Junqi Wang

Orcid: 0000-0001-6178-1398

Affiliations:
  • Cincinnati Children's Hospital Medical Center, Imaging research center, Department of Radiology, OH, USA
  • Tulane University, Department of Biomedical Engineering, USA


According to our database1, Junqi Wang authored at least 10 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks.
IEEE Trans. Medical Imaging, April, 2024

Supervised contrastive learning enhances graph convolutional networks for predicting neurodevelopmental deficits in very preterm infants using brain structural connectome.
NeuroImage, 2024

Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies.
CoRR, 2024

DFC-Igloo: A dynamic functional connectome learning framework for identifying neurodevelopmental biomarkers in very preterm infants.
Comput. Methods Programs Biomed., 2024

2023
Dynamic weighted hypergraph convolutional network for brain functional connectome analysis.
Medical Image Anal., 2023

2022
Brain Functional Connectivity Analysis via Graphical Deep Learning.
IEEE Trans. Biomed. Eng., 2022

2021
Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction.
IEEE Trans. Biomed. Eng., 2021

2020
Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data.
IEEE Trans. Medical Imaging, 2020

Graph Laplacian learning based Fourier Transform for brain network analysis with resting state fMRI.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2018
Integration of network topological features and graph Fourier transform for fMRI data analysis.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018


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