Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDajiang Zhu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j22]Lu Zhang, Li Wang, Dajiang Zhu
, Alzheimer's Disease Neuroimaging Initiative:
Predicting brain structural network using functional connectivity. Medical Image Anal. 79: 102463 (2022)- [j21]Jiadong Yan, Yuzhong Chen, Zhenxiang Xiao, Shu Zhang, Mingxin Jiang, Tianqi Wang, Tuo Zhang, Jinglei Lv, Benjamin Becker, Rong Zhang, Dajiang Zhu, Junwei Han, Dezhong Yao, Keith M. Kendrick, Tianming Liu, Xi Jiang:
Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs). Medical Image Anal. 80: 102518 (2022) - [c67]Tianji Pang, Dajiang Zhu, Tianming Liu, Junwei Han, Shijie Zhao:
Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network. MICCAI (1) 2022: 251-260 - [c66]Xiaowei Yu, Dan Hu, Lu Zhang, Ying Huang, Zhengwang Wu, Tianming Liu, Li Wang, Weili Lin, Dajiang Zhu, Gang Li:
Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network. MICCAI (8) 2022: 255-264 - [c65]Saed Rezayi, Haixing Dai, Zhengliang Liu, Zihao Wu, Akarsh Hebbar, Andrew H. Burns, Lin Zhao, Dajiang Zhu, Quanzheng Li, Wei Liu, Sheng Li, Tianming Liu, Xiang Li:
ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition. MLMI@MICCAI 2022: 269-278 - [c64]Haixing Dai, Qing Li, Lin Zhao, Liming Pan, Cheng Shi, Zhengliang Liu, Zihao Wu, Lu Zhang, Shijie Zhao, Xia Wu, Tianming Liu, Dajiang Zhu:
Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition. MLMI@MICCAI 2022: 279-287 - [c63]Lin Zhao, Zihao Wu, Haixing Dai, Zhengliang Liu, Tuo Zhang, Dajiang Zhu, Tianming Liu:
Embedding Human Brain Function via Transformer. MICCAI (1) 2022: 366-375 - [c62]Yanjun Lyu, Xiaowei Yu, Dajiang Zhu, Lu Zhang:
Classification of Alzheimer's Disease via Vision Transformer: Classification of Alzheimer's Disease via Vision Transformer. PETRA 2022: 463-468 - [e3]Anirban Mukhopadhyay, Ilkay Öksüz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan:
Deep Generative Models - Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13609, Springer 2022, ISBN 978-3-031-18575-5 [contents] - [i13]Xiaowei Yu, Lu Zhang, Lin Zhao, Yanjun Lyu, Tianming Liu, Dajiang Zhu:
Disentangling Spatial-Temporal Functional Brain Networks via Twin-Transformers. CoRR abs/2204.09225 (2022) - [i12]Yiheng Liu, Enjie Ge, Mengshen He, Zhengliang Liu, Shijie Zhao, Xintao Hu, Dajiang Zhu, Tianming Liu, Bao Ge:
Discovering Dynamic Functional Brain Networks via Spatial and Channel-wise Attention. CoRR abs/2205.09576 (2022) - [i11]Yuzhong Chen, Zhenxiang Xiao, Lin Zhao, Lu Zhang, Haixing Dai, David Weizhong Liu, Zihao Wu, Changhe Li, Tuo Zhang, Changying Li, Dajiang Zhu, Tianming Liu, Xi Jiang:
Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning. CoRR abs/2205.09995 (2022) - [i10]Li Yang, Zhibin He, Changhe Li, Junwei Han, Dajiang Zhu, Tianming Liu, Tuo Zhang:
Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution. CoRR abs/2205.10605 (2022) - [i9]Chong Ma, Lin Zhao, Yuzhong Chen, Lu Zhang, Zhenxiang Xiao, Haixing Dai, David Weizhong Liu, Zihao Wu, Zhengliang Liu, Sheng Wang, Jiaxing Gao, Changhe Li, Xi Jiang, Tuo Zhang, Qian Wang, Dinggang Shen, Dajiang Zhu, Tianming Liu:
Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning. CoRR abs/2205.12466 (2022) - [i8]Chong Ma, Lin Zhao, Yuzhong Chen, David Weizhong Liu, Xi Jiang, Tuo Zhang, Xintao Hu, Dinggang Shen, Dajiang Zhu, Tianming Liu:
Rectify ViT Shortcut Learning by Visual Saliency. CoRR abs/2206.08567 (2022) - [i7]Lin Zhao, Haixing Dai, Zihao Wu, Zhenxiang Xiao, Lu Zhang, David Weizhong Liu, Xintao Hu, Xi Jiang, Sheng Li, Dajiang Zhu, Tianming Liu:
Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations. CoRR abs/2206.10821 (2022) - [i6]Yuzhong Chen, Yu Du, Zhenxiang Xiao, Lin Zhao, Lu Zhang, David Weizhong Liu, Dajiang Zhu, Tuo Zhang, Xintao Hu, Tianming Liu, Xi Jiang:
A Unified and Biologically-Plausible Relational Graph Representation of Vision Transformers. CoRR abs/2206.11073 (2022) - [i5]Heng Huang, Lin Zhao, Xintao Hu, Haixing Dai, Lu Zhang, Dajiang Zhu, Tianming Liu:
BI AVAN: Brain inspired Adversarial Visual Attention Network. CoRR abs/2210.15790 (2022) - 2021
- [j20]Lu Zhang, Li Wang, Jean Gao, Shannon L. Risacher, Jingwen Yan, Gang Li, Tianming Liu, Dajiang Zhu:
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment. Medical Image Anal. 72: 102082 (2021) - [c61]Lin Zhao, Haixing Dai, Xi Jiang, Tuo Zhang, Dajiang Zhu, Tianming Liu:
Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder. MICCAI (7) 2021: 701-709 - [c60]Yanjun Lyu, Xiaowei Yu, Lu Zhang, Dajiang Zhu:
Classification of Mild Cognitive Impairment by Fusing Neuroimaging and Gene Expression Data: Classification of Mild Cognitive Impairment by Fusing Neuroimaging and Gene Expression Data. PETRA 2021: 26-32 - [e2]Sandy Engelhardt, Ilkay Öksüz, Dajiang Zhu, Yixuan Yuan, Anirban Mukhopadhyay, Nicholas Heller, Sharon Xiaolei Huang, Hien Van Nguyen, Raphael Sznitman, Yuan Xue:
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections - First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 13003, Springer 2021, ISBN 978-3-030-88209-9 [contents] - [i4]Lu Zhang, Li Wang, Dajiang Zhu:
Representing Alzheimer's Disease Progression via Deep Prototype Tree. CoRR abs/2102.06847 (2021) - 2020
- [c59]Lu Zhang, Li Wang, Dajiang Zhu:
Jointly Analyzing Alzheimer's Disease Related Structure-Function Using Deep Cross-Model Attention Network. ISBI 2020: 563-567 - [c58]Li Wang, Lu Zhang, Dajiang Zhu:
Learning Latent Structure Over Deep Fusion Model of Mild Cognitive Impairment. ISBI 2020: 1039-1043 - [c57]Lu Zhang, Li Wang, Dajiang Zhu:
Recovering Brain Structural Connectivity from Functional Connectivity via Multi-GCN Based Generative Adversarial Network. MICCAI (7) 2020: 53-61
2010 – 2019
- 2019
- [j19]Shu Zhang, Qinglin Dong, Wei Zhang, Heng Huang, Dajiang Zhu, Tianming Liu:
Discovering hierarchical common brain networks via multimodal deep belief network. Medical Image Anal. 54: 238-252 (2019) - [j18]Wei Zhang, Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Shu Zhang, Yu Zhao, Lei Guo, Jieping Ye, Dewen Hu, Tianming Liu:
Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data. IEEE Trans. Biomed. Eng. 66(1): 289-299 (2019) - [c56]Li Wang, Paul M. Thompson, Dajiang Zhu:
Analyzing Mild Cognitive Impairment Progression via Multi-view Structural Learning. IPMI 2019: 656-668 - [c55]Li Wang, Lu Zhang, Dajiang Zhu:
Accessing Latent Connectome of Mild Cognitive Impairment via Discriminant Structure Learning. ISBI 2019: 164-168 - [c54]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 - [c53]Akib Zaman, Lu Zhang, Jingwen Yan, Dajiang Zhu:
Multi-modal Image Prediction via Spatial Hybrid U-Net. MMMI@MICCAI 2019: 1-9 - [c52]Lu Zhang, Akib Zaman, Li Wang, Jingwen Yan, Dajiang Zhu:
A Cascaded Multi-modality Analysis in Mild Cognitive Impairment. MLMI@MICCAI 2019: 557-565 - [e1]Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec, Sarang C. Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer:
Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11846, Springer 2019, ISBN 978-3-030-33225-9 [contents] - 2018
- [c51]Li Wang, Dajiang Zhu, Yujie Chi:
Efficient Test-Time Predictor Learning With Group-Based Budget. AAAI 2018: 4187-4194 - [c50]Dajiang Zhu, Li Wang:
Exploring latent structures of Alzheimer's disease via structure learning. ISBI 2018: 536-540 - [c49]Shu Zhang, Tianming Liu, Dajiang Zhu:
Exploring Fiber Skeletons via Joint Representation of Functional Networks and Structural Connectivity. MICCAI (3) 2018: 357-366 - 2017
- [c48]Dajiang Zhu, Brandalyn C. Riedel, Neda Jahanshad, Nynke A. Groenewold, Dan J. Stein, Ian H. Gotlib, Matthew D. Sacchet, Danai Dima, James H. Cole, Cynthia H. Y. Fu, Henrik Walter, Ilya M. Veer, Thomas Frodl, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson:
Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model. MICCAI (3) 2017: 159-167 - [i3]Qingyang Li, Dajiang Zhu, Jie Zhang, Derrek Paul Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang:
Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression. CoRR abs/1704.08383 (2017) - [i2]Dajiang Zhu, Brandalyn C. Riedel, Neda Jahanshad, Nynke A. Groenewold, Dan J. Stein, Ian H. Gotlib, Danai Dima, James H. Cole, Cynthia H. Y. Fu, Henrik Walter, Ilya M. Veer, Thomas Frodl, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson:
Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model. CoRR abs/1705.10312 (2017) - 2016
- [j17]Tuo Zhang, Dajiang Zhu, Xi Jiang, Shu Zhang, Zhifeng Kou, Lei Guo, Tianming Liu:
Group-wise consistent cortical parcellation based on connectional profiles. Medical Image Anal. 32: 32-45 (2016) - [c47]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 - [c46]Dajiang Zhu, Binbin Lin, Joshua Faskowitz, Jieping Ye, Paul M. Thompson:
Embedded sparse representation of fMRI data via group-wise dictionary optimization. Medical Imaging: Image Processing 2016: 97841K - 2015
- [j16]Jinglei Lv, Xi Jiang, Xiang Li, Dajiang Zhu, Hanbo Chen, Tuo Zhang, Shu Zhang, Xintao Hu, Junwei Han, Heng Huang, Jing Zhang, Lei Guo, Tianming Liu:
Sparse representation of whole-brain fMRI signals for identification of functional networks. Medical Image Anal. 20(1): 112-134 (2015) - [j15]Xi Jiang, Tuo Zhang, Dajiang Zhu, Kaiming Li, Hanbo Chen, Jinglei Lv, Xintao Hu, Junwei Han, Dinggang Shen, Lei Guo, Tianming Liu:
Anatomy-Guided Dense Individualized and Common Connectivity-Based Cortical Landmarks (A-DICCCOL). IEEE Trans. Biomed. Eng. 62(4): 1108-1119 (2015) - [j14]Jinglei Lv, Xi Jiang, Xiang Li, Dajiang Zhu, Shu Zhang, Shijie Zhao, Hanbo Chen, Tuo Zhang, Xintao Hu, Junwei Han, Jieping Ye, Lei Guo, Tianming Liu:
Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function. IEEE Trans. Biomed. Eng. 62(4): 1120-1131 (2015) - [c45]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 - [c44]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 - [i1]Kun Zhang, Biwei Huang, Bernhard Schölkopf, Michel Besserve, Masataka Watanabe, Dajiang Zhu:
Towards Robust and Specific Causal Discovery from fMRI. CoRR abs/1509.08056 (2015) - 2014
- [j13]Xi Jiang, Xin Zhang, Dajiang Zhu:
Intrinsic Functional Component Analysis via Sparse Representation on Alzheimer's Disease Neuroimaging Initiative Database. Brain Connect. 4(8): 575-586 (2014) - [j12]Dajiang Zhu, Tuo Zhang, Xi Jiang, Xintao Hu, Hanbo Chen, Ning Yang, Jinglei Lv, Junwei Han, Lei Guo, Tianming Liu:
Fusing DTI and fMRI data: A survey of methods and applications. NeuroImage 102: 184-191 (2014) - [j11]Jinglei Lv, Lei Guo, Dajiang Zhu, Tuo Zhang, Xintao Hu, Junwei Han, Tianming Liu:
Group-Wise FMRI Activation Detection on DICCCOL Landmarks. Neuroinformatics 12(4): 513-534 (2014) - [c43]Xi Jiang, Jinglei Lv, Dajiang Zhu, Tuo Zhang, Xiang Li, Xintao Hu, Lei Guo, Tianming Liu:
Discovering network-level functional interactions from working memory fMRI data. ISBI 2014: 13-16 - [c42]Zhichao Lian, Xiang Li, Hongmiao Zhang, Hui Kuang, Kun Xie, Jianchuan Xing, Dajiang Zhu, Joe Z. Tsien, Tianming Liu, Jing Zhang:
Detecting cell assembly interaction patterns via Bayesian based change-point detection and graph inference model. ISBI 2014: 17-20 - [c41]Zhichao Lian, Jinglei Lv, Jianchuan Xing, Xiang Li, Xi Jiang, Dajiang Zhu, Jiansong Xu, Marc N. Potenza, Tianming Liu, Jing Zhang:
Generalized fMRI activation detection via Bayesian magnitude change point model. ISBI 2014: 21-24 - [c40]Dajiang Zhu, Dinggang Shen, Xi Jiang, Tianming Liu:
Connectomics signature for characterizaton of mild cognitive impairment and schizophrenia. ISBI 2014: 325-328 - [c39]Zhichao Lian, Xiang Li, Thomas Young, Yun Hao, Jianchuan Xing, Jinglei Lv, Xi Jiang, Dajiang Zhu, Tianming Liu, Jing Zhang:
Dynamic network partition via Bayesian connectivity bi-partition change point model. ISBI 2014: 545-548 - [c38]Dajiang Zhu, Xiang Li, Tianming Liu:
Sparse representation of working memory processes based on fMRI data. ISBI 2014: 584-587 - [c37]Zhichao Lian, Xiang Li, Jianchuan Xing, Jinglei Lv, Xi Jiang, Dajiang Zhu, Shu Zhang, Jiansong Xu, Marc N. Potenza, Tianming Liu, Jing Zhang:
Exploring functional brain dynamics via a Bayesian connectivity change point model. ISBI 2014: 600-603 - [c36]Xi Jiang, Jinglei Lv, Dajiang Zhu, Tuo Zhang, Xintao Hu, Lei Guo, Tianming Liu:
Integrating group-wise functional brain activities via point processes. ISBI 2014: 669-672 - [c35]Jinglei Lv, Tuo Zhang, Xintao Hu, Dajiang Zhu, Kaiming Li, Lei Guo, Tianming Liu:
Group-wise connection activation detection based on DICCCOL. ISBI 2014: 681-684 - [c34]Hanbo Chen, Kaiming Li, Dajiang Zhu, Lei Guo, Xi Jiang, Tianming Liu:
Group-wise optimization and individualized prediction of structural connectomes. ISBI 2014: 742-745 - [c33]Tuo Zhang, Dajiang Zhu, Xi Jiang, Lei Guo, Tianming Liu:
Group-wise consistent cortical parcellation based on DTI-derived connectional profiles. ISBI 2014: 826-829 - [c32]Dajiang Zhu, Jinglei Lv, Hanbo Chen, Tianming Liu:
Group-Wise Optimization of Common Brain Landmarks with Joint Structural and Functional Regulations. MICCAI (2) 2014: 716-723 - [c31]Shijie Zhao, Xi Jiang, Junwei Han, Xintao Hu, Dajiang Zhu, Jinglei Lv, Tuo Zhang, Lei Guo, Tianming Liu:
Decoding Auditory Saliency from FMRI Brain Imaging. ACM Multimedia 2014: 873-876 - 2013
- [j10]Tuo Zhang, Dajiang Zhu, Xi Jiang, Bao Ge, Xintao Hu, Junwei Han, Lei Guo, Tianming Liu:
Predicting cortical ROIs via joint modeling of anatomical and connectional profiles. Medical Image Anal. 17(6): 601-615 (2013) - [j9]Xin Zhang, Lei Guo, Xiang Li, Tuo Zhang, Dajiang Zhu, Kaiming Li, Hanbo Chen, Jinglei Lv, Changfeng Jin, Qun Zhao, Lingjiang Li, Tianming Liu:
Characterization of task-free and task-performance brain states via functional connectome patterns. Medical Image Anal. 17(8): 1106-1122 (2013) - [j8]Yixuan Yuan, Xi Jiang, Dajiang Zhu, Hanbo Chen, Kaiming Li, Peili Lv, Xiang Yu, Xiaojin Li, Shu Zhang, Tuo Zhang, Xintao Hu, Junwei Han, Lei Guo, Tianming Liu:
Meta-Analysis of Functional Roles of DICCCOLs. Neuroinformatics 11(1): 47-63 (2013) - [j7]Xintao Hu, Dajiang Zhu, Peili Lv, Kaiming Li, Junwei Han, Lihong Wang, Dinggang Shen, Lei Guo, Tianming Liu:
Fine-Granularity Functional Interaction Signatures for Characterization of Brain Conditions. Neuroinformatics 11(3): 301-317 (2013) - [j6]Fan Deng, Dajiang Zhu, Jinglei Lv, Lei Guo, Tianming Liu:
FMRI Signal Analysis Using Empirical Mean Curve Decomposition. IEEE Trans. Biomed. Eng. 60(1): 42-54 (2013) - [j5]Junwei Han, Xiang Ji, Xintao Hu, Dajiang Zhu, Kaiming Li, Xi Jiang, Guangbin Cui, Lei Guo, Tianming Liu:
Representing and Retrieving Video Shots in Human-Centric Brain Imaging Space. IEEE Trans. Image Process. 22(7): 2723-2736 (2013) - [c30]Dajiang Zhu, Xiang Li, Xi Jiang, Hanbo Chen, Dinggang Shen, Tianming Liu:
Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models. IPMI 2013: 13-24 - [c29]Bao Ge, Lei Guo, Dajiang Zhu, Tuo Zhang, Xintao Hu, Junwei Han, Tianming Liu:
Construction of Multi-scale Common Brain Networks Based on DICCCOL. IPMI 2013: 692-704 - [c28]Tuo Zhang, Dajiang Zhu, Xi Jiang, Lei Guo, Tianming Liu:
Predicting functional cortical ROIs via joint modeling of anatomical and connectional profiles. ISBI 2013: 516-519 - [c27]Peng Wang, Dajiang Zhu, Xiang Li, Hanbo Chen, Xi Jiang, Li Sun, Qingjiu Cao, Li An, Tianming Liu, Yufeng Wang:
Identifying functional connectomics abnormality in attention deficit hyperactivity disorder. ISBI 2013: 544-547 - [c26]Xiang Li, Dajiang Zhu, Xi Jiang, Changfeng Jin, Lei Guo, Lingjiang Li, Tianming Liu:
Discovering common functional connectomics signatures. ISBI 2013: 620-623 - [c25]Bao Ge, Lei Guo, Tuo Zhang, Dajiang Zhu, Xintao Hu, Junwei Han, Tianming Liu:
Construction of multi-scale brain networks via DICCCOL landmarks. ISBI 2013: 680-683 - [c24]Dajiang Zhu, Dinggang Shen, Tianming Liu:
Inferring functional network-based signatures via structurally-weighted LASSO model. ISBI 2013: 970-973 - [c23]Jia Chen, Jianfeng Lu, Hanbo Chen, Dajiang Zhu, Tianming Liu:
Assessing regularity and variability of cortical folding patterns of dicccols. ISBI 2013: 974-977 - [c22]Hanbo Chen, Kaiming Li, Dajiang Zhu, Tianming Liu:
Identifying consistent brain networks via maximizing predictability of functional connectome from structural connectome. ISBI 2013: 978-981 - [c21]Jinglei Lv, Dajiang Zhu, Xi Jiang, Kaiming Li, Xintao Hu, Junwei Han, Lei Guo, Tianming Liu:
Modeling Cognitive Processes via Multi-stage Consistent Functional Response Detection. MBIA 2013: 180-188 - [c20]Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Xin Zhang, Xintao Hu, Tuo Zhang, Lei Guo, Tianming Liu:
Sparse Representation of Group-Wise FMRI Signals. MICCAI (3) 2013: 608-616 - [c19]Xi Jiang, Tuo Zhang, Dajiang Zhu, Kaiming Li, Jinglei Lv, Lei Guo, Tianming Liu:
Anatomy-Guided Discovery of Large-Scale Consistent Connectivity-Based Cortical Landmarks. MICCAI (3) 2013: 617-625 - [c18]Shu Zhang, Xiang Li, Jinglei Lv, Xi Jiang, Dajiang Zhu, Hanbo Chen, Tuo Zhang, Lei Guo, Tianming Liu:
Sparse Representation of Higher-Order Functional Interaction Patterns in Task-Based FMRI Data. MICCAI (3) 2013: 626-634 - [c17]Jinglei Lv, Dajiang Zhu, Xintao Hu, Xin Zhang, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu:
Group-Wise FMRI Activation Detection on Corresponding Cortical Landmarks. MICCAI (2) 2013: 665-673 - [c16]Xi Jiang, Dajiang Zhu, Kaiming Li, Tuo Zhang, Dinggang Shen, Lei Guo, Tianming Liu:
Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI. MICCAI (2) 2013: 674-681 - 2012
- [j4]Dajiang Zhu, Kaiming Li, Carlos Cesar Faraco, Fan Deng, Degang Zhang, Lei Guo, L. Stephen Miller, Tianming Liu:
Optimization of functional brain ROIs via maximization of consistency of structural connectivity profiles. NeuroImage 59(2): 1382-1393 (2012) - [j3]Kaiming Li, Lei Guo, Carlos Faraco, Dajiang Zhu, Hanbo Chen, Yixuan Yuan, Jinglei Lv, Fan Deng, Xi Jiang, Tuo Zhang, Xintao Hu, Degang Zhang, L. Stephen Miller, Tianming Liu:
Visual analytics of brain networks. NeuroImage 61(1): 82-97 (2012) - [j2]Kaiming Li, Lei Guo, Dajiang Zhu, Xintao Hu, Junwei Han, Tianming Liu:
Individual Functional ROI Optimization Via Maximization of Group-Wise Consistency of Structural and Functional Profiles. Neuroinformatics 10(3): 225-242 (2012) - [c15]Fan Deng, Dajiang Zhu, Tianming Liu:
Optimization of fMRI-Derived ROIs Based on Coherent Functional Interaction Patterns. MICCAI (3) 2012: 214-222 - [c14]Xin Zhang, Lei Guo, Xiang Li, Dajiang Zhu, Kaiming Li, Zhenqiang Sun, Changfeng Jin, Xintao Hu, Junwei Han, Qun Zhao, Lingjiang Li, Tianming Liu:
Characterization of Task-Free/Task-Performance Brain States. MICCAI (2) 2012: 237-245 - [c13]Hanbo Chen, Xiao Cai, Dajiang Zhu, Feiping Nie, Tianming Liu, Heng Huang:
Group-Wise Consistent Parcellation of Gyri via Adaptive Multi-view Spectral Clustering of Fiber Shapes. MICCAI (2) 2012: 271-279 - [c12]Hanbo Chen, Kaiming Li, Dajiang Zhu, Tuo Zhang, Changfeng Jin, Lei Guo, Lingjiang Li, Tianming Liu:
Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-view Spectral Clustering. MICCAI (3) 2012: 297-304 - [c11]Bao Ge, Lei Guo, Tuo Zhang, Dajiang Zhu, Kaiming Li, Xintao Hu, Junwei Han, Tianming Liu:
Group-Wise Consistent Fiber Clustering Based on Multimodal Connectional and Functional Profiles. MICCAI (3) 2012: 485-492 - 2011
- [j1]Degang Zhang, Lei Guo, Xintao Hu, Kaiming Li, Dajiang Zhu, Xi Jiang, Hanbo Chen, Fan Deng, Qun Zhao, Tianming Liu:
Identification of cortical landmarks based on structural connectivity to subcortical regions. Int. J. Comput. Biol. Drug Des. 4(4): 345-360 (2011) - [c10]Dajiang Zhu, Degang Zhang, Carlos Faraco, Kaiming Li, Fan Deng, Hanbo Chen, Xi Jiang, Lei Guo, L. Stephen Miller, Tianming Liu:
Discovering Dense and Consistent Landmarks in the Brain. IPMI 2011: 97-110 - [c9]Jinglei Lv, Lei Guo, Kaiming Li, Xintao Hu, Dajiang Zhu, Junwei Han, Tianming Liu:
Activated Fibers: Fiber-Centered Activation Detection in Task-Based FMRI. IPMI 2011: 574-587 - [c8]Dajiang Zhu, Kaiming Li, Fan Deng, Degang Zhang, Xi Jiang, Hanbo Chen, Lei Guo, L. Stephen Miller, Tianming Liu:
Fine granularity parcellation of gyrus via fiber shape and connectivity based features. ISBI 2011: 817-821 - [c7]Dajiang Zhu, Kaiming Li, Carlos Faraco, Fan Deng, Degang Zhang, Xi Jiang, Hanbo Chen, Lei Guo, L. Stephen Miller, Tianming Liu:
Optimization of functional brain ROIs via maximization of consistency of structural connectivity profiles. ISBI 2011: 2150-2154 - [c6]Tuo Zhang, Lei Guo, Kaiming Li, Dajiang Zhu, Guangbin Cui, Tianming Liu:
Predicting Functional Brain ROIs via Fiber Shape Models. MICCAI (2) 2011: 42-49 - [c5]Degang Zhang, Lei Guo, Dajiang Zhu, Tuo Zhang, Xintao Hu, Kaiming Li, Xi Jiang, Hanbo Chen, Jinglei Lv, Fan Deng, Qun Zhao:
Identification of Cortical Landmarks Based on Consistent Connectivity to Subcortical Structures. MBIA 2011: 68-75 - 2010
- [c4]