Deformation invariant attribute vector for 3D image registration: method and validation. - Gang Li 001; Tianming Liu 001; Geoffrey S. Young; Lei Guo 002; Stephen T. C. Wong (ISBI, 2006)

Segmentation of Touching Cells Using Gradient Flow Tracking. - Gang Li 001; Tianming Liu 001; Jingxin Nie; Lei Guo 002; Stephen T. C. Wong (ISBI, 2007)

Least-square conformal brain mapping with spring energy. - Jingxin Nie; Tianming Liu 001; Gang Li 001; Geoffrey S. Young; Ashley Tarokh; Lei Guo 002; Stephen T. C. Wong (Comput. Medical Imaging Graph., 2007)

A Novel Method for Cortical Sulcal Fundi Extraction. - Gang Li 001; Tianming Liu 001; Jingxin Nie; Lei Guo 002; Stephen T. C. Wong (MICCAI (1), 2008)

ZFIQ: a software package for zebrafish biology. - Tianming Liu 001; Jingxin Nie; Gang Li 001; Lei Guo 002; Stephen T. C. Wong (Bioinform., 2008)

An Automated Method for Cell Detection in Zebrafish. - Tianming Liu 001; Gang Li 001; Jingxin Nie; Ashley Tarokh; Xiaobo Zhou 001; Lei Guo 002; Jarema Malicki; Weiming Xia; Stephen T. C. Wong (Neuroinformatics, 2008)

Grouping of Brain MR Images via Affinity Propagation. - Gang Li 001; Lei Guo 002; Tianming Liu 001 (ISCAS, 2009)

Gyral Folding Pattern Analysis via Surface Profiling. - Kaiming Li; Lei Guo 002; Gang Li 001; Jingxin Nie; Carlos Faraco; Qun Zhao; L. Stephen Miller; Tianming Liu 001 (MICCAI (1), 2009)

A Computational Model of Cerebral Cortex Folding. - Jingxin Nie; Gang Li 001; Lei Guo 002; Tianming Liu 001 (MICCAI (1), 2009)

Parametric Representation of Cortical Surface Folding Based on Polynomials. - Tuo Zhang; Lei Guo 002; Gang Li 001; Jingxin Nie; Tianming Liu 001 (MICCAI (1), 2009)

Deformation invariant attribute vector for deformable registration of longitudinal brain MR images. - Gang Li 001; Lei Guo 002; Tianming Liu 001 (Comput. Medical Imaging Graph., 2009)

Review of methods for functional brain connectivity detection using fMRI. - Kaiming Li; Lei Guo 002; Jingxin Nie; Gang Li 001; Tianming Liu 001 (Comput. Medical Imaging Graph., 2009)

Automatic cortical sulcal parcellation based on surface principal direction flow field tracking. - Gang Li 001; Lei Guo 002; Jingxin Nie; Tianming Liu 001 (NeuroImage, 2009)

Direction field diffusion on cortical surface via graph cuts. - Gang Li 001; Lei Guo 002; Jingxin Nie; Kaiming Li; Tianming Liu 001 (CVPR Workshops, 2010)

Joint analysis of fiber shape and cortical folding patterns. - Xintao Hu; Lei Guo 002; Tuo Zhang; Gang Li 001; Jingxin Nie; Xi Jiang 001; Degang Zhang; Tianming Liu 001 (ISBI, 2010)

Cortical surface based identification of brain networks using high spatial resolution resting state FMRI data. - Kaiming Li; Lei Guo 002; Gang Li 001; Jingxin Nie; Carlos Faraco; Qun Zhao; L. Stephen Miller; Tianming Liu 001 (ISBI, 2010)

Joint analysis of cortical folding pattern, thickness and fiber density using structural and DTI data. - Yixuan Yuan; Lei Guo 002; Gang Li 001; Tuo Zhang; Xintao Hu; Tianming Liu 001 (ISBI, 2010)

Automatic cortical surface parcellation based on fiber density information. - Degang Zhang; Lei Guo 002; Gang Li 001; Jingxin Nie; Fan Deng 001; Kaiming Li; Xintao Hu; Tuo Zhang; Xi Jiang 001; Dajiang Zhu; Qun Zhao; Tianming Liu 001 (ISBI, 2010)

Cortical Sulcal Bank Segmentation via Geometric Similarity Based Graph Partition. - Gang Li 001; Lei Guo 002; Tuo Zhang; Jingxin Nie; Tianming Liu 001 (MIAR, 2010)

Automatic Cortical Gyral Parcellation Using Probabilistic Atlas and Graph Cuts. - Gang Li 001; Lei Guo 002; Tuo Zhang; Jingxin Nie; Tianming Liu 001 (MIAR, 2010)

Optimal combination of multiple cortical surface parcellations. - Xintao Hu; Lei Guo 002; Gang Li 001; Kaiming Li; Tianming Liu 001 (Image Processing, 2010)

Gyral parcellation of cortical surfaces via coupled flow field tracking. - Gang Li 001; Lei Guo 002; Kaiming Li; Jingxin Nie; Tianming Liu 001 (Image Processing, 2010)

An automated pipeline for cortical sulcal fundi extraction. - Gang Li 001; Lei Guo 002; Jingxin Nie; Tianming Liu 001 (Medical Image Anal., 2010)

Gyral folding pattern analysis via surface profiling. - Kaiming Li; Lei Guo 002; Gang Li 001; Jingxin Nie; Carlos Faraco; Guangbin Cui; Qun Zhao; L. Stephen Miller; Tianming Liu 001 (NeuroImage, 2010)

Consistent sulcal parcellation of longitudinal cortical surfaces. - Gang Li 001; Yang Li 010; Yaping Wang; Dinggang Shen (ISBI, 2011)

Consistent Reconstruction of Cortical Surfaces from Longitudinal Brain MR Images. - Gang Li 001; Jingxin Nie; Dinggang Shen (MICCAI (2), 2011)

Consistent sulcal parcellation of longitudinal cortical surfaces. - Gang Li 001; Dinggang Shen (NeuroImage, 2011)

Partition Cortical Surfaces into Supervertices: Method and Application. - Gang Li 001; Jingxin Nie; Dinggang Shen (MeshMed, 2012)

Multiple Atlases-Based Joint Labeling of Human Cortical Sulcal Curves. - Ilwoo Lyu; Gang Li 001; Minjeong Kim; Dinggang Shen (MCV, 2012)

4D Segmentation of Longitudinal Brain MR Images with Consistent Cortical Thickness Measurement. - Li Wang 026; Feng Shi 001; Gang Li 001; Dinggang Shen (STIA, 2012)

Improving segmentation of 3D touching cell nuclei using flow tracking on surface meshes. - Gang Li 001; Lei Guo 002 (Int. J. Comput. Biol. Drug Des., 2012)

Consistent reconstruction of cortical surfaces from longitudinal brain MR images. - Gang Li 001; Jingxin Nie; Guorong Wu 001; Yaping Wang; Dinggang Shen (NeuroImage, 2012)

Measuring longitudinally dynamic cortex development in infants by reconstruction of consistent cortical surfaces. - Gang Li 001; Jingxin Nie; Li Wang 026; Feng Shi 001; John H. Gilmore; Weili Lin; Dinggang Shen (ISBI, 2013)

Patch-driven neonatal brain MRI segmentation with sparse representation and level sets. - Li Wang 026; Feng Shi 001; Gang Li 001; Weili Lin; John H. Gilmore; Dinggang Shen (ISBI, 2013)

Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants. - Gang Li 001; Li Wang 026; Feng Shi 001; Weili Lin; Dinggang Shen (MICCAI (1), 2013)

Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization. - Li Wang 026; Ken-Chung Chen; Feng Shi 001; Shu Liao; Gang Li 001; Yaozong Gao; Steve G. Shen; Jin Yan; Philip K. M. Lee; Ben Chow; Nancy X. Liu; James J. Xia; et al. (MICCAI (3), 2013)

Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation. - Li Wang 026; Feng Shi 001; Gang Li 001; Weili Lin; John H. Gilmore; Dinggang Shen (MICCAI (1), 2013)

Mapping longitudinal cerebral cortex development using diffusion tensor imaging. - Yaping Wang; Gang Li 001; Mihye Ahn; Jingxin Nie; Hongtu Zhu; Lei Guo 002 (Image Processing, 2013)

Consistent 4D brain extraction of serial brain MR images. - Yaping Wang; Gang Li 001; Jingxin Nie; Pew-Thian Yap; Lei Guo 002; Dinggang Shen (Image Processing, 2013)

Development of cortical anatomical properties from early childhood to early adulthood. - Jingxin Nie; Gang Li 001; Dinggang Shen (NeuroImage, 2013)

Detection and analysis of T2DM biomarkers from brain MR images using BrainLab. - Bo Peng 008; Gang Li 001; Zhiye Chen; Bin Lv; Dinggang Shen; Lin Ma; Yakang Dai (BMEI, 2014)

Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex. - Gang Li 001; Li Wang 026; Feng Shi 001; Weili Lin; Dinggang Shen (MICCAI (3), 2014)

Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants. - Gang Li 001; Li Wang 026; Feng Shi 001; Weili Lin; Dinggang Shen (Medical Image Anal., 2014)

Measuring the dynamic longitudinal cortex development in infants by reconstruction of temporally consistent cortical surfaces. - Gang Li 001; Jingxin Nie; Li Wang 026; Feng Shi 001; John H. Gilmore; Weili Lin; Dinggang Shen (NeuroImage, 2014)

Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants. - Yu Meng 003; Gang Li 001; Weili Lin; John H. Gilmore; Dinggang Shen (NeuroImage, 2014)

Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation. - Li Wang 026; Feng Shi 001; Yaozong Gao; Gang Li 001; John H. Gilmore; Weili Lin; Dinggang Shen (NeuroImage, 2014)

Segmentation of neonatal brain MR images using patch-driven level sets. - Li Wang 026; Feng Shi 001; Gang Li 001; Yaozong Gao; Weili Lin; John H. Gilmore; Dinggang Shen (NeuroImage, 2014)

Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework. - Islem Rekik; Gang Li 001; Weili Lin; Dinggang Shen (IPMI, 2015)

Automatic parcellation of cortical surfaces using random forests. - Yu Meng 003; Gang Li 001; Yaozong Gao; Dinggang Shen (ISBI, 2015)

Automated Segmentation of CBCT Image with Prior-Guided Sequential Random Forest. - Li Wang 026; Yaozong Gao; Feng Shi 001; Gang Li 001; Ken-Chung Chen; Zhen Tang; James J. Xia; Dinggang Shen (MCV@MICCAI, 2015)

Parcellation of Infant Surface Atlas Using Developmental Trajectories of Multidimensional Cortical Attributes. - Gang Li 001; Li Wang 026; John H. Gilmore; Weili Lin; Dinggang Shen (MICCAI (3), 2015)

Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains. - Yu Meng 003; Gang Li 001; Yaozong Gao; John H. Gilmore; Weili Lin; Dinggang Shen (MCV@MICCAI, 2015)

Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study. - Yu Meng 003; Gang Li 001; Weili Lin; John H. Gilmore; Dinggang Shen (MICCAI (3), 2015)

Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold Representation. - Islem Rekik; Gang Li 001; Weili Lin; Dinggang Shen (MICCAI (2), 2015)

Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework. - Islem Rekik; Gang Li 001; Guorong Wu 001; Weili Lin; Dinggang Shen (Patch-MI@MICCAI, 2015)

Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis. - Li Wang 026; Feng Shi 001; Yaozong Gao; Gang Li 001; Weili Lin; Dinggang Shen (Patch-MI@MICCAI, 2015)

Construction of 4D high-definition cortical surface atlases of infants: Methods and applications. - Gang Li 001; Li Wang 026; Feng Shi 001; John H. Gilmore; Weili Lin; Dinggang Shen (Medical Image Anal., 2015)

LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images. - Li Wang 026; Yaozong Gao; Feng Shi 001; Gang Li 001; John H. Gilmore; Weili Lin; Dinggang Shen (NeuroImage, 2015)

Learning-Based Topological Correction for Infant Cortical Surfaces. - Shijie Hao; Gang Li 001; Li Wang 026; Yu Meng 003; Dinggang Shen (MICCAI (1), 2016)

Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces Using Large-Scale Dataset. - Yu Meng 003; Gang Li 001; Li Wang 026; Weili Lin; John H. Gilmore; Dinggang Shen (MICCAI (1), 2016)

A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data. - Islem Rekik; Gang Li 001; Pew-Thian Yap; Geng Chen 001; Weili Lin; Dinggang Shen (MICCAI (1), 2016)

LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images. - Li Wang 026; Yaozong Gao; Gang Li 001; Feng Shi 001; Weili Lin; Dinggang Shen (MCV/BAMBI@MICCAI, 2016)

Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis. - Xi Yang; Yan Jin 001; Xiaobo Chen 001; Han Zhang 002; Gang Li 001; Dinggang Shen (MLMI@MICCAI, 2016)

Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing. - Islem Rekik; Gang Li 001; Weili Lin; Dinggang Shen (Medical Image Anal., 2016)

Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical Surfaces. - Islem Rekik; Gang Li 001; Weili Lin; Dinggang Shen (NeuroImage, 2016)

Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains. - Islem Rekik; Gang Li 001; Weili Lin; Dinggang Shen (IPMI, 2017)

Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets. - Dingna Duan; Islem Rekik; Shunren Xia; Weili Lin; John H. Gilmore; Dinggang Shen; Gang Li 001 (ISBI, 2017)

Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data. - Ehsan Adeli 001; Yu Meng 003; Gang Li 001; Weili Lin; Dinggang Shen (MICCAI (1), 2017)

Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information. - Dingna Duan; Shunren Xia; Yu Meng 003; Li Wang 026; Weili Lin; John H. Gilmore; Dinggang Shen; Gang Li 001 (MICCAI (1), 2017)

Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface. - Gang Li 001; Li Wang 026; Weili Lin; Dinggang Shen (MICCAI (1), 2017)

4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation. - Zhengwang Wu; Gang Li 001; Yu Meng 003; Li Wang 026; Weili Lin; Dinggang Shen (MICCAI (1), 2017)

Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity. - Junyi Yan; Yu Meng 003; Gang Li 001; Weili Lin; Dazhe Zhao; Dinggang Shen (MLMI@MICCAI, 2017)

Gyral net: A new representation of cortical folding organization. - Hanbo Chen; Yujie Li 004; Fangfei Ge; Gang Li 001; Dinggang Shen; Tianming Liu 001 (Medical Image Anal., 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]. - Islem Rekik; Gang Li 001; Weili Lin; Dinggang Shen (Medical Image Anal., 2017)

Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI. - Islem Rekik; Gang Li 001; Pew-Thian Yap; Geng Chen 001; Weili Lin; Dinggang Shen (NeuroImage, 2017)

Estimation of shape and growth brain network atlases for connectomic brain mapping in developing infants. - Islem Rekik; Gang Li 001; Weili Lin; Dinggang Shen (ISBI, 2018)

Construction of spatiotemporal infant cortical surface atlas of rhesus macaque. - Fan Wang 023; Chunfeng Lian; Jing Xia; Zhengwang Wu; Dingna Duan; Li Wang 026; Dinggang Shen; Gang Li 001 (ISBI, 2018)

Construction of spatiotemporal neonatal cortical surface atlases using a large-scale dataset. - Zhengwang Wu; Gang Li 001; Li Wang 026; Weili Lin; John H. Gilmore; Dinggang Shen (ISBI, 2018)

Fetal cortical parcellation based on growth patterns. - Jing Xia; Caiming Zhang 001; Fan Wang 023; Oualid M. Benkarim; Gerard Sanroma; Gemma Piella; Miguel Ángel González Ballester; Nadine Hahner; Elisenda Eixarch; Dinggang Shen; Gang Li 001 (ISBI, 2018)

A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants. - Jing Xia; Caiming Zhang 001; Fan Wang 023; Yu Meng 003; Zhengwang Wu; Li Wang 026; Weili Lin; Dinggang Shen; Gang Li 001 (ISBI, 2018)

Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding. - Oualid M. Benkarim; Gerard Sanroma; Gemma Piella; Islem Rekik; Nadine Hahner; Elisenda Eixarch; Miguel Ángel González Ballester; Dinggang Shen; Gang Li 001 (MICCAI (3), 2018)

Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network. - Jiawei Chen 001; Han Zhang 002; Dong Nie; Li Wang 026; Gang Li 001; Weili Lin; Dinggang Shen (MLMI@MICCAI, 2018)

Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development? - Islem Rekik; Gang Li 001; Weili Lin; Dinggang Shen (MICCAI (3), 2018)

Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net. - Liang Sun 009; Daoqiang Zhang; Li Wang 026; Wei Shao 005; Zengsi Chen; Weili Lin; Dinggang Shen; Gang Li 001 (MLMI@MICCAI, 2018)

Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis. - Li Wang 026; Gang Li 001; Feng Shi 001; Xiaohuan Cao; Chunfeng Lian; Dong Nie; Mingxia Liu 001; Han Zhang 002; Guannan Li; Zhengwang Wu; Weili Lin; Dinggang Shen (MICCAI (3), 2018)

Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks. - Zhengwang Wu; Gang Li 001; Li Wang 026; Feng Shi 001; Weili Lin; John H. Gilmore; Dinggang Shen (MICCAI (3), 2018)

Spatiotemporal Analysis of Developing Brain Networks. - Ping He 001; Xiaohua Xu 001; Han Zhang 002; Gang Li 001; Jingxin Nie; Pew-Thian Yap; Dinggang Shen (Frontiers Neuroinformatics, 2018)

A computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants. - Jing Xia; Fan Wang 023; Yu Meng 003; Zhengwang Wu; Li Wang 026; Weili Lin; Caiming Zhang 001; Dinggang Shen; Gang Li 001 (Medical Image Anal., 2018)

Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces. - Peirong Liu; Zhengwang Wu; Gang Li 001; Pew-Thian Yap; Dinggang Shen (IPMI, 2019)

Spherical U-Net on Cortical Surfaces: Methods and Applications. - Fenqiang Zhao; Shunren Xia; Zhengwang Wu; Dingna Duan; Li Wang 026; Weili Lin; John H. Gilmore; Dinggang Shen; Gang Li 001 (IPMI, 2019)

Construction of 4D Neonatal Cortical Surface Atlases Using Wasserstein Distance. - Zengsi Chen; Zhengwang Wu; Liang Sun 009; Fan Wang 023; Li Wang 026; Fenqiang Zhao; Weili Lin; John H. Gilmore; Dinggang Shen; Gang Li 001 (ISBI, 2019)

Cortical Foldingprints for Infant Identification. - Dingna Duan; Shunren Xia; Zhengwang Wu; Fan Wang 023; Li Wang 026; Weili Lin; John H. Gilmore; Dinggang Shen; Gang Li 001 (ISBI, 2019)

A Preliminary Volumetric MRI Study of Amygdala and Hippocampal Subfields in Autism During Infancy. - Guannan Li; Meng-Hsiang Chen; Gang Li 001; Di Wu; Quan-Sen Sun; Dinggang Shen; Li Wang 026 (ISBI, 2019)

Charting Development-Based Joint Parcellation Maps Of Human and Macaque Brains During Infancy. - Jing Xia; Fan Wang 023; Zhengwang Wu; Li Wang 026; Yaping Wang; Caiming Zhang 001; Weili Lin; Dinggang Shen; Gang Li 001 (ISBI, 2019)

Frnet: Flattened Residual Network for Infant MRI Skull Stripping. - Qian Zhang 066; Li Wang 026; Xiaopeng Zong; Weili Lin; Gang Li 001; Dinggang Shen (ISBI, 2019)

Spherical U-Net For Infant Cortical Surface Parcellation. - Fenqiang Zhao; Shunren Xia; Zhengwang Wu; Li Wang 026; Zengsi Chen; Weili Lin; John H. Gilmore; Dinggang Shen; Gang Li 001 (ISBI, 2019)

Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain. - Sahar Ahmad; Zhengwang Wu; Gang Li 001; Li Wang 026; Weili Lin; Pew-Thian Yap; Dinggang Shen (MICCAI (2), 2019)

Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance. - Toan Duc Bui; Li Wang 026; Jian Chen; Weili Lin; Gang Li 001; Dinggang Shen (DART/MIL3ID@MICCAI, 2019)

CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets. - Jian Chen; Zhenghan Fang; Deqiang Xiao; Duc Toan Bui 001; Kim-Han Thung; Xianjun Li; Jian Yang 009; Weili Lin; Gang Li 001; Dinggang Shen; Li Wang 026 (GLMI@MICCAI, 2019)

Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection. - Olfa Ghribi; Gang Li 001; Weili Lin; Dinggang Shen; Islem Rekik (PRIME@MICCAI, 2019)

Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction. - Dan Hu; Han Zhang 002; Zhengwang Wu; Weili Lin; Gang Li 001; Dinggang Shen (MICCAI (4), 2019)

A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism. - Guannan Li; Meng-Hsiang Chen; Gang Li 001; Di Wu; Chunfeng Lian; Quansen Sun; Dinggang Shen; Li Wang 026 (GLMI@MICCAI, 2019)

Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision. - Jingjiao Lou; Dengwang Li; Toan Duc Bui; Fenqiang Zhao; Liang Sun 009; Gang Li 001; Dinggang Shen (MLMI@MICCAI, 2019)

Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties. - Fan Wang 023; Chunfeng Lian; Zhengwang Wu; Li Wang 026; Weili Lin; John H. Gilmore; Dinggang Shen; Gang Li 001 (MICCAI (2), 2019)

Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration. - Dongming Wei; Sahar Ahmad; Zhengwang Wu; Xiaohuan Cao; Xuhua Ren; Gang Li 001; Dinggang Shen; Qian Wang 001 (MLMI@MICCAI, 2019)

Intrinsic Patch-Based Cortical Anatomical Parcellation Using Graph Convolutional Neural Network on Surface Manifold. - Zhengwang Wu; Fenqiang Zhao; Jing Xia; Li Wang 026; Weili Lin; John H. Gilmore; Gang Li 001; Dinggang Shen (MICCAI (3), 2019)

Harmonization of Infant Cortical Thickness Using Surface-to-Surface Cycle-Consistent Adversarial Networks. - Fenqiang Zhao; Zhengwang Wu; Li Wang 026; Weili Lin; Shunren Xia; Dinggang Shen; Gang Li 001 (MICCAI (4), 2019)

Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images. - Dongming Wei; Zhengwang Wu; Gang Li 001; Xiaohuan Cao; Dinggang Shen; Qian Wang 001 (CoRR, 2019)

Surface-constrained volumetric registration for the early developing brain. - Sahar Ahmad; Zhengwang Wu; Gang Li 001; Li Wang 026; Weili Lin; Pew-Thian Yap; Dinggang Shen (Medical Image Anal., 2019)

Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data. - Ehsan Adeli 001; Yu Meng 003; Gang Li 001; Weili Lin; Dinggang Shen (NeuroImage, 2019)

Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications. - Dingna Duan; Shunren Xia; Islem Rekik; Yu Meng 003; Zhengwang Wu; Li Wang 026; Weili Lin; John H. Gilmore; Dinggang Shen; Gang Li 001 (NeuroImage, 2019)

The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development. - Brittany R. Howell; Martin A. Styner; Wei Gao; Pew-Thian Yap; Li Wang 026; Kristine Baluyot; Essa Yacoub; Geng Chen 001; Taylor Potts; Andrew P. Salzwedel; Gang Li 001; John H. Gilmore; et al. (NeuroImage, 2019)

Computational neuroanatomy of baby brains: A review. - Gang Li 001; Li Wang 026; Pew-Thian Yap; Fan Wang 023; Zhengwang Wu; Yu Meng 003; Pei Dong; Jaeil Kim; Feng Shi 001; Islem Rekik; Weili Lin; Dinggang Shen (NeuroImage, 2019)

Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network. - Liang Sun 009; Daoqiang Zhang; Chunfeng Lian; Li Wang 026; Zhengwang Wu; Wei Shao 005; Weili Lin; Dinggang Shen; Gang Li 001 (NeuroImage, 2019)

First-year development of modules and hubs in infant brain functional networks. - Xuyun Wen; Han Zhang 002; Gang Li 001; Mingxia Liu 001; Weiyan Yin; Weili Lin; Jun Zhang 003; Dinggang Shen (NeuroImage, 2019)

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. - Li Wang 026; Dong Nie; Guannan Li; Élodie Puybareau; Jose Dolz; Qian Zhang 066; Fan Wang 023; Jing Xia; Zhengwang Wu; Jiawei Chen 001; Kim-Han Thung; Toan Duc Bui; et al. (IEEE Trans. Medical Imaging, 2019)

Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning. - Changqing Zhang; Ehsan Adeli 001; Zhengwang Wu; Gang Li 001; Weili Lin; Dinggang Shen (IEEE Trans. Medical Imaging, 2019)

6-Month Infant Brain Mri Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial Networks. - Toan Duc Bui; Li Wang 026; Weili Lin; Gang Li 001; Dinggang Shen (ISBI, 2020)

Multi-Branch Deformable Convolutional Neural Network with Label Distribution Learning for Fetal Brain Age Prediction. - Lufan Liao; Xin Zhang 013; Fenqiang Zhao; Jingjiao Lou; Li Wang 026; Xiangmin Xu; He Zhang; Gang Li 001 (ISBI, 2020)

7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested Network. - Jie Wei; Duc Toan Bui 001; Zhengwang Wu; Li Wang 026; Yong Xia 001; Gang Li 001; Dinggang Shen (ISBI, 2020)

Siamese Verification Framework for Autism Identification During Infancy Using Cortical Path Signature Features. - Xin Zhang 013; Xinyao Ding; Zhengwang Wu; Jing Xia; Hao Ni 001; Xiangmin Xu; Lufan Liao; Li Wang 026; Gang Li 001 (ISBI, 2020)

A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation. - Liangjun Chen; Zhengwang Wu; Dan Hu; Ya Wang; Zhanhao Mo; Li Wang 026; Weili Lin; Dinggang Shen; Gang Li 001 (MICCAI (7), 2020)

Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting. - Dan Hu; Fan Wang 023; Han Zhang 002; Zhengwang Wu; Li Wang 026; Weili Lin; Gang Li 001; Dinggang Shen (MICCAI (7), 2020)

Construction of Spatiotemporal Infant Cortical Surface Functional Templates. - Ying Huang 007; Fan Wang 023; Zhengwang Wu; Zengsi Chen; Han Zhang 002; Li Wang 026; Weili Lin; Dinggang Shen; Gang Li 001 (MICCAI (7), 2020)

Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning. - Lufan Liao; Xin Zhang 013; Fenqiang Zhao; Tao Zhong 002; Yuchen Pei; Xiangmin Xu; Li Wang 026; He Zhang; Dinggang Shen; Gang Li 001 (MICCAI (6), 2020)

Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI. - Yuchen Pei; Li Wang 026; Fenqiang Zhao; Tao Zhong 002; Lufan Liao; Dinggang Shen; Gang Li 001 (MLMI@MICCAI, 2020)

A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. - Mayssa Soussia; Xuyun Wen; Zhen Zhou 004; Bing Jin; Tae-Eui Kam; Li-Ming Hsu; Zhengwang Wu; Gang Li 001; Li Wang 026; Islem Rekik; Weili Lin; Dinggang Shen; et al. (MICCAI (7), 2020)

Semi-supervised Transfer Learning for Infant Cerebellum Tissue Segmentation. - Yue Sun; Kun Gao 002; Sijie Niu; Weili Lin; Gang Li 001; Li Wang 026 (MLMI@MICCAI, 2020)

Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features. - Xin Zhang 013; Jiale Cheng; Hao Ni 001; Chenyang Li 007; Xiangmin Xu; Zhengwang Wu; Li Wang 026; Weili Lin; Dinggang Shen; Gang Li 001 (MICCAI (7), 2020)

Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization. - Songyao Zhang; Lei Du 001; Jinglei Lv; Zhibin He; Xi Jiang 001; Lei Guo 002; Li Wang 026; Tianming Liu 001; Dinggang Shen; Gang Li 001; Tuo Zhang (MLMI@MICCAI, 2020)

Unsupervised Learning for Spherical Surface Registration. - Fenqiang Zhao; Zhengwang Wu; Li Wang 026; Weili Lin; Shunren Xia; Dinggang Shen; Gang Li 001 (MLMI@MICCAI, 2020)

Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains. - Tao Zhong 002; Yu Zhang 064; Fenqiang Zhao; Yuchen Pei; Lufan Liao; Zhenyuan Ning; Li Wang 026; Dinggang Shen; Gang Li 001 (MICCAI (7), 2020)

A Hardware Descriptive Approach to Beetle Antennae Search. - Zongcheng Yue; Gang Li 001; Xiangyuan Jiang; Shuai Li 002; Jian Cheng 001; Peng Ren 001 (IEEE Access, 2020)

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. - Yue Sun; Kun Gao 002; Zhengwang Wu; Zhihao Lei; Ying Wei 007; Jun Ma 016; Xiaoping Yang 001; Xue Feng 001; Li Zhao 001; Trung Le Phan; Jitae Shin; Tao Zhong 002; et al. (CoRR, 2020)

A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly. - Oualid M. Benkarim; Gemma Piella; Islem Rekik; Nadine Hahner; Elisenda Eixarch; Dinggang Shen; Gang Li 001; Miguel Ángel González Ballester; Gerard Sanroma (Medical Image Anal., 2020)

Deep morphological simplification network (MS-Net) for guided registration of brain magnetic resonance images. - Dongming Wei; Lichi Zhang; Zhengwang Wu; Xiaohuan Cao; Gang Li 001; Dinggang Shen; Qian Wang 001 (Pattern Recognit., 2020)

Hierarchical Rough-to-Fine Model for Infant Age Prediction Based on Cortical Features. - Dan Hu; Zhengwang Wu; Weili Lin; Gang Li 001; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2020)

Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages. - Dan Hu; Han Zhang 002; Zhengwang Wu; Fan Wang 023; Li Wang 026; J. Keith Smith; Weili Lin; Gang Li 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint. - Alaa Bessadok; Ahmed Nebli; Mohamed Ali Mahjoub; Gang Li 001; Weili Lin; Dinggang Shen; Islem Rekik (PRIME@MICCAI, 2021)

Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases Based on Deep Learning. - Liangjun Chen; Zhengwang Wu; Dan Hu; Yuchen Pei; Fenqiang Zhao; Yue Sun; Ya Wang; Weili Lin; Li Wang 026; Gang Li 001 (MICCAI (4), 2021)

Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction. - Dan Hu; Weiyan Yin; Zhengwang Wu; Liangjun Chen; Li Wang 026; Weili Lin; Gang Li 001 (MICCAI (3), 2021)

Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction. - Yu Li; Jiale Cheng; Xin Zhang 013; Ruiyan Fang; Lufan Liao; Xinyao Ding; Hao Ni 001; Xiangmin Xu; Zhengwang Wu; Dan Hu; Weili Lin; Li Wang 026; et al. (MLMI@MICCAI, 2021)

Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network. - Yuchen Pei; Liangjun Chen; Fenqiang Zhao; Zhengwang Wu; Tao Zhong 002; Ya Wang; Changan Chen; Li Wang 026; He Zhang; Lisheng Wang; Gang Li 001 (MICCAI (7), 2021)

Multi-scale Self-supervised Learning for Multi-site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts. - Yue Sun; Kun Gao 002; Weili Lin; Gang Li 001; Sijie Niu; Li Wang 026 (MLMI@MICCAI, 2021)

A Deep Network for Joint Registration and Parcellation of Cortical Surfaces. - Fenqiang Zhao; Zhengwang Wu; Li Wang 026; Weili Lin; Shunren Xia; Gang Li 001 (MICCAI (4), 2021)

Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks. - Fenqiang Zhao; Zhengwang Wu; Li Wang 026; Weili Lin; Shunren Xia; Gang Li 001 (MICCAI (2), 2021)

Harmonized neonatal brain MR image segmentation model for cross-site datasets. - Jian Chen; Yue Sun; Zhenghan Fang; Weili Lin; Gang Li 001; Li Wang 026 (Biomed. Signal Process. Control., 2021)

Automatic brain extraction from 3D fetal MR image with deep learning-based multi-step framework. - Jian Chen; Zhenghan Fang; Guofu Zhang; Lei Ling; Gang Li 001; He Zhang; Li Wang 026 (Comput. Medical Imaging Graph., 2021)

ABCnet: Adversarial bias correction network for infant brain MR images. - Liangjun Chen; Zhengwang Wu; Dan Hu; Fan Wang 023; J. Keith Smith; Weili Lin; Li Wang 026; Dinggang Shen; Gang Li 001 (Medical Image Anal., 2021)

Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint. - Olfa Ghribi; Gang Li 001; Weili Lin; Dinggang Shen; Islem Rekik (Medical Image Anal., 2021)

Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment. - Lu Zhang 050; Li Wang 033; Jean Gao; Shannon L. Risacher; Jingwen Yan; Gang Li 001; Tianming Liu 001; Dajiang Zhu (Medical Image Anal., 2021)

The maturation and cognitive relevance of structural brain network organization from early infancy to childhood. - Mackenzie Woodburn; Cheyenne L. Bricken; Zhengwang Wu; Gang Li 001; Li Wang 026; Weili Lin; Margaret A. Sheridan; Jessica R. Cohen (NeuroImage, 2021)

DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques. - Tao Zhong 002; Fenqiang Zhao; Yuchen Pei; Zhenyuan Ning; Lufan Liao; Zhengwang Wu; Yuyu Niu; Li Wang 026; Dinggang Shen; Yu Zhang 064; Gang Li 001 (NeuroImage, 2021)

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. - Yue Sun; Kun Gao 002; Zhengwang Wu; Guannan Li; Xiaopeng Zong; Zhihao Lei; Ying Wei 007; Jun Ma 016; Xiaoping Yang 001; Xue Feng 001; Li Zhao 001; Trung Le Phan; et al. (IEEE Trans. Medical Imaging, 2021)

Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction. - Fenqiang Zhao; Zhengwang Wu; Li Wang 026; Weili Lin; John H. Gilmore; Shunren Xia; Dinggang Shen; Gang Li 001 (IEEE Trans. Medical Imaging, 2021)

S3Reg: Superfast Spherical Surface Registration Based on Deep Learning. - Fenqiang Zhao; Zhengwang Wu; Fan Wang 023; Weili Lin; Shunren Xia; Dinggang Shen; Li Wang 026; Gang Li 001 (IEEE Trans. Medical Imaging, 2021)

Spherical Transformer for Quality Assessment of Pediatric Cortical Surfaces. - Jiale Cheng; Xin Zhang 013; Fenqiang Zhao; Zhengwang Wu; Ya Wang; Ying Huang 007; Weili Lin; Li Wang 026; Gang Li 001 (ISBI, 2022)

Harmonization of Multi-site Cortical Data Across the Human Lifespan. - Sahar Ahmad; Fang Nan; Ye Wu 001; Zhengwang Wu; Weili Lin; Li Wang 026; Gang Li 001; Di Wu; Pew-Thian Yap (MLMI@MICCAI, 2022)

Spherical Transformer on Cortical Surfaces. - Jiale Cheng; Xin Zhang 013; Fenqiang Zhao; Zhengwang Wu; Xinrui Yuan; John H. Gilmore; Li Wang 026; Weili Lin; Gang Li 001 (MLMI@MICCAI, 2022)

Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network. - Xiaowei Yu; Dan Hu; Lu Zhang 050; Ying Huang 007; Zhengwang Wu; Tianming Liu 001; Li Wang 026; Weili Lin; Dajiang Zhu; Gang Li 001 (MICCAI (8), 2022)

Fast Spherical Mapping of Cortical Surface Meshes Using Deep Unsupervised Learning. - Fenqiang Zhao; Zhengwang Wu; Li Wang 026; Weili Lin; Gang Li 001 (MICCAI (6), 2022)

Bootstrapping Joint Entity and Relation Extraction with Reinforcement Learning. - Ming-Xia Liu 001; Xiang Cheng 003; Sen Su; Ming Kuang; Gang Li 001 (WISE, 2022)

A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort. - Liangjun Chen; Zhengwang Wu; Dan Hu; Ya Wang; Fenqiang Zhao; Tao Zhong 002; Weili Lin; Li Wang 026; Gang Li 001 (NeuroImage, 2022)

Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age. - Tao Zhong 002; Jingkuan Wei; Kunhua Wu; Liangjun Chen; Fenqiang Zhao; Yuchen Pei; Ya Wang; Hongjiang Zhang; Zhengwang Wu; Ying Huang 007; Tengfei Li 001; Li Wang 026; et al. (NeuroImage, 2022)

A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling. - Jie Wei; Zhengwang Wu; Li Wang 026; Toan Duc Bui; Liangqiong Qu; Pew-Thian Yap; Yong Xia 001; Gang Li 001; Dinggang Shen (Pattern Recognit., 2022)

Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores. - Jiale Cheng; Xin Zhang 013; Hao Ni 001; Chenyang Li 007; Xiangmin Xu; Zhengwang Wu; Li Wang 026; Weili Lin; Gang Li 001 (IEEE Trans. Medical Imaging, 2022)

Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction. - Yu Li 043; Xin Zhang 013; Jingxin Nie; Guowei Zhang; Ruiyan Fang; Xiangmin Xu; Zhengwang Wu; Dan Hu; Li Wang 026; Han Zhang 002; Weili Lin; Gang Li 001 (IEEE Trans. Medical Imaging, 2022)

Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images. - Dongming Wei; Sahar Ahmad; Yuyu Guo 002; Liyun Chen; Yunzhi Huang; Lei Ma 006; Zhengwang Wu; Gang Li 001; Li Wang 026; Weili Lin; Pew-Thian Yap; Dinggang Shen; et al. (IEEE Trans. Medical Imaging, 2022)

Deformable Spherical Transformer for Cerebellar Surface Parcellation. - Jiale Cheng; Fenqiang Zhao; Zhengwang Wu; Ya Wang; Xinrui Yuan; Yue Sun; Weili Lin; Li Wang 026; Xin Zhang 013; Gang Li 001 (ISBI, 2023)

Geometric Constrained Deep Learning for Motion Correction of Fetal Brain Mr Images. - Laifa Ma; Liangjun Chen; Fenqiang Zhao; Zhengwang Wu; Li Wang 026; Weili Lin; He Zhang; Kenli Li 001; Gang Li 001 (ISBI, 2023)

Prediction of Infant Cognitive Development with Cortical Surface-Based Multimodal Learning. - Jiale Cheng; Xin Zhang 013; Fenqiang Zhao; Zhengwang Wu; Xinrui Yuan; Li Wang 026; Weili Lin; Gang Li 001 (MICCAI (2), 2023)

Path-Based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis. - Ruiyan Fang; Yu Li; Xin Zhang 013; Shengxian Chen; Jiale Cheng; Xiangmin Xu; Jieling Wu; Weili Lin; Li Wang 026; Zhengwang Wu; Gang Li 001 (MICCAI (8), 2023)

Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting. - Michalis Pistos; Gang Li 001; Weili Lin; Dinggang Shen; Islem Rekik (PRIME@MICCAI, 2023)

Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning. - Zhengwang Wu; Jiale Cheng; Fenqiang Zhao; Ya Wang; Yue Sun; Dajiang Zhu; Tianming Liu 001; Valerie Jewells; Weili Lin; Li Wang 026; Gang Li 001 (MICCAI (8), 2023)

Collaborative Modality Generation and Tissue Segmentation for Early-Developing Macaque Brain MR Images. - Xueyang Wu 003; Tao Zhong 002; Shujun Liang; Li Wang 026; Gang Li 001; Yu Zhang 064 (MICCAI (4), 2023)

Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development. - Xinrui Yuan; Jiale Cheng; Fenqiang Zhao; Zhengwang Wu; Li Wang 026; Weili Lin; Yu Zhang 064; Gang Li 001 (MICCAI (9), 2023)

Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization. - Fenqiang Zhao; Zhengwang Wu; Dajiang Zhu; Tianming Liu 001; John H. Gilmore; Weili Lin; Li Wang 026; Gang Li 001 (MICCAI (8), 2023)

Dual-Stream Model with Brain Metrics and Images for MRI-Based Fetal Brain Age Estimation. - Shengxian Chen; Xin Zhang 013; Ruiyan Fang; Wenhao Zhang; He Zhang; Chaoxiang Yang; Gang Li 001 (MLMI@MICCAI (1), 2023)

Towards Unified Modality Understanding for Alzheimer's Disease Diagnosis Using Incomplete Multi-modality Data. - Kangfu Han; Fenqiang Zhao; Dajiang Zhu; Tianming Liu 001; Feng Yang 012; Gang Li 001 (MLMI@MICCAI (2), 2023)

Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task. - Zihao Wu 001; Lu Zhang 050; Chao Cao; Xiaowei Yu; Haixing Dai; Chong Ma; Zhengliang Liu; Lin Zhao 004; Gang Li 001; Wei Liu 146; Quanzheng Li; Dinggang Shen; et al. (CoRR, 2023)

Artificial General Intelligence for Medical Imaging. - Xiang Li 001; Lu Zhang 050; Zihao Wu 001; Zhengliang Liu; Lin Zhao 004; Yixuan Yuan; Jun Liu 075; Gang Li 001; Dajiang Zhu; Pingkuan Yan; Quanzheng Li; Wei Liu 146; et al. (CoRR, 2023)

Early Autism Diagnosis based on Path Signature and Siamese Unsupervised Feature Compressor. - Zhuowen Yin; Xinyao Ding; Xin Zhang 013; Zhengwang Wu; Li Wang 026; Gang Li 001 (CoRR, 2023)

Holistic Evaluation of GPT-4V for Biomedical Imaging. - Zhengliang Liu; Hanqi Jiang; Tianyang Zhong; Zihao Wu 001; Chong Ma; Yiwei Li 002; Xiaowei Yu; Yutong Zhang; Yi Pan 001; Peng Shu; Yanjun Lyu; Lu Zhang 050; et al. (CoRR, 2023)

Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction. - Liang Sun 009; Wei Shao 005; Qi Zhu 001; Meiling Wang 001; Gang Li 001; Daoqiang Zhang (Pattern Recognit., 2023)

An attention-based context-informed deep framework for infant brain subcortical segmentation. - Liangjun Chen; Zhengwang Wu; Fenqiang Zhao; Ya Wang; Weili Lin; Li Wang 026; Gang Li 001 (NeuroImage, 2023)

Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network. - Yunzhi Huang; Sahar Ahmad; Luyi Han; Shuai Wang; Zhengwang Wu; Weili Lin; Gang Li 001; Li Wang 026; Pew-Thian Yap (Pattern Recognit., 2023)

Revealing Fine-grained Genetically Informed Cortical Parcellation Maps of Neonates Based on Multi-view Spectral Clustering. - Ying Huang 007; Zhengwang Wu; Ya Wang; Tengfei Li 001; Xifeng Wang; Hongtu Zhu; Weili Lin; Li Wang 026; Jun Feng; John H. Gilmore; Gang Li 001 (EMBC, 2024)

Neonatal Hypoxic Ischemic Encephalopathy Severity Grading Using Multimodal Swin Transformer. - Thibaud Brochet; Kangfu Han; Jiale Cheng; Fenqiang Zhao; Jérôme Lapuyade-Lahorgue; Su Ruan; Yi-Fang Tu; Sheng-Che Hung; Gang Li 001 (ISBI, 2024)

Diagnosis of Early Mild Cognitive Impairment in Type 2 Diabetes Mellitus by Deep Learning of Multimodal Images and Metadata. - Kangfu Han; Xiaomei Yue; Shijun Qiu; Feng Yang 012; Gang Li 001 (ISBI, 2024)

Automated Fetal Brain Volume Reconstruction from Motion-Corrupted Stacks with Deep Learning. - Laifa Ma; Weili Lin; He Zhang; Gang Li 001 (ISBI, 2024)

Consecutive-Contrastive Spherical U-Net: Enhancing Reliability of Individualized Functional Brain Parcellation for Short-Duration fMRI Scans. - Dan Hu; Kangfu Han; Jiale Cheng; Gang Li 001 (MICCAI (2), 2024)

Development of Effective Connectome from Infancy to Adolescence. - Guoshi Li; Kim-Han Thung; Hoyt Patrick Taylor; Zhengwang Wu; Gang Li 001; Li Wang 026; Weili Lin; Sahar Ahmad; Pew-Thian Yap (MICCAI (3), 2024)

Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation. - Junpeng Tan; Xin Zhang 013; Chunmei Qing; Chaoxiang Yang; He Zhang; Gang Li 001; Xiangmin Xu (MICCAI (7), 2024)

A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques. - Tao Zhong 002; Ya Wang; Xiaotong Xu; Xueyang Wu 003; Shujun Liang; Zhenyuan Ning; Li Wang 026; Yuyu Niu; Gang Li 001; Yu Zhang 064 (Comput. Medical Imaging Graph., 2024)

Role of Data-driven Regional Growth Model in Shaping Brain Folding Patterns. - Jixin Hou; Zhengwang Wu; Xianyan Chen; Dajiang Zhu; Tianming Liu 001; Gang Li 001; Xianqiao Wang (CoRR, 2024)

Evaluation of OpenAI o1: Opportunities and Challenges of AGI. - Tianyang Zhong; Zhengliang Liu; Yi Pan 001; Yutong Zhang; Yifan Zhou; Shizhe Liang; Zihao Wu 001; Yanjun Lyu; Peng Shu; Xiaowei Yu; Chao Cao; Hanqi Jiang; et al. (CoRR, 2024)

Longitudinally consistent registration and parcellation of cortical surfaces using semi-supervised learning. - Fenqiang Zhao; Zhengwang Wu; Li Wang 026; Weili Lin; Gang Li 001 (Medical Image Anal., 2024)

A joint brain extraction and image quality assessment framework for fetal brain MRI slices. - Wenhao Zhang; Xin Zhang 013; Lingyi Li; Lufan Liao; Fenqiang Zhao; Tao Zhong 002; Yuchen Pei; Xiangmin Xu; Chaoxiang Yang; He Zhang; Gang Li 001 (NeuroImage, 2024)

nBEST: Deep-learning-based non-human primates Brain Extraction and Segmentation Toolbox across ages, sites and species. - Tao Zhong 002; Xueyang Wu 003; Shujun Liang; Zhenyuan Ning; Li Wang 026; Yuyu Niu; Shihua Yang; Zhuang Kang; Qianjin Feng; Gang Li 001; Yu Zhang 064 (NeuroImage, 2024)

PETS-Nets: Joint Pose Estimation and Tissue Segmentation of Fetal Brains Using Anatomy-Guided Networks. - Yuchen Pei; Fenqiang Zhao; Tao Zhong 002; Laifa Ma; Lufan Liao; Zhengwang Wu; Li Wang 026; He Zhang; Lisheng Wang; Gang Li 001 (IEEE Trans. Medical Imaging, 2024)

Multi-Template Meta-Information Regularized Network for Alzheimer's Disease Diagnosis Using Structural MRI. - Kangfu Han; Gang Li 001; Zhiwen Fang; Feng Yang 012 (IEEE Trans. Medical Imaging, 2024)

Unsupervised Cortical Surface Registration Network for Aligning Gyralnet. - Jiale Cheng; Fenqiang Zhao; Dan Hu; Chao Cao; Zhengwang Wu; Xinrui Yuan; Kangfu Han; Lu Zhang 050; Tianming Liu 001; Dajiang Zhu; Gang Li 001 (ISBI, 2025)

Dual Multi-Atlas Representation Alignment for Brain Disorder Diagnosis Using Morphological Connectome. - Kangfu Han; Dan Hu; Jiale Cheng; Tianming Liu 001; Andrea Bozoki; Dajiang Zhu; Gang Li 001 (ISBI, 2025)

Individualized Trajectory Prediction of Early Developing Functional Connectivity. - Weiran Xia; Xin Zhang 013; Dan Hu; Jiale Cheng; Zhengwang Wu; Li Wang 026; Weili Lin; Gang Li 001 (ISBI, 2025)

Mamba-Based Residual Generative Adversarial Network for Functional Connectivity Harmonization During Infancy. - Weiran Xia; Xin Zhang 013; Dan Hu; Jiale Cheng; Weiyan Yin; Zhengwang Wu; Li Wang 026; Weili Lin; Gang Li 001 (ISBI, 2025)

Calibrated multi-view graph learning framework for infant cognitive abilities prediction. - Tong Xiong; Xin Zhang 013; Jiale Cheng; Xiangmin Xu; Gang Li 001 (Biomed. Signal Process. Control., 2025)

Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data. - Michalis Pistos; Gang Li 001; Weili Lin; Dinggang Shen; Islem Rekik (Medical Image Anal., 2025)

Contrastive machine learning reveals species -shared and -specific brain functional architecture. - Li Yang; Guannan Cao; Songyao Zhang; Weihan Zhang; Yusong Sun; Jingchao Zhou; Tianyang Zhong; Yixuan Yuan; Tao Liu 044; Tianming Liu 001; Lei Guo 002; Yongchun Yu; et al. (Medical Image Anal., 2025)

Learning lifespan brain anatomical correspondence via cortical developmental continuity transfer. - Lu Zhang 050; Zhengwang Wu; Xiaowei Yu; Yanjun Lyu; Zihao Wu 001; Haixing Dai; Lin Zhao 004; Li Wang 026; Gang Li 001; Xianqiao Wang; Tianming Liu 001; Dajiang Zhu (Medical Image Anal., 2025)

STF: A spherical transformer for versatile cortical surfaces applications. - Jiale Cheng; Fenqiang Zhao; Zhengwang Wu; Xinrui Yuan; Li Wang 026; John H. Gilmore; Weili Lin; Xin Zhang 013; Gang Li 001 (NeuroImage, 2025)

Large Language Models for Bioinformatics. - Wei Ruan; Yanjun Lyu; Jing Zhang 010; Jiazhang Cai; Peng Shu; Yang Ge; Yao Lu; Shang Gao; Yue Wang; Peilong Wang; Lin Zhao 004; Tao Wang; et al. (CoRR, 2025)

Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task. - Zihao Wu 001; Lu Zhang 050; Chao Cao; Xiaowei Yu; Zhengliang Liu; Lin Zhao 004; Yiwei Li 002; Haixing Dai; Chong Ma; Gang Li 001; Wei Liu 146; Quanzheng Li; et al. (IEEE Trans. Big Data, 2025)

Flexible Individualized Developmental Prediction of Infant Cortical Surface Maps via Intensive Triplet Autoencoder. - Xinrui Yuan; Jiale Cheng; Fenqiang Zhao; Zhengwang Wu; Li Wang 026; Weili Lin; Yu Zhang 064; Ruiyuan Liu; Gang Li 001 (IEEE Trans. Medical Imaging, 2025)