Liang Zhan - RankMe

126 papers A* 6B 2Journal 55Unranked 63

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aligning Findings with Diagnosis: A Self-Consistent Reinforcement Learning Framework for Trustworthy Radiology Reporting. CoRR Kun Zhao, Siyuan Dai, Pan Wang, Jifeng Song, Hui Ji, Chenghua Lin, Liang Zhan, Haoteng Tang
2026	J	`jnl`	Deep Models, Shallow Alignment: Uncovering the Granularity Mismatch in Neural Decoding. CoRR Yang Du, Siyuan Dai, Yonghao Song, Paul M. Thompson, Haoteng Tang, Liang Zhan
2025	J	`jnl`	BPEN: Brain Posterior Evidential Network for trustworthy brain imaging analysis. Neural Networks Kai Ye, Haoteng Tang, Siyuan Dai, Igor Fortel, Paul M. Thompson, Scott Mackin, Alex D. Leow, Heng Huang, Liang Zhan
2025	—	`conf`	Conditional Neural ODE for Longitudinal Parkinson's Disease Progression Forecasting. BIBM Xiaoda Wang, Yuji Zhao, Kaiqiao Han, Xiao Luo, Sanne van Rooij, Jennifer Stevens, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2025	J	`jnl`	Conditional Neural ODE for Longitudinal Parkinson's Disease Progression Forecasting. CoRR Xiaoda Wang, Yuji Zhao, Kaiqiao Han, Xiao Luo, Sanne van Rooij, Jennifer Stevens, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2025	J	`jnl`	DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation. CoRR Kun Zhao, Bohao Yang, Chen Tang, Siyuan Dai, Haoteng Tang, Chenghua Lin, Liang Zhan
2025	—	`conf`	Emphasising Structured Information: Integrating Abstract Meaning Representation into LLMs for Enhanced Open-Domain Dialogue Evaluation. EMNLP (Findings) Bohao Yang, Kun Zhao, Dong Liu, Chen Tang, Liang Zhan, Chenghua Lin
2025	—	`conf`	End-to-End Deep Learning for Structural Brain Imaging: A Unified Framework. AAAI Spring Symposia Yao Su, Keqi Han, Mingjie Zeng, Lichao Sun, Liang Zhan, Carl Yang, Lifang He, Xiangnan Kong
2025	J	`jnl`	End-to-End Deep Learning for Structural Brain Imaging: A Unified Framework. CoRR Yao Su, Keqi Han, Mingjie Zeng, Lichao Sun, Liang Zhan, Carl Yang, Lifang He, Xiangnan Kong
2025	—	`conf`	Pretraining a Generative AI Model on CBT Sessions to Emulate Human Therapist Strategies: A Study Using the APA Psyctherapy Database. ICDM (Workshops) Fabiha Islam, Kun Zhao, Bart Knijnenburg, Mei-Hsiu Chen, Alex D. Leow, Purushothaman Muthukanagaraj, Liang Zhan, Chao Shi
2025	J	`jnl`	R-GenIMA: Integrating Neuroimaging and Genetics with Interpretable Multimodal AI for Alzheimer's Disease Progression. CoRR Kun Zhao, Siyuan Dai, Yingying Zhang, Guodong Liu, Pengfei Gu, Chenghua Lin, Paul M. Thompson, Alex D. Leow, Heng Huang, Lifang He, Liang Zhan, Haoteng Tang
2025	J	`jnl`	Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help? CoRR Keqi Han, Yao Su, Lifang He, Liang Zhan, Sergey M. Plis, Vince D. Calhoun, Carl Yang
2025	—	`conf`	Who Matters More in Radiology Report Generation: Vision Encoders or Language Models? ICDM (Workshops) Kun Zhao, Yang Du, Rhianna Zhang, Liang Zhan, Dongkuan Xu, Pengfei Gu, Haoteng Tang
2025	—	`conf`	Why Text Prevails: Vision May Undermine Multimodal Medical Decision Making. ICDM (Workshops) Siyuan Dai, Lunxiao Li, Kun Zhao, Eardi Lila, Paul K. Crane, Heng Huang, Dongkuan Xu, Haoteng Tang, Liang Zhan
2025	J	`jnl`	Why Text Prevails: Vision May Undermine Multimodal Medical Decision Making. CoRR Siyuan Dai, Lunxiao Li, Kun Zhao, Eardi Lila, Paul K. Crane, Heng Huang, Dongkuan Xu, Haoteng Tang, Liang Zhan
2025	J	`jnl`	Zeus: Zero-shot LLM Instruction for Union Segmentation in Multimodal Medical Imaging. CoRR Siyuan Dai, Kai Ye, Guodong Liu, Haoteng Tang, Liang Zhan
2025	J	`jnl`	Zeus: zero-shot LLM instruction for union segmentation in multimodal medical imaging. Int. J. Mach. Learn. Cybern. Siyuan Dai, Kai Ye, Guodong Liu, Haoteng Tang, Liang Zhan
2024	J	`jnl`	A Heterogeneous Graph Neural Network Fusing Functional and Structural Connectivity for MCI Diagnosis. CoRR Feiyu Yin, Yu Lei, Siyuan Dai, Wenwen Zeng, Guoqing Wu, Liang Zhan, Jinhua Yu
2024	J	`jnl`	A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases. CoRR Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang, Liang Zhan, Feng Zheng, Weiwen Jiang, Yanfu Zhang
2024	—	`conf`	Brain Image Synthesis Using Incomplete Multimodal Data. ISBI Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang
2024	—	`conf`	BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. BHI Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Ying Guo, Yang Yang, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2024	J	`jnl`	BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. CoRR Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2024	J	`jnl`	Constrained Multiview Representation for Self-supervised Contrastive Learning. CoRR Siyuan Dai, Kai Ye, Kun Zhao, Ge Cui, Haoteng Tang, Liang Zhan
2024	J	`jnl`	Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. IEEE Trans. Neural Networks Learn. Syst. Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhan
2024	A*	`conf`	Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization. KDD Bao Hoang, Yijiang Pang, Siqi Liang, Liang Zhan, Paul M. Thompson, Jiayu Zhou
2024	J	`jnl`	Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization. CoRR Hoang Bao, Yijiang Pang, Siqi Liang, Liang Zhan, Paul M. Thompson, Jiayu Zhou
2024	—	`conf`	Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. MICCAI (2) Haoteng Tang, Guodong Liu, Siyuan Dai, Kai Ye, Kun Zhao, Wenlu Wang, Carl Yang, Lifang He, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan
2024	J	`jnl`	Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. CoRR Haoteng Tang, Guodong Liu, Siyuan Dai, Kai Ye, Kun Zhao, Wenlu Wang, Carl Yang, Lifang He, Alex D. Leow, Paul Thompson, Heng Huang, Liang Zhan
2024	—	`conf`	Neurodegenerative Disease Prediction via Transferable Deep Networks. ISBI Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang
2024	J	`jnl`	Political-LLM: Large Language Models in Political Science. CoRR Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong
2024	—	`conf`	SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation. ACL (Findings) Kun Zhao, Bohao Yang, Chen Tang, Chenghua Lin, Liang Zhan
2024	J	`jnl`	SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation. CoRR Kun Zhao, Bohao Yang, Chen Tang, Chenghua Lin, Liang Zhan
2024	—	`conf`	Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases. MICCAI (2) Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang, Liang Zhan, Feng Zheng, Weiwen Jiang, Yanfu Zhang
2024	J	`jnl`	Structured Information Matters: Incorporating Abstract Meaning Representation into LLMs for Improved Open-Domain Dialogue Evaluation. CoRR Bohao Yang, Kun Zhao, Chen Tang, Liang Zhan, Chenghua Lin
2024	A*	`conf`	Uncertainty Regularized Evidential Regression. AAAI Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan
2024	J	`jnl`	Uncertainty Regularized Evidential Regression. CoRR Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan
2023	J	`jnl`	A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images. Comput. Biol. Medicine Haozhe Jia, Haoteng Tang, Guixiang Ma, Weidong Cai, Heng Huang, Liang Zhan, Yong Xia
2023	J	`jnl`	A novel multiclass-based framework for P300 detection in BCI matrix speller: Temporal EEG patterns of non-target trials vary based on their position to previous target stimuli. Eng. Appl. Artif. Intell. Mohammad Norizadeh Cherloo, Amir Mohammad Mijani, Liang Zhan, Mohammad Reza Daliri
2023	—	`conf`	Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data. MICCAI (3) Kai Ye, Haoteng Tang, Siyuan Dai, Lei Guo, Johnny Yuehan Liu, Yalin Wang, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan
2023	—	`conf`	Brain MRI to PET Synthesis and Amyloid Estimation in Alzheimer's Disease via 3D Multimodal Contrastive GAN. MLMI@MICCAI (1) Yan Jin, Jonathan Dubois, Chongyue Zhao, Liang Zhan, Audrey Gabelle, Neda Jahanshad, Paul M. Thompson, Arie Gafson, Shibeshih Mitiku Belachew
2023	J	`jnl`	BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks. IEEE Trans. Medical Imaging Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
2023	J	`jnl`	Enhanced simulations of whole-brain dynamics using hybrid resting-state structural connectomes. Frontiers Comput. Neurosci. Thanos Manos, Sandra Diaz-Pier, Igor Fortel, Ira Driscoll, Liang Zhan, Alex D. Leow
2023	J	`jnl`	Incomplete Multimodal Learning for Complex Brain Disorders Prediction. CoRR Reza Shirkavand, Liang Zhan, Heng Huang, Li Shen, Paul M. Thompson
2023	J	`jnl`	Signed graph representation learning for functional-to-structural brain network mapping. Medical Image Anal. Haoteng Tang, Lei Guo, Xiyao Fu, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan
2023	J	`jnl`	Spectrum-Enhanced TRCA (SE-TRCA): A novel approach for direction detection in SSVEP-based BCI. Comput. Biol. Medicine Amir Mohammad Mijani, Mohammad Norizadeh Cherloo, Haoteng Tang, Liang Zhan
2022	J	`jnl`	3D bi-directional transformer U-Net for medical image segmentation. Frontiers Big Data Xiyao Fu, Zhexian Sun, Haoteng Tang, Eric M. Zou, Heng Huang, Yong Wang, Liang Zhan
2022	B	`conf`	Accelerate State Sharing of Network Function with RDMA. GLOBECOM Chenming Chang, Wei Yang, Chao Zheng, Ping Jiang, Liang Zhan, Qingyun Liu
2022	B	`conf`	BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract). IEEE Big Data Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
2022	J	`jnl`	BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks. CoRR Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
2022	J	`jnl`	Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. CoRR Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhan
2022	J	`jnl`	Evaluation Method of Equalization of Basic Medical Services from the Spatial Perspective: The Case of Xinjiang, China. ISPRS Int. J. Geo Inf. Liang Zhan, Nana Li, Chune Li, Xuejia Sang, Jun Ma
2022	—	`conf`	Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior. MICCAI (1) Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang
2022	J	`jnl`	Functional2Structural: Cross-Modality Brain Networks Representation Learning. CoRR Haoteng Tang, Xiyao Fu, Lei Guo, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan
2022	—	`conf`	Hierarchical Brain Embedding Using Explainable Graph Learning. ISBI Haoteng Tang, Lei Guo, Xiyao Fu, Benjamin Qu, Paul M. Thompson, Heng Huang, Liang Zhan
2022	—	`conf`	Predicting Spatio-Temporal Human Brain Response Using fMRI. MICCAI (1) Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang
2022	—	`conf`	Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer. MICCAI (1) Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang
2022	J	`jnl`	Tensor-Based Multi-Modality Feature Selection and Regression for Alzheimer's Disease Diagnosis. CoRR Jun Yu, Zhaoming Kong, Liang Zhan, Li Shen, Lifang He
2022	—	`conf`	Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder. MICCAI (1) Carlo Amodeo, Igor Fortel, Olusola Ajilore, Liang Zhan, Alex D. Leow, Theja Tulabandhula
2022	J	`jnl`	Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder. CoRR Carlo Amodeo, Igor Fortel, Olusola Ajilore, Liang Zhan, Alex D. Leow, Theja Tulabandhula
2021	J	`jnl`	Boundary-aware Graph Reasoning for Semantic Segmentation. CoRR Haoteng Tang, Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia, Liang Zhan
2021	J	`jnl`	CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning. Neural Networks Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan
2021	—	`conf`	Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes. MICCAI (7) Yanfu Zhang, Liang Zhan, Shandong Wu, Paul M. Thompson, Heng Huang
2021	J	`jnl`	Multiplex Graph Networks for Multimodal Brain Network Analysis. CoRR Zhaoming Kong, Lichao Sun, Hao Peng, Liang Zhan, Yong Chen, Lifang He
2021	J	`jnl`	PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images. CoRR Haozhe Jia, Haoteng Tang, Guixiang Ma, Tom Weidong Cai, Heng Huang, Liang Zhan, Yong Xia
2021	J	`jnl`	rest2vec: Vectorizing the resting-state functional connectome using graph embedding. NeuroImage Zachery Morrissey, Liang Zhan, Olusola Ajilore, Alex D. Leow
2020	—	`conf`	A Generalized Framework of Pathlength Associated Community Estimation for Brain Structural Network. ISBI Yurong Chen, Haoteng Tang, Lei Guo, Jamie C. Peven, Heng Huang, Alex D. Leow, Melissa Lamar, Liang Zhan
2020	—	`conf`	A Univariate Persistent Brain Network Feature Based on the Aggregated Cost of Cycles from the Nested Filtration Networks. ISBI Mohammad Farazi, Liang Zhan, Natasha Leporé, Paul M. Thompson, Yalin Wang
2020	J	`jnl`	Adversarial Attack on Hierarchical Graph Pooling Neural Networks. CoRR Haoteng Tang, Guixiang Ma, Yurong Chen, Lei Guo, Wei Wang, Bo Zeng, Liang Zhan
2020	J	`jnl`	CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning. CoRR Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan
2020	J	`jnl`	Deep Representation Learning For Multimodal Brain Networks. CoRR Wen Zhang, Liang Zhan, Paul Thompson, Yalin Wang
2020	—	`conf`	Deep Representation Learning for Multimodal Brain Networks. MICCAI (7) Wen Zhang, Liang Zhan, Paul M. Thompson, Yalin Wang
2020	A*	`conf`	Multimodal Learning with Incomplete Modalities by Knowledge Distillation. KDD Qi Wang, Liang Zhan, Paul M. Thompson, Jiayu Zhou
2020	—	`conf`	Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model. MICCAI (1) Alireza Ganjdanesh, Kamran Ghasedi, Liang Zhan, Weidong Cai, Heng Huang
2020	A*	`conf`	Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning. KDD Chao Li, Haoteng Tang, Cheng Deng, Liang Zhan, Wei Liu
2019	—	`conf`	Biological Knowledge Guided Deep Neural Network for Brain Genotype-Phenotype Association Study. MBIA/MFCA@MICCAI Yanfu Zhang, Liang Zhan, Paul M. Thompson, Heng Huang
2019	—	`conf`	Brain Dynamics Through the Lens of Statistical Mechanics by Unifying Structure and Function. MICCAI (5) Igor Fortel, Mitchell Butler, Laura E. Korthauer, Liang Zhan, Olusola Ajilore, Ira Driscoll, Anastasios Sidiropoulos, Yanfu Zhang, Lei Guo, Heng Huang, Dan Schonfeld, Alex D. Leow
2019	J	`jnl`	Cardiovascular disease risk factors, tract-based structural connectomics, and cognition in older adults. NeuroImage Elizabeth A. Boots, Liang Zhan, Catherine Dion, Aimee J. Karstens, Jamie C. Peven, Olusola Ajilore, Melissa Lamar
2019	—	`conf`	Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding. MBIA/MFCA@MICCAI Haoteng Tang, Lei Guo, Emily L. Dennis, Paul M. Thompson, Heng Huang, Olusola Ajilore, Alex D. Leow, Liang Zhan
2019	—	`conf`	Identifying Configurational Abnormalities in Alzheimer'S Disease Progression Using Multi-View Structure Connectome. ISBI Lei Guo, Haoteng Tang, Qi Wang, Emily L. Dennis, Dajiang Zhu, Heng Huang, Olusola Ajilore, Alex D. Leow, Liang Zhan
2019	—	`conf`	Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions. MICCAI (4) Yanfu Zhang, Liang Zhan, Weidong Cai, Paul Thompson, Heng Huang
2018	J	`jnl`	Disrupted topology of the resting state structural connectome in middle-aged NeuroImage Laura E. Korthauer, Liang Zhan, Olusola Ajilore, Alex D. Leow, Ira Driscoll
2018	—	`conf`	Phase Angle Spatial Embedding (PhASE) - A Kernel Method for Studying the Topology of the Human Functional Connectome. MICCAI (3) Zachery Morrissey, Liang Zhan, Hyekyoung Lee, Johnson J. G. Keiriz, Angus G. Forbes, Olusola Ajilore, Alex D. Leow, Moo K. Chung
2018	A*	`conf`	Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. KDD Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou
2018	J	`jnl`	Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. CoRR Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou
2017	—	`conf`	Automated part management system capstone project. EIT Bruno Borowczyk, Ben Wyss, Andrew Drane, Grant Luttinen, Ahmet Turkmen, Kenan Baltaci, Andy S. Peng, Liang Zhan
2017	J	`jnl`	Construction of a Decision Support System Based on GP Services, Using a Warning-Judgment Module as an Example. ISPRS Int. J. Geo Inf. Xuejia Sang, Linfu Xue, Xiaopeng Leng, Jiwen Liu, Liang Zhan
2017	—	`conf`	Design of a Bluetooth-enabled low energy electrocardiogram monitoring system. EIT Meng Vue, Tom Ochwangi, Meng Thao, Andy S. Peng, Kenan Baltaci, Liang Zhan
2017	—	`conf`	Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distance. ISBI Wen Zhang, Jie Shi, Jun Yu, Liang Zhan, Paul M. Thompson, Yalin Wang
2017	J	`jnl`	Exploring the Human Connectome Topology in Group Studies. CoRR Johnson J. G. Keiriz, Liang Zhan, Morris Chukhman, Olusola Ajilore, Alex D. Leow, Angus Graeme Forbes
2017	A*	`conf`	Multi-Modality Disease Modeling via Collective Deep Matrix Factorization. KDD Qi Wang, Mengying Sun, Liang Zhan, Paul Thompson, Shuiwang Ji, Jiayu Zhou
2016	—	`conf`	Diffusion tensor distribution function metrics boost power to detect deficits in Alzheimer's disease. ISBI Talia M. Nir, Artemis Zavaliangos-Petropulu, Neda Jahanshad, Julio Villalon-Reina, Liang Zhan, Alex D. Leow, Matt A. Bernstein, Clifford R. Jack, Michael W. Weiner, Paul M. Thompson
2016	—	`conf`	Discriminative fusion of multiple brain networks for early mild cognitive impairment detection. ISBI Qi Wang, Liang Zhan, Paul M. Thompson, Hiroko H. Dodge, Jiayu Zhou
2016	—	`conf`	Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions. MICCAI (1) Qingyang Li, Tao Yang, Liang Zhan, Derrek P. Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang
2016	J	`jnl`	Large-scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions. CoRR Qingyang Li, Tao Yang, Liang Zhan, Derrek P. Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang
2016	—	`conf`	Population learning of structural connectivity by white matter encoding and decoding. ISBI Dajiang Zhu, Neda Jahanshad, Brandalyn C. Riedel, Liang Zhan, Joshua Faskowitz, Gautam Prasad, Paul M. Thompson
2015	—	`conf`	Automated multi-atlas labeling of the fornix and its integrity in alzheimer's disease. ISBI Yan Jin, Yonggang Shi, Liang Zhan, Paul M. Thompson
2015	—	`conf`	Boosting classification accuracy of diffusion MRI derived brain networks for the subtypes of mild cognitive impairment using higher order singular value decomposition. ISBI Liang Zhan, Yashu Liu, Jiayu Zhou, Jieping Ye, Paul M. Thompson
2015	—	`conf`	Detecting genetic risk factors for Alzheimer's disease in whole genome sequence data via Lasso screening. ISBI Tao Yang, Jie Wang, Qian Sun, Derrek P. Hibar, Neda Jahanshad, Li Liu, Yalin Wang, Liang Zhan, Paul M. Thompson, Jieping Ye
2015	—	`conf`	Fiber Tracking in Traumatic Brain Injury: Comparison of 9 Tractography Algorithms. Brainles@MICCAI Emily L. Dennis, Gautam Prasad, Madelaine Daianu, Liang Zhan, Talin Babikian, Claudia Kernan, Richard Mink, Christopher Babbitt, Jeffrey Johnson, Christopher C. Giza, Robert F. Asarnow, Paul M. Thompson
2015	—	`conf`	Genetic analysis of structural brain connectivity using DICCCOL models of diffusion MRI in 522 twins. ISBI Dajiang Zhu, Liang Zhan, Joshua Faskowitz, Madelaine Daianu, Neda Jahanshad, Greig I. de Zubicaray, Katie L. McMahon, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson
2015	—	`conf`	Heritability of brain network topology in 853 twins and siblings. ISBI Liang Zhan, Neda Jahanshad, Joshua Faskowitz, Dajiang Zhu, Gautam Prasad, Nicholas G. Martin, Greig I. de Zubicaray, Katie L. McMahon, Margaret J. Wright, Paul M. Thompson
2015	—	`conf`	Identification of Discriminative Subgraph Patterns in fMRI Brain Networks in Bipolar Affective Disorder. BIH Bokai Cao, Liang Zhan, Xiangnan Kong, Philip S. Yu, Nathalie Vizueta, Lori L. Altshuler, Alex D. Leow
2015	J	`jnl`	The intrinsic geometry of the human brain connectome. Brain Informatics Allen Q. Ye, Olusola Ajilore, Giorgio Conte, Johnson J. GadElkarim, Galen Thomas-Ramos, Liang Zhan, Shaolin Yang, Anand R. Kumar, Richard L. Magin, Angus Graeme Forbes, Alex D. Leow
2014	J	`jnl`	Automatic clustering of white matter fibers in brain diffusion MRI with an application to genetics. NeuroImage Yan Jin, Yonggang Shi, Liang Zhan, Boris A. Gutman, Greig I. de Zubicaray, Katie L. McMahon, Margaret J. Wright, Arthur W. Toga, Paul M. Thompson
2014	—	`conf`	Evaluation of diffusion imaging protocols for the Alzheimer's disease Neuroimaging Initiative. ISBI Liang Zhan, Matt A. Bernstein, Bret J. Borowski, Clifford R. Jack, Paul M. Thompson
2014	—	`conf`	Understanding scanner upgrade effects on brain integrity & connectivity measures. ISBI Liang Zhan, Neda Jahanshad, Yan Jin, Talia M. Nir, Cassandra D. Leonardo, Matt A. Bernstein, Bret J. Borowski, Clifford R. Jack, Paul M. Thompson
2013	—	`conf`	Brain network efficiency and topology depend on the fiber tracking method: 11 tractography algorithms compared in 536 subjects. ISBI Liang Zhan, Neda Jahanshad, Yan Jin, Arthur W. Toga, Katie McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson
2013	J	`jnl`	Constructing the resting state structural connectome. Frontiers Neuroinformatics Olusola Ajilore, Liang Zhan, Johnson J. GadElkarim, Aifeng Zhang, Jamie Feusner, Shaolin Yang, Paul M. Thompson, Anand R. Kumar, Alex D. Leow
2013	—	`conf`	Labeling white matter tracts in hardi by fusing multiple tract atlases with applications to genetics. ISBI Yan Jin, Yonggang Shi, Liang Zhan, Greig I. de Zubicaray, Katie McMahon, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson
2013	J	`jnl`	Magnetic Resonance Field Strength Effects on Diffusion Measures and Brain Connectivity Networks. Brain Connect. Liang Zhan, Bryon A. Mueller, Neda Jahanshad, Yan Jin, Christophe Lenglet, Essa Yacoub, Guillermo Sapiro, Kâmil Ugurbil, Noam Harel, Arthur W. Toga, Kelvin O. Lim, Paul M. Thompson
2013	—	`conf`	Rich Club Analysis of Structural Brain Connectivity at 7 Tesla Versus 3 Tesla. CDMRI/MMBC@MICCAI Emily L. Dennis, Liang Zhan, Neda Jahanshad, Bryon A. Mueller, Yan Jin, Christophe Lenglet, Essa Yacoub, Guillermo Sapiro, Kâmil Ugurbil, Noam Harel, Arthur W. Toga, Kelvin O. Lim, Paul M. Thompson
2012	—	`conf`	A Framework for Quantifying Node-Level Community Structure Group Differences in Brain Connectivity Networks. MICCAI (2) Johnson J. GadElkarim, Dan Schonfeld, Olusola Ajilore, Liang Zhan, Aifeng Zhang, Jamie Feusner, Paul M. Thompson, Tony J. Simon, Anand R. Kumar, Alex D. Leow
2012	—	`conf`	Automatic Population HARDI White Matter Tract Clustering by Label Fusion of Multiple Tract Atlases. MBIA Yan Jin, Yonggang Shi, Liang Zhan, Junning Li, Greig I. de Zubicaray, Katie McMahon, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson
2012	—	`conf`	Hierarchical Structural Mapping for Globally Optimized Estimation of Functional Networks. MICCAI (2) Alex D. Leow, Liang Zhan, Donatello Arienzo, Johnson J. GadElkarim, Aifeng Zhang, Olusola Ajilore, Anand R. Kumar, Paul M. Thompson, Jamie Feusner
2012	—	`conf`	How do spatial and angular resolution affect brain connectivity maps from diffusion MRI? ISBI Liang Zhan, Daniel Franc, Vishal Patel, Neda Jahanshad, Yan Jin, Bryon A. Mueller, Matt A. Bernstein, Bret J. Borowski, Clifford R. Jack, Arthur W. Toga, Kelvin O. Lim, Paul M. Thompson
2012	—	`conf`	Measuring inter-hemispheric integration in bipolar affective disorder using brain network analyses and HARDI. ISBI Alex D. Leow, Liang Zhan, Olusola Ajilore, Johnson J. GadElkarim, Aifeng Zhang, Donatello Arienzo, Teena Moody, Jamie Feusner, Anand R. Kumar, Paul M. Thompson, Lori L. Altshuler
2011	—	`conf`	Differential information content in staggered multiple shell hardi measured by the tensor distribution function. ISBI Liang Zhan, Alex D. Leow, Iman Aganj, Christophe Lenglet, Guillermo Sapiro, Essa Yacoub, Noam Harel, Arthur W. Toga, Paul M. Thompson
2011	—	`conf`	Heritability of White Matter Fiber Tract Shapes: A HARDI Study of 198 Twins. MBIA Yan Jin, Yonggang Shi, Shantanu H. Joshi, Neda Jahanshad, Liang Zhan, Greig I. de Zubicaray, Katie McMahon, Nicholas G. Martin, Margaret J. Wright, Arthur W. Toga, Paul M. Thompson
2011	—	`conf`	TDF-TRACT: Probabilistic tractography using the tensor distribution function. ISBI Johnson J. GadElkarim, Liang Zhan, Shaolin Yang, Aifeng Zhang, Lori L. Altshuler, Melissa Lamar, Olusola Ajilore, Paul M. Thompson, Anand R. Kumar, Alex D. Leow
2010	—	`conf`	Diffusion tensor imaging in seven minutes: determining trade-offs between spatial and directional resolution. ISBI Neda Jahanshad, Liang Zhan, Matt A. Bernstein, Bret J. Borowski, Clifford R. Jack, Arthur W. Toga, Paul M. Thompson
2010	J	`jnl`	How does angular resolution affect diffusion imaging measures? NeuroImage Liang Zhan, Alex D. Leow, Neda Jahanshad, Ming-Chang Chiang, Marina Barysheva, Agatha D. Lee, Arthur W. Toga, Katie McMahon, Greig I. de Zubicaray, Margaret J. Wright, Paul M. Thompson
2009	—	`conf`	A Novel Measure of Fractional Anisotropy Based on the Tensor Distribution Function. MICCAI (1) Liang Zhan, Alex D. Leow, Siwei Zhu, Marina Barysheva, Arthur W. Toga, Katie McMahon, Greig I. de Zubicaray, Margaret J. Wright, Paul M. Thompson
2009	—	`conf`	Analyzing Multi-Fiber Reconstruction in High Angular Resolution Diffusion Imaging Using the Tensor Distribution Function. ISBI Liang Zhan, Alex D. Leow, Siwei Zhu, Ming-Chang Chiang, Marina Barysheva, Arthur W. Toga, Katie McMahon, Greig I. de Zubicaray, Margaret J. Wright, Paul M. Thompson
2009	—	`conf`	HARDI Denoising: Variational Regularization of the Spherical Apparent Diffusion Coefficient IPMI Yunho Kim, Paul M. Thompson, Arthur W. Toga, Luminita A. Vese, Liang Zhan
2009	—	`conf`	Segmenting Crossing Fiber Geometries Using Fluid Mechanics Tensor Distribution Function Tractography. ISBI Nathan S. Hageman, Alex D. Leow, David W. Shattuck, Liang Zhan, Paul M. Thompson, Siwei Zhu, Arthur W. Toga
2009	—	`conf`	White Matter Integrity Measured by Fractional Anisotropy Correlates Poorly with Actual Individual Fiber Anisotropy. ISBI Alex D. Leow, Liang Zhan, Siwei Zhu, Nathan S. Hageman, Ming-Chang Chiang, Marina Barysheva, Arthur W. Toga, Katie McMahon, Greig I. de Zubicaray, Margaret J. Wright, Paul M. Thompson