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2020 – today
- 2025
[j20]Kai Ye
, Haoteng Tang, Siyuan Dai, Igor Fortel, Paul M. Thompson, Scott Mackin, Alex D. Leow, Heng Huang, Liang Zhan:
BPEN: Brain Posterior Evidential Network for trustworthy brain imaging analysis. Neural Networks 183: 106943 (2025)- 2024
- [j19]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): 7363-7375 (2024) - [c64]Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan:
Uncertainty Regularized Evidential Regression. AAAI 2024: 16460-16468 - [c63]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: 15421-15435 - [c62]Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang:
Brain Image Synthesis Using Incomplete Multimodal Data. ISBI 2024: 1-5 - [c61]Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang:
Neurodegenerative Disease Prediction via Transferable Deep Networks. ISBI 2024: 1-5 - [c60]Bao Hoang, Yijiang Pang, Siqi Liang, Liang Zhan, Paul M. Thompson, Jiayu Zhou:
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization. KDD 2024: 5105-5115 - [c59]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:
Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. MICCAI (2) 2024: 227-237 - [c58]Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang, Liang Zhan, Feng Zheng, Weiwen Jiang, Yanfu Zhang:
Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases. MICCAI (2) 2024: 378-388 - [i25]Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan:
Uncertainty Regularized Evidential Regression. CoRR abs/2401.01484 (2024) - [i24]Siyuan Dai, Kai Ye, Kun Zhao, Ge Cui, Haoteng Tang, Liang Zhan:
Constrained Multiview Representation for Self-supervised Contrastive Learning. CoRR abs/2402.03456 (2024) - [i23]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 abs/2404.01129 (2024) - [i22]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 abs/2405.00077 (2024) - [i21]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 abs/2405.13190 (2024) - [i20]Hoang Bao, Yijiang Pang, Siqi Liang, Liang Zhan, Paul M. Thompson, Jiayu Zhou:
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization. CoRR abs/2405.15081 (2024) - [i19]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 abs/2405.15924 (2024) - [i18]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 abs/2406.17911 (2024) - [i17]Feiyu Yin, Yu Lei, Siyuan Dai, Wenwen Zeng, Guoqing Wu, Liang Zhan, Jinhua Yu:
A Heterogeneous Graph Neural Network Fusing Functional and Structural Connectivity for MCI Diagnosis. CoRR abs/2411.08424 (2024) - [i16]Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang, Liang Zhan, Feng Zheng, Weiwen Jiang, Yanfu Zhang:
A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases. CoRR abs/2412.06212 (2024) - [i15]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:
Political-LLM: Large Language Models in Political Science. CoRR abs/2412.06864 (2024) - 2023
- [j18]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: 106698 (2023) - [j17]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: 107488 (2023) - [j16]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): 106381 (2023) - [j15]Thanos Manos, Sandra Diaz-Pier, Igor Fortel, Ira Driscoll, Liang Zhan, Alex D. Leow:
Enhanced simulations of whole-brain dynamics using hybrid resting-state structural connectomes. Frontiers Comput. Neurosci. 17 (2023) - [j14]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: 102674 (2023) - [j13]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): 493-506 (2023) - [c57]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: 138-148 - [c56]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: 94-103 - [i14]Reza Shirkavand, Liang Zhan, Heng Huang, Li Shen, Paul M. Thompson:
Incomplete Multimodal Learning for Complex Brain Disorders Prediction. CoRR abs/2305.16222 (2023) - 2022
- [j12]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) - [j11]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): 612 (2022) - [c55]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). IEEE Big Data 2022: 4968-4969 - [c54]Chenming Chang, Wei Yang, Chao Zheng, Ping Jiang, Liang Zhan, Qingyun Liu:
Accelerate State Sharing of Network Function with RDMA. GLOBECOM 2022: 1-6 - [c53]Haoteng Tang, Lei Guo, Xiyao Fu, Benjamin Qu, Paul M. Thompson, Heng Huang, Liang Zhan:
Hierarchical Brain Embedding Using Explainable Graph Learning. ISBI 2022: 1-5 - [c52]Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang:
Predicting Spatio-Temporal Human Brain Response Using fMRI. MICCAI (1) 2022: 336-345 - [c51]Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang:
Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer. MICCAI (1) 2022: 346-355 - [c50]Chongyue Zhao, Liang Zhan, Paul M. Thompson, Heng Huang:
Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior. MICCAI (1) 2022: 356-365 - [c49]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: 406-415 - [i13]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 abs/2204.07054 (2022) - [i12]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 abs/2205.07854 (2022) - [i11]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 abs/2207.02328 (2022) - [i10]Jun Yu, Zhaoming Kong, Liang Zhan, Li Shen, Lifang He:
Tensor-Based Multi-Modality Feature Selection and Regression for Alzheimer's Disease Diagnosis. CoRR abs/2209.11372 (2022) - 2021
- [j10]Zachery Morrissey, Liang Zhan, Olusola Ajilore, Alex D. Leow:
rest2vec: Vectorizing the resting-state functional connectome using graph embedding. NeuroImage 226: 117538 (2021) - [j9]Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan:
CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning. Neural Networks 143: 669-677 (2021) - [c48]Yanfu Zhang, Liang Zhan, Shandong Wu, Paul M. Thompson, Heng Huang:
Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes. MICCAI (7) 2021: 508-518 - [i9]Zhaoming Kong, Lichao Sun, Hao Peng, Liang Zhan, Yong Chen, Lifang He:
Multiplex Graph Networks for Multimodal Brain Network Analysis. CoRR abs/2108.00158 (2021) - [i8]Haoteng Tang, Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia, Liang Zhan:
Boundary-aware Graph Reasoning for Semantic Segmentation. CoRR abs/2108.03791 (2021) - [i7]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 abs/2108.03809 (2021) - 2020
- [c47]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: 1-5 - [c46]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: 288-291 - [c45]Chao Li, Haoteng Tang, Cheng Deng, Liang Zhan, Wei Liu:
Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning. KDD 2020: 421-429 - [c44]Qi Wang, Liang Zhan, Paul M. Thompson, Jiayu Zhou:
Multimodal Learning with Incomplete Modalities by Knowledge Distillation. KDD 2020: 1828-1838 - [c43]Wen Zhang, Liang Zhan, Paul M. Thompson, Yalin Wang:
Deep Representation Learning for Multimodal Brain Networks. MICCAI (7) 2020: 613-624 - [c42]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: 635-645 - [i6]Haoteng Tang, Guixiang Ma, Yurong Chen, Lei Guo, Wei Wang, Bo Zeng, Liang Zhan:
Adversarial Attack on Hierarchical Graph Pooling Neural Networks. CoRR abs/2005.11560 (2020) - [i5]Wen Zhang, Liang Zhan, Paul Thompson, Yalin Wang:
Deep Representation Learning For Multimodal Brain Networks. CoRR abs/2007.09777 (2020) - [i4]Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan:
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning. CoRR abs/2012.05980 (2020)
2010 – 2019
- 2019
- [j8]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: 152-160 (2019) - [c41]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: 169-172 - [c40]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: 30-38 - [c39]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: 84-92 - [c38]Yanfu Zhang, Liang Zhan, Weidong Cai, Paul Thompson, Heng Huang:
Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions. MICCAI (4) 2019: 214-222 - [c37]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: 503-511 - 2018
- [j7]Laura E. Korthauer, Liang Zhan, Olusola Ajilore, Alex D. Leow, Ira Driscoll:
Disrupted topology of the resting state structural connectome in middle-aged APOE ε4 carriers. NeuroImage 178: 295-305 (2018) - [c36]Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou:
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. KDD 2018: 2259-2268 - [c35]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: 367-374 - [i3]Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou:
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. CoRR abs/1802.06516 (2018) - 2017
- [j6]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): 167 (2017) - [c34]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: 223-228 - [c33]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: 341-344 - [c32]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: 520-524 - [c31]Qi Wang, Mengying Sun, Liang Zhan, Paul Thompson, Shuiwang Ji, Jiayu Zhou:
Multi-Modality Disease Modeling via Collective Deep Matrix Factorization. KDD 2017: 1155-1164 - [i2]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 abs/1706.10297 (2017) - 2016
- [c30]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: 554-558 - [c29]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: 568-572 - [c28]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: 1088-1092 - [c27]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: 335-343 - [i1]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 abs/1608.07251 (2016) - 2015
- [j5]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): 197-210 (2015) - [c26]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: 105-114 - [c25]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: 131-135 - [c24]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: 140-143 - [c23]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: 449-453 - [c22]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: 985-989 - [c21]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: 1167-1171 - [c20]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: 33-44 - 2014
- [j4]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: 75-90 (2014) - [c19]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: 234-237 - [c18]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: 710-713 - 2013
- [j3]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:
Magnetic Resonance Field Strength Effects on Diffusion Measures and Brain Connectivity Networks. Brain Connect. 3(1): 72-86 (2013) - [j2]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: 30 (2013) - [c17]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: 512-515 - [c16]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: 1134-1137 - [c15]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:
Rich Club Analysis of Structural Brain Connectivity at 7 Tesla Versus 3 Tesla. CDMRI/MMBC@MICCAI 2013: 209-218 - 2012
- [c14]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: 1-4 - [c13]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: 5-8 - [c12]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: 147-156 - [c11]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: 196-203 - [c10]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: 228-236 - 2011
- [c9]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: 305-309 - [c8]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: 812-816 - [c7]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: 35-43 - 2010
- [j1]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): 1357-1371 (2010) - [c6]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: 1161-1164
2000 – 2009
- 2009
- [c5]Yunho Kim, Paul M. Thompson, Arthur W. Toga, Luminita A. Vese, Liang Zhan:
HARDI Denoising: Variational Regularization of the Spherical Apparent Diffusion Coefficient sADC. IPMI 2009: 515-527 - [c4]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: 622-625 - [c3]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: 1390-1393 - [c2]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: 1402-1405 - [c1]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: 845-852
Coauthor Index
[j20] [c62] [c61] [c60] [c59] [i21] [i20] [j14] [c57] [c56] [i14] [c53] [c52] [c51] [c50] [i12] [c48] [c47] [c44] [c43] [i5] [c40] [c39] [c38] [c32] [c31] [c30] [c29] [c28] [c27] [i1] [c25] [c24] [c23] [c22] [c21] [c20] [j4] [c19] [c18] [j3] [j2] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [j1] [c6] [c5] [c4] [c3] [c2] [c1]
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