atrophy as an Early Dementia Biomarker and Highlights Nonlinear Progression Across Cognitive Stages. BIBM 2025: 3436-3439 - 2024
- [j15]Defu Qiu, Zhaoyang Song, Wenjun Zhang, Kelvin K. L. Wong, Zhang Yi:
ABSR: Progressive Alternate Refinement for Blind Cardiac MRI Super-Resolution. IEEE Internet Things J. 11(19): 30887-30898 (2024) - [j14]Zhaoyang Song, Defu Qiu, Xiaoqiang Zhao, Ruijuan Liu, Yongyong Hui, Hongmei Jiang:
Parallel Alternating Iterative Optimization for Cardiac Magnetic Resonance Image Blind Super-Resolution. IEEE J. Biomed. Health Informatics 28(9): 5136-5146 (2024) - [j13]Defu Qiu, Yuhu Cheng, Kelvin Kian Loong Wong, Wen-Jun Zhang, Zhang Yi, Xuesong Wang:
DBSR: Quadratic Conditional Diffusion Model for Blind Cardiac MRI Super-Resolution. IEEE Trans. Multim. 26: 11358-11371 (2024) - 2023
- [j12]Zhaoyang Song, Defu Qiu, Xiaoqiang Zhao, Dongmei Lin, Yongyong Hui:
Channel attention generative adversarial network for super-resolution of glioma magnetic resonance image. Comput. Methods Programs Biomed. 229: 107255 (2023) - [j11]Defu Qiu, Yuhu Cheng, Xuesong Wang:
Medical image super-resolution reconstruction algorithms based on deep learning: A survey. Comput. Methods Programs Biomed. 238: 107590 (2023) - [j10]Defu Qiu, Yuhu Cheng, Xuesong Wang:
Residual Dense Attention Networks for COVID-19 Computed Tomography Images Super Resolution. IEEE Trans. Cogn. Dev. Syst. 15(2): 904-913 (2023) - [j9]Defu Qiu, Yuhu Cheng, Xuesong Wang:
Progressive Feedback Residual Attention Network for Cardiac Magnetic Resonance Imaging Super-Resolution. IEEE J. Biomed. Health Informatics 27(7): 3478-3488 (2023) - 2022
- [j8]Defu Qiu, Yuhu Cheng, Xuesong Wang:
Dual U-Net residual networks for cardiac magnetic resonance images super-resolution. Comput. Methods Programs Biomed. 218: 106707 (2022) - [j7]Defu Qiu, Yuhu Cheng, Xuesong Wang:
End-to-end residual attention mechanism for cataractous retinal image dehazing. Comput. Methods Programs Biomed. 219: 106779 (2022) - [j6]Defu Qiu, Yuhu Cheng, Xuesong Wang:
Improved generative adversarial network for retinal image super-resolution. Comput. Methods Programs Biomed. 225: 106995 (2022) - 2021
- [j5]Defu Qiu, Yuhu Cheng, Xuesong Wang, Xiaoqiang Zhang:
Multi-window back-projection residual networks for reconstructing COVID-19 CT super-resolution images. Comput. Methods Programs Biomed. 200: 105934 (2021) - [j4]Defu Qiu, Yuhu Cheng, Xuesong Wang:
Gradual back-projection residual attention network for magnetic resonance image super-resolution. Comput. Methods Programs Biomed. 208: 106252 (2021) - [j3]Dongmei Zhu, Defu Qiu:
Residual dense network for medical magnetic resonance images super-resolution. Comput. Methods Programs Biomed. 209: 106330 (2021) - [j2]Defu Qiu, Lixin Zheng, Jianqing Zhu, Detian Huang:
Multiple improved residual networks for medical image super-resolution. Future Gener. Comput. Syst. 116: 200-208 (2021) - 2020
- [j1]Defu Qiu, Shengxiang Zhang, Ying Liu, Jianqing Zhu, Lixin Zheng:
Super-resolution reconstruction of knee magnetic resonance imaging based on deep learning. Comput. Methods Programs Biomed. 187: 105059 (2020)
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