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ORCIDQianqian Wang 0004
Person information
- affiliation: University of North Carolina at Chapel Hill, Department of Radiology and BRIC, Chapel Hill, NC, USA
- affiliation: Liaocheng University, School of Mathematics Science, Liaocheng, China
Other persons with the same name
- Qianqian Wang (aka: Qian-Qian Wang) — disambiguation page
- Qianqian Wang 0001
![[0000-0001-8217-5952]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-8217-5952")
— Xidian University, School of Telecommunications Engineering, X'ian China (and 1 more) - Qianqian Wang 0002 — University of California, Berkeley, CA, USA (and 2 more)
- Qianqian Wang 0003 — Southeast University, School of Mechanical Engineering, Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Nanjing, China (and 1 more)
- Qianqian Wang 0005 — Northwest Normal University, College of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Short-Range Wireless Detection and Communication, Lanzhou, China (and 2 more)
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2020 – today
- 2025
[j5]Yuqi Fang, Jinjian Wu, Qianqian Wang, Shijun Qiu, Andrea Bozoki, Mingxia Liu:
Source-free collaborative domain adaptation via multi-perspective feature enrichment for functional MRI analysis. Pattern Recognit. 157: 110912 (2025)- 2024
- [j4]Junhao Zhang, Qianqian Wang, Xiaochuan Wang, Lishan Qiao, Mingxia Liu:
Preserving specificity in federated graph learning for fMRI-based neurological disorder identification. Neural Networks 169: 584-596 (2024) - [j3]Linmin Wang, Qianqian Wang, Xiaochuan Wang, Yunling Ma, Limei Zhang, Mingxia Liu:
Triplet-constrained deep hashing for chest X-ray image retrieval in COVID-19 assessment. Neural Networks 173: 106182 (2024) - [j2]Qianqian Wang, Wei Wang, Yuqi Fang, Pew-Thian Yap, Hongtu Zhu, Hong-Jun Li, Lishan Qiao, Mingxia Liu:
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI. IEEE Trans. Biomed. Eng. 71(8): 2391-2401 (2024) - [i5]Yuqi Fang, Junhao Zhang, Linmin Wang, Qianqian Wang, Mingxia Liu:
ACTION: Augmentation and Computation Toolbox for Brain Network Analysis with Functional MRI. CoRR abs/2405.06178 (2024) - [i4]Yunling Ma, Chaojun Zhang, Xiaochuan Wang, Qianqian Wang, Liang Cao, Limei Zhang, Mingxia Liu:
Augmentation-based Unsupervised Cross-Domain Functional MRI Adaptation for Major Depressive Disorder Identification. CoRR abs/2406.00085 (2024) - 2023
- [c4]Qianqian Wang, Mengqi Wu, Yuqi Fang, Wei Wang, Lishan Qiao, Ming-Xia Liu:
Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRI. MICCAI (1) 2023: 46-56 - [c3]Junhao Zhang, Xiaochuan Wang, Qianqian Wang, Lishan Qiao, Mingxia Liu:
Specificity-Aware Federated Graph Learning for Brain Disorder Analysis with Functional MRI. MLMI@MICCAI (2) 2023: 43-52 - [c2]Linmin Wang, Qianqian Wang, Xiaochuan Wang, Yunling Ma, Lishan Qiao, Mingxia Liu:
Triplet Learning for Chest X-Ray Image Search in Automated COVID-19 Analysis. MLMI@MICCAI (2) 2023: 407-416 - [i3]Qianqian Wang, Wei Wang, Yuqi Fang, Pew-Thian Yap, Hongtu Zhu, Hong-Jun Li, Lishan Qiao, Mingxia Liu:
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI. CoRR abs/2306.14080 (2023) - [i2]Junhao Zhang, Qianqian Wang, Xiaochuan Wang, Lishan Qiao, Mingxia Liu:
Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification. CoRR abs/2308.10302 (2023) - [i1]Yuqi Fang, Jinjian Wu, Qianqian Wang, Shijun Qiu, Andrea Bozoki, Huaicheng Yan, Mingxia Liu:
Source-Free Collaborative Domain Adaptation via Multi-Perspective Feature Enrichment for Functional MRI Analysis. CoRR abs/2308.12495 (2023) - 2022
- [j1]Qianqian Wang, Long Li, Lishan Qiao, Mingxia Liu:
Adaptive Multimodal Neuroimage Integration for Major Depression Disorder Detection. Frontiers Neuroinformatics 16: 856175 (2022) - [c1]Qianqian Wang, Lishan Qiao, Mingxia Liu:
Function MRI Representation Learning via Self-supervised Transformer for Automated Brain Disorder Analysis. MLMI@MICCAI 2022: 1-10
Coauthor Index
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