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Selected Publications

Full list of publications can be found on Google Scholar.
AI for Brain Aging and Brain Disease
2024
Pharmacological Research
Disease2Vec: Representing Alzheimer’s Progression via Disease Embedding Tree
Zhang, L., Wang, L., Liu, T., and Zhu, D.
Pharmacological Research 2024 (IF: 9.3)
2023
MICCAI'23
Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study
Zhang, L., Na, S., Liu, T., Zhu, D. and Huang, J.
MICCAI 2023.
NIH-MICCAI Student-Author Registration (STAR) Award; Early Accepted (13.6%); Oral
ISBI'23
Representative Functional Connectivity Learning for Multiple Clinical Groups in Alzheimer’s Disease
Zhang, L., Yu, X., Lyu, Y., Liu, T. and Zhu, D.
ISBI 2023
Psychoradiology
Exploring Alzheimer’s Disease: A Comprehensive Brain Connectome-Based Survey.
Zhang, L.†, Qu, J., Ma, H., Chen, T., Liu, T., and Zhu, D.
Psychoradiology 2023. († corresponding author)
2021
MedIA
Deep fusion of brain structure-function in mild cognitive impairment
Zhang, L., Wang, L., Gao, J., Risacher, S.L., Yan, J., Li, G., Liu, T. and Zhu, D.
Medical Image Analysis 2021 (IF: 13.828)
ISBI'21
Jointly Analyzing Alzheimer’s Disease Related Structure-Function Using Deep Cross-Model Attention Network
Zhang, L., Wang, L., and Zhu, D.
ISBI 2021
Oral
Alzheimer's & Dementia
Free water in T2 FLAIR white matter hyperintensity lesions
Yu, X., Scheel, N., Zhang, L., Zhu, D.C., Zhang, R. and Zhu, D.
Alzheimer’s & Dementia 2021
2020
ISBI'20
Learning Latent Structure Over Deep Fusion Model of Mild Cognitive Impairment.
Wang, L., Zhang, L., and Zhu, D.
ISBI 2020
2019
MLMI'19
A Cascaded Multi-Modality Analysis in Mild Cognitive Impairment.
Zhang, L., Zaman, A., Wang, L., Yan, J. and Zhu, D.
International Workshop on Machine Learning in Medical Imaging (MLMI) 2019 (IF: 13.828)
ISBI'19
Accessing Latent Connectome of Mild Cognitive Impairment via Discriminant Structure Learning.
Wang, L., Zhang, L., and Zhu, D.
ISBI 2019
AI for Uncovering Fundamental Principles of Brain Structure-Function Organization
2025
MedIA
Learning Lifespan Brain Anatomical Correspondence via Cortical Developmental Continuity Transfer.
Zhang, L., Wu, Z., Yu, X., Lyu, Y., Dai, H., Zhao, L., Wang, L., Li, G., Wang, X., Liu, T.*, and Zhu, D.*
Medical Image Analysis 2025 (IF: 13.828)
2024
ISBI'24
Mild Cognitive Impairment Classification Using A Novel Finer-Scale Brain Connectome.
Lyu, Y., Zhang, L., Yu, X., Cao, C., Liu, T., and Zhu, D.
ISBI 2024
ISBI'24
Mild Cognitive Impairment Classification Using A Novel Finer-Scale Brain Connectome.
Cao, C., Yu, X., Zhang, L., Chen, T., Lyu, Y., Liu, T., and Zhu, D.
ISBI 2024
2023
Cerebral Cortex
Cortex2vector: Anatomical Embedding of Cortical Folding Patterns.
Zhang, L., Zhao, L., Liu, D., Wu, Z., Wang, X., Liu, T. and Zhu, D.
Cerebral Cortex 2023 (IF: 5.998)
Cerebral Cortex
Gyral peaks and patterns in human brains.
Zhang, S., Zhang, T., He, Z., Li, X., Zhang, L., Zhu, D., Jiang, X., Liu, T., Han, J. and Guo, L.
Cerebral Cortex 2023 (IF: 5.998)
MICCAI'23
Predicting Diverse Functional Connectivity from Structural Connectivity Based on Multi-contexts Discriminator GAN.
Zhang, S., Zhang, T., He, Z., Li, X., Zhang, L., Zhu, D., Jiang, X., Liu, T., Han, J. and Guo, L.
MICCAI 2023
Early Accepted (13.6%)
2022
MedIA
Predicting brain structural network using functional connectivity
Zhang, L., Wang, L. and Zhu, D.
Medical Image Analysis 2022 (IF: 13.828)
MICCAI'22
Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network.
Yu, X., Hu, D., Zhang, L., Huang, Y., Wu, Z., Liu, T., Wang, L., Lin, W., Zhu, D., and Li. G.
MICCAI 2022
2020
MICCAI'20
Recovering brain structural connectivity from functional connectivity via multi-GCN based generative adversarial network.
Zhang, L., Wang, L. and Zhu, D.
MICCAI 2020
Prestigious Young Scientist Award (Best Paper Award, 4/1809 =0.2%); Early Accepted (13.3%); Oral
2019
MMMI'19
Multi-modal image prediction via spatial hybrid U-Net.
Zaman, A., Zhang, L., Yan, J. and Zhu, D.
International Workshop on Multiscale Multimodal Medical Imaging (MMMI) 2019
Best Oral Paper Award (10%)
Brain Foundation Model/Healthcare Foundation Model
2025
IEEE TBD
Exploring the trade-offs: Unified large language models vs local fine-tuned models for highly-specific radiology nli task.
Wu, Z.*, Zhang, L.*, Cao, C.*, Yu, X., Liu, Z., Zhao, L., ... & Liu, T.
IEEE Transactions on Big Data 2025 (IF: 7.5); (* co-first authors)
2024
IEEE RBME
Artificial General Intelligence for Medical Imaging.
Li, X.*, Zhao, L.*, Zhang, L.*, Wu, Z., Liu, Z., Jiang, H., ... & Shen, D.
IEEE Reviews in Biomedical Engineering 2024 (IF: 17.2); (* co-first authors)
2023
arXiv
Deid-gpt: Zero-shot medical text de-identification by gpt-4.
Liu, Z.*, Yu, X.*, Zhang, L.*, Wu, Z., Cao, C., Dai, H., Zhao, L., Liu, W., Shen, D., Li, Q. and Liu, T.
arXiv preprint arXiv:2303.11032. 2023 (Citation: 191); (* co-first authors)
Information Fusion
Instruction-vit: Multi-modal prompts for instruction learning in vit.
Xiao, Z., Chen, Y., Yao, J., Zhang, L., Yao, J., Wu, Z., Yu, X., ... & Jiang, X.
Information Fusion 2023 (IF: 18.6);
Frontiers in Radiology
Surviving ChatGPT in Healthcare.
Liu, Z., Zhang, L., Wu, Z., Yu, X., Cao, C., Dai, H., Liu, N., Liu, J., Liu, W., Li, Q. and Shen, D.
Frontiers in Radiology 2023
Meta-Radiology
Artificial General Intelligence for Radiation Oncology.
Liu, C., Liu, Z., Holmes, J., Zhang, L., Zhang, L., Ding, Y., Shu, P., Wu, Z., Dai, H., Li, Y. and Shen, D.
Meta-Radiology 2023
arXiv
Segment Anything Model (SAM) for Radiation Oncology.
Zhang, L., Liu, Z., Zhang, L., Wu, Z., Yu, X., Holmes, J., Feng, H., Dai, H., Li, X., Li, Q. and Zhu, D.
arXiv preprint arXiv:2306.11730. 2023 (Citation: 33)
arXiv
valuating large language models for radiology natural language processing.
Liu, Z., Zhong, T., Li, Y., Zhang, Y., Pan, Y., Zhao, Z., ... & Liu, T.
arXiv preprint arXiv:2307.13693. 2023 (Citation: 38)
Brain Inspired AI
2024
IEEE TMI
Core-Periphery Multi-Modality Feature Alignment for Zero-Shot Medical Image Analysis
Yu, X., Zhang, L., Wu, Z., and Zhu, D.
IEEE Transactions on Medical Imaging 2024 (IF: 8.9)
MICCAI'24
Gyri vs. sulci: Core-periphery organization in functional brain networks.
Yu, X., Zhang, L., Cao, C., Chen, T., Lyu, Y., Zhang, J., Liu, T., and Zhu, D.
MICCAI 2024
MICCAI'24
CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis.
Yu, X., Wu, Z., Zhang, L., Zhang, J., Lyu, Y.,and Zhu, D.
MICCAI 2024
IEEE TNNLS
A Unified and Biologically Plausible Relational Graph Representation of Vision Transformers.
hen, Y., Xiao, Z., Du, Y., Zhao, L., Zhang, L., Wu, Z., Zhu, D., Zhang, T., Yao, D., Hu, X. and Liu, T.
IEEE Transactions on Neural Networks and Learning Systems 2024 (IF: 14.255)
2023
Meta-Radiology
When brain-inspired ai meets agi.
Zhao, L.*, Zhang, L.*, Wu, Z., Chen, Y., Dai, H., Yu, X., ... & Liu, T.
Meta-Radiology 2023 (* co-first authors)
IEEE TM
BI-AVAN: A Brain-Inspired Adversarial Visual Attention Network for Characterizing Human Visual Attention From Neural Activity.
Huang, H., Zhao, L., Dai, H., Zhang, L., Hu, X., Zhu, D., & Liu, T.
IEEE Transactions on Multimedia 2023 (IF: 8.4)
IEEE TCDS
Coupling visual semantics of artificial neural networks and human brain function via synchronized activations.
Zhao, L., Dai, H., Wu, Z., Xiao, Z., Zhang, L., Liu, D.W., Hu, X., Jiang, X., Li, S., Zhu, D. and Liu, T.
IEEE Transactions on Cognitive and Developmental Systems 2023 (IF: 4.546)