Liang Zhan

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 69

Top Venues

Publications

Kun Zhao, Bohao Yang, Chen Tang, Chenghua Lin, Liang Zhan
SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation. ACL (Findings) (2024)
Bao Hoang, Yijiang Pang, Siqi Liang, Liang Zhan, Paul M. Thompson, Jiayu Zhou
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization. KDD (2024)
Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan
Uncertainty Regularized Evidential Regression. CoRR (2024)
Kun Zhao, Chenghao Xiao, Chen Tang, Bohao Yang, Kai Ye, Noura Al Moubayed, Liang Zhan, Chenghua Lin
X-ray Made Simple: Radiology Report Generation and Evaluation with Layman's Terms. CoRR (2024)
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
Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. CoRR (2024)
Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhan
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Kun Zhao, Bohao Yang, Chen Tang, Chenghua Lin, Liang Zhan
SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation. CoRR (2024)
Siyuan Dai, Kai Ye, Kun Zhao, Ge Cui, Haoteng Tang, Liang Zhan
Constrained Multiview Representation for Self-supervised Contrastive Learning. CoRR (2024)
Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. CoRR (2024)
Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan
Uncertainty Regularized Evidential Regression. AAAI (2024)
Hoang Bao, Yijiang Pang, Siqi Liang, Liang Zhan, Paul M. Thompson, Jiayu Zhou
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization. CoRR (2024)
Bohao Yang, Kun Zhao, Chen Tang, Liang Zhan, Chenghua Lin
Structured Information Matters: Incorporating Abstract Meaning Representation into LLMs for Improved Open-Domain Dialogue Evaluation. CoRR (2024)
Mohammad Norizadeh Cherloo, Amir Mohammad Mijani, Liang Zhan, Mohammad Reza Daliri
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. 123 (Part B) (2023)
Haozhe Jia, Haoteng Tang, Guixiang Ma, Weidong Cai, Heng Huang, Liang Zhan, Yong Xia
A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images. Comput. Biol. Medicine 155 (2023)
Kai Ye, Haoteng Tang, Siyuan Dai, Lei Guo, Johnny Yuehan Liu, Yalin Wang, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan
Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data. MICCAI (3) (2023)
Haoteng Tang, Lei Guo, Xiyao Fu, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan
Signed graph representation learning for functional-to-structural brain network mapping. Medical Image Anal. 83 (2023)
Reza Shirkavand, Liang Zhan, Heng Huang, Li Shen, Paul M. Thompson
Incomplete Multimodal Learning for Complex Brain Disorders Prediction. CoRR (2023)
Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks. IEEE Trans. Medical Imaging 42 (2) (2023)
Yan Jin, Jonathan DuBois, Chongyue Zhao, Liang Zhan, Audrey Gabelle, Neda Jahanshad, Paul M. Thompson, Arie Gafson, Shibeshih Mitiku Belachew
Brain MRI to PET Synthesis and Amyloid Estimation in Alzheimer's Disease via 3D Multimodal Contrastive GAN. MLMI@MICCAI (1) (2023)
Amir Mohammad Mijani, Mohammad Norizadeh Cherloo, Haoteng Tang, Liang Zhan
Spectrum-Enhanced TRCA (SE-TRCA): A novel approach for direction detection in SSVEP-based BCI. Comput. Biol. Medicine 166 (2023)
Chenming Chang, Wei Yang, Chao Zheng, Ping Jiang, Liang Zhan, Qingyun Liu
Accelerate State Sharing of Network Function with RDMA. GLOBECOM (2022)
Haoteng Tang, Xiyao Fu, Lei Guo, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan
Functional2Structural: Cross-Modality Brain Networks Representation Learning. CoRR (2022)
Haoteng Tang, Lei Guo, Xiyao Fu, Benjamin Qu, Paul M. Thompson, Heng Huang, Liang Zhan
Hierarchical Brain Embedding Using Explainable Graph Learning. ISBI (2022)
Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract). Big Data (2022)
Carlo Amodeo, Igor Fortel, Olusola Ajilore, Liang Zhan, Alex D. Leow, Theja Tulabandhula
Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder. CoRR (2022)
Xiyao Fu, Zhexian Sun, Haoteng Tang, Eric M. Zou, Heng Huang, Yong Wang, Liang Zhan
3D bi-directional transformer U-Net for medical image segmentation. Frontiers Big Data 5 (2022)
Liang Zhan, Nana Li, Chune Li, Xuejia Sang, Jun Ma
Evaluation Method of Equalization of Basic Medical Services from the Spatial Perspective: The Case of Xinjiang, China. ISPRS Int. J. Geo Inf. 11 (12) (2022)
Carlo Amodeo, Igor Fortel, Olusola Ajilore, Liang Zhan, Alex D. Leow, Theja Tulabandhula
Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder. MICCAI (1) (2022)
Jun Yu, Zhaoming Kong, Liang Zhan, Li Shen, Lifang He
Tensor-Based Multi-Modality Feature Selection and Regression for Alzheimer's Disease Diagnosis. CoRR (2022)
Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks. CoRR (2022)
Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang
Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer. MICCAI (1) (2022)
Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang
Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior. MICCAI (1) (2022)
Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang
Predicting Spatio-Temporal Human Brain Response Using fMRI. MICCAI (1) (2022)
Zhaoming Kong, Lichao Sun, Hao Peng, Liang Zhan, Yong Chen, Lifang He
Multiplex Graph Networks for Multimodal Brain Network Analysis. CoRR (2021)
Haozhe Jia, Haoteng Tang, Guixiang Ma, Tom Weidong Cai, Heng Huang, Liang Zhan, Yong Xia
PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images. CoRR (2021)
Haoteng Tang, Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia, Liang Zhan
Boundary-aware Graph Reasoning for Semantic Segmentation. CoRR (2021)
Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan
CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning. Neural Networks 143 (2021)
Yanfu Zhang, Liang Zhan, Shandong Wu, Paul M. Thompson, Heng Huang
Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes. MICCAI (7) (2021)
Zachery Morrissey, Liang Zhan, Olusola Ajilore, Alex D. Leow
rest2vec: Vectorizing the resting-state functional connectome using graph embedding. NeuroImage 226 (2021)
Wen Zhang, Liang Zhan, Paul Thompson, Yalin Wang
Deep Representation Learning For Multimodal Brain Networks. CoRR (2020)
Haoteng Tang, Guixiang Ma, Yurong Chen, Lei Guo, Wei Wang, Bo Zeng, Liang Zhan
Adversarial Attack on Hierarchical Graph Pooling Neural Networks. CoRR (2020)
Yurong Chen, Haoteng Tang, Lei Guo, Jamie C. Peven, Heng Huang, Alex D. Leow, Melissa Lamar, Liang Zhan
A Generalized Framework of Pathlength Associated Community Estimation for Brain Structural Network. ISBI (2020)
Mohammad Farazi, Liang Zhan, Natasha Leporé, Paul M. Thompson, Yalin Wang
A Univariate Persistent Brain Network Feature Based on the Aggregated Cost of Cycles from the Nested Filtration Networks. ISBI (2020)
Qi Wang, Liang Zhan, Paul M. Thompson, Jiayu Zhou
Multimodal Learning with Incomplete Modalities by Knowledge Distillation. KDD (2020)
Alireza Ganjdanesh, Kamran Ghasedi, Liang Zhan, Weidong Cai, Heng Huang
Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model. MICCAI (1) (2020)
Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning. CoRR (2020)
Wen Zhang, Liang Zhan, Paul M. Thompson, Yalin Wang
Deep Representation Learning for Multimodal Brain Networks. MICCAI (7) (2020)
Chao Li, Haoteng Tang, Cheng Deng, Liang Zhan, Wei Liu
Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning. KDD (2020)
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
Brain Dynamics Through the Lens of Statistical Mechanics by Unifying Structure and Function. MICCAI (5) (2019)
Elizabeth A. Boots, Liang Zhan, Catherine Dion, Aimee J. Karstens, Jamie C. Peven, Olusola Ajilore, Melissa Lamar
Cardiovascular disease risk factors, tract-based structural connectomics, and cognition in older adults. NeuroImage 196 (2019)
Yanfu Zhang, Liang Zhan, Paul M. Thompson, Heng Huang
Biological Knowledge Guided Deep Neural Network for Brain Genotype-Phenotype Association Study. MBIA/MFCA@MICCAI (2019)
Yanfu Zhang, Liang Zhan, Weidong Cai, Paul Thompson, Heng Huang
Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions. MICCAI (4) (2019)
Haoteng Tang, Lei Guo, Emily L. Dennis, Paul M. Thompson, Heng Huang, Olusola Ajilore, Alex D. Leow, Liang Zhan
Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding. MBIA/MFCA@MICCAI (2019)
Lei Guo, Haoteng Tang, Qi Wang, Emily L. Dennis, Dajiang Zhu, Heng Huang, Olusola Ajilore, Alex D. Leow, Liang Zhan
Identifying Configurational Abnormalities in Alzheimer'S Disease Progression Using Multi-View Structure Connectome. ISBI (2019)
Zachery Morrissey, Liang Zhan, Hyekyoung Lee, Johnson J. G. Keiriz, Angus G. Forbes, Olusola Ajilore, Alex D. Leow, Moo K. Chung
Phase Angle Spatial Embedding (PhASE) - A Kernel Method for Studying the Topology of the Human Functional Connectome. MICCAI (3) (2018)
Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. KDD (2018)
Laura E. Korthauer, Liang Zhan, Olusola Ajilore, Alex D. Leow, Ira Driscoll
ε4 carriers. NeuroImage 178 (2018)
Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. CoRR (2018)
Qi Wang, Mengying Sun, Liang Zhan, Paul Thompson, Shuiwang Ji, Jiayu Zhou
Multi-Modality Disease Modeling via Collective Deep Matrix Factorization. KDD (2017)
Meng Vue, Tom Ochwangi, Meng Thao, Andy S. Peng, Kenan Baltaci, Liang Zhan
Design of a Bluetooth-enabled low energy electrocardiogram monitoring system. EIT (2017)
Bruno Borowczyk, Ben Wyss, Andrew Drane, Grant Luttinen, Ahmet Turkmen, Kenan Baltaci, Andy S. Peng, Liang Zhan
Automated part management system capstone project. EIT (2017)
Xuejia Sang, Linfu Xue, Xiaopeng Leng, Jiwen Liu, Liang Zhan
Construction of a Decision Support System Based on GP Services, Using a Warning-Judgment Module as an Example. ISPRS Int. J. Geo Inf. 6 (6) (2017)
Johnson J. G. Keiriz, Liang Zhan, Morris Chukhman, Olusola Ajilore, Alex D. Leow, Angus Graeme Forbes
Exploring the Human Connectome Topology in Group Studies. CoRR (2017)
Wen Zhang, Jie Shi, Jun Yu, Liang Zhan, Paul M. Thompson, Yalin Wang
Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distance. ISBI (2017)
Qi Wang, Liang Zhan, Paul M. Thompson, Hiroko H. Dodge, Jiayu Zhou
Discriminative fusion of multiple brain networks for early mild cognitive impairment detection. ISBI (2016)
Qingyang Li, Tao Yang, Liang Zhan, Derrek P. Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang
Large-scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions. CoRR (2016)
Qingyang Li, Tao Yang, Liang Zhan, Derrek P. Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang
Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions. MICCAI (1) (2016)
Dajiang Zhu, Neda Jahanshad, Brandalyn C. Riedel, Liang Zhan, Joshua Faskowitz, Gautam Prasad, Paul M. Thompson
Population learning of structural connectivity by white matter encoding and decoding. ISBI (2016)
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
Diffusion tensor distribution function metrics boost power to detect deficits in Alzheimer's disease. ISBI (2016)
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
Heritability of brain network topology in 853 twins and siblings. ISBI (2015)
Bokai Cao, Liang Zhan, Xiangnan Kong, Philip S. Yu, Nathalie Vizueta, Lori L. Altshuler, Alex D. Leow
Identification of Discriminative Subgraph Patterns in fMRI Brain Networks in Bipolar Affective Disorder. BIH (2015)
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
Genetic analysis of structural brain connectivity using DICCCOL models of diffusion MRI in 522 twins. ISBI (2015)
Tao Yang, Jie Wang, Qian Sun, Derrek P. Hibar, Neda Jahanshad, Li Liu, Yalin Wang, Liang Zhan, Paul M. Thompson, Jieping Ye
Detecting genetic risk factors for Alzheimer's disease in whole genome sequence data via Lasso screening. ISBI (2015)
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
Fiber Tracking in Traumatic Brain Injury: Comparison of 9 Tractography Algorithms. Brainles@MICCAI (2015)
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
The intrinsic geometry of the human brain connectome. Brain Informatics 2 (4) (2015)
Yan Jin, Yonggang Shi, Liang Zhan, Paul M. Thompson
Automated multi-atlas labeling of the fornix and its integrity in alzheimer's disease. ISBI (2015)
Liang Zhan, Yashu Liu, Jiayu Zhou, Jieping Ye, Paul M. Thompson
Boosting classification accuracy of diffusion MRI derived brain networks for the subtypes of mild cognitive impairment using higher order singular value decomposition. ISBI (2015)
Liang Zhan, Matt A. Bernstein, Bret J. Borowski, Clifford R. Jack, Paul M. Thompson
Evaluation of diffusion imaging protocols for the Alzheimer's disease Neuroimaging Initiative. ISBI (2014)
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
Automatic clustering of white matter fibers in brain diffusion MRI with an application to genetics. NeuroImage 100 (2014)
Liang Zhan, Neda Jahanshad, Yan Jin, Talia M. Nir, Cassandra D. Leonardo, Matt A. Bernstein, Bret J. Borowski, Clifford R. Jack, Paul M. Thompson
Understanding scanner upgrade effects on brain integrity & connectivity measures. ISBI (2014)
Liang Zhan, Neda Jahanshad, Yan Jin, Arthur W. Toga, Katie McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson
Brain network efficiency and topology depend on the fiber tracking method: 11 tractography algorithms compared in 536 subjects. ISBI (2013)
Olusola Ajilore, Liang Zhan, Johnson J. GadElkarim, Aifeng Zhang, Jamie Feusner, Shaolin Yang, Paul M. Thompson, Anand R. Kumar, Alex D. Leow
Constructing the resting state structural connectome. Frontiers Neuroinformatics 7 (2013)
Yan Jin, Yonggang Shi, Liang Zhan, Greig I. de Zubicaray, Katie McMahon, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson
Labeling white matter tracts in hardi by fusing multiple tract atlases with applications to genetics. ISBI (2013)
Emily L. Dennis, Liang Zhan, Neda Jahanshad, Bryon A. Mueller, Yan Jin, Christophe Lenglet, Essa Yacoub, Guillermo Sapiro, Kamil Ugurbil, Noam Harel, Arthur W. Toga, Kelvin O. Lim, Paul M. Thompson
Rich Club Analysis of Structural Brain Connectivity at 7 Tesla Versus 3 Tesla. CDMRI/MMBC@MICCAI (2013)
Liang Zhan, Bryon A. Mueller, Neda Jahanshad, Yan Jin, Christophe Lenglet, Essa Yacoub, Guillermo Sapiro, Kamil Ugurbil, Noam Harel, Arthur W. Toga, Kelvin O. Lim, Paul M. Thompson
Magnetic Resonance Field Strength Effects on Diffusion Measures and Brain Connectivity Networks. Brain Connect. 3 (1) (2013)
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
A Framework for Quantifying Node-Level Community Structure Group Differences in Brain Connectivity Networks. MICCAI (2) (2012)
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
Measuring inter-hemispheric integration in bipolar affective disorder using brain network analyses and HARDI. ISBI (2012)
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
How do spatial and angular resolution affect brain connectivity maps from diffusion MRI? ISBI (2012)
Alex D. Leow, Liang Zhan, Donatello Arienzo, Johnson J. GadElkarim, Aifeng Zhang, Olusola Ajilore, Anand R. Kumar, Paul M. Thompson, Jamie Feusner
Hierarchical Structural Mapping for Globally Optimized Estimation of Functional Networks. MICCAI (2) (2012)
Yan Jin, Yonggang Shi, Liang Zhan, Junning Li, Greig I. de Zubicaray, Katie McMahon, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson
Automatic Population HARDI White Matter Tract Clustering by Label Fusion of Multiple Tract Atlases. MBIA (2012)
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
TDF-TRACT: Probabilistic tractography using the tensor distribution function. ISBI (2011)
Liang Zhan, Alex D. Leow, Iman Aganj, Christophe Lenglet, Guillermo Sapiro, Essa Yacoub, Noam Harel, Arthur W. Toga, Paul M. Thompson
Differential information content in staggered multiple shell hardi measured by the tensor distribution function. ISBI (2011)
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
Heritability of White Matter Fiber Tract Shapes: A HARDI Study of 198 Twins. MBIA (2011)
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
How does angular resolution affect diffusion imaging measures? NeuroImage 49 (2) (2010)
Neda Jahanshad, Liang Zhan, Matt A. Bernstein, Bret J. Borowski, Clifford R. Jack, Arthur W. Toga, Paul M. Thompson
Diffusion tensor imaging in seven minutes: determining trade-offs between spatial and directional resolution. ISBI (2010)
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
Analyzing Multi-Fiber Reconstruction in High Angular Resolution Diffusion Imaging Using the Tensor Distribution Function. ISBI (2009)
Yunho Kim, Paul M. Thompson, Arthur W. Toga, Luminita A. Vese, Liang Zhan
. IPMI (2009)
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
White Matter Integrity Measured by Fractional Anisotropy Correlates Poorly with Actual Individual Fiber Anisotropy. ISBI (2009)
Nathan S. Hageman, Alex D. Leow, David W. Shattuck, Liang Zhan, Paul M. Thompson, Siwei Zhu, Arthur W. Toga
Segmenting Crossing Fiber Geometries Using Fluid Mechanics Tensor Distribution Function Tractography. ISBI (2009)
Liang Zhan, Alex D. Leow, Siwei Zhu, Marina Barysheva, Arthur W. Toga, Katie McMahon, Greig I. de Zubicaray, Margaret J. Wright, Paul M. Thompson
A Novel Measure of Fractional Anisotropy Based on the Tensor Distribution Function. MICCAI (1) (2009)

Liang Zhan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Liang Zhan