Tuo Zhang

Orcid: 0009-0003-5644-2633

According to our database1, Tuo Zhang authored at least 180 papers between 2008 and 2024.

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Bibliography

2024
Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training.
IEEE Trans. Mob. Comput., December, 2024

High Efficiency Inference Accelerating Algorithm for NOMA-Based Edge Intelligence.
IEEE Trans. Wirel. Commun., November, 2024

Automated quantification of crack length and width in asphalt pavements.
Comput. Aided Civ. Infrastructure Eng., November, 2024

An Automated 3D Crack Severity Assessment Using Surface Data for Improving Flexible Pavement Maintenance Strategies.
IEEE Trans. Intell. Transp. Syst., September, 2024

An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT.
IEEE Trans. Artif. Intell., August, 2024

Anatomy-Guided Spatio-Temporal Graph Convolutional Networks (AG-STGCNs) for Modeling Functional Connectivity Between Gyri and Sulci Across Multiple Task Domains.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Adversarial Learning Based Node-Edge Graph Attention Networks for Autism Spectrum Disorder Identification.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

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

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

Fusing multi-scale functional connectivity patterns via Multi-Branch Vision Transformer (MB-ViT) for macaque brain age prediction.
Neural Networks, 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

Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer.
CoRR, 2024

A Survey of Foundation Models for Music Understanding.
CoRR, 2024

ModalityMirror: Improving Audio Classification in Modality Heterogeneity Federated Learning with Multimodal Distillation.
CoRR, 2024

A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks.
CoRR, 2024

Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports.
CoRR, 2024

Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding.
CoRR, 2024

Eye-gaze Guided Multi-modal Alignment Framework for Radiology.
CoRR, 2024

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

GB<sub>RAIN</sub>: Combating Textual Label Noise by Granular-ball based Robust Training.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 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

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

3D-Guided Backward Iterative Structural Refinement for Histology-to-MRI Registration.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

The DURel Annotation Tool: Human and Computational Measurement of Semantic Proximity, Sense Clusters and Semantic Change.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

A Two-Stage Approach Using Genetic Algorithm and Genetic Programming for Remote Sensing Crop Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Surrogate-Assisted Evolutionary Q-Learning for Black-Box Dynamic Time-Linkage Optimization Problems.
IEEE Trans. Evol. Comput., 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

BIRGU Net: deformable brain magnetic resonance image registration using gyral-net map and 3D Res-Unet.
Medical Biol. Eng. Comput., February, 2023

High Efficiency Inference Accelerating Algorithm for NOMA-based Mobile Edge Computing.
CoRR, 2023

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

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

FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things.
CoRR, 2023

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

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

GPT-FL: Generative Pre-trained Model-Assisted Federated Learning.
CoRR, 2023

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

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

Secure Federated Learning against Model Poisoning Attacks via Client Filtering.
CoRR, 2023

When Brain-inspired AI Meets AGI.
CoRR, 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

$\mathrm {H^{2}}$GM: A Hierarchical Hypergraph Matching Framework for Brain Landmark Alignment.
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

FedMultimodal: A Benchmark for Multimodal Federated Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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

FedAudio: A Federated Learning Benchmark for Audio Tasks.
Proceedings of the IEEE International Conference on Acoustics, 2023

TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Multi-Agent Reinforcement Learning Approach to Promote Cooperation in Evolutionary Games on Networks with Environmental Feedback.
Proceedings of the 62nd IEEE Conference on Decision and Control, 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

Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Deep transfer learning for gesture recognition with WiFi signals.
Pers. Ubiquitous Comput., 2022

TransferSense: towards environment independent and one-shot wifi sensing.
Pers. Ubiquitous Comput., 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

Federated Learning for the Internet of Things: Applications, Challenges, and Opportunities.
IEEE Internet Things Mag., 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

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

A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Bridging Natruralistic Stimuli, Eye Movement And Brain Activity Via Cca And Locality Preserving Projection.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Prediction of Cognitive Scores by Movie-Watching FMRI Connectivity and Eye Movement Via Spectral Graph Convolutions.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Salient object detection via light-weight multi-path cascaded networks.
Neurocomputing, 2021

Layer-wise Adaptive Model Aggregation for Scalable Federated Learning.
CoRR, 2021

Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection.
CoRR, 2021

A Dense Margin Network for Human Activity Recognition Based on Augmented Channel State Information.
Proceedings of the 2021 IEEE SmartWorld, 2021

Federated Learning for Internet of Things.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 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

Exploring Gyro-Sulcal Functional Connectivity Differences Across Task Domains via Anatomy-Guided Spatio-Temporal Graph Convolutional Networks.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

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

Traveling the token world: A graph analysis of Ethereum ERC20 token ecosystem.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

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

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

2019
Mobility-Aware Smart Charging of Electric Bus Fleets.
CoRR, 2019

HumanFi: WiFi-Based Human Identification Using Recurrent Neural Network.
Proceedings of the 2019 IEEE SmartWorld, 2019

Salient Object Detection via Light-Weight Multi-path Refinement Networks.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Group-Wise Graph Matching of Cortical Gyral Hinges.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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

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

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

A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics.
Bioinform., 2018

Identification of Species-Preserved Cortical Landmarks.
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

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

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

EthSEQ: ethnicity annotation from whole exome sequencing data.
Bioinform., 2017

Cross-domain identity and discovery framework for web calling services.
Ann. des Télécommunications, 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

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

Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach.
Proceedings of the Information Processing in Medical Imaging, 2017

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

Some properties of.
J. Robotics Netw. Artif. Life, 2016

Sequence-based prediction of protein-peptide binding sites using support vector machine.
J. Comput. Chem., 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

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

Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

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

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

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

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

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

2014
Vers une médiation de composition dynamique de Services Web dans des environnements ubiquitaires. (Towards a mediation of dynamic composition of web services in ubiquitous environnement).
PhD thesis, 2014

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

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

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

Hierarchy Based on Neighborhood Template about k-Neighborhood Template A-Type Three-Dimensional Bounded Cellular Acceptor.
J. Robotics Netw. Artif. Life, 2014

Hierarchy Based on Configuration-Reader about k-Neighborhood Template A-Type Three-Dimensional Bounded Cellular Acceptor.
J. Robotics Netw. Artif. Life, 2014

Decoding Auditory Saliency from FMRI Brain Imaging.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 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

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

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

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

Meta-Analysis of Functional Roles of DICCCOLs.
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

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

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

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

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

Joint analysis of gyral folding and fiber shape patterns.
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

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

2012
Visual analytics of brain networks.
NeuroImage, 2012

SPINE X: Improving protein secondary structure prediction by multistep learning coupled with prediction of solvent accessible surface area and backbone torsion angles.
J. Comput. Chem., 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

Constructing Fiber Atlases for Functional ROIs via fMRI-Guided DTI Image Registration.
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 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

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

2011
In-silico prediction of disorder content using hybrid sequence representation.
BMC Bioinform., 2011

Critical assessment of high-throughput standalone methods for secondary structure prediction.
Briefings Bioinform., 2011

Identification of Cortical Landmarks Based on Consistent Connectivity to Subcortical Structures.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011

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

Ventricle Shape Analysis for Centenarians, Elderly Subjects, MCI and AD Patients.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 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

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

An Experience of a Lightweight User-Centric Dynamic Service Composition Mechanism.
Proceedings of the 13th IEEE International Conference on High Performance Computing & Communication, 2011

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

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

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

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

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

2008
Sequence based residue depth prediction using evolutionary information and predicted secondary structure.
BMC Bioinform., 2008

Accurate sequence-based prediction of catalytic residues.
Bioinform., 2008


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