Gang Qu - RankMe

30 papers Misc 2Journal 25Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A deep spatio-temporal architecture for dynamic ECN analysis with Granger causality based causal discovery. Pattern Recognit. Faming Xu, Yiding Wang, Gang Qu, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yuping Wang, Chen Qiao
2026	J	`jnl`	DDS-UDA: Dual-Domain Synergy for Unsupervised Domain Adaptation in Joint Segmentation of Optic Disc and Optic Cup. CoRR Yusong Xiao, Yuxuan Wu, Li Xiao, Gang Qu, Haiye Huo, Yu-Ping Wang
2026	J	`jnl`	DDS-UDA: Dual-domain synergy for unsupervised domain adaptation in joint segmentation of optic disc and optic cup. Medical Image Anal. Yusong Xiao, Yuxuan Wu, Li Xiao, Gang Qu, Haiye Huo, Yu-Ping Wang
2026	J	`jnl`	MethConvTransformer: A Deep Learning Framework for Cross-Tissue Alzheimer's Disease Detection. CoRR Gang Qu, Guanghao Li, Zhongming Zhao
2025	J	`jnl`	A Deep Spatio-Temporal Architecture for Dynamic Effective Connectivity Network Analysis Based on Dynamic Causal Discovery. CoRR Faming Xu, Yiding Wang, Chen Qiao, Gang Qu, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
2025	Misc	`conf`	A Graph-Based Generative Adversarial Network Model for Inferring Task-State from Resting-State Functional Connectivity Networks. ICASSP Tao Jin, Hongzheng Guan, Li Xiao, Gang Qu, Yu-Ping Wang
2025	J	`jnl`	BrainGeneBot: a framework for variant prioritization and generative pretrained transformer-informed interpretation across polygenic risk score studies. Briefings Bioinform. Gang Qu, Nitesh Enduru, Xinyi Liu, Xiaoqian Jiang, Zhongming Zhao
2025	J	`jnl`	Integrated brain connectivity analysis with fMRI, DTI, and sMRI powered by interpretable graph neural networks. Medical Image Anal. Gang Qu, Ziyu Zhou, Vince D. Calhoun, Aiying Zhang, Yu-Ping Wang
2025	J	`jnl`	Personalized Federated Dictionary Learning for Modeling Heterogeneity in Multi-site fMRI Data. CoRR Yipu Zhang, Chengshuo Zhang, Ziyu Zhou, Gang Qu, Hao Zheng, Yuping Wang, Hui Shen, Hong-Wen Deng
2025	Misc	`conf`	Spatio-Temporal Mapping Generative Adversarial Network for Functional Connectivity Network Reconstruction across Brain Atlases. ICASSP Hongzheng Guan, Tao Jin, Li Xiao, Gang Qu, Yu-Ping Wang
2025	—	`conf`	Thought Graph: Balancing Specificity and Uncertainty in LLM-Based Gene Set Annotation. ICHI Kyle Cox, Gang Qu, Chi-Yang Hsu, Jiawei Xu, Yingtong Zhou, Zhen Tan, Mengzhou Hu, Tianlong Chen, Ziniu Hu, Zhongming Zhao, Ying Ding
2024	J	`jnl`	A Deep Dynamic Causal Learning Model to Study Changes in Dynamic Effective Connectivity During Brain Development. IEEE Trans. Biomed. Eng. Yingying Wang, Chen Qiao, Gang Qu, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
2024	J	`jnl`	A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds. CoRR Anton Orlichenko, Gang Qu, Ziyu Zhou, Anqi Liu, Hong-Wen Deng, Zhengming Ding, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2024	J	`jnl`	An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis. CoRR Ziyu Zhou, Anton Orlichenko, Gang Qu, Zening Fu, Vince D. Calhoun, Zhengming Ding, Yu-Ping Wang
2024	J	`jnl`	Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development. NeuroImage Longyun Chen, Chen Qiao, Kai Ren, Gang Qu, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
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`	Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural Networks. CoRR Gang Qu, Ziyu Zhou, Vince D. Calhoun, Aiying Zhang, 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`	Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis. Medical Image Anal. Wei Wang, Li Xiao, Gang Qu, Vince D. Calhoun, Yu-Ping Wang, Xiaoyan Sun
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
2023	J	`jnl`	Latent Similarity Identifies Important Functional Connections for Phenotype Prediction. IEEE Trans. Biomed. Eng. Anton Orlichenko, Gang Qu, Gemeng Zhang, Binish Patel, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
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
2022	J	`jnl`	Deep Learning in Neuroimaging: Promises and challenges. IEEE Signal Process. Mag. Weizheng Yan, Gang Qu, Wenxing Hu, Anees Abrol, Biao Cai, Chen Qiao, Sergey M. Plis, Yu-Ping Wang, Jing Sui, Vince D. Calhoun
2022	J	`jnl`	Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies. IEEE Trans. Biomed. Eng. Li Xiao, Biao Cai, Gang Qu, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2022	—	`conf`	Phenotype guided interpretable graph convolutional network analysis of fMRI data reveals changing brain connectivity during adolescence. Biomedical Applications in Molecular, Structural, and Functional Imaging Anton Orlichenko, Gang Qu, 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
2021	J	`jnl`	Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction. CoRR Gang Qu, Li Xiao, Wenxing Hu, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang
2021	J	`jnl`	Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition. IEEE Trans. Medical Imaging Wenxing Hu, Xianghe Meng, Yuntong Bai, Aiying Zhang, Gang Qu, Biao Cai, Gemeng Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
2020	—	`conf`	A graph deep learning model for the classification of groups with different IQ using resting state fMRI. Biomedical Applications in Molecular, Structural, and Functional Imaging Gang Qu, Wenxing Hu, Li Xiao, Yu-Ping Wang
2020	J	`jnl`	Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis. Medical Image Anal. Xiaoshuang Shi, Hai Su, Fuyong Xing, Yun Liang, Gang Qu, Lin Yang