Gang Li
Orcid: 0000-0001-9585-1382Affiliations:
- University of North Carolina at Chapel Hill, Department of Radiology and BRIC, NC, USA
- Northwestern Polytechnical University, School of Automation, Xi'an, China (former)
According to our database1,
Gang Li
authored at least 182 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
PETS-Nets: Joint Pose Estimation and Tissue Segmentation of Fetal Brains Using Anatomy-Guided Networks.
IEEE Trans. Medical Imaging, March, 2024
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data.
CoRR, 2024
2023
An attention-based context-informed deep framework for infant brain subcortical segmentation.
NeuroImage, April, 2023
Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction.
Pattern Recognit., 2023
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.
CoRR, 2023
Towards Unified Modality Understanding for Alzheimer's Disease Diagnosis Using Incomplete Multi-modality Data.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
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
Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development.
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
Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 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
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
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
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
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
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
Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint.
Medical Image Anal., 2021
Medical Image Anal., 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
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
A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
2020
Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages.
IEEE Trans. Medical Imaging, 2020
Hierarchical Rough-to-Fine Model for Infant Age Prediction Based on Cortical Features.
IEEE J. Biomed. Health Informatics, 2020
Deep morphological simplification network (MS-Net) for guided registration of brain magnetic resonance images.
Pattern Recognit., 2020
A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly.
Medical Image Anal., 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
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 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
Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning.
IEEE Trans. Medical Imaging, 2019
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.
IEEE Trans. Medical Imaging, 2019
NeuroImage, 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
Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data.
NeuroImage, 2019
Medical Image Anal., 2019
Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images.
CoRR, 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
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
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
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
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 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
Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection.
Proceedings of the Predictive Intelligence in Medicine - Second 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
Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces.
Proceedings of the Information Processing in Medical Imaging, 2019
2018
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants.
Medical Image Anal., 2018
Frontiers Neuroinformatics, 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
Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development?
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 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
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
Estimation of shape and growth brain network atlases for connectomic brain mapping in developing infants.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI.
NeuroImage, 2017
Erratum to "Predicting Infant Cortical Surface Development Using a 4D Varifold-based Learning Framework and Local Topography-based Shape Morphing" [Med. Image Anal. 28 (2016)1-12].
Medical Image Anal., 2017
Medical Image Anal., 2017
Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 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
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
Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains.
Proceedings of the Information Processing in Medical Imaging, 2017
2016
Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical Surfaces.
NeuroImage, 2016
Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing.
Medical Image Anal., 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
A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 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
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
Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold Representation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 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
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework.
Proceedings of the Information Processing in Medical Imaging, 2015
2014
NeuroImage, 2014
Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation.
NeuroImage, 2014
Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants.
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
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
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014
2013
Development of cortical anatomical properties from early childhood to early adulthood.
NeuroImage, 2013
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Proceedings of the Medical Imaging 2013: Image Processing, 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
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
2012
NeuroImage, 2012
Improving segmentation of 3D touching cell nuclei using flow tracking on surface meshes.
Int. J. Comput. Biol. Drug Des., 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 Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012
Proceedings of the Mesh Processing in Medical Image Analysis 2012, 2012
2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Medical Image Anal., 2010
Proceedings of the Medical Imaging 2010: Image Processing, 2010
Proceedings of the Medical Imaging 2010: Image Processing, 2010
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Joint analysis of cortical folding pattern, thickness and fiber density using structural and DTI data.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Cortical surface based identification of brain networks using high spatial resolution resting state FMRI data.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
Automatic cortical sulcal parcellation based on surface principal direction flow field tracking.
NeuroImage, 2009
Comput. Medical Imaging Graph., 2009
Deformation invariant attribute vector for deformable registration of longitudinal brain MR images.
Comput. Medical Imaging Graph., 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009
2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
2007
Comput. Medical Imaging Graph., 2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
2006
Deformation invariant attribute vector for 3D image registration: method and validation.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006