Gang Li

发表

Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint

Gang Li, Islem Rekik, Dinggang Shen, 2020, Medical Image Anal..

Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis

Dinggang Shen, Han Zhang, Xiaohuan Cao, 2018, MICCAI.

Mapping region-specific longitudinal cortical surface expansion from birth to 2 years of age.

J. Gilmore, Gang Li, Weili Lin, 2013, Cerebral cortex.

Topographical Information-Based High-Order Functional Connectivity and Its Application in Abnormality Detection for Mild Cognitive Impairment.

Gang Li, D. Shen, F. Shi, 2016, Journal of Alzheimer's disease : JAD.

High‐order resting‐state functional connectivity network for MCI classification

Gang Li, D. Shen, Han Zhang, 2016, Human brain mapping.

Structural and Maturational Covariance in Early Childhood Brain Development

J. Gilmore, Gang Li, D. Shen, 2016, Cerebral cortex.

Learning‐based subject‐specific estimation of dynamic maps of cortical morphology at missing time points in longitudinal infant studies

Gang Li, Weili Lin, D. Shen, 2016, Human brain mapping.

Spatial Patterns, Longitudinal Development, and Hemispheric Asymmetries of Cortical Thickness in Infants from Birth to 2 Years of Age

J. Gilmore, Gang Li, Weili Lin, 2015, The Journal of Neuroscience.

Mapping Longitudinal Development of Local Cortical Gyrification in Infants from Birth to 2 Years of Age

J. Gilmore, Gang Li, Weili Lin, 2014, The Journal of Neuroscience.

Dynamic Development of Regional Cortical Thickness and Surface Area in Early Childhood.

J. Gilmore, R. Hamer, Gang Li, 2015, Cerebral cortex.

Mapping longitudinal hemispheric structural asymmetries of the human cerebral cortex from birth to 2 years of age.

Dinggang Shen, Li Wang, Feng Shi, 2014, Cerebral cortex.

Developmental topography of cortical thickness during infancy

Dinggang Shen, Chunfeng Lian, Weili Lin, 2019, Proceedings of the National Academy of Sciences.

Individual identification and individual variability analysis based on cortical folding features in developing infant singletons and twins

J. Gilmore, Gang Li, Weili Lin, 2020, Human brain mapping.

A computational growth model for measuring dynamic cortical development in the first year of life.

Dinggang Shen, Li Wang, Weili Lin, 2012, Cerebral cortex.

Cortical thickness and surface area in neonates at high risk for schizophrenia

Dinggang Shen, John H. Gilmore, Hongtu Zhu, 2014, Brain Structure and Function.

Genetic influences on neonatal cortical thickness and surface area

Dinggang Shen, Hongtu Zhu, Li Wang, 2018, Human brain mapping.

Title Knowledge-Guided Robust MRI Brain Extraction for Diverse Large-Scale Neuroimaging Studies on Humans and Non-Human Primates

Gang Li, D. Shen, F. Shi, 2014 .

Early-Life Nutrition and Cognitive Development: Imaging Approaches.

Gang Li, Weili Lin, D. Shen, 2019, Nestle Nutrition Institute workshop series.

Reduced cortical thickness and increased surface area in antisocial personality disorder

D. Hu, Seong-Whan Lee, Tao Wang, 2016, Neuroscience.

Folding drives cortical thickness variations

Maria A. Holland, Gang Li, D. Shen, 2020, The European Physical Journal Special Topics.

Spatiotemporal Analysis of Developing Brain Networks

Dinggang Shen, Han Zhang, Xiaohua Xu, 2018, Front. Neuroinform..

Surface Vulnerability of Cerebral Cortex to Major Depressive Disorder

Dinggang Shen, Jun Liu, Feng Shi, 2015, PloS one.

Correction: Surface Vulnerability of Cerebral Cortex to Major Depressive Disorder

Gang Li, D. Shen, F. Shi, 2015, PloS one.

Mapping hemispheric asymmetries of the macaque cerebral cortex during early brain development

Dinggang Shen, Caiming Zhang, Li Wang, 2019, Human brain mapping.

Discovering cortical sulcal folding patterns in neonates using large‐scale dataset

J. Gilmore, Gang Li, Weili Lin, 2018, Human brain mapping.

Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants

Dinggang Shen, John H. Gilmore, Yu Meng, 2014, NeuroImage.

Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization

Dinggang Shen, Lei Du, Jinglei Lv, 2020, MLMI@MICCAI.

Environmental Influences on Infant Cortical Thickness and Surface Area

Dinggang Shen, Hongtu Zhu, Li Wang, 2019, Cerebral cortex.

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]

Dinggang Shen, Islem Rekik, Weili Lin, 2017, Medical Image Anal..

Deep fiducial inference

Jan Hannig, Gang Li, Gang Li, 2020, Stat.

The maturation and cognitive relevance of structural brain network organization from early infancy to childhood

Weili Lin, Zhengwang Wu, Margaret A. Sheridan, 2021, NeuroImage.

Cortical Structure and Cognition in Infants and Toddlers.

Dinggang Shen, Li Wang, Rebecca C. Knickmeyer, 2019, Cerebral cortex.

Construction of 4D infant cortical surface atlases with sharp folding patterns via spherical patch‐based group‐wise sparse representation

Dinggang Shen, Weili Lin, Zhengwang Wu, 2019, Human brain mapping.

Knowledge-Guided Robust MRI Brain Extraction for Diverse Large-Scale Neuroimaging Studies on Humans and Non-Human Primates

Dinggang Shen, Feng Shi, Pew-Thian Yap, 2014, PloS one.

Construction of spatiotemporal infant cortical surface atlas of rhesus macaque

Dinggang Shen, Fan Wang, Li Wang, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Segmentation of neonatal brain MR images using patch-driven level sets

Yaozong Gao, Dinggang Shen, John H. Gilmore, 2014, NeuroImage.

Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains

Dinggang Shen, Islem Rekik, Weili Lin, 2017, IPMI.

Volumetric Analysis of Amygdala and Hippocampal Subfields for Infants with Autism

Gang Li, Di Wu, Li Wang, 2022, Journal of Autism and Developmental Disorders.

Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data

Dinggang Shen, Yu Meng, Ehsan Adeli, 2019, NeuroImage.

Construction of Spatiotemporal Infant Cortical Surface Functional Templates

Ying Huang, Dinggang Shen, Zhengwang Wu, 2020, MICCAI.

Machine Learning and Deep Learning in Genetics and Genomics

Gang Li, Yun Li, Hunyong Cho, 2021, Machine Learning in Dentistry.

Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study

Dinggang Shen, John H. Gilmore, Yu Meng, 2015, MICCAI.

A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly

Gang Li, Islem Rekik, Gemma Piella, 2020, Medical Image Anal..

Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications

Dinggang Shen, Zhengwang Wu, Yu Meng, 2019, NeuroImage.

Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants

Dinggang Shen, John H. Gilmore, Yu Meng, 2014, NeuroImage.

Automated bone segmentation from dental CBCT images using patch-based sparse representation and convex optimization.

Shu Liao, Yaozong Gao, Dinggang Shen, 2014, Medical physics.

Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction

Zhengwang Wu, Weiyan Yin, Li Wang, 2021, MICCAI.

First-year development of modules and hubs in infant brain functional networks

Dinggang Shen, Jun Zhang, Han Zhang, 2019, NeuroImage.

LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images

Yaozong Gao, Dinggang Shen, John H. Gilmore, 2014, NeuroImage.

Generation of Infant-dedicated Fine-grained Functional Parcellation Maps of Cerebral Cortex

Gang Li, Weili Lin, Han Zhang, 2021, bioRxiv.

Surface-constrained volumetric registration for the early developing brain

Dinggang Shen, Gang Li, Li Wang, 2019, Medical Image Anal..

Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network

Daoqiang Zhang, Liang Sun, Chunfeng Lian, 2019, NeuroImage.

Computational neuroanatomy of baby brains: A review

Dinggang Shen, Yu Meng, Li Wang, 2019, NeuroImage.

A computational method for longitudinal mapping of orientation‐specific expansion of cortical surface in infants

Dinggang Shen, Li Wang, Caiming Zhang, 2018, Medical Image Anal..

Anatomy‐guided joint tissue segmentation and topological correction for 6‐month infant brain MRI with risk of autism

Dinggang Shen, Ehsan Adeli, Li Wang, 2018, Human brain mapping.

Can we predict subject‐specific dynamic cortical thickness maps during infancy from birth?

Yaozong Gao, Dinggang Shen, Islem Rekik, 2017, Human brain mapping.

Measuring the dynamic longitudinal cortex development in infants by reconstruction of temporally consistent cortical surfaces

Dinggang Shen, John H. Gilmore, Li Wang, 2014, NeuroImage.

The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development

Dinggang Shen, John H. Gilmore, Essa Yacoub, 2019, NeuroImage.

Neonatal atlas construction using sparse representation

Dinggang Shen, Guorong Wu, Li Wang, 2014, Human brain mapping.

Multifaceted atlases of the human brain in its infancy

Gang Li, P. Yap, Zhengwang Wu, 2022, bioRxiv.

Charting Development-Based Joint Parcellation Maps Of Human and Macaque Brains During Infancy

Dinggang Shen, Caiming Zhang, Weili Lin, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages

Dan Hu, Li Wang, Han Zhang, 2020, IEEE Transactions on Medical Imaging.

Machine learning in orthodontics: Introducing a 3D auto-segmentation and auto-landmark finder of CBCT images to assess maxillary constriction in unilateral impacted canine patients.

Gang Li, Yan-Ting Lee, Li Wang, 2020, The Angle orthodontist.

Automated segmentation of dental CBCT image with prior-guided sequential random forests.

Yaozong Gao, Dinggang Shen, Li Wang, 2015, Medical physics.

Harmonization of Infant Cortical Thickness Using Surface-to-Surface Cycle-Consistent Adversarial Networks

Li Wang, Shunren Xia, Dinggang Shen, 2019, MICCAI.

Automatic brain extraction from 3D fetal MR image with deep learning-based multi-step framework

He Zhang, Zhenghan Fang, Li Wang, 2020, Comput. Medical Imaging Graph..

Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores

Gang Li, Weili Lin, Xiangmin Xu, 2022, IEEE Transactions on Medical Imaging.

Cortical asymmetries in unaffected siblings of patients with obsessive–compulsive disorder

Gang Li, D. Shen, F. Shi, 2015, Psychiatry Research: Neuroimaging.

Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants

Dinggang Shen, Li Wang, Feng Shi, 2014, Medical Image Anal..

Longitudinal development of cortical thickness, folding, and fiber density networks in the first 2 years of life

Dinggang Shen, Li Wang, Feng Shi, 2014, Human brain mapping.

Development of Cortical Anatomical Properties from Early Childhood to Early Adulthood

Dinggang Shen, Gang Li, Jingxin Nie, 2022 .

Measuring longitudinally dynamic cortex development in infants by reconstruction of consistent cortical surfaces

Dinggang Shen, John H. Gilmore, Li Wang, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Consistent reconstruction of cortical surfaces from longitudinal brain MR images

Dinggang Shen, Yaping Wang, Guorong Wu, 2012, NeuroImage.

Consistent Reconstruction of Cortical Surfaces from Longitudinal Brain MR Images

Dinggang Shen, Gang Li, Jingxin Nie, 2011, MICCAI.

A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint pdf

Dinggang Shen, Islem Rekik, Mohamed Ali Mahjoub, 2021, PRIME@MICCAI.

Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction

Zhengwang Wu, Lufan Liao, John Gilmore, 2021, MLMI@MICCAI.

Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection

Islem Rekik, Dinggang Shen, Weili Lin, 2019, PRIME@MICCAI.

Spherical U-Net on Cortical Surfaces: Methods and Applications

Dinggang Shen, John H. Gilmore, Gang Li, 2019, IPMI.

Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI

Dinggang Shen, Islem Rekik, Pew-Thian Yap, 2017, NeuroImage.

Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing

Dinggang Shen, Islem Rekik, Weili Lin, 2016, Medical Image Anal..

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

Dinggang Shen, Guorong Wu, Islem Rekik, 2015, Patch-MI@MICCAI.

Construction of 4D high-definition cortical surface atlases of infants: Methods and applications

Dinggang Shen, John H. Gilmore, Li Wang, 2015, Medical Image Anal..

Spatiotemporal patterns of cortical fiber density in developing infants, and their relationship with cortical thickness

Dinggang Shen, Weili Lin, John H Gilmore, 2015, Human brain mapping.

Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation

Yaozong Gao, Dinggang Shen, John H. Gilmore, 2014, NeuroImage.

Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age

Gang Li, Li Wang, Zhengwang Wu, 2021, NeuroImage.

S3Reg: Superfast Spherical Surface Registration Based on Deep Learning

Dinggang Shen, Shunren Xia, Weili Lin, 2021, IEEE Transactions on Medical Imaging.

Multi-scale Self-supervised Learning for Multi-site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts

Sijie Niu, Li Wang, Gang Li, 2021, MLMI@MICCAI.

Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis

Dinggang Shen, Xi Yang, Xiaobo Chen, 2016, MLMI@MICCAI.

4D Segmentation of Brain MR Images with Constrained Cortical Thickness Variation

Dinggang Shen, Feng Shi, Gang Li, 2013, PloS one.

Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization

Shu Liao, Yaozong Gao, Dinggang Shen, 2013, MICCAI.

Estimation of shape and growth brain network atlases for connectomic brain mapping in developing infants

Dinggang Shen, Islem Rekik, Weili Lin, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Infant brain development prediction with latent partial multi-view representation learning

Dinggang Shen, Weili Lin, Changqing Zhang, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Multiple Atlases-Based Joint Labeling of Human Cortical Sulcal Curves

Dinggang Shen, Ilwoo Lyu, Gang Li, 2012, MCV.

Partition Cortical Surfaces into Supervertices: Method and Application

Dinggang Shen, Gang Li, Jingxin Nie, 2012, MeshMed.

Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development?

Dinggang Shen, Islem Rekik, Weili Lin, 2018, MICCAI.

Reduced White Matter Integrity in Antisocial Personality Disorder: A Diffusion Tensor Imaging Study

D. Hu, Seong-Whan Lee, Gang Li, 2017, Scientific Reports.

Cortical Foldingprints for Infant Identification

Dinggang Shen, Weili Lin, Zhengwang Wu, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Genetic Influences on Longitudinal Trajectories of Cortical Thickness and Surface Area during the First 2 Years of Life.

Jessica B. Girault, J. Gilmore, Gang Li, 2021, Cerebral cortex.

Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images

Gang Li, D. Shen, P. Yap, 2021, IEEE Transactions on Medical Imaging.

Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning

Dinggang Shen, Gang Li, Ehsan Adeli, 2019, IEEE Transactions on Medical Imaging.

Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction

Dinggang Shen, Shunren Xia, Weili Lin, 2021, IEEE Transactions on Medical Imaging.

Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning

Xin Zhang, Tao Zhong, Xiangmin Xu, 2020, MICCAI.

Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net

Daoqiang Zhang, Li Wang, Liang Sun, 2018, MLMI@MICCAI.

Learning-Based Topological Correction for Infant Cortical Surfaces

Dinggang Shen, Yu Meng, Li Wang, 2016, MICCAI.

Surface-based analysis of the developing cerebral cortex

Gang Li, D. Shen, Li Wang, 2021, Advances in Magnetic Resonance Technology and Applications.

Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision

Toan Duc Bui, Liang Sun, Dinggang Shen, 2019, MLMI@MICCAI.

Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction

Dan Hu, Dinggang Shen, Zhengwang Wu, 2019, MICCAI.

Multi-Branch Deformable Convolutional Neural Network with Label Distribution Learning for Fetal Brain Age Prediction

Gang Li, Li Wang, He Zhang, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Automatic parcellation of cortical surfaces using random forests

Yaozong Gao, Dinggang Shen, Yu Meng, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain

Pew-Thian Yap, Dinggang Shen, Zhengwang Wu, 2019, MICCAI.

Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains

Yaozong Gao, Dinggang Shen, John H. Gilmore, 2015, MCV@MICCAI.

A Computational Growth Model for Measuring Dynamic Cortical Development in the First Year of Life

J. Gilmore, Gang Li, D. Shen, 2012 .

Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface

Dinggang Shen, Li Wang, Weili Lin, 2017, MICCAI.

Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration

Qian Wang, Xiaohuan Cao, Dinggang Shen, 2019, MLMI@MICCAI.

DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques

Tao Zhong, Gang Li, Fenqiang Zhao, 2020, NeuroImage.

Consistent sulcal parcellation of longitudinal cortical surfaces

Dinggang Shen, Gang Li, Gang Li, 2011, NeuroImage.

Siamese Verification Framework for Autism Identification During Infancy Using Cortical Path Signature Features

Gang Li, Li Wang, Jing Xia, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling

Gang Li, D. Shen, P. Yap, 2021, Pattern Recognit..

Mapping Region-Specific Longitudinal Cortical Surface Expansion from Birth to 2 Years of Age

J. Gilmore, Gang Li, D. Shen, 2013 .

ABCnet: Adversarial bias correction network for infant brain MR images

Dinggang Shen, Zhengwang Wu, Fan Wang, 2021, Medical Image Anal..

Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network

Tao Zhong, Zhengwang Wu, Yuchen Pei, 2021, MICCAI.

Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases Based on Deep Learning

Zhengwang Wu, Yuchen Pei, Li Wang, 2021, International Conference on Medical Image Computing and Computer-Assisted Intervention.

Mapping Longitudinal Hemispheric Structural Asymmetries of the Human Cerebral Cortex From Birth to 2 Years of Age

J. Gilmore, Gang Li, D. Shen, 2014 .

Gyral net: A new representation of cortical folding organization

Dinggang Shen, Yujie Li, Tianming Liu, 2017, Medical Image Anal..

Fine-grained functional parcellation maps of the infant cerebral cortex

Jessica B. Girault, Gang Li, Han Zhang, 2023, eLife.

Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting

Dan Hu, Dinggang Shen, Zhengwang Wu, 2020, MICCAI.

Fetal cortical surface atlas parcellation based on growth patterns

Dinggang Shen, Caiming Zhang, Gemma Piella, 2019, Human brain mapping.

Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity

Dazhe Zhao, Dinggang Shen, Yu Meng, 2017, MLMI@MICCAI.

Parcellation of Infant Surface Atlas Using Developmental Trajectories of Multidimensional Cortical Attributes

Dinggang Shen, John H. Gilmore, Li Wang, 2015, MICCAI.

Longitudinal Parcellation of the Infant Cortex Using Multi-modal Connectome Harmonics

Zhengwang Wu, Khoi Minh Huynh, Sahar Ahmad, 2021, Computational Diffusion MRI.

A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation

Dan Hu, Li Wang, Liangjun Chen, 2020, MICCAI.

Development of cortical anatomical properties from early childhood to early adulthood

Gang Li, D. Shen, Jingxin Nie, 2013, NeuroImage.

Consistent sulcal parcellation of longitudinal cortical surfaces

Gang Li, D. Shen, Yang Li, 2011, NeuroImage.

Spatial Patterns, Longitudinal Development, and Hemispheric Asymmetries of Cortical Thickness in Infants from Birth to 2 Years of Age

J. Gilmore, Gang Li, Weili Lin, 2015, The Journal of Neuroscience.

Cortical thickness and surface area in neonates at high risk for schizophrenia

J. Gilmore, Gang Li, Weili Lin, 2014, Brain Structure and Function.

Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance

Toan Duc Bui, Dinggang Shen, Li Wang, 2019, DART/MIL3ID@MICCAI.

Self-supervised learning with application for infant cerebellum segmentation and analysis

Gang Li, Mingxia Liu, W. Lin, 2023, Nature communications.

Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis

Han Zhang, Gang Li, Weili Lin, 2018, MICCAI.

Construction of 4D high-definition cortical surface atlases of infants: Methods and applications

J. Gilmore, Gang Li, Weili Lin, 2015, Medical Image Anal..

Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding

Oualid M. Benkarim, Dinggang Shen, Islem Rekik, 2018, MICCAI.

Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains

Li Wang, Tao Zhong, Yu Zhang, 2020, MICCAI.

Detection and analysis of T2DM biomarkers from brain MR images using BrainLab

Dinggang Shen, Lin Ma, Bo Peng, 2014, 2014 7th International Conference on Biomedical Engineering and Informatics.

Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks

Shunren Xia, Zhengwang Wu, Li Wang, 2021, International Conference on Medical Image Computing and Computer-Assisted Intervention.

Unsupervised Learning for Spherical Surface Registration

Shunren Xia, Dinggang Shen, Zhengwang Wu, 2020, MLMI@MICCAI.

Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex

Dinggang Shen, Li Wang, Feng Shi, 2014, MICCAI.

Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images pdf

Dinggang Shen, Qian Wang, Xiaohuan Cao, 2019, Pattern Recognit..

Mapping longitudinal hemispheric structural asymmetries of the human cerebral cortex from birth to 2 years of age.

Gang Li, Li Wang, Jingxin Nie, 2014, Cerebral cortex.

Harmonized neonatal brain MR image segmentation model for cross-site datasets

Li Wang, Jian Chen, Gang Li, 2021, Biomed. Signal Process. Control..

4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation

Gang Li, Weili Lin, D. Shen, 2017, MICCAI.

Patch-driven neonatal brain MRI segmentation with sparse representation and level sets

Dinggang Shen, John H. Gilmore, Li Wang, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Mapping the evolution of regional brain network efficiency and its association with cognitive abilities during the first twenty-eight months of life

Han Zhang, J. Gilmore, K. Uğurbil, 2023, Developmental Cognitive Neuroscience.

Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features

Xin Zhang, Xiangmin Xu, Dinggang Shen, 2020, MICCAI.