Rongtao Jiang — accepted AI-conference papers

2025

Adaptive-Similarity-Based Brain Dynamic Functional Connectivity with Spatial-Temporal Attention and Domain Adaptation for Schizophrenia Diagnosis

Yixin Ji, Vince D. Calhoun, Rongtao Jiang, Daoqiang Zhang, Shile Qi

ICASSP 2025accepted

Dynamic functional connectivity (DFC) can capture the neural activity changes over time in the brain. Most existing DFC constructions rely on sliding windows, which can be highly impacted by window type and width. In addition, previous methods fail to fully optimize for discriminative spatial-tempor…

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2025

Cooperative and Competitive Functional Connectivity Based on Improved Ising Model

Gengqian Wei, Chuang Liang, Tülay Adali, Rongtao Jiang, Daoqiang Zhang, Vince D. Calhoun +1

ICASSP 2025accepted

As a highly interconnected complex network system, the brain exhibits changes in interactions due to common brain disorders. Studying changes in brain network interactions can help us quantitatively analyze functional network patterns and changes in these patterns that are linked to brain disorders.…

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2025

Reference-Guided Parallel Independent Component Analysis: Estimating Cognition Associated Multimodal Patterns In Schizophrenia

Jingxian Hu, Chuang Liang, Tülay Adali, Qi Zhu, Daoqiang Zhang, Rongtao Jiang +2

ICASSP 2025accepted

Multimodal fusion provides cross-modality information to understand the human brain from different perspectives that may be missed in single modality analysis. Supervised fusion focuses on extracting multimodal patterns related to specific clinical measures by further incorporating a prior intereste…

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