Tianming Liu

Orcid: 0000-0002-8132-9048

Affiliations:
  • University of Georgia, Department of Computer Science, Bioimaging Research Center, Athens, GA, USA
  • Cornell University, Weill Medical College, Ithaca, NY, USA (2007 - 2008)
  • Harvard Medical School, Center for Bioinformatics, Boston, MA, USA (2005 - 2007)
  • University of Pennsylvania, Department of Radiology, Philadelphia, PA, USA (2002 - 2004)
  • Shanghai Jiaotong University, Department of Computer Science and Engineering, Shanghai, China (PhD 2002)


According to our database1, Tianming Liu authored at least 422 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Timeline

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Bibliography

2024
Brain Structural Connectivity Guided Vision Transformers for Identification of Functional Connectivity Characteristics in Preterm Neonates.
IEEE J. Biomed. Health Informatics, April, 2024

Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations.
IEEE Trans. Cogn. Dev. Syst., April, 2024

Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer.
Inf. Fusion, April, 2024

Spatial-temporal convolutional attention for discovering and characterizing functional brain networks in task fMRI.
NeuroImage, February, 2024

Guest Editorial Computational Mathematics Modeling in Cancer Analysis.
IEEE J. Biomed. Health Informatics, January, 2024

Regularity and variability of functional brain connectivity characteristics between gyri and sulci under naturalistic stimulus.
Comput. Biol. Medicine, January, 2024

ALDM-Grasping: Diffusion-aided Zero-Shot Sim-to-Real Transfer for Robot Grasping.
CoRR, 2024

Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era.
CoRR, 2024

Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction.
CoRR, 2024

Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis.
CoRR, 2024

LLMs for Coding and Robotics Education.
CoRR, 2024

Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding.
CoRR, 2024

Revolutionizing Finance with LLMs: An Overview of Applications and Insights.
CoRR, 2024

The Radiation Oncology NLP Database.
CoRR, 2024

TrustLLM: Trustworthiness in Large Language Models.
CoRR, 2024

Large Language Models for Robotics: Opportunities, Challenges, and Perspectives.
CoRR, 2024

Understanding LLMs: A Comprehensive Overview from Training to Inference.
CoRR, 2024

2023
Learning to Summarize Chinese Radiology Findings With a Pre-Trained Encoder.
IEEE Trans. Biomed. Eng., December, 2023

Eye-Gaze-Guided Vision Transformer for Rectifying Shortcut Learning.
IEEE Trans. Medical Imaging, November, 2023

Arousal modulates the amygdala-insula reciprocal connectivity during naturalistic emotional movie watching.
NeuroImage, October, 2023

Genetic Influence on Gyral Peaks.
NeuroImage, October, 2023

A generic framework for embedding human brain function with temporally correlated autoencoder.
Medical Image Anal., October, 2023

Functional brain network identification and fMRI augmentation using a VAE-GAN framework.
Comput. Biol. Medicine, October, 2023

Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network.
Neural Networks, August, 2023

Characterizing functional brain networks via Spatio-Temporal Attention 4D Convolutional Neural Networks (STA-4DCNNs).
Neural Networks, January, 2023

ChestXRayBERT: A Pretrained Language Model for Chest Radiology Report Summarization.
IEEE Trans. Multim., 2023

An explainable deep learning framework for characterizing and interpreting human brain states.
Medical Image Anal., 2023

An automatic classifier for monitoring applied behaviors of cage-free laying hens with deep learning.
Eng. Appl. Artif. Intell., 2023

On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications.
CoRR, 2023

Holistic Evaluation of GPT-4V for Biomedical Imaging.
CoRR, 2023

Ophtha-LLaMA2: A Large Language Model for Ophthalmology.
CoRR, 2023

Noisy probing dose facilitated dose prediction for pencil beam scanning proton therapy: physics enhances generalizability.
CoRR, 2023

Evaluating the Potential of Leading Large Language Models in Reasoning Biology Questions.
CoRR, 2023

Evaluating Large Language Models in Ophthalmology.
CoRR, 2023

Evaluating multiple large language models in pediatric ophthalmology.
CoRR, 2023

Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities.
CoRR, 2023

Exploring hyperelastic material model discovery for human brain cortex: multivariate analysis vs. artificial neural network approaches.
CoRR, 2023

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data.
CoRR, 2023

Benchmarking a foundation LLM on its ability to re-label structure names in accordance with the AAPM TG-263 report.
CoRR, 2023

MedEdit: Model Editing for Medical Question Answering with External Knowledge Bases.
CoRR, 2023

Exploring the Influence of Information Entropy Change in Learning Systems.
CoRR, 2023

PolicyGPT: Automated Analysis of Privacy Policies with Large Language Models.
CoRR, 2023

RadOnc-GPT: A Large Language Model for Radiation Oncology.
CoRR, 2023

MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation.
CoRR, 2023

Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges.
CoRR, 2023

Radiology-Llama2: Best-in-Class Large Language Model for Radiology.
CoRR, 2023

Evaluating Large Language Models for Radiology Natural Language Processing.
CoRR, 2023

PharmacyGPT: The AI Pharmacist.
CoRR, 2023

Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification.
CoRR, 2023

Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data.
CoRR, 2023

Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference.
CoRR, 2023

SAMAug: Point Prompt Augmentation for Segment Anything Model.
CoRR, 2023

Review of Large Vision Models and Visual Prompt Engineering.
CoRR, 2023

Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications.
CoRR, 2023

Segment Anything Model (SAM) for Radiation Oncology.
CoRR, 2023

AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology.
CoRR, 2023

Radiology-GPT: A Large Language Model for Radiology.
CoRR, 2023

Artificial General Intelligence for Medical Imaging.
CoRR, 2023

SAM for Poultry Science.
CoRR, 2023

Learning Better Contrastive View from Radiologist's Gaze.
CoRR, 2023

ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.
CoRR, 2023

Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT.
CoRR, 2023

Prompt Engineering for Healthcare: Methodologies and Applications.
CoRR, 2023

Artificial General Intelligence (AGI) for Education.
CoRR, 2023

Differentiate ChatGPT-generated and Human-written Medical Texts.
CoRR, 2023

ChatABL: Abductive Learning via Natural Language Interaction with ChatGPT.
CoRR, 2023

CP-CNN: Core-Periphery Principle Guided Convolutional Neural Network.
CoRR, 2023

Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.
CoRR, 2023

ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT.
CoRR, 2023

On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence.
CoRR, 2023

AGI for Agriculture.
CoRR, 2023

Evaluating Large Language Models on a Highly-specialized Topic, Radiation Oncology Physics.
CoRR, 2023

Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models.
CoRR, 2023

When Brain-inspired AI Meets AGI.
CoRR, 2023

Core-Periphery Principle Guided Redesign of Self-Attention in Transformers.
CoRR, 2023

DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4.
CoRR, 2023

ChatAug: Leveraging ChatGPT for Text Data Augmentation.
CoRR, 2023

Mask-guided BERT for Few Shot Text Classification.
CoRR, 2023

Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Towards Unified Modality Understanding for Alzheimer's Disease Diagnosis Using Incomplete Multi-modality Data.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Prediction of Cognitive Scores by Joint Use of Movie-Watching fMRI Connectivity and Eye Tracking via Attention-CensNet.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Representative Functional Connectivity Learning for Multiple Clinical Groups in Alzheimer's Disease.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Supervised Deep Tree in Alzheimer's Disease.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Spatial-Temporal Convolutional Attention for Mapping Functional Brain Networks.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Brain Surface Can Predict Fiber Connections.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Topological Similarity between Artificial and Biological Neural Networks.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with <sup>18</sup>F-FDG PET.
Proceedings of the Information Processing in Medical Imaging, 2023

Species-Shared and -Specific Brain Functional Connectomes Revealed by Shared-Unique Variational Autoencoder.
Proceedings of the Information Processing in Medical Imaging, 2023

ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.
Proceedings of the IEEE International Conference on Data Mining, 2023

Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript.
Proceedings of the Brain Informatics - 16th International Conference, 2023

Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

FMRI-Guided Time-Symmetric Joint Model for Visual Attention Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-Shot Prompt Learning for Automatic Scoring in Science Education.
Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

Context Matters: A Strategy to Pre-train Language Model for Science Education.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Fine-grained Artificial Neurons in Audio-transformers for Disentangling Neural Auditory Encoding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

CDA: A Contrastive Data Augmentation Method for Alzheimer's Disease Detection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis.
IEEE Trans. Medical Imaging, 2022

Evolutional Neural Architecture Search for Optimization of Spatiotemporal Brain Network Decomposition.
IEEE Trans. Biomed. Eng., 2022

Functional Brain Networks Underlying Auditory Saliency During Naturalistic Listening Experience.
IEEE Trans. Cogn. Dev. Syst., 2022

Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs).
Medical Image Anal., 2022

Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition.
Medical Image Anal., 2022

NAS-optimized topology-preserving transfer learning for differentiating cortical folding patterns.
Medical Image Anal., 2022

Auto-DenseUNet: Searchable neural network architecture for mass segmentation in 3D automated breast ultrasound.
Medical Image Anal., 2022

COVIDSum: A linguistically enriched SciBERT-based summarization model for COVID-19 scientific papers.
J. Biomed. Informatics, 2022

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.
CoRR, 2022

BI AVAN: Brain inspired Adversarial Visual Attention Network.
CoRR, 2022

A Unified and Biologically-Plausible Relational Graph Representation of Vision Transformers.
CoRR, 2022

Rectify ViT Shortcut Learning by Visual Saliency.
CoRR, 2022

Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning.
CoRR, 2022

Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution.
CoRR, 2022

Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning.
CoRR, 2022

Discovering Dynamic Functional Brain Networks via Spatial and Channel-wise Attention.
CoRR, 2022

Disentangling Spatial-Temporal Functional Brain Networks via Twin-Transformers.
CoRR, 2022

Learning brain representation using recurrent Wasserstein generative adversarial net.
Comput. Methods Programs Biomed., 2022

Embedding Human Brain Function via Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Eliminating Indefiniteness of Clinical Spectrum for Better Screening COVID-19.
IEEE J. Biomed. Health Informatics, 2021

Deep Variational Autoencoder for Mapping Functional Brain Networks.
IEEE Trans. Cogn. Dev. Syst., 2021

Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment.
Medical Image Anal., 2021

Differentiable neural architecture search for optimal spatial/temporal brain function network decomposition.
Medical Image Anal., 2021

A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Modeling Hierarchical Spatial and Temporal Patterns of Naturalistic fMRI Volume via Volumetric Deep Belief Network with Neural Architecture Search.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Deep Neural Networks for In Situ Hybridization Grid Completion and Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network.
IEEE Trans. Biomed. Eng., 2020

Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs).
IEEE Trans. Cogn. Dev. Syst., 2020

Modeling Brain Diverse and Complex Hemodynamic Response Patterns via Deep Recurrent Autoencoder.
IEEE Trans. Cogn. Dev. Syst., 2020

Identifying Cross-individual Correspondences of 3-hinge Gyri.
Medical Image Anal., 2020

Modeling task-based fMRI data via deep belief network with neural architecture search.
Comput. Medical Imaging Graph., 2020

Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning.
Brain Connect., 2020

Supervised Brain Network Learning Based on Deep Recurrent Neural Networks.
IEEE Access, 2020

Species-Shared and -Specific Structural Connections Revealed by Dirty Multi-task Regression.
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.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Neural Architecture Search for Optimization of Spatial-Temporal Brain Network Decomposition.
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.
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.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE).
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Novel fMRI Representation Learning Framework with GAN.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Identifying Hierarchical Individual Functional Network under Naturalistic Paradigm via Two-stage DBN with Neural Architecture Search.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

Task fMRI Guided Fiber Clustering via a Deep Clustering Method.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Deep Variational Autoencoder for Modeling Functional Brain Networks and ADHD Identification.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Optimize CNN Model for FMRI Signal Classification Via Adanet-Based Neural Architecture Search.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Recognizing Brain States Using Deep Sparse Recurrent Neural Network.
IEEE Trans. Medical Imaging, 2019

Identifying Brain Networks at Multiple Time Scales via Deep Recurrent Neural Network.
IEEE J. Biomed. Health Informatics, 2019

Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data.
IEEE Trans. Biomed. Eng., 2019

Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci.
IEEE Trans. Biomed. Eng., 2019

A Distributed Computing Platform for fMRI Big Data Analytics.
IEEE Trans. Big Data, 2019

Discovering hierarchical common brain networks via multimodal deep belief network.
Medical Image Anal., 2019

Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics.
Neurocomputing, 2019

Training a Camera to Perform Long-Distance Eye Tracking by Another Eye-Tracker.
IEEE Access, 2019

Exploring Brain Hemodynamic Response Patterns via Deep Recurrent Autoencoder.
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

Group-Wise Graph Matching of Cortical Gyral Hinges.
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.
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.
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019

Identification of Abnormal Cortical 3-Hinge Folding Patterns on Autism Spectral Brains.
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

Multi-view Graph Matching of Cortical Landmarks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Species-Preserved Structural Connections Revealed by Sparse Tensor CCA.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Task Performance-guided Model of Functional Networks Identification.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Two-Stage Spatial Temporal Deep Learning Framework For Functional Brain Network Modeling.
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.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Explore the Hierarchical Auditory Information Processing Via Deep Convolutional Autoencoder.
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.
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.
Proceedings of the Information Processing in Medical Imaging, 2019

2018
Learning to Predict Eye Fixations via Multiresolution Convolutional Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018

Modeling Task fMRI Data Via Deep Convolutional Autoencoder.
IEEE Trans. Medical Imaging, 2018

Probabilistic Methods in Computational Neuroscience.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks.
IEEE Trans. Biomed. Eng., 2018

Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex.
IEEE Trans. Biomed. Eng., 2018

Dual Temporal and Spatial Sparse Representation for Inferring Group-Wise Brain Networks From Resting-State fMRI Dataset.
IEEE Trans. Biomed. Eng., 2018

Decoding Auditory Saliency from Brain Activity Patterns during Free Listening to Naturalistic Audio Excerpts.
Neuroinformatics, 2018

Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs.
NeuroImage, 2018

Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization.
Medical Image Anal., 2018

A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data.
Frontiers Neuroinformatics, 2018

Optimization of macaque brain DMRI connectome by neuron tracing and myelin stain data.
Comput. Medical Imaging Graph., 2018

Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN).
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Identification of Species-Preserved Cortical Landmarks.
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.
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Joint representation of cortical folding, structural connectivity and functional networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Modeling resting state fMRI data via longitudinal supervised stochastic coordinate coding.
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.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Latent source mining of fMRI data via deep belief network.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Modeling task fMRI data via mixture of deep expert networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Exploring intrinsic networks and their interactions using group wise temporal sparse coding.
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.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Dynamic Time-frequency Feature Extraction for Brain Activity Recognition.
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.
Neuroinformatics, 2017

Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder.
Medical Image Anal., 2017

Task fMRI data analysis based on supervised stochastic coordinate coding.
Medical Image Anal., 2017

Gyral net: A new representation of cortical folding organization.
Medical Image Anal., 2017

Mechanisms of circumferential gyral convolution in primate brains.
J. Comput. Neurosci., 2017

Radial Structure Scaffolds Convolution Patterns of Developing Cerebral Cortex.
Frontiers Comput. Neurosci., 2017

Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.
CoRR, 2017

Fast assembling of neuron fragments in serial 3D sections.
Brain Informatics, 2017

Multi-way Regression Reveals Backbone of Macaque Structural Brain Connectivity in Longitudinal Datasets.
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.
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.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Template-guided Functional Network Identification via Supervised Dictionary Learning.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Exploring human brain activation via nested sparse coding and functional operators.
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.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Decoding dynamic auditory attention during naturalistic experience.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

3-D functional brain network classification using Convolutional Neural Networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

FMRI data classification based on hybrid temporal and spatial sparse representation.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Predicting cortical 3-hinge locations via structural connective features.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Inter-subject fMRI registration based on functional networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Modeling Task fMRI Data via Deep Convolutional Autoencoder.
Proceedings of the Information Processing in Medical Imaging, 2017

2016
Two-Stage Learning to Predict Human Eye Fixations via SDAEs.
IEEE Trans. Cybern., 2016

Predicting Movie Trailer Viewer's "Like/Dislike" via Learned Shot Editing Patterns.
IEEE Trans. Affect. Comput., 2016

Group-wise consistent cortical parcellation based on connectional profiles.
Medical Image Anal., 2016

Automatic motion tracking and data analysis system for a rat.
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.
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.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Exploring Brain Networks via Structured Sparse Representation of fMRI Data.
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.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Species Preserved and Exclusive Structural Connections Revealed by Sparse CCA.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Discover Mouse Gene Coexpression Landscape Using Dictionary Learning and Sparse Coding.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Modeling Functional Dynamics of Cortical Gyri and Sulci.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis.
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.
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.
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.
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.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Modeling functional network dynamics via multi-scale dictionary learning and network continuums.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Multple-demand system identification and characterization via sparse representations of fMRI data.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Latent source mining in FMRI data via deep neural network.
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.
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.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Supervised Dictionary Learning for Inferring Concurrent Brain Networks.
IEEE Trans. Medical Imaging, 2015

Morphological Analysis of the Left Ventricular Endocardial Surface Using a Bag-of-Features Descriptor.
IEEE J. Biomed. Health Informatics, 2015

Learning Computational Models of Video Memorability from fMRI Brain Imaging.
IEEE Trans. Cybern., 2015

Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function.
IEEE Trans. Biomed. Eng., 2015

Anatomy-Guided Dense Individualized and Common Connectivity-Based Cortical Landmarks (A-DICCCOL).
IEEE Trans. Biomed. Eng., 2015

Guest Editorial Multimodal Modeling and Analysis Informed by Brain Imaging - Part 1.
IEEE Trans. Auton. Ment. Dev., 2015

Sparsity-Constrained fMRI Decoding of Visual Saliency in Naturalistic Video Streams.
IEEE Trans. Auton. Ment. Dev., 2015

Decoding Semantics Categorization during Natural Viewing of Video Streams.
IEEE Trans. Auton. Ment. Dev., 2015

Arousal Recognition Using Audio-Visual Features and FMRI-Based Brain Response.
IEEE Trans. Affect. Comput., 2015

Optimization of large-scale mouse brain connectome via joint evaluation of DTI and neuron tracing data.
NeuroImage, 2015

Sparse representation of whole-brain fMRI signals for identification of functional networks.
Medical Image Anal., 2015

Analysis of music/speech via integration of audio content and functional brain response.
Inf. Sci., 2015

HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI).
Brain Informatics, 2015

SmartTracing: self-learning-based Neuron reconstruction.
Brain Informatics, 2015

Multi-scale and Multimodal Fusion of Tract-Tracing, Myelin Stain and DTI-derived Fibers in Macaque Brains.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Distance Networks for Morphological Profiling and Characterization of DICCCOL Landmarks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding.
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.
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.
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.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Group-wise consistent sulcal fundi segmentation based on DMRI-derived ODF features.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Interactive exemplar-based segmentation toolkit for biomedical image analysis.
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.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Signal sampling for efficient sparse representation of resting state FMRI data.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Deriving ADHD biomarkers with sparse coding based network analysis.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Dynamic Bayesian brain network partition and connectivity change point detection.
Proceedings of the 5th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2015

Predicting eye fixations using convolutional neural networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Learning coarse-to-fine sparselets for efficient object detection and scene classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Merging Neuroimaging and Multimedia: Methods, Opportunities, and Challenges.
IEEE Trans. Hum. Mach. Syst., 2014

Group-Wise FMRI Activation Detection on DICCCOL Landmarks.
Neuroinformatics, 2014

Fusing DTI and fMRI data: A survey of methods and applications.
NeuroImage, 2014

Interactive object-based image retrieval and annotation on iPad.
Multim. Tools Appl., 2014

Characterization of U-shape streamline fibers: Methods and applications.
Medical Image Anal., 2014

Mathematical Approaches in Advanced Control Theories 2013.
J. Appl. Math., 2014

Video abstraction based on fMRI-driven visual attention model.
Inf. Sci., 2014

Clustering and retrieval of video shots based on natural stimulus fMRI.
Neurocomputing, 2014

Decoding Auditory Saliency from FMRI Brain Imaging.
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.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Connectomics signature for characterizaton of mild cognitive impairment and schizophrenia.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Sparse representation of working memory processes based on fMRI data.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Group-wise consistent cortical parcellation based on DTI-derived connectional profiles.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Learning fMRI-guided predictor of video shot changes.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Group-wise connection activation detection based on DICCCOL.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Exploring consistent functional brain networks during free viewing of videos via sparse representation.
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.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Dynamic network partition via Bayesian connectivity bi-partition change point model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Exploring functional brain dynamics via a Bayesian connectivity change point model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Generalized fMRI activation detection via Bayesian magnitude change point model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Discovering network-level functional interactions from working memory fMRI data.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Integrating group-wise functional brain activities via point processes.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Evolutionarily-preserved consistent gyral folding patterns across primate brains.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Group-wise optimization and individualized prediction of structural connectomes.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-View Spectral Clustering.
IEEE Trans. Medical Imaging, September, 2013

Representing and Retrieving Video Shots in Human-Centric Brain Imaging Space.
IEEE Trans. Image Process., 2013

An Object-Oriented Visual Saliency Detection Framework Based on Sparse Coding Representations.
IEEE Trans. Circuits Syst. Video Technol., 2013

Grand Challenges in Mapping the Human Brain: NSF Workshop Report.
IEEE Trans. Biomed. Eng., 2013

FMRI Signal Analysis Using Empirical Mean Curve Decomposition.
IEEE Trans. Biomed. Eng., 2013

Meta-Analysis of Functional Roles of DICCCOLs.
Neuroinformatics, 2013

Detecting Brain State Changes via Fiber-Centered Functional Connectivity Analysis.
Neuroinformatics, 2013

Fine-Granularity Functional Interaction Signatures for Characterization of Brain Conditions.
Neuroinformatics, 2013

Resting State fMRI-guided Fiber Clustering: Methods and Applications.
Neuroinformatics, 2013

Predicting cortical ROIs via joint modeling of anatomical and connectional profiles.
Medical Image Anal., 2013

Characterization of task-free and task-performance brain states via functional connectome patterns.
Medical Image Anal., 2013

A Comparative Study of Theoretical Graph Models for Characterizing Structural Networks of Human Brain.
Int. J. Biomed. Imaging, 2013

Morphological Analusis Of The Left Ventricular Eendocardial Surface Using A Bag-Of-Features Descriptor
CoRR, 2013

Sparse Representation of Higher-Order Functional Interaction Patterns in Task-Based FMRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Modeling Cognitive Processes via Multi-stage Consistent Functional Response Detection.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Group-Wise FMRI Activation Detection on Corresponding Cortical Landmarks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Sparse Representation of Group-Wise FMRI Signals.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Modeling Dynamic Functional Information Flows on Large-Scale Brain Networks.
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.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Anatomy-Guided Discovery of Large-Scale Consistent Connectivity-Based Cortical Landmarks.
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.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Inferring functional network-based signatures via structurally-weighted LASSO model.
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.
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.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Data-driven evaluation of functional connectivity metrics.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Joint analysis of gyral folding and fiber shape patterns.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Identifying functional connectomics abnormality in attention deficit hyperactivity disorder.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Discovering common functional connectomics signatures.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Functional brain interactions during free viewing of video stream.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Construction of multi-scale brain networks via DICCCOL landmarks.
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.
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.
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.
Proceedings of the Information Processing in Medical Imaging, 2013

Construction of Multi-scale Common Brain Networks Based on DICCCOL.
Proceedings of the Information Processing in Medical Imaging, 2013

2012
Bridging the Semantic Gap via Functional Brain Imaging.
IEEE Trans. Multim., 2012

Individual Functional ROI Optimization Via Maximization of Group-Wise Consistency of Structural and Functional Profiles.
Neuroinformatics, 2012

Optimization of functional brain ROIs via maximization of consistency of structural connectivity profiles.
NeuroImage, 2012

Inferring consistent functional interaction patterns from natural stimulus FMRI data.
NeuroImage, 2012

Visual analytics of brain networks.
NeuroImage, 2012

Music/speech classification using high-level features derived from fmri brain imaging.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Characterization of Task-Free/Task-Performance Brain States.
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.
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012

Morphological Analysis of the Left Ventricular Endocardial Surface and Its Clinical Implications.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Optimization of fMRI-Derived ROIs Based on Coherent Functional Interaction Patterns.
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.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Optimization and Fiber-Centered Prediction of Functional Network ROIs.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

A Hybrid Point-Sets Clustering Approach to Identification of Resting State Functional Network.
Proceedings of the Pattern Recognition - Chinese Conference, 2012

2011
Complex span tasks and hippocampal recruitment during working memory.
NeuroImage, 2011

Identification of cortical landmarks based on structural connectivity to subcortical regions.
Int. J. Comput. Biol. Drug Des., 2011

A biologically inspired computational model for image saliency detection.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Predicting Functional Brain ROIs via Fiber Shape Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Fiber-Centered Granger Causality Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Resting State fMRI-Guided Fiber Clustering.
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.
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.
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.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Assessing graph models for description of brain networks.
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.
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.
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.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Discovering Dense and Consistent Landmarks in the Brain.
Proceedings of the Information Processing in Medical Imaging, 2011

Activated Fibers: Fiber-Centered Activation Detection in Task-Based FMRI.
Proceedings of the Information Processing in Medical Imaging, 2011

Retrieving video shots in semantic brain imaging space using manifold-ranking.
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.
Proceedings of the Functional Imaging and Modeling of the Heart, 2011

2010
A hybrid approach to automatic clustering of white matter fibers.
NeuroImage, 2010

Gyral folding pattern analysis via surface profiling.
NeuroImage, 2010

An automated pipeline for cortical sulcal fundi extraction.
Medical Image Anal., 2010

Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles.
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.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Gyral parcellation of cortical surfaces via coupled flow field tracking.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Optimal combination of multiple cortical surface parcellations.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Automatic clustering of white matter fibers based on symbolic sequence analysis.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Fiber-Centered Analysis of Brain Connectivities Using DTI and Resting State FMRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

A Dynamic Skull Model for Simulation of Cerebral Cortex Folding.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Predictive modeling of neuroanatomic structures for brain atrophy detection.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

Automatic Cortical Gyral Parcellation Using Probabilistic Atlas and Graph Cuts.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

Cortical Sulcal Bank Segmentation via Geometric Similarity Based Graph Partition.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

Automatic cortical surface parcellation based on fiber density information.
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.
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.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Joint analysis of fiber shape and cortical folding patterns.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Automated Cell Phase Classification for Zebrafish Fluorescence Microscope Images.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Human-centered attention models for video summarization.
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.
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.
NeuroImage, 2009

Imaging informatics for personalised medicine: applications and challenges.
Int. J. Funct. Informatics Pers. Medicine, 2009

Automated brain tumor segmentation using spatial accuracy-weighted hidden Markov Random Field.
Comput. Medical Imaging Graph., 2009

Review of methods for functional brain connectivity detection using fMRI.
Comput. Medical Imaging Graph., 2009

Deformation invariant attribute vector for deformable registration of longitudinal brain MR images.
Comput. Medical Imaging Graph., 2009

Parametric Representation of Cortical Surface Folding Based on Polynomials.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

A Computational Model of Cerebral Cortex Folding.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Gyral Folding Pattern Analysis via Surface Profiling.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Grouping of Brain MR Images via Affinity Propagation.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

2008
An Automated Method for Cell Detection in Zebrafish.
Neuroinformatics, 2008

Reconstruction of central cortical surface from brain MRI images: Method and application.
NeuroImage, 2008

ZFIQ: a software package for zebrafish biology.
Bioinform., 2008

A Novel Method for Cortical Sulcal Fundi Extraction.
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].
IEEE Signal Process. Mag., 2007

Brain tissue segmentation based on DTI data.
NeuroImage, 2007

Least-square conformal brain mapping with spring energy.
Comput. Medical Imaging Graph., 2007

Reconstruction of Central Cortical Surface from Brain Mri Images: Method and Application.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Segmentation of Touching Cells Using Gradient Flow Tracking.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Deformable Registration of Dti and Spgr Images.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
Eval-ware: medical imaging resources.
IEEE Signal Process. Mag., 2006

76-Space analysis of grey matter diffusivity: Methods and applications.
NeuroImage, 2006

Stochastic Robust Stability Analysis for Markovian Jump Discrete-Time Delayed Neural Networks with Multiplicative Nonlinear Perturbations.
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.
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.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Brain tissue segmentation based on DWI/DTI data.
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.
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.
NeuroImage, 2004

Deformable Registration of Tumor-Diseased Brain Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Predictive Modeling of Anatomic Structures Using Canonical Correlation Analysis.
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.
IEEE Trans. Circuits Syst. Video Technol., 2003

2002
A systematic rate controller for MPEG-4 FGS video streaming.
Multim. Syst., 2002

Adaptive self-excitation groups in visual curve integration.
Neurocomputing, 2002

A novel video key frame extraction algorithm.
Proceedings of the 2002 International Symposium on Circuits and Systems, 2002

2001
A Content-Aware Rate Controller For Streamed Delivery Of MPEG-4 Fgs Video.
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.
Proceedings of the Visual Communications and Image Processing 2000, 2000

1999
Random time-division operation for salience of visual contours.
Proceedings of the International Joint Conference Neural Networks, 1999


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