Qian Wang

Orcid: 0000-0002-3490-3836

Affiliations:
  • Shanghai Jiao Tong University, Med-X Research Institute, School of Biomedical Engineering, China
  • University of North Carolina at Chapel Hill, NC, USA (former)


According to our database1, Qian Wang authored at least 172 papers between 2009 and 2024.

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Bibliography

2024
Joint Cross-Attention Network With Deep Modality Prior for Fast MRI Reconstruction.
IEEE Trans. Medical Imaging, January, 2024

RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, January, 2024

Two-stage Cytopathological Image Synthesis for Augmenting Cervical Abnormality Screening.
CoRR, 2024

Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling.
IEEE Trans. Medical Imaging, November, 2023

Breast Tumor Segmentation in DCE-MRI With Tumor Sensitive Synthesis.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Unsupervised Landmark Detection-Based Spatiotemporal Motion Estimation for 4-D Dynamic Medical Images.
IEEE Trans. Cybern., June, 2023

Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution.
IEEE Trans. Medical Imaging, February, 2023

Image synthesis with disentangled attributes for chest X-ray nodule augmentation and detection.
Medical Image Anal., 2023

CLIP in Medical Imaging: A Comprehensive Survey.
CoRR, 2023

MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis.
CoRR, 2023

ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs.
CoRR, 2023

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

Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction.
CoRR, 2023

DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task.
CoRR, 2023

Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks.
CoRR, 2023

ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models.
CoRR, 2023

Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Multimodal MRI Reconstruction Assisted With Spatial Alignment Network.
IEEE Trans. Medical Imaging, 2022

Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images.
IEEE Trans. Medical Imaging, 2022

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

GAN-Guided Deformable Attention Network for Identifying Thyroid Nodules in Ultrasound Images.
IEEE J. Biomed. Health Informatics, 2022

Semantic instance segmentation with discriminative deep supervision for medical images.
Medical Image Anal., 2022

Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition.
Medical Image Anal., 2022

Automatic Grading Assessments for Knee MRI Cartilage Defects via Self-ensembling Semi-supervised Learning with Dual-Consistency.
Medical Image Anal., 2022

Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network.
Medical Image Anal., 2022

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

Transformers in Medical Image Analysis: A Review.
CoRR, 2022

Scale-free dynamics of microstate sequence in negative schizophrenia and depressive disorder.
Comput. Biol. Medicine, 2022

Joint deep learning for batch effect removal and classification toward MALDI MS based metabolomics.
BMC Bioinform., 2022

Local Graph Fusion of Multi-view MR Images for Knee Osteoarthritis Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

TaG-Net: Topology-Aware Graph Network for Vessel Labeling.
Proceedings of the Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, 2022

2021
Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis.
IEEE Trans. Medical Imaging, 2021

Reducing magnetic resonance image spacing by learning without ground-truth.
Pattern Recognit., 2021

Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images.
CoRR, 2021

Multi-Modal MRI Reconstruction with Spatial Alignment Network.
CoRR, 2021

Hierarchical pathology screening for cervical abnormality.
Comput. Medical Imaging Graph., 2021

Automatic left ventricular cavity segmentation via deep spatial sequential network in 4D computed tomography.
Comput. Medical Imaging Graph., 2021

An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans.
Comput. Medical Imaging Graph., 2021

Computing infection distributions and longitudinal evolution patterns in lung CT images.
BMC Medical Imaging, 2021

Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Self-guided Multi-attention Network for Periventricular Leukomalacia Recognition.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Anatomical Structure-Aware Pulmonary Nodule Detection via Parallel Multi-task RoI Head.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Robust Hydrocephalus Brain Segmentation via Globally and Locally Spatial Guidance.
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021

Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

False Positive Suppression in Cervical Cell Screening via Attention-Guided Semi-supervised Learning.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

2020
Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation.
IEEE Trans. Medical Imaging, 2020

CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation.
IEEE Trans. Medical Imaging, 2020

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia.
IEEE Trans. Medical Imaging, 2020

A Multi-Organ Nucleus Segmentation Challenge.
IEEE Trans. Medical Imaging, 2020

Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting".
IEEE Trans. Medical Imaging, 2020

Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation.
IEEE Trans. Image Process., 2020

Corrections to "Deep Learning Based Multi-Modal Fusion for Fast MR Reconstruction".
IEEE Trans. Biomed. Eng., 2020

Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations.
IEEE Trans. Biomed. Eng., 2020

Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks".
IEEE Trans. Biomed. Eng., 2020

Deep morphological simplification network (MS-Net) for guided registration of brain magnetic resonance images.
Pattern Recognit., 2020

SLIR: Synthesis, localization, inpainting, and registration for image-guided thermal ablation of liver tumors.
Medical Image Anal., 2020

Collaborative Fairness in Federated Learning.
CoRR, 2020

mr2NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography.
CoRR, 2020

An Auto-Context Deformable Registration Network for Infant Brain MRI.
CoRR, 2020

A Self-ensembling Framework for Semi-supervised Knee Osteoarthritis Localization and Classification with Dual-Consistency.
CoRR, 2020

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19.
CoRR, 2020

Hierarchical and Robust Pathology Image Reading for High-Throughput Cervical Abnormality Screening.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Learning MRI k-Space Subsampling Pattern Using Progressive Weight Pruning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

mr<sup>2</sup>NST: Multi-resolution and Multi-reference Neural Style Transfer for Mammography.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images.
Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020

A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

Data-Consistency in Latent Space and Online Update Strategy to Guide GAN for Fast MRI Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2020

Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting.
IEEE Trans. Medical Imaging, 2019

Machine Learning in Medical Imaging.
IEEE J. Biomed. Health Informatics, 2019

Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph.
IEEE J. Biomed. Health Informatics, 2019

Sparse Multiview Task-Centralized Ensemble Learning for ASD Diagnosis Based on Age- and Sex-Related Functional Connectivity Patterns.
IEEE Trans. Cybern., 2019

Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction.
IEEE Trans. Biomed. Eng., 2019

Adversarial learning for mono- or multi-modal registration.
Medical Image Anal., 2019

Immunomics Datasets and Tools: To Identify Potential Epitope Segments for Designing Chimeric Vaccine Candidate to Cervix Papilloma.
Data, 2019

Dual Adversarial Learning with Attention Mechanism for Fine-grained Medical Image Synthesis.
CoRR, 2019

Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization.
CoRR, 2019

Automated Segmentation of the Optic Disk and Cup using Dual-Stage Fully Convolutional Networks.
CoRR, 2019

Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images.
CoRR, 2019

Hippocampal Segmentation From Longitudinal Infant Brain MR Images via Classification-Guided Boundary Regression.
IEEE Access, 2019

Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans Using Sparse Fidelity Loss and Adversarial Regularization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

cuRadiomics: A GPU-Based Radiomics Feature Extraction Toolkit.
Proceedings of the Radiomics and Radiogenomics in Neuro-oncology, 2019

CoCa-GAN: Common-Feature-Learning-Based Context-Aware Generative Adversarial Network for Glioma Grading.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Local-Global Refinement Network for Stent Analysis in IVOCT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Cross Modality Microscopy Segmentation via Adversarial Adaptation.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

Unpaired Mr to CT Synthesis with Explicit Structural Constrained Adversarial Learning.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas.
IEEE Trans. Medical Imaging, 2018

Region-Adaptive Deformable Registration of CT/MRI Pelvic Images via Learning-Based Image Synthesis.
IEEE Trans. Image Process., 2018

Medical Image Synthesis with Deep Convolutional Adversarial Networks.
IEEE Trans. Biomed. Eng., 2018

Deformable Image Registration Using a Cue-Aware Deep Regression Network.
IEEE Trans. Biomed. Eng., 2018

Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image.
Medical Image Anal., 2018

Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity.
CoRR, 2018

Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection.
Comput. Medical Imaging Graph., 2018

Malignant Brain Tumor Classification Using the Random Forest Method.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Unpaired Deep Cross-Modality Synthesis with Fast Training.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Multi-Atlas Based Early Prediction of Post-Traumatic Stress Disorder.
Proceedings of the ISICDM 2018: The 2nd International Symposium on Image Computing and Digital Medicine 2018, 2018

Longitudinal Sparse Regression for Neuroimage Based Consciousness Assessing and Tracking of Hydrocephalus Patients.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017
Correction to "Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning".
IEEE Trans. Biomed. Eng., 2017

Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution.
Pattern Recognit., 2017

Machine learning in medical imaging.
Pattern Recognit., 2017

Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images.
Neurocomputing, 2017

Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI.
Neurocomputing, 2017

Deep Embedding Convolutional Neural Network for Synthesizing CT Image from T1-Weighted MR Image.
CoRR, 2017

Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural Network.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

Sparse Multi-view Task-Centralized Learning for ASD Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Medical Image Synthesis with Context-Aware Generative Adversarial Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deformable Image Registration Based on Similarity-Steered CNN Regression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning.
IEEE Trans. Biomed. Eng., 2016

Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

Cross-Manifold Guidance in Deformable Registration of Brain MR Images.
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016

Combination of Grey Matter and White Matter Features for Early Prediction of Posttraumatic Stress Disorder.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

2015
Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement.
IEEE Trans. Medical Imaging, 2015

Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition.
NeuroImage, 2015

Improved image registration by sparse patch-based deformation estimation.
NeuroImage, 2015

Predict brain MR image registration via sparse learning of appearance and transformation.
Medical Image Anal., 2015

Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images.
Medical Image Anal., 2015

Automatic Hippocampus Labeling Using the Hierarchy of Sub-region Random Forests.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Image Super-Resolution by Supervised Adaption of Patchwise Self-similarity from High-Resolution Image.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Dual-Layer ℓ<sub>1</sub>-Graph Embedding for Semi-supervised Image Labeling.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Multi-atlas Context Forests for Knee MR Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Interactive Registration and Segmentation for Multi-Atlas-Based Labeling of Brain MR Image.
Proceedings of the Computer Vision - CCF Chinese Conference, 2015

2014
Integration of Network Topological and Connectivity Properties for Neuroimaging Classification.
IEEE Trans. Biomed. Eng., 2014

Hierarchical unbiased graph shrinkage (HUGS): A novel groupwise registration for large data set.
NeuroImage, 2014

A generative probability model of joint label fusion for multi-atlas based brain segmentation.
Medical Image Anal., 2014

Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

2013
Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images.
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.
Proceedings of the Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, 2013

Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration.
Proceedings of the Information Processing in Medical Imaging, 2013

Groupwise Registration via Graph Shrinkage on the Image Manifold.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Registration of longitudinal brain image sequences with implicit template and spatial-temporal heuristics.
NeuroImage, 2012

Directed graph based image registration.
Comput. Medical Imaging Graph., 2012

Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration for MR Brain Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011
SharpMean: Groupwise registration guided by sharp mean image and tree-based registration.
NeuroImage, 2011

Intermediate templates guided groupwise registration of diffusion tensor images.
NeuroImage, 2011

Estimating the 4D Respiratory Lung Motion by Spatiotemporal Registration and Building Super-Resolution Image.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Diffusion Tensor Image Registration with Combined Tract and Tensor Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Fiber Modeling and Clustering Based on Neuroanatomical Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

iTree: Fast and accurate image registration based on the combinative and incremental tree.
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.
Proceedings of the Information Processing in Medical Imaging, 2011

2010
Attribute vector guided groupwise registration.
NeuroImage, 2010

ABSORB: Atlas building by self-organized registration and bundling.
NeuroImage, 2010

Groupwise Registration by Hierarchical Anatomical Correspondence Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Registration of Longitudinal Image Sequences with Implicit Template and Spatial-Temporal Heuristics.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Groupwise Registration with Sharp Mean.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Hierarchical Fiber Clustering Based on Multi-Scale Neuroanatomical Features.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

Groupwise registration from exemplar to group mean: xtending HAMMER to groupwise registration.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Group-wise registration of large image dataset by hierarchical clustering and alignment.
Proceedings of the Medical Imaging 2009: Image Processing, 2009


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