Xiang Li

发表

Assessing effects of prenatal alcohol exposure using group-wise sparse representation of fMRI data

J. Lv, Xi Jiang, Lei Guo, 2015, Psychiatry Research: Neuroimaging.

Characterizing and Differentiating Brain State Dynamics via Hidden Markov Models

Tianming Liu, Xiang Li, Dajiang Zhu, 2014, Brain Topography.

Atomic connectomics signatures for characterization and differentiation of mild cognitive impairment

D. Terry, D. Shen, Tianming Liu, 2015, Brain Imaging and Behavior.

Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings

Jinglei Lv, Tianming Liu, Quanzheng Li, 2020, MLMI@MICCAI.

IDENTIFYING GROUPWISE GROUPWISE GROUPWISE CONSISTENT SUBNETWORKS SUBNETWORKS SUBNETWORKS VIA SPATIAL SPARSE REPRESENTATION OF NATURAL STIMULUS FMRI DATA

J. Lv, Lei Guo, Junwei Han, 2016 .

Brain Structure and Function Discover Mouse Gene Co-expression Landscapes Using Dictionary Learning and Sparse Coding

Hanchuan Peng, J. Tsien, J. Lv, 2016 .

BigNeuron: A resource to benchmark and predict best-performing algorithms for automated reconstruction of neuronal morphology

Sean L. Hill, Todd A. Gillette, G. Jefferis, 2022, bioRxiv.

Functional Brain Connectivity Revealed by Sparse Coding of Large-Scale Local Field Potential Dynamics

J. Tsien, Tianming Liu, Xiang Li, 2018, Brain Topography.

Atomic connectomics signatures for characterization and differentiation of mild cognitive impairment

D. Terry, D. Shen, Tianming Liu, 2015, Brain Imaging and Behavior.

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

Xintao Hu, Lei Guo, Tianming Liu, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Predicting Movie Trailer Viewer's “Like/Dislike” via Learned Shot Editing Patterns

Xintao Hu, Lei Guo, Tianming Liu, 2016, IEEE Transactions on Affective Computing.

A Distributed Computing Platform for fMRI Big Data Analytics

Jieping Ye, Tianming Liu, Xiang Li, 2019, IEEE Transactions on Big Data.

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

Jinglei Lv, Dajiang Zhu, Lei Guo, 2019, IEEE Transactions on Biomedical Engineering.

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

Yujie Li, Meng Li, Jinglei Lv, 2017, Neuroinformatics.

Atomic dynamic functional interaction patterns for characterization of ADHD

Yufeng Wang, Dajiang Zhu, Rongxin Jiang, 2014, Human brain mapping.

Dynamic functional connectomics signatures for characterization and differentiation of PTSD patients

Dajiang Zhu, Lei Guo, Xiaoping Hu, 2014, Human brain mapping.

Discover mouse gene coexpression landscapes using dictionary learning and sparse coding

Jinglei Lv, Hanchuan Peng, Xi Jiang, 2017, Brain Structure and Function.

Modeling brain functional dynamics via hidden Markov models

Jing Zhang, Dajiang Zhu, Rongxin Jiang, 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

Identifying and Characterizing Resting State Networks in Temporally Dynamic Functional Connectomes

Junwei Han, Jinglei Lv, Tuo Zhang, 2014, Brain Topography.

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

Xiang Li, Wei Zhang, Yu Zhao, 2017, NeuroImage.

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

Heng Huang, Jinglei Lv, Tuo Zhang, 2015, Medical Image Anal..

Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models

Siyuan Ma, Tianming Liu, Xiang Li, 2023, ArXiv.

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

Quanzheng Li, Yu Zhao, Tianming Liu, 2018, IEEE Transactions on Cognitive and Developmental Systems.

ChatABL: Abductive Learning via Natural Language Interaction with ChatGPT

Xi Jiang, Tianming Liu, Xiang Li, 2023, ArXiv.

ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT

Lei Guo, Tianming Liu, Xiang Li, 2023, ArXiv.

Evaluating large language models on a highly-specialized topic, radiation oncology physics

W. Liu, Tianming Liu, Xiang Li, 2023, Frontiers in oncology.

Differentiate ChatGPT-generated and Human-written Medical Texts

Tianming Liu, Xiang Li, Dajiang Zhu, 2023, ArXiv.

Survey on natural language processing in medical image analysis.

W. Liu, Jun Liu, Xi Jiang, 2022, Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences.

ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT

Lei Guo, Tianming Liu, Xiang Li, 2023, IEEE Transactions on Artificial Intelligence.

When Brain-inspired AI Meets AGI

Xi Jiang, Xintao Hu, Tianming Liu, 2023, Meta-Radiology.

Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT

W. Liu, Xi Jiang, Tianming Liu, 2023, ArXiv.

Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

Siyuan Ma, Tianming Liu, Xiang Li, 2023, Meta-Radiology.

Prompt Engineering for Healthcare: Methodologies and Applications

Xiang Li, Tianming Liu, Xiang Li, 2023, ArXiv.

Mask-guided BERT for Few Shot Text Classification

Xi Jiang, Tianming Liu, Xiang Li, 2023, ArXiv.

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

Xin Zhang, Jinglei Lv, Tuo Zhang, 2013, Medical Image Anal..

Identifying functional connectomics abnormality in attention deficit hyperactivity disorder

Yufeng Wang, Peng Wang, Li Sun, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

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

Wei Zhang, Jinglei Lv, Tuo Zhang, 2016, IEEE Transactions on Biomedical Engineering.

Machine learning approaches towards holistic brain functional space discovery from fMRI big data

Xiang Li, Xiang Li, 2016 .

Brain state change detection via fiber-centered functional connectivity analysis

Kaiming Li, Lei Guo, Tianming Liu, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification

Xiang Li, Jinglei Lv, Tianming Liu, 2020, MICCAI.

Modeling Functional Dynamics of Cortical Gyri and Sulci

Wei Zhang, Jinglei Lv, Tuo Zhang, 2016, MICCAI.

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

Jinglei Lv, Tianming Liu, Xi Jiang, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Sparse representation of HCP grayordinate data reveals novel functional architecture of cerebral cortex

Jinglei Lv, Tuo Zhang, Lei Guo, 2015, Human brain mapping.

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

Jieping Ye, Jinglei Lv, Tuo Zhang, 2015, IEEE Transactions on Biomedical Engineering.

Signal sampling for efficient sparse representation of resting state FMRI data

Junwei Han, Jinglei Lv, Tianming Liu, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

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

Hanchuan Peng, J. Tsien, Meng Li, 2017, Neuroinformatics.

BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

Todd A. Gillette, G. Jefferis, A. Sironi, 2023, Nature Methods.

Exploring human brain activation via nested sparse coding and functional operators

Lei Guo, Tianming Liu, Xiang Li, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Review of Large Vision Models and Visual Prompt Engineering

Xi Jiang, Tianming Liu, Xiang Li, 2023, Meta-Radiology.

ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs

Junzhou Huang, Tianming Liu, Xiang Li, 2023, ArXiv.

Characterizing and differentiating task-based and resting state fMRI signals via two-stage sparse representations

Jinglei Lv, Xi Jiang, Xiang Li, 2016, Brain Imaging and Behavior.

Characterization of Task-Free/Task-Performance Brain States

Xin Zhang, Xintao Hu, Dajiang Zhu, 2012, MICCAI.

Detecting Brain State Changes via Fiber-Centered Functional Connectivity Analysis

Lei Guo, Tianming Liu, Xiang Li, 2012, Neuroinformatics.

Learning fMRI-guided predictor of video shot changes

Jinglei Lv, Tuo Zhang, Xintao Hu, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Exploring functional brain dynamics via a Bayesian connectivity change point model

Jinglei Lv, Dajiang Zhu, Tianming Liu, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Inferring functional interaction and transition patterns via dynamic bayesian variable partition models

Junwei Han, Xintao Hu, Dajiang Zhu, 2013, Human brain mapping.

Modeling Dynamic Functional Information Flows on Large-Scale Brain Networks

Xintao Hu, Lei Guo, Tianming Liu, 2013, MICCAI.

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

Jinglei Lv, Tuo Zhang, Dajiang Zhu, 2013, MICCAI.

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

Jinglei Lv, Lei Guo, Tianming Liu, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Fiber-Centered Granger Causality Analysis

Kaiming Li, Lei Guo, Tianming Liu, 2011, MICCAI.

HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI)

Xi Jiang, Junwei Han, Tianming Liu, 2015, Brain Informatics.

Template-guided Functional Network Identification via Supervised Dictionary Learning

Yu Zhao, Jieping Ye, Tianming Liu, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

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

Jieping Ye, Xiang Li, Tianming Liu, 2017, 2016 IEEE International Conference on Big Data (Big Data).

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

Jieping Ye, Ian Davidson, Xiang Li, 2016, KDD.

HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI)

Jinglei Lv, Junwei Han, Shijie Zhao, 2015, Brain Informatics.

Sparse Representation of Group-Wise FMRI Signals

Xin Zhang, Jinglei Lv, Tuo Zhang, 2013, MICCAI.

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

Tianming Liu, Xi Jiang, Xiang Li, 2018, Front. Neuroinform..

Dynamic Bayesian brain network partition and connectivity change point detection

Yi Pan, Tianming Liu, Zhihui Wei, 2015, 2015 IEEE 5th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS).

Sparse representation of working memory processes based on fMRI data

Dajiang Zhu, Tianming Liu, Xiang Li, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Discovering network-level functional interactions from working memory fMRI data

Jinglei Lv, Tuo Zhang, Xintao Hu, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Identifying and Characterizing Resting State Networks in Temporally Dynamic Functional Connectomes

Xi Jiang, Lei Guo, Junwei Han, 2014, Brain Topography.

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

Jinglei Lv, Dajiang Zhu, Tianming Liu, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Generalized fMRI activation detection via Bayesian magnitude change point model

Jinglei Lv, Dajiang Zhu, Tianming Liu, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Group-wise change point detection in task FMRI data by Bayesian methods

Jing Zhang, Jinglei Lv, Dajiang Zhu, 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

Common functional connectomics discovered from brain functional connectivity dynamics

Xi Jiang, Tianming Liu, Xiang Li, 2013 .

Functional initiator, terminator and communicator: roles of DICCCOLs inferred from functional connectivity dynamics

Xi Jiang, Tianming Liu, Xiang Li, 2013 .

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

Dinggang Shen, Dajiang Zhu, Xi Jiang, 2013, IPMI.

Discovering common functional connectomics signatures

Dajiang Zhu, Lei Guo, Tianming Liu, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

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

Xiang Li, Jinglei Lv, Tianming Liu, 2020, MICCAI.

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

Jinglei Lv, Lei Guo, Tianming Liu, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs

Junzhou Huang, Tianming Liu, Xiang Li, 2023, ArXiv.

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

Dajiang Zhu, Tianming Liu, Kun Xie, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Functional Brain Connectivity Revealed by Sparse Coding of Large-Scale Local Field Potential Dynamics

Meng Li, Yaowu Chen, Kun Xie, 2018, Brain Topography.

Time-Varying Mutual Information Analysis of Evoked in Vivo Local Field Potentials in Rodents

Jay W. Reddy, Xiang Li, P. Grover, 2023, 2023 11th International IEEE/EMBS Conference on Neural Engineering (NER).

Inferring consistent functional interaction patterns from natural stimulus FMRI data

Xintao Hu, Kaiming Li, Lei Guo, 2012, NeuroImage.

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

Jieping Ye, Xi Jiang, Lei Guo, 2015, IEEE Transactions on Biomedical Engineering.

Sparse representation of HCP grayordinate data reveals novel functional architecture of cerebral cortex

Xi Jiang, Lei Guo, Tianming Liu, 2015, Human brain mapping.

Discover mouse gene coexpression landscapes using dictionary learning and sparse coding

Hanchuan Peng, J. Tsien, Xi Jiang, 2016, Brain Structure and Function.

Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

Siyuan Ma, Tianming Liu, Xiang Li, 2023, Meta-Radiology.

Characterizing and differentiating task-based and resting state fMRI signals via two-stage sparse representations

Xi Jiang, Lei Guo, Tianming Liu, 2015, Brain Imaging and Behavior.

Detecting Brain State Changes via Fiber-Centered Functional Connectivity Analysis

Kaiming Li, Lei Guo, Tianming Liu, 2012, Neuroinformatics.