Guorong Wu

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Analyzing The Spatiotemporal Interaction And Propagation Of Atn Biomarkers In Alzheimer's Disease Using Longitudinal Neuroimaging Data.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Discovering Unprecedented Heuristics For Hub Identification By Joint Graph Embedding And Reinforcement Learning.

[BibT_eX]

[DOI]

Defu Yang

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Constructing Reliable Network Of Biomarker Covariance By Joint Data Harmonization And Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

3D Nucleus Instance Segmentation for Whole-Brain Microscopy Images.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2021

Discovering Spreading Pathways of Neuropathological Events in Alzheimer's Disease Using Harmonic Wavelets.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2021

Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2021

Detecting Brain State Changes via Manifold Mean Shifting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Multi-Atlas Segmentation of Anatomical Brain Structures Using Hierarchical Hypergraph Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Attention-Guided Deep Graph Neural Network for Longitudinal Alzheimer's Disease Analysis.

[BibT_eX]

[DOI]

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

Detecting Changes of Functional Connectivity by Dynamic Graph Embedding Learning.

[BibT_eX]

[DOI]

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

Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold.

[BibT_eX]

[DOI]

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

Characterizing the Propagation Pattern of Neurodegeneration in Alzheimer's Disease by Longitudinal Network Analysis.

[BibT_eX]

[DOI]

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

Enriching Statistical Inferences on Brain Connectivity for Alzheimer's Disease Analysis via Latent Space Graph Embedding.

[BibT_eX]

[DOI]

Xin Ma

Won Hwa Kim

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

Characterizing Frequency-Selective Network Vulnerability for Alzheimer's Disease by Identifying Critical Harmonic Patterns.

[BibT_eX]

[DOI]

Benjamin Leinwand

Vladas Pipiras

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

A Novel Spatio-Temporal Hub Identification Method for Dynamic Functional Networks.

[BibT_eX]

[DOI]

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

Multi-graph Fusion for Functional Neuroimaging Biomarker Detection.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Network-Guided Reaction-Diffusion Model of AT[N] Biomarkers in Alzheimer's Disease.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019

Dynamic Hyper-Graph Inference Framework for Computer-Assisted Diagnosis of Neurodegenerative Diseases.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Sliding window correlation analysis: Modulating window shape for dynamic brain connectivity in resting state.

[BibT_eX]

[DOI]

NeuroImage, 2019

Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in Brain Connectivity.

[BibT_eX]

[DOI]

Xin Ma

Won Hwa Kim

CoRR, 2019

Joint Identification of Network Hub Nodes by Multivariate Graph Inference.

[BibT_eX]

[DOI]

Leo Charles Peek Zsembik

Martin Styner

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

Constructing Consistent Longitudinal Brain Networks by Group-Wise Graph Learning.

[BibT_eX]

[DOI]

Md Asadullah Turja

Leo Charles Peek Zsembik

Martin Styner

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

Constructing Multi-scale Connectome Atlas by Learning Graph Laplacian of Common Network.

[BibT_eX]

[DOI]

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

Revealing Functional Connectivity by Learning Graph Laplacian.

[BibT_eX]

[DOI]

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

Cross Modality Microscopy Segmentation via Adversarial Adaptation.

[BibT_eX]

[DOI]

Ashok K. Krishnamurthy

Proceedings of the Bioinformatics and Biomedical Engineering, 2019

SAU-Net: A Universal Deep Network for Cell Counting.

[BibT_eX]

[DOI]

Yue Guo

Jason L. Stein

Miguel Ángel González Ballester

Ashok K. Krishnamurthy

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018

Special Issue on High Performance Computing in Bio-medical Informatics.

[BibT_eX]

[DOI]

Neuroinformatics, 2018

Dynamic fMRI networks predict success in a behavioral weight loss program among older adults.

[BibT_eX]

[DOI]

NeuroImage, 2018

Learning non-linear patch embeddings with neural networks for label fusion.

[BibT_eX]

[DOI]

Alzheimer's Disease Neuroimaging Initiative

Medical Image Anal., 2018

GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion.

[BibT_eX]

[DOI]

Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018

Non-Euclidean, convolutional learning on cortical brain surfaces.

[BibT_eX]

[DOI]

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

Discrete Heat Kernel Smoothing in Irregular Image Domains.

[BibT_eX]

[DOI]

Moo K. Chung

Yanli Wang

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

2017

Correction to "Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning".

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2017

Robust multi-atlas label propagation by deep sparse representation.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning.

[BibT_eX]

[DOI]

Medical Image Anal., 2017

Progressive multi-atlas label fusion by dictionary evolution.

[BibT_eX]

[DOI]

Medical Image Anal., 2017

Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis.

[BibT_eX]

[DOI]

Medical Image Anal., 2017

Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Scalable joint segmentation and registration framework for infant brain images.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Personalized Diagnosis for Alzheimer's Disease.

[BibT_eX]

[DOI]

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

Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural Network.

[BibT_eX]

[DOI]

Ashok K. Krishnamurthy

Jason L. Stein

Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

Efficient Groupwise Registration for Brain MRI by Fast Initialization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2017

A Novel Dynamic Hyper-graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2017

Scalable High Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning.

[BibT_eX]

[DOI]

Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016

Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2016

Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2016

Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data.

[BibT_eX]

[DOI]

NeuroImage, 2016

A dynamic tree-based registration could handle possible large deformations among MR brain images.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2016

Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification.

[BibT_eX]

[DOI]

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

Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine.

[BibT_eX]

[DOI]

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

Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease.

[BibT_eX]

[DOI]

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

Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression.

[BibT_eX]

[DOI]

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

Identifying Relationships in Functional and Structural Connectome Data Using a Hypergraph Learning Method.

[BibT_eX]

[DOI]

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

Dual-Layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning.

[BibT_eX]

[DOI]

Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy.

[BibT_eX]

[DOI]

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

Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation.

[BibT_eX]

[DOI]

Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

Cross-Manifold Guidance in Deformable Registration of Brain MR Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016

2015

Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition.

[BibT_eX]

[DOI]

NeuroImage, 2015

Improved image registration by sparse patch-based deformation estimation.

[BibT_eX]

[DOI]

NeuroImage, 2015

Predict brain MR image registration via sparse learning of appearance and transformation.

[BibT_eX]

[DOI]

Medical Image Anal., 2015

A transversal approach for patch-based label fusion via matrix completion.

[BibT_eX]

[DOI]

Medical Image Anal., 2015

Building dynamic population graph for accurate correspondence detection.

[BibT_eX]

[DOI]

Medical Image Anal., 2015

Machine learning in medical imaging.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2015

Robust anatomical landmark detection with application to MR brain image registration.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2015

Multi-view Classification for Identification of Alzheimer's Disease.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

Automatic Hippocampus Labeling Using the Hierarchy of Sub-region Random Forests.

[BibT_eX]

[DOI]

Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Image Super-Resolution by Supervised Adaption of Patchwise Self-similarity from High-Resolution Image.

[BibT_eX]

[DOI]

Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Dual-Layer ℓ<sub>1</sub>-Graph Embedding for Semi-supervised Image Labeling.

[BibT_eX]

[DOI]

Qian Wang

Miguel Ángel González Ballester

Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Identifying Abnormal Network Alterations Common to Traumatic Brain Injury and Alzheimer's Disease Patients Using Functional Connectome Data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Progressive Label Fusion Framework for Multi-atlas Segmentation by Dictionary Evolution.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework.

[BibT_eX]

[DOI]

Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Hierarchical Multi-modal Image Registration by Learning Common Feature Representations.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Multi-atlas and Multi-modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph.

[BibT_eX]

[DOI]

Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Joint labeling of multiple regions of interest (ROIS) by enhanced auto context models.

[BibT_eX]

[DOI]

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

Discriminative Dimensionality Reduction for Patch-Based Label Fusion.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015

Interactive Registration and Segmentation for Multi-Atlas-Based Labeling of Brain MR Image.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - CCF Chinese Conference, 2015

2014

Correction to "Learning to Rank Atlases for Multiple-Atlas Segmentation".

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2014

Learning to Rank Atlases for Multiple-Atlas Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2014

Hierarchical unbiased graph shrinkage (HUGS): A novel groupwise registration for large data set.

[BibT_eX]

[DOI]

NeuroImage, 2014

A generative probability model of joint label fusion for multi-atlas based brain segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., 2014

Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Hierarchical Label Fusion with Multiscale Feature Representation and Label-Specific Patch Partition.

[BibT_eX]

[DOI]

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

Joint Segmentation and Registration for Infant Brain Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014

Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Novel Multi-Atlas Segmentation by Matrix Completion.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Maximum-Margin Based Representation Learning from Multiple Atlases for Alzheimer's Disease Classification.

[BibT_eX]

[DOI]

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

Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling.

[BibT_eX]

[DOI]

Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014

Robust Anatomical Landmark Detection for MR Brain Image Registration.

[BibT_eX]

[DOI]

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

Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features.

[BibT_eX]

[DOI]

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

Motion-guided resolution enhancement for Lung 4D-CT.

[BibT_eX]

[DOI]

Arnav Bhavsar

Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

Learning-Based Atlas Selection for Multiple-Atlas Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Robust Anatomical Correspondence Detection by Hierarchical Sparse Graph Matching.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2013

iBEAT: A Toolbox for Infant Brain Magnetic Resonance Image Processing.

[BibT_eX]

[DOI]

Neuroinformatics, 2013

Automatic hippocampus segmentation of 7.0 Tesla MR images by combining multiple atlases and auto-context models.

[BibT_eX]

[DOI]

NeuroImage, 2013

Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion.

[BibT_eX]

[DOI]

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

Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images.

[BibT_eX]

[DOI]

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

Brain-Cloud: A Generalized and Flexible Registration Framework for Brain MR Images.

[BibT_eX]

[DOI]

Proceedings of the Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, 2013

Unsupervised Deep Learning for Hippocampus Segmentation in 7.0 Tesla MR Images.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

Harnessing Group-Sparsity Regularization for Resolution Enhancement of Lung 4D-CT.

[BibT_eX]

[DOI]

Arnav Bhavsar

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

Inter-group image registration by hierarchical graph shrinkage.

[BibT_eX]

[DOI]

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

Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2013

Groupwise Registration via Graph Shrinkage on the Image Manifold.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Hierarchical Patch-Based Sparse Representation - A New Approach for Resolution Enhancement of 4D-CT Lung Data.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2012

A General Fast Registration Framework by Learning Deformation-Appearance Correlation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2012

A Statistical Framework for Inter-Group Image Registration.

[BibT_eX]

[DOI]

Shu Liao

Neuroinformatics, 2012

Registration of longitudinal brain image sequences with implicit template and spatial-temporal heuristics.

[BibT_eX]

[DOI]

Qian Wang

NeuroImage, 2012

A novel framework for longitudinal atlas construction with groupwise registration of subject image sequences.

[BibT_eX]

[DOI]

NeuroImage, 2012

Consistent reconstruction of cortical surfaces from longitudinal brain MR images.

[BibT_eX]

[DOI]

NeuroImage, 2012

Directed graph based image registration.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2012

Non-local Means Resolution Enhancement of Lung 4D-CT Data.

[BibT_eX]

[DOI]

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

Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation.

[BibT_eX]

[DOI]

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

Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration for MR Brain Images.

[BibT_eX]

[DOI]

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

Atlas Construction via Dictionary Learning and Group Sparsity.

[BibT_eX]

[DOI]

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

Dense Deformation Reconstruction via Sparse Coding.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Group Sparsity Constrained Automatic Brain Label Propagation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Sparse Patch-Guided Deformation Estimation for Improved Image Registration.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Robust Anatomical Correspondence Detection by Graph Matching with Sparsity Constraint.

[BibT_eX]

[DOI]

Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012

Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

SharpMean: Groupwise registration guided by sharp mean image and tree-based registration.

[BibT_eX]

[DOI]

NeuroImage, 2011

Intermediate templates guided groupwise registration of diffusion tensor images.

[BibT_eX]

[DOI]

NeuroImage, 2011

Confidence-Guided Sequential Label Fusion for Multi-atlas Based Segmentation.

[BibT_eX]

[DOI]

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

Estimating the 4D Respiratory Lung Motion by Spatiotemporal Registration and Building Super-Resolution Image.

[BibT_eX]

[DOI]

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

Diffusion Tensor Image Registration with Combined Tract and Tensor Features.

[BibT_eX]

[DOI]

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

Fiber Modeling and Clustering Based on Neuroanatomical Features.

[BibT_eX]

[DOI]

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

Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

Groupwise registration of breast DCE-MR images for accurate tumor measurement.

[BibT_eX]

[DOI]

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

iTree: Fast and accurate image registration based on the combinative and incremental tree.

[BibT_eX]

[DOI]

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

Reconstruction of 4D-CT from a Single Free-Breathing 3D-CT by Spatial-Temporal Image Registration.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2011

A Novel Longitudinal Atlas Construction Framework by Groupwise Registration of Subject Image Sequences.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2011

2010

F-TIMER: Fast Tensor Image Morphing for Elastic Registration.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2010

Human Brain Connectomics: Networks, Techniques, and Applications [Life Sciences].

[BibT_eX]

[DOI]

Pew-Thian Yap

IEEE Signal Process. Mag., 2010

TPS-HAMMER: Improving HAMMER registration algorithm by soft correspondence matching and thin-plate splines based deformation interpolation.

[BibT_eX]

[DOI]

NeuroImage, 2010

Attribute vector guided groupwise registration.

[BibT_eX]

[DOI]

NeuroImage, 2010

ABSORB: Atlas building by self-organized registration and bundling.

[BibT_eX]

[DOI]

NeuroImage, 2010

Groupwise Registration by Hierarchical Anatomical Correspondence Detection.

[BibT_eX]

[DOI]

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

Registration of Longitudinal Image Sequences with Implicit Template and Spatial-Temporal Heuristics.

[BibT_eX]

[DOI]

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

Groupwise Registration with Sharp Mean.

[BibT_eX]

[DOI]

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

A Generalized Learning Based Framework for Fast Brain Image Registration.

[BibT_eX]

[DOI]

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

Hierarchical Fiber Clustering Based on Multi-Scale Neuroanatomical Features.

[BibT_eX]

[DOI]

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

Groupwise registration from exemplar to group mean: xtending HAMMER to groupwise registration.

[BibT_eX]

[DOI]

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

2009

TIMER: Tensor Image Morphing for Elastic Registration.

[BibT_eX]

[DOI]

NeuroImage, 2009

RABBIT: Rapid alignment of brains by building intermediate templates.

[BibT_eX]

[DOI]

NeuroImage, 2009

Fast Tensor Image Morphing for Elastic Registration.

[BibT_eX]

[DOI]

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

2007

Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2007

2006

Learning-based deformable registration of MR brain images.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2006

A General Learning Framework for Non-rigid Image Registration.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging and Augmented Reality, 2006

Detecting and Segmenting Text from Natural Scenes with 2-Stage Classification.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

Improve brain registration using machine learning methods.

[BibT_eX]

[DOI]

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

2005

Learning Best Features for Deformable Registration of MR Brains.

[BibT_eX]

[DOI]