1 citations · 1 across the 4 of their papers we have counts for
5 papers
MindVLM: Neural-Grounded Visual Captioning via Subject-Aware Semantic Evidence Selection
Zixiang Yin, Yu-Ping Wang, Zhengming Ding
Translating visual brain activity into natural language offers a powerful window into human cognition and neural semantic representation. Most prior brain-captioning approaches pro…
Why Does It Look There? Structured Explanations for Image Classification
Jiarui Li, Zixiang Yin, Samuel J Landry +2
Deep learning models achieve remarkable predictive performance, yet their black-box nature limits transparency and trustworthiness. Although numerous explainable artificial intelli…
A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds
Anton Orlichenko, Gang Qu, Ziyu Zhou +7
Objective: fMRI and derived measures such as functional connectivity (FC) have been used to predict brain age, general fluid intelligence, psychiatric disease status, and preclinic…
An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis
Ziyu Zhou, Anton Orlichenko, Gang Qu +4
Both functional and structural magnetic resonance imaging (fMRI and sMRI) are widely used for the diagnosis of mental disorder. However, combining complementary information from th…
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies
Gang Qu, Anton Orlichenko, Junqi Wang +5
Functional connectivity (FC) as derived from fMRI has emerged as a pivotal tool in elucidating the intricacies of various psychiatric disorders and delineating the neural pathways…