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20232026
most citedAttention-based 3D CNN with Multi-layer Features for Alzheimer's Disease Diagnosis using Brain Images

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

ReMAP-PET: Beyond Visual Understanding -- Learning Region-Guided Metabolic Alignment Semantics from Brain PET

Dasen Dai, Yanteng Zhang, Shuoqi Li +6

Positron Emission Tomography (PET) reveals brain metabolism and is clinically central to neurodegenerative disease assessment, yet existing 3D brain foundation models treat PET as…

cs.CV2025

Lost in Distortion: Uncovering the Domain Gap Between Computer Vision and Brain Imaging -- A Study on Pretraining for Age Prediction

Yanteng Zhang, Songheng Li, Zeyu Shen +4

Large-scale brain imaging datasets provide unprecedented opportunities for developing domain foundation models through pretraining. However, unlike natural image datasets in comput…

cs.CL2025★ 1 cited

fMRI-LM: Towards a Universal Foundation Model for Language-Aligned fMRI Understanding

Yuxiang Wei, Yanteng Zhang, Xi Xiao +3

Recent advances in multimodal large language models (LLMs) have enabled unified reasoning across images, audio, and video, but extending such capability to brain imaging remains la…

cs.CV2025

Symmetry Interactive Transformer with CNN Framework for Diagnosis of Alzheimer's Disease Using Structural MRI

Zheng Yang, Yanteng Zhang, Xupeng Kou +2

Structural magnetic resonance imaging (sMRI) combined with deep learning has achieved remarkable progress in the prediction and diagnosis of Alzheimer's disease (AD). Existing stud…

eess.IV2023★ 2 cited

Attention-based 3D CNN with Multi-layer Features for Alzheimer's Disease Diagnosis using Brain Images

Yanteng Zhang, Qizhi Teng, Xiaohai He +4

Structural MRI and PET imaging play an important role in the diagnosis of Alzheimer's disease (AD), showing the morphological changes and glucose metabolism changes in the brain re…