Tianming Liu
Orcid: 0000-0002-5216-933XAffiliations:
- 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 468 papers
between 1999 and 2025.
Collaborative distances:
Collaborative distances:
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on cs.uga.edu
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on orcid.org
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Bibliography
2025
Learning lifespan brain anatomical correspondence via cortical developmental continuity transfer.
Medical Image Anal., 2025
2024
CE-GAN: Community Evolutionary Generative Adversarial Network for Alzheimer's Disease Risk Prediction.
IEEE Trans. Medical Imaging, November, 2024
IEEE Trans. Artif. Intell., August, 2024
ACM Trans. Spatial Algorithms Syst., June, 2024
Editorial Special Issue on Explainable and Generalizable Deep Learning for Medical Imaging.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
IEEE Trans. Biomed. Eng., May, 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
Structure Mapping Generative Adversarial Network for Multi-View Information Mapping Pattern Mining.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024
Inf. Fusion, April, 2024
Spatial-temporal convolutional attention for discovering and characterizing functional brain networks in task fMRI.
NeuroImage, February, 2024
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
BI-AVAN: A Brain-Inspired Adversarial Visual Attention Network for Characterizing Human Visual Attention From Neural Activity.
IEEE Trans. Multim., 2024
Fusing multi-scale functional connectivity patterns via Multi-Branch Vision Transformer (MB-ViT) for macaque brain age prediction.
Neural Networks, 2024
Medical Image Anal., 2024
Medical Image Anal., 2024
Medical Image Anal., 2024
Knowl. Based Syst., 2024
Using Structural Similarity and Kolmogorov-Arnold Networks for Anatomical Embedding of 3-hinge Gyrus.
CoRR, 2024
CoRR, 2024
Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning.
CoRR, 2024
EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis.
CoRR, 2024
3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models.
CoRR, 2024
HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learning.
CoRR, 2024
LLM-POTUS Score: A Framework of Analyzing Presidential Debates with Large Language Models.
CoRR, 2024
CoRR, 2024
Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery.
CoRR, 2024
A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks.
CoRR, 2024
Brain Dialogue Interface (BDI): A User-Friendly fMRI Model for Interactive Brain Decoding.
CoRR, 2024
Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis.
CoRR, 2024
Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Comput. Electron. Agric., 2024
Computer Vision-Based cybernetics systems for promoting modern poultry Farming: A critical review.
Comput. Electron. Agric., 2024
Zero-shot image segmentation for monitoring thermal conditions of individual cage-free laying hens.
Comput. Electron. Agric., 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Epileptic Seizure Detection in SEEG Signals Using a Unified Multi-Scale Temporal-Spatial-Spectral Transformer Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Enhancing Group-Wise Consistency in 3-Hinge Gyrus Matching Via Anatomical Embedding and Structural Connectivity Optimization.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
IEEE Trans. Biomed. Eng., December, 2023
IEEE Trans. Medical Imaging, November, 2023
Arousal modulates the amygdala-insula reciprocal connectivity during naturalistic emotional movie watching.
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
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
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
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
CoRR, 2023
CoRR, 2023
CoRR, 2023
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges.
CoRR, 2023
CoRR, 2023
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
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications.
CoRR, 2023
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.
CoRR, 2023
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
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
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
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
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
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
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
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
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
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
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
A Unified and Biologically-Plausible Relational Graph Representation of Vision Transformers.
CoRR, 2022
Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution.
CoRR, 2022
Discovering Dynamic Functional Brain Networks via Spatial and Channel-wise Attention.
CoRR, 2022
CoRR, 2022
Learning brain representation using recurrent Wasserstein generative adversarial net.
Comput. Methods Programs Biomed., 2022
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
IEEE J. Biomed. Health Informatics, 2021
IEEE Trans. Cogn. Dev. Syst., 2021
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
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
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
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
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
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
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
IEEE Trans. Biomed. Eng., 2019
IEEE Trans. Big Data, 2019
Medical Image Anal., 2019
Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics.
Neurocomputing, 2019
IEEE Access, 2019
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
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
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
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Medical Imaging, 2018
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
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
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
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
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
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
Medical Image Anal., 2017
Medical Image Anal., 2017
J. Comput. Neurosci., 2017
Frontiers Comput. Neurosci., 2017
Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.
CoRR, 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
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
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the Information Processing in Medical Imaging, 2017
2016
IEEE Trans. Cybern., 2016
IEEE Trans. Affect. Comput., 2016
Medical Image Anal., 2016
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
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
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
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
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
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
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
IEEE Trans. Auton. Ment. Dev., 2015
IEEE Trans. Auton. Ment. Dev., 2015
IEEE Trans. Auton. Ment. Dev., 2015
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
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
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
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
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
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 5th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2015
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
IEEE Trans. Hum. Mach. Syst., 2014
Multim. Tools Appl., 2014
Medical Image Anal., 2014
Neurocomputing, 2014
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
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
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
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
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
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
IEEE Trans. Image Process., 2013
An Object-Oriented Visual Saliency Detection Framework Based on Sparse Coding Representations.
IEEE Trans. Circuits Syst. Video Technol., 2013
IEEE Trans. Biomed. Eng., 2013
IEEE Trans. Biomed. Eng., 2013
Neuroinformatics, 2013
Fine-Granularity Functional Interaction Signatures for Characterization of Brain Conditions.
Neuroinformatics, 2013
Neuroinformatics, 2013
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
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
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
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
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
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
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
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the Information Processing in Medical Imaging, 2013
Proceedings of the Information Processing in Medical Imaging, 2013
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
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
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
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
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
NeuroImage, 2011
Identification of cortical landmarks based on structural connectivity to subcortical regions.
Int. J. Comput. Biol. Drug Des., 2011
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
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
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
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
Proceedings of the Information Processing in Medical Imaging, 2011
Proceedings of the Information Processing in Medical Imaging, 2011
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
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
Proceedings of the Medical Imaging 2010: Image Processing, 2010
Proceedings of the Medical Imaging 2010: Image Processing, 2010
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
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
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the 12th International Conference on Multimodal Interfaces / 7. International Workshop on Machine Learning for Multimodal Interaction, 2010
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
Int. J. Funct. Informatics Pers. Medicine, 2009
Automated brain tumor segmentation using spatial accuracy-weighted hidden Markov Random Field.
Comput. Medical Imaging Graph., 2009
Comput. Medical Imaging Graph., 2009
Deformation invariant attribute vector for deformable registration of longitudinal brain MR images.
Comput. Medical Imaging Graph., 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009
2008
Reconstruction of central cortical surface from brain MRI images: Method and application.
NeuroImage, 2008
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
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
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
2006
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
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
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
2005
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
2003
IEEE Trans. Circuits Syst. Video Technol., 2003
2002
Proceedings of the 2002 International Symposium on Circuits and Systems, 2002
2001
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
Proceedings of the International Joint Conference Neural Networks, 1999