Qianqian Wang

Orcid: 0000-0002-0221-3320

Affiliations:
  • University of North Carolina at Chapel Hill, Department of Radiology and BRIC, Chapel Hill, NC, USA
  • Liaocheng University, School of Mathematics Science, Liaocheng, China


According to our database1, Qianqian Wang authored at least 13 papers between 2022 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
Source-free collaborative domain adaptation via multi-perspective feature enrichment for functional MRI analysis.
Pattern Recognit., 2025

2024
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI.
IEEE Trans. Biomed. Eng., August, 2024

Preserving specificity in federated graph learning for fMRI-based neurological disorder identification.
Neural Networks, January, 2024

Triplet-constrained deep hashing for chest X-ray image retrieval in COVID-19 assessment.
Neural Networks, 2024

Augmentation-based Unsupervised Cross-Domain Functional MRI Adaptation for Major Depressive Disorder Identification.
CoRR, 2024

ACTION: Augmentation and Computation Toolbox for Brain Network Analysis with Functional MRI.
CoRR, 2024

Attention-Enhanced Fusion of Structural and Functional MRI for Analyzing HIV-Associated Asymptomatic Neurocognitive Impairment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Source-Free Collaborative Domain Adaptation via Multi-Perspective Feature Enrichment for Functional MRI Analysis.
CoRR, 2023

Specificity-Aware Federated Graph Learning for Brain Disorder Analysis with Functional MRI.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Triplet Learning for Chest X-Ray Image Search in Automated COVID-19 Analysis.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Adaptive Multimodal Neuroimage Integration for Major Depression Disorder Detection.
Frontiers Neuroinformatics, 2022

Function MRI Representation Learning via Self-supervised Transformer for Automated Brain Disorder Analysis.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022


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