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ORCIDJunqi Wang 0001
Person information
- affiliation: Cincinnati Children's Hospital Medical Center, Imaging research center, Department of Radiology, OH, USA
- affiliation: Tulane University, Department of Biomedical Engineering, USA
Other persons with the same name
- Junqi Wang — disambiguation page
- Junqi Wang 0002 — Rutgers University, Department of Mathamatics and Computer Science, Newark, NJ, USA
- Junqi Wang 0003
![[0000-0001-8843-7781]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-8843-7781")
— City University of Hong Kong, Division of Building Science and Technology, Department of Architecture and Civil Engineering, Hong Kong
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2020 – today
- 2024
[j7]Junqi Wang, Hailong Li, Kim M. Cecil, Mekibib Altaye, Nehal A. Parikh, Lili He:
DFC-Igloo: A dynamic functional connectome learning framework for identifying neurodevelopmental biomarkers in very preterm infants. Comput. Methods Programs Biomed. 257: 108479 (2024)- [j6]Hailong Li, Junqi Wang, Zhiyuan Li, Kim M. Cecil, Mekibib Altaye, Jonathan R. Dillman, Nehal A. Parikh, Lili He:
Supervised contrastive learning enhances graph convolutional networks for predicting neurodevelopmental deficits in very preterm infants using brain structural connectome. NeuroImage 291: 120579 (2024) - [j5]Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Kun Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang:
Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks. IEEE Trans. Medical Imaging 43(4): 1568-1578 (2024) - [i1]Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Aiying Zhang, Zhengming Ding, Yu-Ping Wang:
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies. CoRR abs/2401.10348 (2024) - 2023
- [j4]Junqi Wang, Hailong Li, Gang Qu, Kim M. Cecil, Jonathan R. Dillman, Nehal A. Parikh, Lili He:
Dynamic weighted hypergraph convolutional network for brain functional connectome analysis. Medical Image Anal. 87: 102828 (2023) - 2022
- [j3]Gang Qu, Wenxing Hu, Li Xiao, Junqi Wang, Yuntong Bai, Beenish Patel, Kun Zhang, Yu-Ping Wang:
Brain Functional Connectivity Analysis via Graphical Deep Learning. IEEE Trans. Biomed. Eng. 69(5): 1696-1706 (2022) - 2021
- [j2]Gang Qu, Li Xiao, Wenxing Hu, Junqi Wang, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang:
Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction. IEEE Trans. Biomed. Eng. 68(12): 3564-3573 (2021) - 2020
- [j1]Li Xiao, Junqi Wang, Peyman Hosseinzajeh Kassani, Yipu Zhang, Yuntong Bai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data. IEEE Trans. Medical Imaging 39(5): 1746-1758 (2020) - [c2]Junqi Wang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
Graph Laplacian learning based Fourier Transform for brain network analysis with resting state fMRI. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171G
2010 – 2019
- 2018
- [c1]Junqi Wang, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang:
Integration of network topological features and graph Fourier transform for fMRI data analysis. ISBI 2018: 92-96
Coauthor Index
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