Junqi Wang

11 papers Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Altered neurobehavioral white matter integrity in preterm children: A confounding-controlled analysis using the adolescent brain and cognitive development (ABCD) study.
NeuroImage
Hailong Li, Yuwen Hung, Junqi Wang, Nicole Rudberg, Nehal A. Parikh, Lili He
2024 J jnl
DFC-Igloo: A dynamic functional connectome learning framework for identifying neurodevelopmental biomarkers in very preterm infants.
Comput. Methods Programs Biomed.
Junqi Wang, Hailong Li, Kim M. Cecil, Mekibib Altaye, Nehal A. Parikh, Lili He
2024 J jnl
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies.
CoRR
Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Aiying Zhang, Zhengming Ding, Yu-Ping Wang
2024 J jnl
Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks.
IEEE Trans. Medical Imaging
Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Kun Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
2024 J jnl
Supervised contrastive learning enhances graph convolutional networks for predicting neurodevelopmental deficits in very preterm infants using brain structural connectome.
NeuroImage
Hailong Li, Junqi Wang, Zhiyuan Li, Kim M. Cecil, Mekibib Altaye, Jonathan R. Dillman, Nehal A. Parikh, Lili He
2023 J jnl
Dynamic weighted hypergraph convolutional network for brain functional connectome analysis.
Medical Image Anal.
Junqi Wang, Hailong Li, Gang Qu, Kim M. Cecil, Jonathan R. Dillman, Nehal A. Parikh, Lili He
2022 J jnl
Brain Functional Connectivity Analysis via Graphical Deep Learning.
IEEE Trans. Biomed. Eng.
Gang Qu, Wenxing Hu, Li Xiao, Junqi Wang, Yuntong Bai, Beenish Patel, Kun Zhang, Yu-Ping Wang
2021 J jnl
Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction.
IEEE Trans. Biomed. Eng.
Gang Qu, Li Xiao, Wenxing Hu, Junqi Wang, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang
2020 — conf
Graph Laplacian learning based Fourier Transform for brain network analysis with resting state fMRI.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Junqi Wang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data.
IEEE Trans. Medical Imaging
Li Xiao, Junqi Wang, Peyman Hosseinzajeh Kassani, Yipu Zhang, Yuntong Bai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2018 — conf
Integration of network topological features and graph Fourier transform for fMRI data analysis.
ISBI
Junqi Wang, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang