Qiang Li

Orcid: 0000-0002-5337-0676

Affiliations:
  • Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
  • University of Valencia, Image Processing Laboratory, Valencia, Spain (PhD 2023)


According to our database1, Qiang Li authored at least 13 papers between 2020 and 2025.

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

Timeline

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Bibliography

2025
Hybrid Dynamic High-Order Functional Correlations and Divisive Normalization for Improved Classification of Schizophrenia and Bipolar Disorder.
Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, 2025

Correlation of Correlation Networks: High-Order Interactions in the Topology of Brain Networks.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

The Dynamics of Triple Interactions in Resting FMRI: Insights Into Psychotic Disorders.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024
Functional connectivity via total correlation: Analytical results in visual areas.
Neurocomputing, February, 2024

From sight to insight: A multi-task approach with the visual language decoding model.
Inf. Fusion, 2024

Complexity Measures of Psychotic Brain Activity In The FMRI Signal.
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2024

2023
Saliency prediction based on multi-channel models of visual processing.
Mach. Vis. Appl., July, 2023

Corrigendum to "Functional connectivity inference from fMRI data using multivariate information measures" [Neural Networks 146 (2022) 85-97].
Neural Networks, April, 2023

Higher-Order Organization in the Human Brain From Matrix-Based Rényi's Entropy.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Functional Connectome of the Human Brain with Total Correlation.
Entropy, December, 2022

Functional connectivity inference from fMRI data using multivariate information measures.
Neural Networks, 2022

2021
Bidirected Information Flow in the High-Level Visual Cortex.
Proceedings of the Brain Informatics - 14th International Conference, 2021

2020
Canonical Retina-to-Cortex Vision Model Ready for Automatic Differentiation.
Proceedings of the Brain Informatics - 13th International Conference, 2020


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