Author

Hong-Fei Lin

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Conference Open access Sep 2026

BrainCGT: A Brain Graph Transformer for Modeling Causal Connectivity in Neurological Disorder Diagnosis

Experimental results on three large-scale fMRI datasets demonstrate that BrainCGT achieves consistently better performance than existing graph-based methods for neurological disorder classification, highlighting the importance of incorporating causal directionality into brain graph transformer architectures for robust...

Ahsan Shehzad, Dong-Yu Zhang, Shagufta Abid et al. · Proceedings of the Thirty-Fi... · 0 citations

Conference Open access Sep 2026

MedVCoT: Bridging the Modality Gap in Medical VQA Through Latent Visual Reasoning

This work proposes MedVCoT, which incorporates latent visual reasoning into the medical visual question answering (VQA) domain, and utilizes the specialized expertise of MedSAM to train a large vision-language model so that it can autonomously generate consistent and continuous latent visual tokens within Visual Chain-...

Bo Xu, Quan-Hao Zhu, Bo-Lin Zhu et al. · Proceedings of the Thirty-Fi... · 1 citation