Yuanwang Zhang | University of Pennsylvania, Philadelphia, USA

About Me

I’m a 1st year PhD student at University of Pennsylvania, supervised by Prof. Yong Fan. Previously, I received my Master’s degrees in Computer Science and Technology from ShanghaiTech University, supevised by Prof. Dinggang Shen.

My research interests include medical image analysis and computer-aided diagnosis. I mainly work on multimodal fusion for brain disease diganosis and image-to-image translation for medical image in the past two years.

News

[Jan. 2025] Our paper about Amyloid-beta prediction is accepted by IEEE TMI.
[Sep. 2024] Our paper about Multimodal AD diagnosis is accepted by IEEE JBHI.
[July. 2024] Our paper about AD diagnosis with missing modality is accepted by Communication Engineering.

Publications

Amyloid-β Deposition Prediction with Large Language Model Driven and Task Oriented Learning of Brain Functional Networks

Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Yihui Guan, Qihao Guo, Fang Xie, Dinggang Shen

IEEE Transactions on Medical Imaging, 2025

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A Progressive Single-Modality to Multi-modality Classification Framework for Alzheimer’s Disease Sub-type Diagnosis

Yuxiao Liu*, Mianxin Liu*, Yuanwang Zhang, Kaicong Sun, Dinggang Shen

International Workshop on Machine Learning in Clinical Neuroimaging (MLCN), 2024

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A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer’s Disease Diagnosis

Zaixin Ou, Caiwen Jiang, Yuxiao Liu, Yuanwang Zhang, Zhiming Cui, Dinggang Shen

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024

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IEEE JBHI

A Modality-Flexible Framework for Alzheimer's Disease Diagnosis Following Clinical Routine

Yuanwang Zhang, Kaicong Sun, Yuxiao Liu, Fang Xie, Qihao Guo, Dinggang Shen

IEEE Journal of Biomedical and Health Informatics (JBHI), 2024

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Communication Engineering

Achieving multi-modal brain disease diagnosis performance using only single-modal images through generative AI

Kaicong Sun, Yuanwang Zhang, Jiameng Liu, Ling Yu, Yan Zhou, Fang Xie, Qihao Guo, Han Zhang, Qian Wang, Dinggang Shen

Communication Engineering, 2024

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A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRI

Zaixin Ou, Caiwen Jiang, Yongsheng Pan, Yuanwang Zhang, Zhiming Cui, Dinggang Shen

International Joint Conference on Artificial Intelligence, 2024

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MLMI

Vector Quantized Multi-modal Guidance for Alzheimer’s Disease Diagnosis Based on Feature Imputation

Yuanwang Zhang, Kaicong Sun, Yuxiao Liu, Zaixin Ou, Dinggang Shen

International Workshop on Machine Learning in Medical Imaging (MLMI), 2023

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Development and Fast Transferring of General Connectivity-Based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-Learner

Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Dinggang Shen

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023

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ISBI

Transformer-Based Multimodal Fusion for Early Diagnosis of Alzheimer's Disease Using Structural MRI And PET

Yuanwang Zhang, Kaicong Sun, Yuxiao Liu, Dinggang Shen

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)

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Learning Hierarchical-Order Functional Connectivity Networks for Mild Cognitive Impairment Diagnosis

Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Dinggang Shen

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)

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