Defu Qiu

Orcid: 0000-0003-4921-9145

According to our database1, Defu Qiu authored at least 24 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
MsDGCN: multi-scale diffusion graph convolutional network for the prediction of drug-disease association.
J. Comput. Aided Mol. Des., December, 2026

Community detection based on community structure enhancement and multi-objective particle swarm optimization.
Int. J. Data Sci. Anal., December, 2026

CCDM: Continuous-Time Conditional Diffusion Model for Blind CMRI Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol., May, 2026

UMIC: Super-Resolution of Cine Cardiac MRI Using U-Shaped Network With Multi-Level Information Compensation.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2026

scFNSA: A Factorized Node-Set Attentive Framework for Single-Cell Multi-Omics Integration.
J. Chem. Inf. Model., 2026

TumorNet: A hybrid lightweight framework for brain tumor classification and reasoning.
Inf. Sci., 2026

Secure federated learning based on multi-round critical parameters.
Neurocomputing, 2026

MAAN: multi-scale atrous attention network for skin lesion segmentation.
Complex Intell. Syst., 2026

2025
Region-Wise MRI Analysis Reveals Posterior Parietal Atrophy as an Early Dementia Biomarker and Highlights Nonlinear Progression Across Cognitive Stages.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
ABSR: Progressive Alternate Refinement for Blind Cardiac MRI Super-Resolution.
IEEE Internet Things J., October, 2024

Parallel Alternating Iterative Optimization for Cardiac Magnetic Resonance Image Blind Super-Resolution.
IEEE J. Biomed. Health Informatics, September, 2024

DBSR: Quadratic Conditional Diffusion Model for Blind Cardiac MRI Super-Resolution.
IEEE Trans. Multim., 2024

2023
Medical image super-resolution reconstruction algorithms based on deep learning: A survey.
Comput. Methods Programs Biomed., August, 2023

Progressive Feedback Residual Attention Network for Cardiac Magnetic Resonance Imaging Super-Resolution.
IEEE J. Biomed. Health Informatics, July, 2023

Channel attention generative adversarial network for super-resolution of glioma magnetic resonance image.
Comput. Methods Programs Biomed., February, 2023

Residual Dense Attention Networks for COVID-19 Computed Tomography Images Super Resolution.
IEEE Trans. Cogn. Dev. Syst., 2023

2022
Improved generative adversarial network for retinal image super-resolution.
Comput. Methods Programs Biomed., 2022

End-to-end residual attention mechanism for cataractous retinal image dehazing.
Comput. Methods Programs Biomed., 2022

Dual U-Net residual networks for cardiac magnetic resonance images super-resolution.
Comput. Methods Programs Biomed., 2022

2021
Multiple improved residual networks for medical image super-resolution.
Future Gener. Comput. Syst., 2021

Residual dense network for medical magnetic resonance images super-resolution.
Comput. Methods Programs Biomed., 2021

Multi-window back-projection residual networks for reconstructing COVID-19 CT super-resolution images.
Comput. Methods Programs Biomed., 2021

Gradual back-projection residual attention network for magnetic resonance image super-resolution.
Comput. Methods Programs Biomed., 2021

2020
Super-resolution reconstruction of knee magnetic resonance imaging based on deep learning.
Comput. Methods Programs Biomed., 2020


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