Qianqian Wang
Orcid: 0000-0002-0221-3320Affiliations:
- 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 16 papers
between 2022 and 2025.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on scopus.com
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Bibliography
2025
Source-free collaborative domain adaptation via multi-perspective feature enrichment for functional MRI analysis.
Pattern Recognit., 2025
ACTION: Augmentation and computation toolbox for brain network analysis with functional MRI.
NeuroImage, 2025
Self-supervised graph contrastive learning with diffusion augmentation for functional MRI analysis and brain disorder detection.
Medical Image Anal., 2025
2024
IEEE Trans. Biomed. Eng., August, 2024
Preserving specificity in federated graph learning for fMRI-based neurological disorder identification.
Neural Networks, January, 2024
Graph Convolutional Network With Self-Supervised Learning for Brain Disease Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
Triplet-constrained deep hashing for chest X-ray image retrieval in COVID-19 assessment.
Neural Networks, 2024
Topology-Aware Graph Augmentation for Predicting Clinical Trajectories in Neurocognitive Disorders.
CoRR, 2024
Augmentation-based Unsupervised Cross-Domain Functional MRI Adaptation for Major Depressive Disorder Identification.
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
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
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