Tianming Liu

According to our database, Tianming Liu authored at least 288 papers between 2000 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2021

ATVHunter: Reliable Version Detection of Third-Party Libraries for Vulnerability Identification in Android Applications.

Xian Zhan, Lingling Fan, Sen Chen, Feng Wu, Tianming Liu, Xiapu Luo, Yang Liu

CoRR, 2021

2020

Deep Neural Networks for In Situ Hybridization Grid Completion and Clustering.

Yujie Li, Heng Huang, Hanbo Chen, Tianming Liu

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network.

Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Jinglei Lv, Heng Huang, Jing Yuan, Xi Jiang, Dinggang Shen, Tianming Liu

IEEE Trans. Biomed. Eng., 2020

Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs).

Yu Zhao, Xiang Li, Heng Huang, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu

IEEE Trans. Cogn. Dev. Syst., 2020

Modeling Brain Diverse and Complex Hemodynamic Response Patterns via Deep Recurrent Autoencoder.

Yan Cui, Shijie Zhao, Yaowu Chen, Junwei Han, Lei Guo, Li Xie, Tianming Liu

IEEE Trans. Cogn. Dev. Syst., 2020

Identifying Cross-individual Correspondences of 3-hinge Gyri.

Tuo Zhang, Ying Huang, Lin Zhao, Zhibin He, Xi Jiang, Lei Guo, Xiaoping Hu, Tianming Liu

Medical Image Anal., 2020

MadDroid: Characterising and Detecting Devious Ad Content for Android Apps.

Tianming Liu, Haoyu Wang, Li Li, Xiapu Luo, Feng Dong, Yao Guo, Liu Wang, Tegawendé F. Bissyandé, Jacques Klein

CoRR, 2020

Modeling task-based fMRI data via deep belief network with neural architecture search.

Ning Qiang, Qinglin Dong, Wei Zhang, Bao Ge, Fangfei Ge, Hongtao Liang, Yifei Sun, Jie Gao, Tianming Liu

Comput. Medical Imaging Graph., 2020

Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning.

Wei Zhang, Shijie Zhao, Xintao Hu, Qinglin Dong, Heng Huang, Shu Zhang, Yu Zhao, Haixing Dai, Fangfei Ge, Lei Guo, Tianming Liu

Brain Connect., 2020

Supervised Brain Network Learning Based on Deep Recurrent Neural Networks.

Shijie Zhao, Yan Cui, Linwei Huang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Shu Zhang, Tianming Liu, Jinglei Lv

IEEE Access, 2020

A Fractional-Order Chaotic System With Infinite Attractor Coexistence and its DSP Implementation.

Tianming Liu, Jiawu Yu, Huizhen Yan, Jun Mou

IEEE Access, 2020

MadDroid: Characterizing and Detecting Devious Ad Contents for Android Apps.

Tianming Liu, Haoyu Wang, Li Li, Xiapu Luo, Feng Dong, Yao Guo, Liu Wang, Tegawendé F. Bissyandé, Jacques Klein

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Species-Shared and -Specific Structural Connections Revealed by Dirty Multi-task Regression.

Tuo Zhang, Zhibin He, Xi Jiang, Lei Guo, Xiaoping Hu, Tianming Liu, Lei Du

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

Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization.

Songyao Zhang, Lei Du, Jinglei Lv, Zhibin He, Xi Jiang, Lei Guo, Li Wang, Tianming Liu, Dinggang Shen, Gang Li, Tuo Zhang

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Neural Architecture Search for Optimization of Spatial-Temporal Brain Network Decomposition.

Qing Li, Wei Zhang, Jinglei Lv, Xia Wu, Tianming Liu

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

Exploring Functional Difference Between Gyri and Sulci via Region-Specific 1D Convolutional Neural Networks.

Mingxin Jiang, Shimin Yang, Jiadong Yan, Shu Zhang, Huan Liu, Lin Zhao, Haixing Dai, Jinglei Lv, Tuo Zhang, Tianming Liu, Keith M. Kendrick, Xi Jiang

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Interwound Structural and Functional Difference Between Preterm and Term Infant Brains Revealed by Multi-view CCA.

Zhibin He, Shu Zhang, Songyao Zhang, Yin Zhang, Xintao Hu, Xi Jiang, Lei Guo, Tianming Liu, Lei Du, Tuo Zhang

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification.

Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li

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

Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE).

Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li

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

A Novel fMRI Representation Learning Framework with GAN.

Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Liang Dong, Tianming Liu, Quanzheng Li

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Automated Third-Party Library Detection for Android Applications: Are We There Yet?

Xian Zhan, Lingling Fan, Tianming Liu, Sen Chen, Li Li, Haoyu Wang, Yifei Xu, Xiapu Luo, Yang Liu

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Task fMRI Guided Fiber Clustering via a Deep Clustering Method.

Huan Wang, Qinglin Dong, Ning Qiang, Xin Zhang, Tianming Liu, Bao Ge

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

Deep Variational Autoencoder for Modeling Functional Brain Networks and ADHD Identification.

Ning Qiang, Qinglin Dong, Yifei Sun, Bao Ge, Tianming Liu

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

Optimize CNN Model for FMRI Signal Classification Via Adanet-Based Neural Architecture Search.

Haixing Dai, Fangfei Ge, Qing Li, Wei Zhang, Tianming Liu

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

2019

Recognizing Brain States Using Deep Sparse Recurrent Neural Network.

Han Wang, Shijie Zhao, Qinglin Dong, Yan Cui, Yaowu Chen, Junwei Han, Li Xie, Tianming Liu

IEEE Trans. Medical Imaging, 2019

Identifying Brain Networks at Multiple Time Scales via Deep Recurrent Neural Network.

Yan Cui, Shijie Zhao, Han Wang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Fan Zhou, Tianming Liu

IEEE J. Biomed. Health Informatics, 2019

Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data.

Wei Zhang, Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Shu Zhang, Yu Zhao, Lei Guo, Jieping Ye, Dewen Hu, Tianming Liu

IEEE Trans. Biomed. Eng., 2019

Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci.

Shu Zhang, Huan Liu, Heng Huang, Yu Zhao, Xi Jiang, Brook Bowers, Lei Guo, Xiaoping Hu, Mar Sanchez, Tianming Liu

IEEE Trans. Biomed. Eng., 2019

A Distributed Computing Platform for fMRI Big Data Analytics.

Milad Makkie, Xiang Li, Shannon Quinn, Binbin Lin, Jieping Ye, Geoffrey Mon, Tianming Liu

IEEE Trans. Big Data, 2019

Discovering hierarchical common brain networks via multimodal deep belief network.

Shu Zhang, Qinglin Dong, Wei Zhang, Heng Huang, Dajiang Zhu, Tianming Liu

Medical Image Anal., 2019

Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics.

Milad Makkie, Heng Huang, Yu Zhao, Athanasios V. Vasilakos, Tianming Liu

Neurocomputing, 2019

Training a Camera to Perform Long-Distance Eye Tracking by Another Eye-Tracker.

Wenyu Li, Qinglin Dong, Hao Jia, Shijie Zhao, Yongchen Wang, Li Xie, Qiang Pan, Feng Duan, Tianming Liu

IEEE Access, 2019

Exploring Brain Hemodynamic Response Patterns via Deep Recurrent Autoencoder.

Shijie Zhao, Yan Cui, Yaowu Chen, Xin Zhang, Wei Zhang, Huan Liu, Junwei Han, Lei Guo, Li Xie, Tianming Liu

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

Group-Wise Graph Matching of Cortical Gyral Hinges.

Tuo Zhang, Xiao Li, Lin Zhao, Ying Huang, Zhibin He, Lei Guo, Tianming Liu

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

3D Convolutional Long-Short Term Memory Network for Spatiotemporal Modeling of fMRI Data.

Wei Suo, Xintao Hu, Bowei Yan, Mengyang Sun, Lei Guo, Junwei Han, Tianming Liu

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

Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data.

Ning Qiang, Bao Ge, Qinglin Dong, Fangfei Ge, Tianming Liu

Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019

Identification of Abnormal Cortical 3-Hinge Folding Patterns on Autism Spectral Brains.

Ying Huang, Zhibin He, Tianming Liu, Lei Guo, Tuo Zhang

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

Multi-view Graph Matching of Cortical Landmarks.

Ying Huang, Zhibin He, Lei Guo, Tianming Liu, Tuo Zhang

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

Species-Preserved Structural Connections Revealed by Sparse Tensor CCA.

Zhibin He, Ying Huang, Tianming Liu, Lei Guo, Lei Du, Tuo Zhang

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

Identify Hierarchical Structures from Task-Based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net.

Wei Zhang, Lin Zhao, Qing Li, Shijie Zhao, Qinglin Dong, Xi Jiang, Tuo Zhang, Tianming Liu

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

DaPanda: Detecting Aggressive Push Notifications in Android Apps.

Tianming Liu, Haoyu Wang, Li Li, Guangdong Bai, Yao Guo, Guoai Xu

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

A Task Performance-guided Model of Functional Networks Identification.

Lin Zhao, Huan Liu, Xi Jiang, Shijie Zhao, Zhibin He, Tianming Liu, Lei Guo, Tuo Zhang

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

Two-Stage Spatial Temporal Deep Learning Framework For Functional Brain Network Modeling.

Yu Zhao, Haixing Dai, Wei Zhang, Fangfei Ge, Tianming Liu

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

A Two-Stage DBN-Based Method to Exploring Functional Brain Networks in Naturalistic Paradigm FMRI.

Yin Zhang, Xintao Hu, Chunlin He, Xiangning Wang, Yudan Ren, Huan Liu, Liting Wang, Lei Guo, Tianming Liu

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

Explore the Hierarchical Auditory Information Processing Via Deep Convolutional Autoencoder.

Liting Wang, Xintao Hu, Huan Liu, Heng Huang, Lei Guo, Tianming Liu

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

Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex.

Fangfei Ge, Shu Zhang, Heng Huang, Xi Jiang, Qinglin Dong, Lei Guo, Xianqiao Wang, Tianming Liu

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

Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders.

Qing Li, Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Han Wang, Heng Huang, Xia Wu, Tianming Liu

Proceedings of the Information Processing in Medical Imaging, 2019

2018

Learning to Predict Eye Fixations via Multiresolution Convolutional Neural Networks.

Nian Liu, Junwei Han, Tianming Liu, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2018

Modeling Task fMRI Data Via Deep Convolutional Autoencoder.

Heng Huang, Xintao Hu, Yu Zhao, Milad Makkie, Qinglin Dong, Shijie Zhao, Lei Guo, Tianming Liu

IEEE Trans. Medical Imaging, 2018

Probabilistic Methods in Computational Neuroscience.

Jing Zhang, Tianming Liu, Gopikrishna Deshpande

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks.

Yu Zhao, Qinglin Dong, Shu Zhang, Wei Zhang, Hanbo Chen, Xi Jiang, Lei Guo, Xintao Hu, Junwei Han, Tianming Liu

IEEE Trans. Biomed. Eng., 2018

Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex.

Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu

IEEE Trans. Biomed. Eng., 2018

Dual Temporal and Spatial Sparse Representation for Inferring Group-Wise Brain Networks From Resting-State fMRI Dataset.

Junhui Gong, Xiaoyan Liu, Tianming Liu, Jiansong Zhou, Gang Sun, Juanxiu Tian

IEEE Trans. Biomed. Eng., 2018

Decoding Auditory Saliency from Brain Activity Patterns during Free Listening to Naturalistic Audio Excerpts.

Shijie Zhao, Junwei Han, Xi Jiang, Heng Huang, Huan Liu, Jinglei Lv, Lei Guo, Tianming Liu

Neuroinformatics, 2018

Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs.

Jing Yuan, Xiang Li, Jinhe Zhang, Liao Luo, Qinglin Dong, Jinglei Lv, Yu Zhao, Xi Jiang, Shu Zhang, Wei Zhang, Tianming Liu

NeuroImage, 2018

Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization.

Yu Zhao, Fangfei Ge, Tianming Liu

Medical Image Anal., 2018

A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data.

Bao Ge, Xiang Li, Xi Jiang, Yifei Sun, Tianming Liu

Frontiers Neuroinformatics, 2018

Optimization of macaque brain DMRI connectome by neuron tracing and myelin stain data.

Tuo Zhang, Jun Kong, Ke Jing, Hanbo Chen, Xi Jiang, Longchuan Li, Lei Guo, Jianfeng Lu, Xiaoping Hu, Tianming Liu

Comput. Medical Imaging Graph., 2018

FraudDroid: automated ad fraud detection for Android apps.

Feng Dong, Haoyu Wang, Li Li, Yao Guo, Tegawendé F. Bissyandé, Tianming Liu, Guoai Xu, Jacques Klein

Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN).

Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu

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

Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks.

Yu Zhao, Shu Liao, Yimo Guo, Liang Zhao, Zhennan Yan, Sungmin Hong, Gerardo Hermosillo, Tianming Liu, Xiang Sean Zhou, Yiqiang Zhan

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

Identification of Species-Preserved Cortical Landmarks.

Tuo Zhang, Xiao Li, Lin Zhao, Ying Huang, Lei Guo, Tianming Liu

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

Exploring Fiber Skeletons via Joint Representation of Functional Networks and Structural Connectivity.

Shu Zhang, Tianming Liu, Dajiang Zhu

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

Identifying Brain Networks of Multiple Time Scales via Deep Recurrent Neural Network.

Yan Cui, Shijie Zhao, Han Wang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Fan Zhou, Tianming Liu

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

3D Deep Convolutional Neural Network Revealed the Value of Brain Network Overlap in Differentiating Autism Spectrum Disorder from Healthy Controls.

Yu Zhao, Fangfei Ge, Shu Zhang, Tianming Liu

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

Joint representation of cortical folding, structural connectivity and functional networks.

Shu Zhang, Tuo Zhang, Xiao Li, Lei Guo, Tianming Liu

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Modeling resting state fMRI data via longitudinal supervised stochastic coordinate coding.

Wei Zhang, Jinglei Lv, Shu Zhang, Yu Zhao, Tianming Liu

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Characterizing task-evoked and intrinsic functional networks from task-based fMRI data via two-stage sparse dictionary learning.

Huan Liu, Shijie Zhao, Xi Jiang, Shu Zhang, Xintao Hu, Lei Quo, Tianming Liu

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Latent source mining of fMRI data via deep belief network.

Lei Li, Xintao Hu, Heng Huang, Chunlin He, Liting Wang, Junwei Han, Lei Quo, Wei Zhang, Tianming Liu

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Modeling task fMRI data via mixture of deep expert networks.

Heng Huang, Xintao Hu, Qinglin Dong, Shijie Zhao, Shu Zhang, Yu Zhao, Lei Quo, Tianming Liu

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Exploring intrinsic networks and their interactions using group wise temporal sparse coding.

Fangfei Ge, Jinglei Lv, Xintao Hu, Lei Guo, Junwei Han, Shijie Zhao, Tianming Liu

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

A novel framework for analyzing cortical folding patterns based on sulcal baselines and gyral crestlines.

Fangfei Ge, Hanbo Chen, Tuo Zhang, Xianqiao Wang, Lin Yuan, Xintao Hu, Lei Guo, Tianming Liu

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Dynamic Time-frequency Feature Extraction for Brain Activity Recognition.

Yang Shi, Fangyu Li, Tianming Liu, Fred R. Beyette, Wen-Zhan Song

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Transcriptome Architecture of Adult Mouse Brain Revealed by Sparse Coding of Genome-Wide In Situ Hybridization Images.

Yujie Li, Hanbo Chen, Xi Jiang, Xiang Li, Jinglei Lv, Meng Li, Hanchuan Peng, Joe Z. Tsien, Tianming Liu

Neuroinformatics, 2017

Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder.

Yu Zhao, Qinglin Dong, Hanbo Chen, Armin Iraji, Yujie Li, Milad Makkie, Zhifeng Kou, Tianming Liu

Medical Image Anal., 2017

Task fMRI data analysis based on supervised stochastic coordinate coding.

Jinglei Lv, Binbin Lin, Qingyang Li, Wei Zhang, Yu Zhao, Xi Jiang, Lei Guo, Junwei Han, Xintao Hu, Christine Cong Guo, Jieping Ye, Tianming Liu

Medical Image Anal., 2017

Gyral net: A new representation of cortical folding organization.

Hanbo Chen, Yujie Li, Fangfei Ge, Gang Li, Dinggang Shen, Tianming Liu

Medical Image Anal., 2017

Mechanisms of circumferential gyral convolution in primate brains.

Tuo Zhang, Mir Jalil Razavi, Hanbo Chen, Yujie Li, Xiao Li, Longchuan Li, Lei Guo, Xiaoping Hu, Tianming Liu, Xianqiao Wang

J. Comput. Neurosci., 2017

Radial Structure Scaffolds Convolution Patterns of Developing Cerebral Cortex.

Mir Jalil Razavi, Tuo Zhang, Hanbo Chen, Yujie Li, Simon Platt, Yu Zhao, Lei Guo, Xiaoping Hu, Xianqiao Wang, Tianming Liu

Frontiers Comput. Neurosci., 2017

Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.

Milad Makkie, Xiang Li, Binbin Lin, Jieping Ye, Mojtaba Sedigh Fazli, Tianming Liu, Shannon Quinn

CoRR, 2017

Fast assembling of neuron fragments in serial 3D sections.

Hanbo Chen, Daniel Maxim Iascone, Nuno Maçarico da Costa, Ed Lein, Tianming Liu, Hanchuan Peng

Brain Informatics, 2017

Multi-way Regression Reveals Backbone of Macaque Structural Brain Connectivity in Longitudinal Datasets.

Tuo Zhang, Xiao Li, Lin Zhao, Xintao Hu, Tianming Liu, Lei Guo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Joint Representation of Connectome-Scale Structural and Functional Profiles for Identification of Consistent Cortical Landmarks in Human Brains.

Shu Zhang, Xi Jiang, Tianming Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

A novel framework for groupwise registration of fMRI images based on common functional networks.

Yu Zhao, Shu Zhang, Hanbo Chen, Wei Zhang, Jinglei Lv, Xi Jiang, Dinggang Shen, Tianming Liu

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

Template-guided Functional Network Identification via Supervised Dictionary Learning.

Yu Zhao, Xiang Li, Milad Makkie, Shannon Quinn, Binbin Lin, Jieping Ye, Tianming Liu

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

Exploring human brain activation via nested sparse coding and functional operators.

Shu Zhang, Xiang Li, Lei Guo, Tianming Liu

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

Group-wise sparse representation of resting-state fMRI data for better understanding of schizophrenia.

Lin Yuan, Tianming Liu, Dewen Hu

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

Decoding dynamic auditory attention during naturalistic experience.

Liting Wang, Xintao Hu, Meng Wang, Jinglei Lv, Junwei Han, Shijie Zhao, Qinglin Dong, Lei Guo, Tianming Liu

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

3-D functional brain network classification using Convolutional Neural Networks.

Dehua Ren, Yu Zhao, Hanbo Chen, Qinglin Dong, Jinglei Lv, Tianming Liu

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

FMRI data classification based on hybrid temporal and spatial sparse representation.

Huan Liu, Mianzhi Zhang, Xintao Hu, Yudan Ren, Shu Zhang, Junwei Han, Lei Guo, Tianming Liu

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

Predicting cortical 3-hinge locations via structural connective features.

Xiao Li, Tuo Zhang, Qinglin Dong, Shu Zhang, Xintao Hu, Lei Du, Lei Guo, Tianming Liu

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

Inter-subject fMRI registration based on functional networks.

Hanbo Chen, Yu Zhao, Yujie Li, Jinglei Lv, Tianming Liu

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

Modeling Task fMRI Data via Deep Convolutional Autoencoder.

Heng Huang, Xintao Hu, Milad Makkie, Qinglin Dong, Yu Zhao, Junwei Han, Lei Guo, Tianming Liu

Proceedings of the Information Processing in Medical Imaging, 2017

2016

Two-Stage Learning to Predict Human Eye Fixations via SDAEs.

Junwei Han, Dingwen Zhang, Shifeng Wen, Lei Guo, Tianming Liu, Xuelong Li

IEEE Trans. Cybern., 2016

Predicting Movie Trailer Viewer's "Like/Dislike" via Learned Shot Editing Patterns.

Yimin Hou, Ting Xiao, Shu Zhang, Xi Jiang, Xiang Li, Xintao Hu, Junwei Han, Lei Guo, L. Stephen Miller, Richard Neupert, Tianming Liu

IEEE Trans. Affect. Comput., 2016

Group-wise consistent cortical parcellation based on connectional profiles.

Tuo Zhang, Dajiang Zhu, Xi Jiang, Shu Zhang, Zhifeng Kou, Lei Guo, Tianming Liu

Medical Image Anal., 2016

Automatic motion tracking and data analysis system for a rat.

Zhiwen Zhang, Jingtao Guan, Wennan Chang, Wenjuan Wang, Mingwei Sun, Masato Odagaki, Tianming Liu, Feng Duan

Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016

Development of a human computer interaction system based on multi-modal gaze tracking methods.

Shuning Han, Rensong Liu, Chi Zhu, Yew Guan Soo, Haoyong Yu, Tianming Liu, Feng Duan

Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016

What Makes a Good Movie Trailer?: Interpretation from Simultaneous EEG and Eyetracker Recording.

Sidi Liu, Jinglei Lv, Yimin Hou, Ting Shoemaker, Qinglin Dong, Kaiming Li, Tianming Liu

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Exploring Brain Networks via Structured Sparse Representation of fMRI Data.

Qinghua Zhao, Jianfeng Lu, Jinglei Lv, Xi Jiang, Shijie Zhao, Tianming Liu

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

A Multi-stage Sparse Coding Framework to Explore the Effects of Prenatal Alcohol Exposure.

Shijie Zhao, Junwei Han, Jinglei Lv, Xi Jiang, Xintao Hu, Shu Zhang, Mary Ellen Lynch, Claire Coles, Lei Guo, Xiaoping Hu, Tianming Liu

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

Temporal Concatenated Sparse Coding of Resting State fMRI Data Reveal Network Interaction Changes in mTBI.

Jinglei Lv, Armin Iraji, Fangfei Ge, Shijie Zhao, Xintao Hu, Tuo Zhang, Junwei Han, Lei Guo, Zhifeng Kou, Tianming Liu

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

Species Preserved and Exclusive Structural Connections Revealed by Sparse CCA.

Xiao Li, Lei Du, Tuo Zhang, Xintao Hu, Xi Jiang, Lei Guo, Tianming Liu

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

Discover Mouse Gene Coexpression Landscape Using Dictionary Learning and Sparse Coding.

Yujie Li, Hanbo Chen, Xi Jiang, Xiang Li, Jinglei Lv, Hanchuan Peng, Joe Z. Tsien, Tianming Liu

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

Modeling Functional Dynamics of Cortical Gyri and Sulci.

Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Tianming Liu

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

Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis.

Xiang Li, Milad Makkie, Binbin Lin, Mojtaba Sedigh Fazli, Ian Davidson, Jieping Ye, Tianming Liu, Shannon Quinn

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Identifying autism biomarkers in default mode network using sparse representation of resting-state fMRI data.

Yudan Ren, Xintao Hu, Jinglei Lv, Lei Quo, Junwei Han, Tianming Liu

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

Identifying group-wise consistent sub-networks via spatial sparse representation of natural stimulus FMRI data.

Cheng Lyu, Xiang Li, Jinglei Lv, Xintao Hu, Junwei Han, Lei Quo, Tianming Liu

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

Group-wise sparse representation of brain states reveal network abnormalities in mild traumatic brain injury.

Jinglei Lv, Armin Iraji, Hanbo Chen, Fangfei Ge, Lei Guo, Xin Zhang, Zhifeng Kou, Tianming Liu

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

A data-driven method to study brain structural connectivities via joint analysis of microarray data and dMRI data.

Xiao Li, Tuo Zhang, Tao Liu, Jinglei Lv, Xintao Hu, Lei Guo, Tianming Liu

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

Modeling functional network dynamics via multi-scale dictionary learning and network continuums.

Xiang Li, Binbin Lin, Jinglei Lv, Jieping Ye, Tianming Liu

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

Multple-demand system identification and characterization via sparse representations of fMRI data.

Xiang Li, Qinglin Dong, Xi Jiang, Jinglei Lv, Tianming Liu

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

Latent source mining in FMRI data via deep neural network.

Heng Huang, Xintao Hu, Junwei Han, Jinglei Lv, Nian Liu, Lei Guo, Tianming Liu

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

Exploring auditory network composition during free listening to audio excerpts via group-wise sparse representation.

Shijie Zhao, Junwei Han, Xi Jiang, Xintao Hu, Jinglei Lv, Shu Zhang, Bao Ge, Lei Guo, Tianming Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Implementing dictionary learning in Apache Flink, Or: How I learned to relax and love iterations.

Geoffrey Mon, Milad Makkie, Xiang Li, Tianming Liu, Shannon Quinn

Proceedings of the 2016 IEEE International Conference on Big Data, 2016

Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.

Milad Makkie, Xiang Li, Tianming Liu, Shannon Quinn, Binbin Lin, Jieping Ye

Proceedings of the 2016 IEEE International Conference on Big Data, 2016

2015

Supervised Dictionary Learning for Inferring Concurrent Brain Networks.

Shijie Zhao, Junwei Han, Jinglei Lv, Xi Jiang, Xintao Hu, Yu Zhao, Bao Ge, Lei Guo, Tianming Liu

IEEE Trans. Medical Imaging, 2015

Morphological Analysis of the Left Ventricular Endocardial Surface Using a Bag-of-Features Descriptor.

Anirban Mukhopadhyay, Zhen Qian, Suchendra M. Bhandarkar, Tianming Liu, Szilard Voros, Sarah Rinehart

IEEE J. Biomed. Health Informatics, 2015

Learning Computational Models of Video Memorability from fMRI Brain Imaging.

Junwei Han, Changyuan Chen, Ling Shao, Xintao Hu, Jungong Han, Tianming Liu

IEEE Trans. Cybern., 2015

Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function.

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

IEEE Trans. Biomed. Eng., 2015

Anatomy-Guided Dense Individualized and Common Connectivity-Based Cortical Landmarks (A-DICCCOL).

Xi Jiang, Tuo Zhang, Dajiang Zhu, Kaiming Li, Hanbo Chen, Jinglei Lv, Xintao Hu, Junwei Han, Dinggang Shen, Lei Guo, Tianming Liu

IEEE Trans. Biomed. Eng., 2015

Guest Editorial Multimodal Modeling and Analysis Informed by Brain Imaging - Part 1.

Junwei Han, Tianming Liu, Christine Cong Guo, Deniz Erdogmus, John (Juyang) Weng

IEEE Trans. Auton. Ment. Dev., 2015

Sparsity-Constrained fMRI Decoding of Visual Saliency in Naturalistic Video Streams.

Xintao Hu, Cheng Lv, Gong Cheng, Jinglei Lv, Lei Guo, Junwei Han, Tianming Liu

IEEE Trans. Auton. Ment. Dev., 2015

Decoding Semantics Categorization during Natural Viewing of Video Streams.

Xintao Hu, Lei Guo, Junwei Han, Tianming Liu

IEEE Trans. Auton. Ment. Dev., 2015

Arousal Recognition Using Audio-Visual Features and FMRI-Based Brain Response.

Junwei Han, Xiang Ji, Xintao Hu, Lei Guo, Tianming Liu

IEEE Trans. Affect. Comput., 2015

Optimization of large-scale mouse brain connectome via joint evaluation of DTI and neuron tracing data.

Hanbo Chen, Tao Liu, Yu Zhao, Tuo Zhang, Yujie Li, Meng Li, Hongmiao Zhang, Hui Kuang, Lei Guo, Joe Z. Tsien, Tianming Liu

NeuroImage, 2015

Sparse representation of whole-brain fMRI signals for identification of functional networks.

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

Medical Image Anal., 2015

Analysis of music/speech via integration of audio content and functional brain response.

Xiang Ji, Junwei Han, Xi Jiang, Xintao Hu, Lei Guo, Jungong Han, Ling Shao, Tianming Liu

Inf. Sci., 2015

HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI).

Milad Makkie, Shijie Zhao, Xi Jiang, Jinglei Lv, Yu Zhao, Bao Ge, Xiang Li, Junwei Han, Tianming Liu

Brain Informatics, 2015

SmartTracing: self-learning-based Neuron reconstruction.

Hanbo Chen, Hang Xiao, Tianming Liu, Hanchuan Peng

Brain Informatics, 2015

Multi-scale and Multimodal Fusion of Tract-Tracing, Myelin Stain and DTI-derived Fibers in Macaque Brains.

Tuo Zhang, Jun Kong, Ke Jing, Hanbo Chen, Xi Jiang, Longchuan Li, Lei Guo, Jianfeng Lu, Xiaoping Hu, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Distance Networks for Morphological Profiling and Characterization of DICCCOL Landmarks.

Yue Yuan, Hanbo Chen, Jianfeng Lu, Tuo Zhang, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding.

Jinglei Lv, Binbin Lin, Wei Zhang, Xi Jiang, Xintao Hu, Junwei Han, Lei Guo, Jieping Ye, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Fiber Connection Pattern-Guided Structured Sparse Representation of Whole-Brain fMRI Signals for Functional Network Inference.

Xi Jiang, Tuo Zhang, Qinghua Zhao, Jianfeng Lu, Lei Guo, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Longitudinal Analysis of Brain Recovery after Mild Traumatic Brain Injury Based on Groupwise Consistent Brain Network Clusters.

Hanbo Chen, Armin Iraji, Xi Jiang, Jinglei Lv, Zhifeng Kou, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Characterizing and differentiating task-based and resting state FMRI signals via two-stage dictionary learning.

Shu Zhang, Xiang Li, Jinglei Lv, Xi Jiang, Bao Ge, Lei Guo, Tianming Liu

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

Group-wise consistent sulcal fundi segmentation based on DMRI-derived ODF features.

Tuo Zhang, Hanbo Chen, Xi Jiang, Bao Ge, Lei Guo, Tianming Liu

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

Interactive exemplar-based segmentation toolkit for biomedical image analysis.

Xiang Li, Zhi Zhou, Philipp Keller, Hongkui Zeng, Tianming Liu, Hanchuan Peng

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

Multiscale and multimodal fusion of tract-tracing and DTI-derived fibers in macaque brains.

Ke Jing, Tuo Zhang, Jianfeng Lu, Hanbo Chen, Xi Jiang, Lei Guo, Longchuan Li, Xiaoping Hu, Jinglei Lv, Bao Ge, Tianming Liu

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

Signal sampling for efficient sparse representation of resting state FMRI data.

Bao Ge, Jin Wang, Jinglei Lv, Shu Zhang, Shijie Zhao, Wei Zhang, Qinghua Zhao, Xiang Li, Xi Jiang, Junwei Han, Lei Guo, Tianming Liu

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

Deriving ADHD biomarkers with sparse coding based network analysis.

Fangfei Ge, Jinglei Lv, Xintao Hu, Bao Ge, Lei Guo, Junwei Han, Tianming Liu

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

Dynamic Bayesian brain network partition and connectivity change point detection.

Zhichao Lian, Xiang Li, Yi Pan, Xuan Guo, Le Chen, Guantao Chen, Zhihui Wei, Tianming Liu, Jing Zhang

Proceedings of the 5th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2015

Predicting eye fixations using convolutional neural networks.

Nian Liu, Junwei Han, Dingwen Zhang, Shifeng Wen, Tianming Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Learning coarse-to-fine sparselets for efficient object detection and scene classification.

Gong Cheng, Junwei Han, Lei Guo, Tianming Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Merging Neuroimaging and Multimedia: Methods, Opportunities, and Challenges.

Tianming Liu, Xintao Hu, Xiaojin Li, Mo Chen, Junwei Han, Lei Guo

IEEE Trans. Hum. Mach. Syst., 2014

Group-Wise FMRI Activation Detection on DICCCOL Landmarks.

Jinglei Lv, Lei Guo, Dajiang Zhu, Tuo Zhang, Xintao Hu, Junwei Han, Tianming Liu

Neuroinformatics, 2014

Fusing DTI and fMRI data: A survey of methods and applications.

Dajiang Zhu, Tuo Zhang, Xi Jiang, Xintao Hu, Hanbo Chen, Ning Yang, Jinglei Lv, Junwei Han, Lei Guo, Tianming Liu

NeuroImage, 2014

Interactive object-based image retrieval and annotation on iPad.

Junwei Han, Ming Xu, Xin Li, Lei Guo, Tianming Liu

Multim. Tools Appl., 2014

Characterization of U-shape streamline fibers: Methods and applications.

Tuo Zhang, Hanbo Chen, Lei Guo, Kaiming Li, Longchuan Li, Shu Zhang, Dinggang Shen, Xiaoping Hu, Tianming Liu

Medical Image Anal., 2014

Mathematical Approaches in Advanced Control Theories 2013.

Baocang Ding, Weihai Zhang, Tianming Liu, Xianxia Zhang, Dewei Li, Tao Zou

J. Appl. Math., 2014

Video abstraction based on fMRI-driven visual attention model.

Junwei Han, Kaiming Li, Ling Shao, Xintao Hu, Sheng He, Lei Guo, Jungong Han, Tianming Liu

Inf. Sci., 2014

Clustering and retrieval of video shots based on natural stimulus fMRI.

Junwei Han, Xiang Ji, Xintao Hu, Jungong Han, Tianming Liu

Neurocomputing, 2014

Decoding Auditory Saliency from FMRI Brain Imaging.

Shijie Zhao, Xi Jiang, Junwei Han, Xintao Hu, Dajiang Zhu, Jinglei Lv, Tuo Zhang, Lei Guo, Tianming Liu

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Group-Wise Optimization of Common Brain Landmarks with Joint Structural and Functional Regulations.

Dajiang Zhu, Jinglei Lv, Hanbo Chen, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Construct and Assess Multimodal Mouse Brain Connectomes via Joint Modeling of Multi-scale DTI and Neuron Tracer Data.

Hanbo Chen, Yu Zhao, Tuo Zhang, Hongmiao Zhang, Hui Kuang, Meng Li, Joe Z. Tsien, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Connectomics signature for characterizaton of mild cognitive impairment and schizophrenia.

Dajiang Zhu, Dinggang Shen, Xi Jiang, Tianming Liu

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

Sparse representation of working memory processes based on fMRI data.

Dajiang Zhu, Xiang Li, Tianming Liu

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

Group-wise consistent cortical parcellation based on DTI-derived connectional profiles.

Tuo Zhang, Dajiang Zhu, Xi Jiang, Lei Guo, Tianming Liu

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

Learning fMRI-guided predictor of video shot changes.

Shu Zhang, Xintao Hu, Jinglei Lv, Tuo Zhang, Xiang Li, Xi Jiang, Lei Guo, Tianming Liu

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

Group-wise connection activation detection based on DICCCOL.

Jinglei Lv, Tuo Zhang, Xintao Hu, Dajiang Zhu, Kaiming Li, Lei Guo, Tianming Liu

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

Exploring consistent functional brain networks during free viewing of videos via sparse representation.

Cheng Lv, Xintao Hu, Junwei Han, Gong Cheng, Xiang Li, Lei Guo, Tianming Liu

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

Detecting cell assembly interaction patterns via Bayesian based change-point detection and graph inference model.

Zhichao Lian, Xiang Li, Hongmiao Zhang, Hui Kuang, Kun Xie, Jianchuan Xing, Dajiang Zhu, Joe Z. Tsien, Tianming Liu, Jing Zhang

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

Dynamic network partition via Bayesian connectivity bi-partition change point model.

Zhichao Lian, Xiang Li, Thomas Young, Yun Hao, Jianchuan Xing, Jinglei Lv, Xi Jiang, Dajiang Zhu, Tianming Liu, Jing Zhang

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

Exploring functional brain dynamics via a Bayesian connectivity change point model.

Zhichao Lian, Xiang Li, Jianchuan Xing, Jinglei Lv, Xi Jiang, Dajiang Zhu, Shu Zhang, Jiansong Xu, Marc N. Potenza, Tianming Liu, Jing Zhang

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

Generalized fMRI activation detection via Bayesian magnitude change point model.

Zhichao Lian, Jinglei Lv, Jianchuan Xing, Xiang Li, Xi Jiang, Dajiang Zhu, Jiansong Xu, Marc N. Potenza, Tianming Liu, Jing Zhang

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

Discovering network-level functional interactions from working memory fMRI data.

Xi Jiang, Jinglei Lv, Dajiang Zhu, Tuo Zhang, Xiang Li, Xintao Hu, Lei Guo, Tianming Liu

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

Integrating group-wise functional brain activities via point processes.

Xi Jiang, Jinglei Lv, Dajiang Zhu, Tuo Zhang, Xintao Hu, Lei Guo, Tianming Liu

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

Evolutionarily-preserved consistent gyral folding patterns across primate brains.

Hanbo Chen, Xiang Yu, Xi Jiang, Kaiming Li, Longchuan Li, Xintao Hu, Junwei Han, Lei Guo, Xiaoping Hu, Tianming Liu

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

Group-wise optimization and individualized prediction of structural connectomes.

Hanbo Chen, Kaiming Li, Dajiang Zhu, Lei Guo, Xi Jiang, Tianming Liu

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

2013

Representing and Retrieving Video Shots in Human-Centric Brain Imaging Space.

Junwei Han, Xiang Ji, Xintao Hu, Dajiang Zhu, Kaiming Li, Xi Jiang, Guangbin Cui, Lei Guo, Tianming Liu

IEEE Trans. Image Process., 2013

An Object-Oriented Visual Saliency Detection Framework Based on Sparse Coding Representations.

Junwei Han, Sheng He, Xiaoliang Qian, Dongyang Wang, Lei Guo, Tianming Liu

IEEE Trans. Circuits Syst. Video Technol., 2013

Grand Challenges in Mapping the Human Brain: NSF Workshop Report.

Bin He, Todd P. Coleman, Guy M. Genin, Gary Glover, Xiaoping Hu, Nessa Johnson, Tianming Liu, Scott Makeig, Paul Sajda, Kaiming Ye

IEEE Trans. Biomed. Eng., 2013

FMRI Signal Analysis Using Empirical Mean Curve Decomposition.

Fan Deng, Dajiang Zhu, Jinglei Lv, Lei Guo, Tianming Liu

IEEE Trans. Biomed. Eng., 2013

Meta-Analysis of Functional Roles of DICCCOLs.

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

Neuroinformatics, 2013

Detecting Brain State Changes via Fiber-Centered Functional Connectivity Analysis.

Xiang Li, Chulwoo Lim, Kaiming Li, Lei Guo, Tianming Liu

Neuroinformatics, 2013

Fine-Granularity Functional Interaction Signatures for Characterization of Brain Conditions.

Xintao Hu, Dajiang Zhu, Peili Lv, Kaiming Li, Junwei Han, Lihong Wang, Dinggang Shen, Lei Guo, Tianming Liu

Neuroinformatics, 2013

Resting State fMRI-guided Fiber Clustering: Methods and Applications.

Bao Ge, Lei Guo, Tuo Zhang, Xintao Hu, Junwei Han, Tianming Liu

Neuroinformatics, 2013

Predicting cortical ROIs via joint modeling of anatomical and connectional profiles.

Tuo Zhang, Dajiang Zhu, Xi Jiang, Bao Ge, Xintao Hu, Junwei Han, Lei Guo, Tianming Liu

Medical Image Anal., 2013

Characterization of task-free and task-performance brain states via functional connectome patterns.

Xin Zhang, Lei Guo, Xiang Li, Tuo Zhang, Dajiang Zhu, Kaiming Li, Hanbo Chen, Jinglei Lv, Changfeng Jin, Qun Zhao, Lingjiang Li, Tianming Liu

Medical Image Anal., 2013

A Comparative Study of Theoretical Graph Models for Characterizing Structural Networks of Human Brain.

Xiaojin Li, Xintao Hu, Changfeng Jin, Junwei Han, Tianming Liu, Lei Guo, Wei Hao, Lingjiang Li

Int. J. Biomed. Imaging, 2013

Morphological Analusis Of The Left Ventricular Eendocardial Surface Using A Bag-Of-Features Descriptor

Anirban Mukhopadhyay, Zhen Qian, Suchendra M. Bhandarkar, Tianming Liu, Sarah Rinehart, Szilard Voros

CoRR, 2013

Sparse Representation of Higher-Order Functional Interaction Patterns in Task-Based FMRI Data.

Shu Zhang, Xiang Li, Jinglei Lv, Xi Jiang, Dajiang Zhu, Hanbo Chen, Tuo Zhang, Lei Guo, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Modeling Cognitive Processes via Multi-stage Consistent Functional Response Detection.

Jinglei Lv, Dajiang Zhu, Xi Jiang, Kaiming Li, Xintao Hu, Junwei Han, Lei Guo, Tianming Liu

Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Group-Wise FMRI Activation Detection on Corresponding Cortical Landmarks.

Jinglei Lv, Dajiang Zhu, Xintao Hu, Xin Zhang, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Sparse Representation of Group-Wise FMRI Signals.

Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Xin Zhang, Xintao Hu, Tuo Zhang, Lei Guo, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Modeling Dynamic Functional Information Flows on Large-Scale Brain Networks.

Peili Lv, Lei Guo, Xintao Hu, Xiang Li, Changfeng Jin, Junwei Han, Lingjiang Li, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Assessing Structural Organization and Functional Interaction in Gyral, Sulcal and Cortical Networks.

Xiaojin Li, Xintao Hu, Xi Jiang, Lei Guo, Junwei Han, Tianming Liu

Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Anatomy-Guided Discovery of Large-Scale Consistent Connectivity-Based Cortical Landmarks.

Xi Jiang, Tuo Zhang, Dajiang Zhu, Kaiming Li, Jinglei Lv, Lei Guo, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI.

Xi Jiang, Dajiang Zhu, Kaiming Li, Tuo Zhang, Dinggang Shen, Lei Guo, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Identifying Group-Wise Consistent White Matter Landmarks via Novel Fiber Shape Descriptor.

Hanbo Chen, Tuo Zhang, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Inferring functional network-based signatures via structurally-weighted LASSO model.

Dajiang Zhu, Dinggang Shen, Tianming Liu

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

Predicting functional cortical ROIs via joint modeling of anatomical and connectional profiles.

Tuo Zhang, Dajiang Zhu, Xi Jiang, Lei Guo, Tianming Liu

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

Activated cliques: Network-based activation detection in task-based FMRI.

Shu Zhang, Jinglei Lv, Xiang Li, Xi Jiang, Lei Guo, Tianming Liu

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

Data-driven evaluation of functional connectivity metrics.

Yingjie Zhang, Junwei Han, Xintao Hu, Lei Guo, Tianming Liu

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

Joint analysis of gyral folding and fiber shape patterns.

Xiang Yu, Hanbo Chen, Tuo Zhang, Xintao Hu, Lei Guo, Tianming Liu

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

Identifying functional connectomics abnormality in attention deficit hyperactivity disorder.

Peng Wang, Dajiang Zhu, Xiang Li, Hanbo Chen, Xi Jiang, Li Sun, Qingjiu Cao, Li An, Tianming Liu, Yufeng Wang

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

Discovering common functional connectomics signatures.

Xiang Li, Dajiang Zhu, Xi Jiang, Changfeng Jin, Lei Guo, Lingjiang Li, Tianming Liu

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

Functional brain interactions during free viewing of video stream.

Xintao Hu, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu

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

Construction of multi-scale brain networks via DICCCOL landmarks.

Bao Ge, Lei Guo, Tuo Zhang, Dajiang Zhu, Xintao Hu, Junwei Han, Tianming Liu

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

Identifying consistent brain networks via maximizing predictability of functional connectome from structural connectome.

Hanbo Chen, Kaiming Li, Dajiang Zhu, Tianming Liu

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

Assessing regularity and variability of cortical folding patterns of dicccols.

Jia Chen, Jianfeng Lu, Hanbo Chen, Dajiang Zhu, Tianming Liu

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

Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models.

Dajiang Zhu, Xiang Li, Xi Jiang, Hanbo Chen, Dinggang Shen, Tianming Liu

Proceedings of the Information Processing in Medical Imaging, 2013

Construction of Multi-scale Common Brain Networks Based on DICCCOL.

Bao Ge, Lei Guo, Dajiang Zhu, Tuo Zhang, Xintao Hu, Junwei Han, Tianming Liu

Proceedings of the Information Processing in Medical Imaging, 2013

2012

Bridging the Semantic Gap via Functional Brain Imaging.

Xintao Hu, Kaiming Li, Junwei Han, Xian-Sheng Hua, Lei Guo, Tianming Liu

IEEE Trans. Multim., 2012

Individual Functional ROI Optimization Via Maximization of Group-Wise Consistency of Structural and Functional Profiles.

Kaiming Li, Lei Guo, Dajiang Zhu, Xintao Hu, Junwei Han, Tianming Liu

Neuroinformatics, 2012

Optimization of functional brain ROIs via maximization of consistency of structural connectivity profiles.

Dajiang Zhu, Kaiming Li, Carlos Cesar Faraco, Fan Deng, Degang Zhang, Lei Guo, L. Stephen Miller, Tianming Liu

NeuroImage, 2012

Inferring consistent functional interaction patterns from natural stimulus FMRI data.

Jiehuan Sun, Xintao Hu, Xiu Huang, Yang Liu, Kaiming Li, Xiang Li, Junwei Han, Lei Guo, Tianming Liu, Jing Zhang

NeuroImage, 2012

Visual analytics of brain networks.

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

NeuroImage, 2012

Music/speech classification using high-level features derived from fmri brain imaging.

Xi Jiang, Tuo Zhang, Xintao Hu, Lie Lu, Junwei Han, Lei Guo, Tianming Liu

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Characterization of Task-Free/Task-Performance Brain States.

Xin Zhang, Lei Guo, Xiang Li, Dajiang Zhu, Kaiming Li, Zhenqiang Sun, Changfeng Jin, Xintao Hu, Junwei Han, Qun Zhao, Lingjiang Li, Tianming Liu

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

Constructing Fiber Atlases for Functional ROIs via fMRI-Guided DTI Image Registration.

Tuo Zhang, Lei Guo, Hanbo Chen, Xintao Hu, Kaiming Li, Tianming Liu

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

Morphological Analysis of the Left Ventricular Endocardial Surface and Its Clinical Implications.

Anirban Mukhopadhyay, Zhen Qian, Suchendra M. Bhandarkar, Tianming Liu, Sarah Rinehart, Szilard Voros

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

Group-Wise Consistent Fiber Clustering Based on Multimodal Connectional and Functional Profiles.

Bao Ge, Lei Guo, Tuo Zhang, Dajiang Zhu, Kaiming Li, Xintao Hu, Junwei Han, Tianming Liu

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

Optimization of fMRI-Derived ROIs Based on Coherent Functional Interaction Patterns.

Fan Deng, Dajiang Zhu, Tianming Liu

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

Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-view Spectral Clustering.

Hanbo Chen, Kaiming Li, Dajiang Zhu, Tuo Zhang, Changfeng Jin, Lei Guo, Lingjiang Li, Tianming Liu

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

Group-Wise Consistent Parcellation of Gyri via Adaptive Multi-view Spectral Clustering of Fiber Shapes.

Hanbo Chen, Xiao Cai, Dajiang Zhu, Feiping Nie, Tianming Liu, Heng Huang

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

Optimization and Fiber-Centered Prediction of Functional Network ROIs.

Can Feng, Tianming Liu, Liang Xiao, Zhihui Wei

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

A Hybrid Point-Sets Clustering Approach to Identification of Resting State Functional Network.

Can Feng, Tianming Liu, Liang Xiao, Zhihui Wei

Proceedings of the Pattern Recognition - Chinese Conference, 2012

2011

Complex span tasks and hippocampal recruitment during working memory.

Carlos Cesar Faraco, Nash Unsworth, Jason Langley, Doug Terry, Kaiming Li, Degang Zhang, Tianming Liu, L. Stephen Miller

NeuroImage, 2011

Identification of cortical landmarks based on structural connectivity to subcortical regions.

Degang Zhang, Lei Guo, Xintao Hu, Kaiming Li, Dajiang Zhu, Xi Jiang, Hanbo Chen, Fan Deng, Qun Zhao, Tianming Liu

Int. J. Comput. Biol. Drug Des., 2011

A biologically inspired computational model for image saliency detection.

Sheng He, Junwei Han, Xintao Hu, Ming Xu, Lei Guo, Tianming Liu

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Predicting Functional Brain ROIs via Fiber Shape Models.

Tuo Zhang, Lei Guo, Kaiming Li, Dajiang Zhu, Guangbin Cui, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Fiber-Centered Granger Causality Analysis.

Xiang Li, Kaiming Li, Lei Guo, Chulwoo Lim, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Resting State fMRI-Guided Fiber Clustering.

Bao Ge, Lei Guo, Jinglei Lv, Xintao Hu, Junwei Han, Tuo Zhang, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Assessing Regularity and Variability of Cortical Folding Patterns of Working Memory ROIs.

Hanbo Chen, Tuo Zhang, Kaiming Li, Xintao Hu, Lei Guo, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Optimization of functional brain ROIs via maximization of consistency of structural connectivity profiles.

Dajiang Zhu, Kaiming Li, Carlos Faraco, Fan Deng, Degang Zhang, Xi Jiang, Hanbo Chen, Lei Guo, L. Stephen Miller, Tianming Liu

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

Fine granularity parcellation of gyrus via fiber shape and connectivity based features.

Dajiang Zhu, Kaiming Li, Fan Deng, Degang Zhang, Xi Jiang, Hanbo Chen, Lei Guo, L. Stephen Miller, Tianming Liu

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

Assessing graph models for description of brain networks.

Yixuan Yuan, Lei Guo, Peili Lv, Xintao Hu, Degang Zhang, Junwei Han, Li Xie, Tianming Liu

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

Brain state change detection via fiber-centered functional connectivity analysis.

Chulwoo Lim, Xiang Li, Kaiming Li, Lei Guo, Tianming Liu

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

Assessing the dynamics on functional brain networks using spectral graphy theory.

Xintao Hu, Lei Guo, Degang Zhang, Kaiming Li, Tuo Zhang, Jinglei Lv, Junwei Han, Tianming Liu

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

Detection of hairline mandibular fracture using max-flow min-cut and Kolmogorov-Smirnov distance.

Ananda S. Chowdhury, Suchendra M. Bhandarkar, Robert W. Robinson, Jack C. Yu, Tianming Liu

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

Discovering Dense and Consistent Landmarks in the Brain.

Dajiang Zhu, Degang Zhang, Carlos Faraco, Kaiming Li, Fan Deng, Hanbo Chen, Xi Jiang, Lei Guo, L. Stephen Miller, Tianming Liu

Proceedings of the Information Processing in Medical Imaging, 2011

Activated Fibers: Fiber-Centered Activation Detection in Task-Based FMRI.

Jinglei Lv, Lei Guo, Kaiming Li, Xintao Hu, Dajiang Zhu, Junwei Han, Tianming Liu

Proceedings of the Information Processing in Medical Imaging, 2011

Retrieving video shots in semantic brain imaging space using manifold-ranking.

Xiang Ji, Junwei Han, Xintao Hu, Kaiming Li, Fan Deng, Jun Fang, Lei Guo, Tianming Liu

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Shape Analysis of the Left Ventricular Endocardial Surface and Its Application in Detecting Coronary Artery Disease.

Anirban Mukhopadhyay, Zhen Qian, Suchendra M. Bhandarkar, Tianming Liu, Szilard Voros

Proceedings of the Functional Imaging and Modeling of the Heart, 2011

2010

A hybrid approach to automatic clustering of white matter fibers.

Hai Li, Zhong Xue, Lei Guo, Tianming Liu, Jill Hunter, Stephen T. C. Wong

NeuroImage, 2010

Gyral folding pattern analysis via surface profiling.

Kaiming Li, Lei Guo, Gang Li, Jingxin Nie, Carlos Faraco, Guangbin Cui, Qun Zhao, L. Stephen Miller, Tianming Liu

NeuroImage, 2010

An automated pipeline for cortical sulcal fundi extraction.

Gang Li, Lei Guo, Jingxin Nie, Tianming Liu

Medical Image Anal., 2010

Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles.

Kaiming Li, Lei Guo, Carlos Faraco, Dajiang Zhu, Fan Deng, Tuo Zhang, Xi Jiang, Degang Zhang, Hanbo Chen, Xintao Hu, L. Stephen Miller, Tianming Liu

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Bridging low-level features and high-level semantics via fMRI brain imaging for video classification.

Xintao Hu, Fan Deng, Kaiming Li, Tuo Zhang, Hanbo Chen, Xi Jiang, Jinglei Lv, Dajiang Zhu, Carlos Faraco, Degang Zhang, Arsham Mesbah, Junwei Han, Xian-Sheng Hua, Li Xie, L. Stephen Miller, Lei Guo, Tianming Liu

Proceedings of the 18th International Conference on Multimedia 2010, 2010

Gyral parcellation of cortical surfaces via coupled flow field tracking.

Gang Li, Lei Guo, Kaiming Li, Jingxin Nie, Tianming Liu

Proceedings of the Medical Imaging 2010: Image Processing, 2010

Optimal combination of multiple cortical surface parcellations.

Xintao Hu, Lei Guo, Gang Li, Kaiming Li, Tianming Liu

Proceedings of the Medical Imaging 2010: Image Processing, 2010

Automatic clustering of white matter fibers based on symbolic sequence analysis.

Bao Ge, Lei Guo, Kaiming Li, Hai Li, Carlos Faraco, Qun Zhao, L. Stephen Miller, Tianming Liu

Proceedings of the Medical Imaging 2010: Image Processing, 2010

Fiber-Centered Analysis of Brain Connectivities Using DTI and Resting State FMRI Data.

Jinglei Lv, Lei Guo, Xintao Hu, Tuo Zhang, Kaiming Li, Degang Zhang, Jianfei Yang, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

A Dynamic Skull Model for Simulation of Cerebral Cortex Folding.

Hanbo Chen, Lei Guo, Jingxin Nie, Tuo Zhang, Xintao Hu, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Predictive modeling of neuroanatomic structures for brain atrophy detection.

Xintao Hu, Lei Guo, Jingxin Nie, Kaiming Li, Tianming Liu

Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

Automatic Cortical Gyral Parcellation Using Probabilistic Atlas and Graph Cuts.

Gang Li, Lei Guo, Tuo Zhang, Jingxin Nie, Tianming Liu

Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

Cortical Sulcal Bank Segmentation via Geometric Similarity Based Graph Partition.

Gang Li, Lei Guo, Tuo Zhang, Jingxin Nie, Tianming Liu

Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

Automatic cortical surface parcellation based on fiber density information.

Degang Zhang, Lei Guo, Gang Li, Jingxin Nie, Fan Deng, Kaiming Li, Xintao Hu, Tuo Zhang, Xi Jiang, Dajiang Zhu, Qun Zhao, Tianming Liu

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

Joint analysis of cortical folding pattern, thickness and fiber density using structural and DTI data.

Yixuan Yuan, Lei Guo, Gang Li, Tuo Zhang, Xintao Hu, Tianming Liu

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

Cortical surface based identification of brain networks using high spatial resolution resting state FMRI data.

Kaiming Li, Lei Guo, Gang Li, Jingxin Nie, Carlos Faraco, Qun Zhao, L. Stephen Miller, Tianming Liu

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

Joint analysis of fiber shape and cortical folding patterns.

Xintao Hu, Lei Guo, Tuo Zhang, Gang Li, Jingxin Nie, Xi Jiang, Degang Zhang, Tianming Liu

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

Automated Cell Phase Classification for Zebrafish Fluorescence Microscope Images.

Yanting Lu, Jianfeng Lu, Tianming Liu, Jingyu Yang

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Human-centered attention models for video summarization.

Kaiming Li, Lei Guo, Carlos Faraco, Dajiang Zhu, Fan Deng, Tuo Zhang, Xi Jiang, Degang Zhang, Hanbo Chen, Xintao Hu, L. Stephen Miller, Tianming Liu

Proceedings of the 12th International Conference on Multimodal Interfaces / 7. International Workshop on Machine Learning for Multimodal Interaction, 2010

Direction field diffusion on cortical surface via graph cuts.

Gang Li, Lei Guo, Jingxin Nie, Kaiming Li, Tianming Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Automatic cortical sulcal parcellation based on surface principal direction flow field tracking.

Gang Li, Lei Guo, Jingxin Nie, Tianming Liu

NeuroImage, 2009

Imaging informatics for personalised medicine: applications and challenges.

Tianming Liu, Hanchuan Peng, Xiaobo Zhou

Int. J. Funct. Informatics Pers. Medicine, 2009

Automated brain tumor segmentation using spatial accuracy-weighted hidden Markov Random Field.

Jingxin Nie, Zhong Xue, Tianming Liu, Geoffrey S. Young, Kian Setayesh, Lei Guo, Stephen T. C. Wong

Comput. Medical Imaging Graph., 2009

Review of methods for functional brain connectivity detection using fMRI.

Kaiming Li, Lei Guo, Jingxin Nie, Gang Li, Tianming Liu

Comput. Medical Imaging Graph., 2009

Deformation invariant attribute vector for deformable registration of longitudinal brain MR images.

Gang Li, Lei Guo, Tianming Liu

Comput. Medical Imaging Graph., 2009

Parametric Representation of Cortical Surface Folding Based on Polynomials.

Tuo Zhang, Lei Guo, Gang Li, Jingxin Nie, Tianming Liu

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

A Computational Model of Cerebral Cortex Folding.

Jingxin Nie, Gang Li, Lei Guo, Tianming Liu

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

Gyral Folding Pattern Analysis via Surface Profiling.

Kaiming Li, Lei Guo, Gang Li, Jingxin Nie, Carlos Faraco, Qun Zhao, L. Stephen Miller, Tianming Liu

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

Grouping of Brain MR Images via Affinity Propagation.

Gang Li, Lei Guo, Tianming Liu

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

2008

An Automated Method for Cell Detection in Zebrafish.

Tianming Liu, Gang Li, Jingxin Nie, Ashley Tarokh, Xiaobo Zhou, Lei Guo, Jarema Malicki, Weiming Xia, Stephen T. C. Wong

Neuroinformatics, 2008

Reconstruction of central cortical surface from brain MRI images: Method and application.

Tianming Liu, Jingxin Nie, Ashley Tarokh, Lei Guo, Stephen T. C. Wong

NeuroImage, 2008

ZFIQ: a software package for zebrafish biology.

Tianming Liu, Jingxin Nie, Gang Li, Lei Guo, Stephen T. C. Wong

Bioinform., 2008

A Novel Method for Cortical Sulcal Fundi Extraction.

Gang Li, Tianming Liu, Jingxin Nie, Lei Guo, Stephen T. C. Wong

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2007

A Quantitative Zebrafish Phenotyping Tool for Developmental Biology and Disease Modeling [Life Sciences].

Tianming Liu

IEEE Signal Process. Mag., 2007

Brain tissue segmentation based on DTI data.

Tianming Liu, Hai Li, Kelvin K. Wong, Ashley Tarokh, Lei Guo, Stephen T. C. Wong

NeuroImage, 2007

Least-square conformal brain mapping with spring energy.

Jingxin Nie, Tianming Liu, Gang Li, Geoffrey S. Young, Ashley Tarokh, Lei Guo, Stephen T. C. Wong

Comput. Medical Imaging Graph., 2007

Reconstruction of Central Cortical Surface from Brain Mri Images: Method and Application.

Jingxin Nie, Tianming Liu, Lei Guo, Stephen T. C. Wong

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Segmentation of Touching Cells Using Gradient Flow Tracking.

Gang Li, Tianming Liu, Jingxin Nie, Lei Guo, Stephen T. C. Wong

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Deformable Registration of Dti and Spgr Images.

Hai Li, Tianming Liu, Lei Guo, Stephen T. C. Wong

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006

76-Space analysis of grey matter diffusivity: Methods and applications.

Tianming Liu, Geoffrey S. Young, Ling Huang, Nankuei Chen, Stephen T. C. Wong

NeuroImage, 2006

Stochastic Robust Stability Analysis for Markovian Jump Discrete-Time Delayed Neural Networks with Multiplicative Nonlinear Perturbations.

Li Xie, Tianming Liu, Guodong Lu, Jilin Liu, Stephen T. C. Wong

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Least square conformal mapping with spring energy.

Jingxin Nie, Tianming Liu, Geoffrey S. Young, Lei Guo, Stephen T. C. Wong

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Deformation invariant attribute vector for 3D image registration: method and validation.

Gang Li, Tianming Liu, Geoffrey S. Young, Lei Guo, Stephen T. C. Wong

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Brain tissue segmentation based on DWI/DTI data.

Hai Li, Tianming Liu, Geoffrey S. Young, Lei Guo, Stephen T. C. Wong

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2005

Robust Stability for Delayed Neural Networks with Nonlinear Perturbation.

Li Xie, Tianming Liu, Jilin Liu, WeiKang Gu, Stephen T. C. Wong

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

2004

Deformable registration of cortical structures via hybrid volumetric and surface warping.

Tianming Liu, Dinggang Shen, Christos Davatzikos

NeuroImage, 2004

Deformable Registration of Tumor-Diseased Brain Images.

Tianming Liu, Dinggang Shen, Christos Davatzikos

Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Predictive Modeling of Anatomic Structures Using Canonical Correlation Analysis.

Tianming Liu, Dinggang Shen, Christos Davatzikos

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003

A novel video key-frame-extraction algorithm based on perceived motion energy model.

Tianming Liu, HongJiang Zhang, Feihu Qi

IEEE Trans. Circuits Syst. Video Technol., 2003

2002

A systematic rate controller for MPEG-4 FGS video streaming.

Tianming Liu, HongJiang Zhang, Wei Qi, Feihu Qi

Multim. Syst., 2002

Adaptive self-excitation groups in visual curve integration.

Lei Guo, Tianming Liu, Junwei Han

Neurocomputing, 2002

2001

A Content-Aware Rate Controller For Streamed Delivery Of MPEG-4 Fgs Video.

Tianming Liu, Wei Qi, HongJiang Zhang, Feihu Qi

Proceedings of the 2001 IEEE International Conference on Multimedia and Expo, 2001

2000

Novel approach of combining temporal segmentation results to the region-binding process for separating moving objects from still background.

Tianming Liu, Feihu Qi, Yiqiang Zhan

Proceedings of the Visual Communications and Image Processing 2000, 2000