Liang Zhan

According to our database, Liang Zhan authored at least 96 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model.

Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhan

IEEE Trans. Neural Networks Learn. Syst., June, 2024

X-ray Made Simple: Radiology Report Generation and Evaluation with Layman's Terms.

Kun Zhao, Chenghao Xiao, Chen Tang, Bohao Yang, Kai Ye, Noura Al Moubayed, Liang Zhan, Chenghua Lin

CoRR, 2024

Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization.

Hoang Bao, Yijiang Pang, Siqi Liang, Liang Zhan, Paul M. Thompson, Jiayu Zhou

CoRR, 2024

BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations.

Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang

CoRR, 2024

Structured Information Matters: Incorporating Abstract Meaning Representation into LLMs for Improved Open-Domain Dialogue Evaluation.

Bohao Yang, Kun Zhao, Chen Tang, Liang Zhan, Chenghua Lin

CoRR, 2024

Constrained Multiview Representation for Self-supervised Contrastive Learning.

Siyuan Dai, Kai Ye, Kun Zhao, Ge Cui, Haoteng Tang, Liang Zhan

CoRR, 2024

Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases.

Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang, Liang Zhan, Feng Zheng, Weiwen Jiang, Yanfu Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization.

Bao Hoang, Yijiang Pang, Siqi Liang, Liang Zhan, Paul M. Thompson, Jiayu Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Neurodegenerative Disease Prediction via Transferable Deep Networks.

Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Brain Image Synthesis Using Incomplete Multimodal Data.

Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation.

Kun Zhao, Bohao Yang, Chen Tang, Chenghua Lin, Liang Zhan

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Uncertainty Regularized Evidential Regression.

Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Spectrum-Enhanced TRCA (SE-TRCA): A novel approach for direction detection in SSVEP-based BCI.

Amir Mohammad Mijani, Mohammad Norizadeh Cherloo, Haoteng Tang, Liang Zhan

Comput. Biol. Medicine, November, 2023

A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images.

Haozhe Jia, Haoteng Tang, Guixiang Ma, Weidong Cai, Heng Huang, Liang Zhan, Yong Xia

Comput. Biol. Medicine, March, 2023

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks.

Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang

IEEE Trans. Medical Imaging, February, 2023

Signed graph representation learning for functional-to-structural brain network mapping.

Haoteng Tang, Lei Guo, Xiyao Fu, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan

Medical Image Anal., 2023

Enhanced simulations of whole-brain dynamics using hybrid resting-state structural connectomes.

Thanos Manos, Sandra Diaz-Pier, Igor Fortel, Ira Driscoll, Liang Zhan, Alex D. Leow

Frontiers Comput. Neurosci., 2023

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.

Mohammad Norizadeh Cherloo, Amir Mohammad Mijani, Liang Zhan, Mohammad Reza Daliri

Eng. Appl. Artif. Intell., 2023

Incomplete Multimodal Learning for Complex Brain Disorders Prediction.

Reza Shirkavand, Liang Zhan, Heng Huang, Li Shen, Paul M. Thompson

CoRR, 2023

Brain MRI to PET Synthesis and Amyloid Estimation in Alzheimer's Disease via 3D Multimodal Contrastive GAN.

Yan Jin, Jonathan DuBois, Chongyue Zhao, Liang Zhan, Audrey Gabelle, Neda Jahanshad, Paul M. Thompson, Arie Gafson, Shibeshih Mitiku Belachew

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data.

Kai Ye, Haoteng Tang, Siyuan Dai, Lei Guo, Johnny Yuehan Liu, Yalin Wang, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Evaluation Method of Equalization of Basic Medical Services from the Spatial Perspective: The Case of Xinjiang, China.

Liang Zhan, Nana Li, Chune Li, Xuejia Sang, Jun Ma

ISPRS Int. J. Geo Inf., December, 2022

3D bi-directional transformer U-Net for medical image segmentation.

Xiyao Fu, Zhexian Sun, Haoteng Tang, Eric M. Zou, Heng Huang, Yong Wang, Liang Zhan

Frontiers Big Data, 2022

Tensor-Based Multi-Modality Feature Selection and Regression for Alzheimer's Disease Diagnosis.

Jun Yu, Zhaoming Kong, Liang Zhan, Li Shen, Lifang He

CoRR, 2022

Functional2Structural: Cross-Modality Brain Networks Representation Learning.

Haoteng Tang, Xiyao Fu, Lei Guo, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan

CoRR, 2022

Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior.

Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer.

Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Predicting Spatio-Temporal Human Brain Response Using fMRI.

Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder.

Carlo Amodeo, Igor Fortel, Olusola Ajilore, Liang Zhan, Alex D. Leow, Theja Tulabandhula

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Hierarchical Brain Embedding Using Explainable Graph Learning.

Haoteng Tang, Lei Guo, Xiyao Fu, Benjamin Qu, Paul M. Thompson, Heng Huang, Liang Zhan

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Accelerate State Sharing of Network Function with RDMA.

Chenming Chang, Wei Yang, Chao Zheng, Ping Jiang, Liang Zhan, Qingyun Liu

Proceedings of the IEEE Global Communications Conference, 2022

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract).

Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang

Proceedings of the IEEE International Conference on Big Data, 2022

2021

CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning.

Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan

Neural Networks, 2021

rest2vec: Vectorizing the resting-state functional connectome using graph embedding.

Zachery Morrissey, Liang Zhan, Olusola Ajilore, Alex D. Leow

NeuroImage, 2021

PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images.

Haozhe Jia, Haoteng Tang, Guixiang Ma, Tom Weidong Cai, Heng Huang, Liang Zhan, Yong Xia

CoRR, 2021

Boundary-aware Graph Reasoning for Semantic Segmentation.

Haoteng Tang, Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia, Liang Zhan

CoRR, 2021

Multiplex Graph Networks for Multimodal Brain Network Analysis.

Zhaoming Kong, Lichao Sun, Hao Peng, Liang Zhan, Yong Chen, Lifang He

CoRR, 2021

Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes.

Yanfu Zhang, Liang Zhan, Shandong Wu, Paul M. Thompson, Heng Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Adversarial Attack on Hierarchical Graph Pooling Neural Networks.

Haoteng Tang, Guixiang Ma, Yurong Chen, Lei Guo, Wei Wang, Bo Zeng, Liang Zhan

CoRR, 2020

Deep Representation Learning for Multimodal Brain Networks.

Wen Zhang, Liang Zhan, Paul M. Thompson, Yalin Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model.

Alireza Ganjdanesh, Kamran Ghasedi, Liang Zhan, Weidong Cai, Heng Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Multimodal Learning with Incomplete Modalities by Knowledge Distillation.

Qi Wang, Liang Zhan, Paul M. Thompson, Jiayu Zhou

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning.

Chao Li, Haoteng Tang, Cheng Deng, Liang Zhan, Wei Liu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A Univariate Persistent Brain Network Feature Based on the Aggregated Cost of Cycles from the Nested Filtration Networks.

Mohammad Farazi, Liang Zhan, Natasha Leporé, Paul M. Thompson, Yalin Wang

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

A Generalized Framework of Pathlength Associated Community Estimation for Brain Structural Network.

Yurong Chen, Haoteng Tang, Lei Guo, Jamie C. Peven, Heng Huang, Alex D. Leow, Melissa Lamar, Liang Zhan

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Cardiovascular disease risk factors, tract-based structural connectomics, and cognition in older adults.

Elizabeth A. Boots, Liang Zhan, Catherine Dion, Aimee J. Karstens, Jamie C. Peven, Olusola Ajilore, Melissa Lamar

NeuroImage, 2019

Biological Knowledge Guided Deep Neural Network for Brain Genotype-Phenotype Association Study.

Yanfu Zhang, Liang Zhan, Paul M. Thompson, Heng Huang

Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions.

Yanfu Zhang, Liang Zhan, Weidong Cai, Paul Thompson, Heng Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding.

Haoteng Tang, Lei Guo, Emily L. Dennis, Paul M. Thompson, Heng Huang, Olusola Ajilore, Alex D. Leow, Liang Zhan

Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

Brain Dynamics Through the Lens of Statistical Mechanics by Unifying Structure and Function.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Identifying Configurational Abnormalities in Alzheimer'S Disease Progression Using Multi-View Structure Connectome.

Lei Guo, Haoteng Tang, Qi Wang, Emily L. Dennis, Dajiang Zhu, Heng Huang, Olusola Ajilore, Alex D. Leow, Liang Zhan

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Disrupted topology of the resting state structural connectome in middle-aged <i>APOE</i> ε4 carriers.

Laura E. Korthauer, Liang Zhan, Olusola Ajilore, Alex D. Leow, Ira Driscoll

NeuroImage, 2018

Phase Angle Spatial Embedding (PhASE) - A Kernel Method for Studying the Topology of the Human Functional Connectome.

Zachery Morrissey, Liang Zhan, Hyekyoung Lee, Johnson J. G. Keiriz, Angus G. Forbes, Olusola Ajilore, Alex D. Leow, Moo K. Chung

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases.

Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Construction of a Decision Support System Based on GP Services, Using a Warning-Judgment Module as an Example.

Xuejia Sang, Linfu Xue, Xiaopeng Leng, Jiwen Liu, Liang Zhan

ISPRS Int. J. Geo Inf., 2017

Exploring the Human Connectome Topology in Group Studies.

Johnson J. G. Keiriz, Liang Zhan, Morris Chukhman, Olusola Ajilore, Alex D. Leow, Angus Graeme Forbes

CoRR, 2017

Multi-Modality Disease Modeling via Collective Deep Matrix Factorization.

Qi Wang, Mengying Sun, Liang Zhan, Paul Thompson, Shuiwang Ji, Jiayu Zhou

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distance.

Wen Zhang, Jie Shi, Jun Yu, Liang Zhan, Paul M. Thompson, Yalin Wang

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Design of a Bluetooth-enabled low energy electrocardiogram monitoring system.

Meng Vue, Tom Ochwangi, Meng Thao, Andy S. Peng, Kenan Baltaci, Liang Zhan

Proceedings of the IEEE International Conference on Electro Information Technology, 2017

Automated part management system capstone project.

Bruno Borowczyk, Ben Wyss, Andrew Drane, Grant Luttinen, Ahmet Turkmen, Kenan Baltaci, Andy S. Peng, Liang Zhan

Proceedings of the IEEE International Conference on Electro Information Technology, 2017

2016

Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions.

Qingyang Li, Tao Yang, Liang Zhan, Derrek P. Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Population learning of structural connectivity by white matter encoding and decoding.

Dajiang Zhu, Neda Jahanshad, Brandalyn C. Riedel, Liang Zhan, Joshua Faskowitz, Gautam Prasad, Paul M. Thompson

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Discriminative fusion of multiple brain networks for early mild cognitive impairment detection.

Qi Wang, Liang Zhan, Paul M. Thompson, Hiroko H. Dodge, Jiayu Zhou

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Diffusion tensor distribution function metrics boost power to detect deficits in Alzheimer's disease.

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

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

The intrinsic geometry of the human brain connectome.

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

Brain Informatics, 2015

Fiber Tracking in Traumatic Brain Injury: Comparison of 9 Tractography Algorithms.

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

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

Genetic analysis of structural brain connectivity using DICCCOL models of diffusion MRI in 522 twins.

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

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Boosting classification accuracy of diffusion MRI derived brain networks for the subtypes of mild cognitive impairment using higher order singular value decomposition.

Liang Zhan, Yashu Liu, Jiayu Zhou, Jieping Ye, Paul M. Thompson

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Heritability of brain network topology in 853 twins and siblings.

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

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Detecting genetic risk factors for Alzheimer's disease in whole genome sequence data via Lasso screening.

Tao Yang, Jie Wang, Qian Sun, Derrek P. Hibar, Neda Jahanshad, Li Liu, Yalin Wang, Liang Zhan, Paul M. Thompson, Jieping Ye

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Automated multi-atlas labeling of the fornix and its integrity in alzheimer's disease.

Yan Jin, Yonggang Shi, Liang Zhan, Paul M. Thompson

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Identification of Discriminative Subgraph Patterns in fMRI Brain Networks in Bipolar Affective Disorder.

Bokai Cao, Liang Zhan, Xiangnan Kong, Philip S. Yu, Nathalie Vizueta, Lori L. Altshuler, Alex D. Leow

Proceedings of the Brain Informatics and Health - 8th International Conference, 2015

2014

Automatic clustering of white matter fibers in brain diffusion MRI with an application to genetics.

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

NeuroImage, 2014

Understanding scanner upgrade effects on brain integrity & connectivity measures.

Liang Zhan, Neda Jahanshad, Yan Jin, Talia M. Nir, Cassandra D. Leonardo, Matt A. Bernstein, Bret J. Borowski, Clifford R. Jack, Paul M. Thompson

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Evaluation of diffusion imaging protocols for the Alzheimer's disease Neuroimaging Initiative.

Liang Zhan, Matt A. Bernstein, Bret J. Borowski, Clifford R. Jack, Paul M. Thompson

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013

Constructing the resting state structural connectome.

Olusola Ajilore, Liang Zhan, Johnson J. GadElkarim, Aifeng Zhang, Jamie Feusner, Shaolin Yang, Paul M. Thompson, Anand R. Kumar, Alex D. Leow

Frontiers Neuroinformatics, 2013

Magnetic Resonance Field Strength Effects on Diffusion Measures and Brain Connectivity Networks.

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

Brain Connect., 2013

Rich Club Analysis of Structural Brain Connectivity at 7 Tesla Versus 3 Tesla.

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

Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013

Brain network efficiency and topology depend on the fiber tracking method: 11 tractography algorithms compared in 536 subjects.

Liang Zhan, Neda Jahanshad, Yan Jin, Arthur W. Toga, Katie McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Labeling white matter tracts in hardi by fusing multiple tract atlases with applications to genetics.

Yan Jin, Yonggang Shi, Liang Zhan, Greig I. de Zubicaray, Katie McMahon, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012

Hierarchical Structural Mapping for Globally Optimized Estimation of Functional Networks.

Alex D. Leow, Liang Zhan, Donatello Arienzo, Johnson J. GadElkarim, Aifeng Zhang, Olusola Ajilore, Anand R. Kumar, Paul M. Thompson, Jamie Feusner

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Automatic Population HARDI White Matter Tract Clustering by Label Fusion of Multiple Tract Atlases.

Yan Jin, Yonggang Shi, Liang Zhan, Junning Li, Greig I. de Zubicaray, Katie McMahon, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson

Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012

A Framework for Quantifying Node-Level Community Structure Group Differences in Brain Connectivity Networks.

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

How do spatial and angular resolution affect brain connectivity maps from diffusion MRI?

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

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Measuring inter-hemispheric integration in bipolar affective disorder using brain network analyses and HARDI.

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

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011

Heritability of White Matter Fiber Tract Shapes: A HARDI Study of 198 Twins.

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

Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011

Differential information content in staggered multiple shell hardi measured by the tensor distribution function.

Liang Zhan, Alex D. Leow, Iman Aganj, Christophe Lenglet, Guillermo Sapiro, Essa Yacoub, Noam Harel, Arthur W. Toga, Paul M. Thompson

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

TDF-TRACT: Probabilistic tractography using the tensor distribution function.

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

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010

How does angular resolution affect diffusion imaging measures?

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

NeuroImage, 2010

Diffusion tensor imaging in seven minutes: determining trade-offs between spatial and directional resolution.

Neda Jahanshad, Liang Zhan, Matt A. Bernstein, Bret J. Borowski, Clifford R. Jack, Arthur W. Toga, Paul M. Thompson

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009

A Novel Measure of Fractional Anisotropy Based on the Tensor Distribution Function.

Liang Zhan, Alex D. Leow, Siwei Zhu, Marina Barysheva, Arthur W. Toga, Katie McMahon, Greig I. de Zubicaray, Margaret J. Wright, Paul M. Thompson

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Analyzing Multi-Fiber Reconstruction in High Angular Resolution Diffusion Imaging Using the Tensor Distribution Function.

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

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

White Matter Integrity Measured by Fractional Anisotropy Correlates Poorly with Actual Individual Fiber Anisotropy.

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

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Segmenting Crossing Fiber Geometries Using Fluid Mechanics Tensor Distribution Function Tractography.

Nathan S. Hageman, Alex D. Leow, David W. Shattuck, Liang Zhan, Paul M. Thompson, Siwei Zhu, Arthur W. Toga

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

HARDI Denoising: Variational Regularization of the Spherical Apparent Diffusion Coefficient <i>sADC</i>.

Yunho Kim, Paul M. Thompson, Arthur W. Toga, Luminita A. Vese, Liang Zhan

Proceedings of the Information Processing in Medical Imaging, 2009