Li Wang
Orcid: 0000-0001-8927-6772Affiliations:
- University of North Carolina at Chapel Hill, IDEA Lab, Department of Radiology and BRIC, NC, USA
- Nanjing University of Science and Technology, School of Computer Science & Technology, China (former)
According to our database1,
Li Wang
authored at least 201 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
RClaNet: An Explainable Alzheimer's Disease Diagnosis Framework by Joint Registration and Classification.
IEEE J. Biomed. Health Informatics, April, 2024
PETS-Nets: Joint Pose Estimation and Tissue Segmentation of Fetal Brains Using Anatomy-Guided Networks.
IEEE Trans. Medical Imaging, March, 2024
2023
Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network.
Pattern Recognit., November, 2023
IEEE Trans. Neural Networks Learn. Syst., August, 2023
An attention-based context-informed deep framework for infant brain subcortical segmentation.
NeuroImage, April, 2023
Bidirectional prediction of facial and bony shapes for orthognathic surgical planning.
Medical Image Anal., 2023
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan.
CoRR, 2023
Early Autism Diagnosis based on Path Signature and Siamese Unsupervised Feature Compressor.
CoRR, 2023
Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI.
CoRR, 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
Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Collaborative Modality Generation and Tissue Segmentation for Early-Developing Macaque Brain MR Images.
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
Path-Based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Prediction of Infant Cognitive Development with Cortical Surface-Based Multimodal Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI.
IEEE Trans. Neural Networks Learn. Syst., 2022
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans.
IEEE Trans. Medical Imaging, 2022
Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images.
IEEE Trans. Medical Imaging, 2022
Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction.
IEEE Trans. Medical Imaging, 2022
Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning.
IEEE Trans. Medical Imaging, 2022
Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores.
IEEE Trans. Medical Imaging, 2022
Pattern Recognit., 2022
Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age.
NeuroImage, 2022
A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort.
NeuroImage, 2022
CoRR, 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
Plug-and-Play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
IEEE Trans. Medical Imaging, 2021
Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction.
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Medical Imaging, 2021
Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2021
Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects.
IEEE Trans. Biomed. Eng., 2021
DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques.
NeuroImage, 2021
The maturation and cognitive relevance of structural brain network organization from early infancy to childhood.
NeuroImage, 2021
Medical Image Anal., 2021
Diverse data augmentation for learning image segmentation with cross-modality annotations.
Medical Image Anal., 2021
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans.
CoRR, 2021
Automatic brain extraction from 3D fetal MR image with deep learning-based multi-step framework.
Comput. Medical Imaging Graph., 2021
Biomed. Signal Process. Control., 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Multi-scale Self-supervised Learning for Multi-site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Learning Transferable 3D-CNN for MRI-Based Brain Disorder Classification from Scratch: An Empirical Study.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases Based on Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Multi-Source Domain Adaptation via Optimal Transport for Brain Dementia Identification.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners.
IEEE Trans. Medical Imaging, 2020
Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages.
IEEE Trans. Medical Imaging, 2020
One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures.
IEEE Trans. Medical Imaging, 2020
IEEE J. Biomed. Health Informatics, 2020
Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks".
IEEE Trans. Biomed. Eng., 2020
Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization.
Medical Image Anal., 2020
Comput. Medical Imaging Graph., 2020
Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains.
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
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
Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features.
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
A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT.
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
Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting.
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
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
Siamese Verification Framework for Autism Identification During Infancy Using Cortical Path Signature Features.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Multi-Branch Deformable Convolutional Neural Network with Label Distribution Learning for Fetal Brain Age Prediction.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
6-Month Infant Brain Mri Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial Networks.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation.
IEEE Trans. Neural Networks Learn. Syst., 2019
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Cybern., 2019
3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation.
IEEE Trans. Cybern., 2019
Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network.
NeuroImage, 2019
The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development.
NeuroImage, 2019
Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications.
NeuroImage, 2019
Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation.
Medical Image Anal., 2019
Medical Image Anal., 2019
Frontiers Neuroinformatics, 2019
Comput. Medical Imaging Graph., 2019
Harmonization of Infant Cortical Thickness Using Surface-to-Surface Cycle-Consistent Adversarial Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Intrinsic Patch-Based Cortical Anatomical Parcellation Using Graph Convolutional Neural Network on Surface Manifold.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
End-to-End Dementia Status Prediction from Brain MRI Using Multi-task Weakly-Supervised Attention Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Charting Development-Based Joint Parcellation Maps Of Human and Macaque Brains During Infancy.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
A Preliminary Volumetric MRI Study of Amygdala and Hippocampal Subfields in Autism During Infancy.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the Information Processing in Medical Imaging, 2019
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Hierarchical Vertex Regression-Based Segmentation of Head and Neck CT Images for Radiotherapy Planning.
IEEE Trans. Image Process., 2018
IEEE Trans. Biomed. Eng., 2018
IEEE Trans. Biomed. Eng., 2018
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants.
Medical Image Anal., 2018
Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity.
CoRR, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 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
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Construction of spatiotemporal neonatal cortical surface atlases using a large-scale dataset.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Semi-supervised learning for pelvic MR image segmentation based on multi-task residual fully convolutional networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
A novel relational regularization feature selection method for joint regression and classification in AD diagnosis.
Medical Image Anal., 2017
Neurocomputing, 2017
Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-Learning Based Cascade Framework.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains.
IEEE Trans. Medical Imaging, 2016
Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model.
IEEE Trans. Medical Imaging, 2016
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features.
IEEE Trans. Biomed. Eng., 2016
In vivo MRI based prostate cancer localization with random forests and auto-context model.
Comput. Medical Imaging Graph., 2016
Comput. Aided Geom. Des., 2016
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images.
Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016
Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces Using Large-Scale Dataset.
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
Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016
Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016
Fully convolutional networks for multi-modality isointense infant brain image segmentation.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation.
NeuroImage, 2015
LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images.
NeuroImage, 2015
Construction of 4D high-definition cortical surface atlases of infants: Methods and applications.
Medical Image Anal., 2015
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Craniomaxillofacial Deformity Correction via Sparse Representation in Coherent Space.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Parcellation of Infant Surface Atlas Using Developmental Trajectories of Multidimensional Cortical Attributes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Hierarchical Multi-modal Image Registration by Learning Common Feature Representations.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
2014
NeuroImage, 2014
Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation.
NeuroImage, 2014
Measuring the dynamic longitudinal cortex development in infants by reconstruction of temporally consistent cortical surfaces.
NeuroImage, 2014
Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants.
Medical Image Anal., 2014
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014
Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2014
Estimating Anatomically-Correct Reference Model for Craniomaxillofacial Deformity via Sparse Representation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
In Vivo MRI Based Prostate Cancer Identification with Random Forests and Auto-context Model.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
2013
Neuroinformatics, 2013
Automatic hippocampus segmentation of 7.0 Tesla MR images by combining multiple atlases and auto-context models.
NeuroImage, 2013
Biomed. Signal Process. Control., 2013
Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization.
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
Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Patch-driven neonatal brain MRI segmentation with sparse representation and level sets.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Measuring longitudinally dynamic cortex development in infants by reconstruction of consistent cortical surfaces.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
NeuroImage, 2012
4D Segmentation of Longitudinal Brain MR Images with Consistent Cortical Thickness Measurement.
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
2011
Automatic segmentation of neonatal images using convex optimization and coupled level sets.
NeuroImage, 2011
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011
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.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
2010
Automatic Segmentation of Neonatal Images Using Convex Optimization and Coupled Level Set Method.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
2009
Signal Process., 2009
Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation.
Comput. Medical Imaging Graph., 2009
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009
Proceedings of the Computer Vision, 2009
2008
Brain MR Image Segmentation Using Local and Global Intensity Fitting Active Contours/Surfaces.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008