In vivo validation of the bold mechanism: A review of signal changes in gradient echo functional MRI in the presence of flow. - E. Mark Haacke; Song Lai; Dmitriy A. Yablonskiy; Weili Lin (Int. J. Imaging Syst. Technol., 1995)

Vascular Attributes and Malignant Brain Tumors. - Elizabeth Bullitt; Guido Gerig; Stephen R. Aylward; Sarang C. Joshi; J. Keith Smith; Matthew G. Ewend; Weili Lin (MICCAI (1), 2003)

Quantitative Analysis of White Matter Fiber Properties along Geodesic Paths. - Pierre Fillard; John H. Gilmore; Joseph Piven; Weili Lin; Guido Gerig (MICCAI (2), 2003)

Assessing Early Brain Development in Neonates by Segmentation of High-Resolution 3T MRI. - Guido Gerig; Marcel Prastawa; Weili Lin; John H. Gilmore (MICCAI (2), 2003)

Measuring Tortuosity of the Intracerebral Vasculature. - Elizabeth Bullitt; Guido Gerig; Stephen M. Pizer; Weili Lin; Stephen R. Aylward (IEEE Trans. Medical Imaging, 2003)

An Intelligent Model for Stock Investment with Buffett Strategy, Classifier System, Neural Networkand Linear Programming. - Anping Chen; Weili Lin; Yenchu Chen (ICEB, 2004)

An XCS-Based Intelligent Searching Model for Cross-Organization Identity Management in Web Service. - Chichun Lo; Weili Lin; Jay Wu (ICEB, 2004)

Determining Malignancy of Brain Tumors by Analysis of Vessel Shape. - Elizabeth Bullitt; Inkyung Jung; Keith E. Muller; Guido Gerig; Stephen R. Aylward; Sarang C. Joshi; J. Keith Smith; Weili Lin; Matthew G. Ewend (MICCAI (2), 2004)

Automatic Segmentation of Neonatal Brain MRI. - Marcel Prastawa; John H. Gilmore; Weili Lin; Guido Gerig (MICCAI (1), 2004)

An independent component analysis approach to perfusion weighted imaging. - Yang Wu; Hamid Krim; Hongyu An; Weili Lin (ICASSP (5), 2005)

Analyzing attributes of vessel populations. - Elizabeth Bullitt; Keith E. Muller; Inkyung Jung; Weili Lin; Stephen R. Aylward (Medical Image Anal., 2005)

Automatic segmentation of MR images of the developing newborn brain. - Marcel Prastawa; John H. Gilmore; Weili Lin; Guido Gerig (Medical Image Anal., 2005)

Quantification of Measurement Error in DTI: Theoretical Predictions and Validation. - Casey Goodlett; P. Thomas Fletcher; Weili Lin; Guido Gerig (MICCAI (1), 2007)

A Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Images. - Ying Yuan; Hongtu Zhu; Joseph G. Ibrahim; Weili Lin; Bradley S. Peterson (IEEE Trans. Medical Imaging, 2008)

Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil. - Feng Shi 001; Pew-Thian Yap; Yong Fan 001; Jie-Zhi Cheng; Lawrence L. Wald; Guido Gerig; Weili Lin; Dinggang Shen (CVPR Workshops, 2009)

Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters. - Songyuan Tang; Yong Fan 001; Hongtu Zhu; Pew-Thian Yap; Wei Gao; Weili Lin; Dinggang Shen (CVPR Workshops, 2009)

MARM: Multiscale Adaptive Regression Models for Neuroimaging Data. - Hongtu Zhu; Yimei Li; Joseph G. Ibrahim; Weili Lin; Dinggang Shen (IPMI, 2009)

Mapping Growth Patterns and Genetic Influences on Early Brain Development in Twins. - Yasheng Chen; Hongtu Zhu; Dinggang Shen; Hongyu An; John H. Gilmore; Weili Lin (MICCAI (1), 2009)

Constrained Data Decomposition and Regression for Analyzing Healthy Aging from Fiber Tract Diffusion Properties. - Sylvain Gouttard; Marcel Prastawa; Elizabeth Bullitt; Weili Lin; Casey Goodlett; Guido Gerig (MICCAI (1), 2009)

Intrinsic Regression Models for Manifold-Valued Data. - Xiaoyan Shi; Martin Styner; Jeffrey A. Lieberman; Joseph G. Ibrahim; Weili Lin; Hongtu Zhu (MICCAI (1), 2009)

Fast Tensor Image Morphing for Elastic Registration. - Pew-Thian Yap; Guorong Wu 001; Hongtu Zhu; Weili Lin; Dinggang Shen (MICCAI (1), 2009)

Hierarchical unbiased group-wise registration for atlas construction and population comparison. - Yasheng Chen; Dinggang Shen; Hongtu Zhu; Hongyu An; John H. Gilmore; Weili Lin (Image Processing, 2009)

LSTGEE: longitudinal analysis of neuroimaging data. - Yimei Li; Hongtu Zhu; Yasheng Chen; Hongyu An; John H. Gilmore; Weili Lin; Dinggang Shen (Image Processing, 2009)

RADTI: regression analyses of diffusion tensor images. - Yimei Li; Hongtu Zhu; Yasheng Chen; Joseph G. Ibrahim; Hongyu An; Weili Lin; Colin Hall; Dinggang Shen (Image Processing, 2009)

Brain tissue segmentation of neonatal MR images using a longitudinal subject-specific probabilistic atlas. - Feng Shi 001; Yong Fan 001; Songyuan Tang; John H. Gilmore; Weili Lin; Dinggang Shen (Image Processing, 2009)

White matter abnormalities revealed by diffusion tensor imaging in non-demented and demented HIV+ patients. - Yasheng Chen; Hongyu An; Hongtu Zhu; Taylor Stone; J. Keith Smith; Colin Hall; Elizabeth Bullitt; Dinggang Shen; Weili Lin (NeuroImage, 2009)

A unified optimization approach for diffusion tensor imaging technique. - Wei Gao; Hongtu Zhu; Weili Lin (NeuroImage, 2009)

TIMER: Tensor Image Morphing for Elastic Registration. - Pew-Thian Yap; Guorong Wu 001; Hongtu Zhu; Weili Lin; Dinggang Shen (NeuroImage, 2009)

A new framework for analyzing white matter maturation in early brain development. - Marcel Prastawa; Neda Sadeghi; John H. Gilmore; Weili Lin; Guido Gerig (ISBI, 2010)

Neonatal brain MRI segmentation by building multi-region-multireference atlases. - Feng Shi 001; Pew-Thian Yap; Yong Fan 001; John H. Gilmore; Weili Lin; Dinggang Shen (ISBI, 2010)

Spatial-Temporal Constraint for Segmentation of Serial Infant Brain MR Images. - Feng Shi 001; Pew-Thian Yap; John H. Gilmore; Weili Lin; Dinggang Shen (MIAR, 2010)

Automatic Segmentation of Neonatal Images Using Convex Optimization and Coupled Level Set Method. - Li Wang 026; Feng Shi 001; John H. Gilmore; Weili Lin; Dinggang Shen (MIAR, 2010)

Hierachical Spherical Harmonics Based Deformable HARDI Registration. - Pew-Thian Yap; Yasheng Chen; Hongyu An; John H. Gilmore; Weili Lin; Dinggang Shen (MIAR, 2010)

Simulation of Brain Mass Effect with an Arbitrary Lagrangian and Eulerian FEM. - Yasheng Chen; Songbai Ji; Xunlei Wu; Hongyu An; Hongtu Zhu; Dinggang Shen; Weili Lin (MICCAI (2), 2010)

Multivariate Network-Level Approach to Detect Interactions between Large-Scale Functional Systems. - Wei Gao; Hongtu Zhu; Kelly S. Giovanello; Weili Lin (MICCAI (2), 2010)

The Alzheimer's Disease Neuroimaging Initiative: Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study. - Yang Li 010; Yaping Wang; Zhong Xue; Feng Shi 001; Weili Lin; Dinggang Shen (MICCAI (2), 2010)

Multivariate Varying Coefficient Models for DTI Tract Statistics. - Hongtu Zhu; Martin Styner; Yimei Li; Linglong Kong; Yundi Shi; Weili Lin; Christopher L. Coe; John H. Gilmore (MICCAI (1), 2010)

Towards analysis of growth trajectory through multimodal longitudinal MR imaging. - Neda Sadeghi; Marcel Prastawa; John H. Gilmore; Weili Lin; Guido Gerig (Image Processing, 2010)

Neonatal brain image segmentation in longitudinal MRI studies. - Feng Shi 001; Yong Fan 001; Songyuan Tang; John H. Gilmore; Weili Lin; Dinggang Shen (NeuroImage, 2010)

Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation. - Feng Shi 001; Pew-Thian Yap; Yong Fan 001; John H. Gilmore; Weili Lin; Dinggang Shen (NeuroImage, 2010)

F-TIMER: Fast Tensor Image Morphing for Elastic Registration. - Pew-Thian Yap; Guorong Wu 001; Hongtu Zhu; Weili Lin; Dinggang Shen (IEEE Trans. Medical Imaging, 2010)

FRATS: Functional Regression Analysis of DTI Tract Statistics. - Hongtu Zhu; Martin Styner; Niansheng Tang; Zhexing Liu; Weili Lin; John H. Gilmore (IEEE Trans. Medical Imaging, 2010)

Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data. - Yimei Li; John H. Gilmore; Jiaping Wang; Martin Styner; Weili Lin; Hongtu Zhu (MBIA, 2011)

Learning-Based Meta-Algorithm for MRI Brain Extraction. - Feng Shi 001; Li Wang 026; John H. Gilmore; Weili Lin; Dinggang Shen (MICCAI (3), 2011)

Accurate and Consistent 4D Segmentation of Serial Infant Brain MR Images. - Li Wang 026; Feng Shi 001; Pew-Thian Yap; John H. Gilmore; Weili Lin; Dinggang Shen (MBIA, 2011)

Adaptively and Spatially Estimating the Hemodynamic Response Functions in fMRI. - Jiaping Wang; Hongtu Zhu; Jianqing Fan; Kelly S. Giovanello; Weili Lin (MICCAI (2), 2011)

Longitudinal Tractography with Application to Neuronal Fiber Trajectory Reconstruction in Neonates. - Pew-Thian Yap; John H. Gilmore; Weili Lin; Dinggang Shen (MICCAI (2), 2011)

Reconstruction of Fiber Trajectories via Population-Based Estimation of Local Orientations. - Pew-Thian Yap; John H. Gilmore; Weili Lin; Dinggang Shen (MICCAI (2), 2011)

Longitudinal regression analysis of spatial-temporal growth patterns of geometrical diffusion measures in early postnatal brain development with diffusion tensor imaging. - Yasheng Chen; Hongyu An; Hongtu Zhu; Valerie Jewells; Diane Armao; Dinggang Shen; John H. Gilmore; Weili Lin (NeuroImage, 2011)

Brain anatomical networks in early human brain development. - Yong Fan 001; Feng Shi 001; Jeffrey Keith Smith; Weili Lin; John H. Gilmore; Dinggang Shen (NeuroImage, 2011)

Sex differences in grey matter atrophy patterns among AD and aMCI patients: Results from ADNI. - Martha Skup; Hongtu Zhu; Yaping Wang; Kelly S. Giovanello; Ja-an Lin; Dinggang Shen; Feng Shi 001; Wei Gao; Weili Lin; Yong Fan 001; Heping Zhang (NeuroImage, 2011)

Automatic segmentation of neonatal images using convex optimization and coupled level sets. - Li Wang 026; Feng Shi 001; Weili Lin; John H. Gilmore; Dinggang Shen (NeuroImage, 2011)

SPHERE: SPherical Harmonic Elastic REgistration of HARDI data. - Pew-Thian Yap; Yasheng Chen; Hongyu An; Yang Yang 110; John H. Gilmore; Weili Lin; Dinggang Shen (NeuroImage, 2011)

FADTTS: Functional analysis of diffusion tensor tract statistics. - Hongtu Zhu; Linglong Kong; Runze Li 001; Martin Styner; Guido Gerig; Weili Lin; John H. Gilmore (NeuroImage, 2011)

PopTract: Population-Based Tractography. - Pew-Thian Yap; John H. Gilmore; Weili Lin; Dinggang Shen (IEEE Trans. Medical Imaging, 2011)

Statistical growth modeling of longitudinal DT-MRI for regional characterization of early brain development. - Neda Sadeghi; Marcel Prastawa; P. Thomas Fletcher; John H. Gilmore; Weili Lin; Guido Gerig (ISBI, 2012)

Atlas Construction via Dictionary Learning and Group Sparsity. - Feng Shi 001; Li Wang 026; Guorong Wu 001; Yu Zhang; Manhua Liu; John H. Gilmore; Weili Lin; Dinggang Shen (MICCAI (1), 2012)

Quantitative tract-based white matter development from birth to age 2 years. - Xiujuan Geng; Sylvain Gouttard; Anuja Sharma; Hongbin Gu; Martin Styner; Weili Lin; Guido Gerig; John H. Gilmore (NeuroImage, 2012)

LABEL: Pediatric brain extraction using learning-based meta-algorithm. - Feng Shi 001; Li Wang 026; Yakang Dai; John H. Gilmore; Weili Lin; Dinggang Shen (NeuroImage, 2012)

Altered structural connectivity in neonates at genetic risk for schizophrenia: A combined study using morphological and white matter networks. - Feng Shi 001; Pew-Thian Yap; Wei Gao; Weili Lin; John H. Gilmore; Dinggang Shen (NeuroImage, 2012)

TwinMARM: Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data. - Yimei Li; John H. Gilmore; Jiaping Wang; Martin Styner; Weili Lin; Hongtu Zhu (IEEE Trans. Medical Imaging, 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)

Patient-Specific Biomechanical Modeling of Ventricular Enlargement in Hydrocephalus from Longitudinal Magnetic Resonance Imaging. - Yasheng Chen; Zheng Fan; Songbai Ji; Joseph Muenzer; Hongyu An; Weili Lin (MICCAI (3), 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)

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)

Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data. - Yimei Li; John H. Gilmore; Dinggang Shen; Martin Styner; Weili Lin; Hongtu Zhu (NeuroImage, 2013)

Associations between white matter microstructure and infants' working memory. - Sarah J. Short; Jed T. Elison; Barbara Davis Goldman; Martin Styner; Hongbin Gu; Mark Connelly; Eric A. Maltbie; Sandra Woolson; Weili Lin; Guido Gerig; J. Steven Reznick; John H. Gilmore (NeuroImage, 2013)

Tailor the longitudinal anaysis for nih longitudinal normal brain developmental study. - Yasheng Chen; Hongyu An; Dinggang Shen; Hongtu Zhu; Weili Lin (ISBI, 2014)

MRI based attenuation correction for PET/MRI via MRF segmentation and sparse regression estimated CT. - Yasheng Chen; Meher R. Juttukonda; Yue Z. Lee; Yi Su; Felipe Espinoza; Weili Lin; Dinggang Shen; David Lulash; Hongyu An (ISBI, 2014)

Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features. - Yanrong Guo; Guorong Wu 001; Leah A. Commander; Stephanie Szary; Valerie Jewells; Weili Lin; Dinggang Shen (MICCAI (2), 2014)

Prediction of Standard-Dose PET Image by Low-Dose PET and MRI Images. - Jiayin Kang; Yaozong Gao; Yao Wu; Guangkai Ma; Feng Shi 001; Weili Lin; Dinggang Shen (MLMI, 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)

Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development. - Qian Wang 001; Guorong Wu 001; Li Wang 026; Pengfei Shi; Weili Lin; Dinggang Shen (MLMI, 2014)

Joint Segmentation and Registration for Infant Brain Images. - Guorong Wu 001; Li Wang 026; John H. Gilmore; Weili Lin; Dinggang Shen (MCV, 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)

Prenatal cocaine effects on brain structure in early infancy. - Karen Grewen; Margaret Burchinal; Clement Vachet; Sylvain Gouttard; John H. Gilmore; Weili Lin; Josephine Johns; Mala Elam; Guido Gerig (NeuroImage, 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)

A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation. - Le An; Pei Zhang 002; Ehsan Adeli-Mosabbeb; Yan Wang 015; Guangkai Ma; Feng Shi 001; David S. Lalush; Weili Lin; Dinggang Shen (Patch-MI@MICCAI, 2015)

Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data. - Yanrong Guo; Guorong Wu 001; Pew-Thian Yap; Valerie Jewells; Weili Lin; Dinggang Shen (MICCAI (3), 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)

Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse Representation. - Yan Wang 015; Pei Zhang 002; Le An; Guangkai Ma; Jiayin Kang; Xi Wu 004; Jiliu Zhou; David S. Lalush; Weili Lin; Dinggang Shen (MLMI, 2015)

Statistical Topological Data Analysis - A Kernel Perspective. - Roland Kwitt; Stefan Huber 001; Marc Niethammer; Weili Lin; Ulrich Bauer (NIPS, 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)

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation. - Wenlu Zhang; Rongjian Li; Houtao Deng; Li Wang 026; Weili Lin; Shuiwang Ji; Dinggang Shen (NeuroImage, 2015)

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)

Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image. - Jun Zhang 018; Yaozong Gao; Sang Hyun Park 004; Xiaopeng Zong; Weili Lin; 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)

STGP: Spatio-temporal Gaussian process models for longitudinal neuroimaging data. - Jung Won Hyun; Yimei Li; Chao Huang 005; Martin Styner; Weili Lin; Hongtu Zhu (NeuroImage, 2016)

Segmentation of perivascular spaces in 7 T MR image using auto-context model with orientation-normalized features. - Sang Hyun Park 004; Xiaopeng Zong; Yaozong Gao; Weili Lin; Dinggang Shen (NeuroImage, 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)

Visualization of perivascular spaces in the human brain at 7 T: sequence optimization and morphology characterization. - Xiaopeng Zong; Sang Hyun Park 004; Dinggang Shen; Weili Lin (NeuroImage, 2016)

Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation. - Le An; Pei Zhang 002; Ehsan Adeli-Mosabbeb; Yan Wang 015; Guangkai Ma; Feng Shi 001; David S. Lalush; Weili Lin; Dinggang Shen (IEEE Trans. Image Process., 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)

Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases. - Jaeil Kim; Geng Chen 001; Weili Lin; Pew-Thian Yap; Dinggang Shen (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)

Early Brain Functional Segregation and Integration Predict Later Cognitive Performance. - Han Zhang 002; Weiyan Yin; Weili Lin; Dinggang Shen (CNI@MICCAI, 2017)

Scalable joint segmentation and registration framework for infant brain images. - Pei Dong; Li Wang 026; Weili Lin; Dinggang Shen; Guorong Wu 001 (Neurocomputing, 2017)

Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI. - Lei Xiang; Yu Qiao 001; Dong Nie; Le An; Weili Lin; Qian Wang 001; Dinggang Shen (Neurocomputing, 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)

Structured Learning for 3-D Perivascular Space Segmentation Using Vascular Features. - Jun Zhang 018; Yaozong Gao; Sang Hyun Park 004; Xiaopeng Zong; Weili Lin; Dinggang Shen (IEEE Trans. Biomed. Eng., 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 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)

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)

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)

Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF). - Zhenghan Fang; Yong Chen; Mingxia Liu 001; Yiqiang Zhan; Weili Lin; Dinggang Shen (MLMI@MICCAI, 2018)

Enhancement of Perivascular Spaces Using a Very Deep 3D Dense Network. - Euijin Jung; Xiaopeng Zong; Weili Lin; Dinggang Shen; Sanghyun Park 004 (PRIME@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)

Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis. - Yan Wang 015; Luping Zhou; Lei Wang 001; Biting Yu; Chen Zu; David S. Lalush; Weili Lin; Xi Wu 004; Jiliu Zhou; Dinggang Shen (MICCAI (1), 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)

Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information. - Lei Xiang; Yong Chen; Weitang Chang; Yiqiang Zhan; Weili Lin; Qian Wang 001; Dinggang Shen (MICCAI (1), 2018)

Unpaired Deep Cross-Modality Synthesis with Fast Training. - Lei Xiang; Yang Li 010; Weili Lin; Qian Wang 001; Dinggang Shen (DLMIA/ML-CDS@MICCAI, 2018)

Multi-layer Large-Scale Functional Connectome Reveals Infant Brain Developmental Patterns. - Han Zhang 002; Natalie Stanley; Peter J. Mucha; Weiyan Yin; Weili Lin; Dinggang Shen (MICCAI (3), 2018)

Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Weili Lin; Dinggang Shen; Pew-Thian Yap (Frontiers Neuroinformatics, 2018)

Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images. - Chunfeng Lian; Jun Zhang 018; Mingxia Liu 001; Xiaopeng Zong; Sheng-Che Hung; Weili Lin; Dinggang Shen (Medical Image Anal., 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)

3D conditional generative adversarial networks for high-quality PET image estimation at low dose. - Yan Wang 015; Biting Yu; Lei Wang 001; Chen Zu; David S. Lalush; Weili Lin; Xi Wu 004; Jiliu Zhou; Dinggang Shen; Luping Zhou (NeuroImage, 2018)

Asymmetry Spectrum Imaging for Baby Diffusion Tractography. - Ye Wu 001; Weili Lin; Dinggang Shen; Pew-Thian Yap (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)

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)

RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting. - Zhenghan Fang; Yong Chen; Dong Nie; Weili Lin; Dinggang Shen (MICCAI (3), 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)

Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Geng Chen 001; Kim-Han Thung; Haiyong Wu; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (3), 2019)

Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Kim-Han Thung; Geng Chen 001; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (3), 2019)

A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI. - Tae-Eui Kam; Xuyun Wen; Bing Jin; Zhicheng Jiao; Li-Ming Hsu; Zhen Zhou 004; Yujie Liu; Koji Yamashita; Sheng-Che Hung; Weili Lin; Han Zhang 002; Dinggang Shen (MICCAI (3), 2019)

Multi-stage Image Quality Assessment of Diffusion MRI via Semi-supervised Nonlocal Residual Networks. - Siyuan Liu 004; Kim-Han Thung; Weili Lin; Pew-Thian Yap; Dinggang Shen (MICCAI (3), 2019)

Semi-supervised VAE-GAN for Out-of-Sample Detection Applied to MRI Quality Control. - Mahmoud Mostapha; Juan Prieto 001; Veronica Murphy; Jessica B. Girault; Mark Foster; Ashley Rumple; Joseph Blocher; Weili Lin; Jed T. Elison; John H. Gilmore; Steven M. Pizer; Martin Styner (MICCAI (3), 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)

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)

Multi-layer Temporal Network Analysis Reveals Increasing Temporal Reachability and Spreadability in the First Two Years of Life. - Zhen Zhou 004; Han Zhang 002; Li-Ming Hsu; Weili Lin; Gang Pan 001; Dinggang Shen (MICCAI (3), 2019)

Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network. - Euijin Jung; Philip Chikontwe; Xiaopeng Zong; Weili Lin; Dinggang Shen; Sang Hyun Park 004 (IEEE Access, 2019)

Hippocampal Segmentation From Longitudinal Infant Brain MR Images via Classification-Guided Boundary Regression. - Yeqin Shao; Jaeil Kim; Yaozong Gao; Qian Wang 001; Weili Lin; Dinggang Shen (IEEE Access, 2019)

Dilated Dense U-Net for Infant Hippocampus Subfield Segmentation. - Hancan Zhu; Feng Shi 001; Li Wang 026; Sheng-Che Hung; Meng-Hsiang Chen; Shuai Wang 002; Weili Lin; Dinggang Shen (Frontiers Neuroinformatics, 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)

XQ-SR: Joint x-q space super-resolution with application to infant diffusion MRI. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Weili Lin; Dinggang Shen; Pew-Thian Yap (Medical Image Anal., 2019)

Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation. - Yongqin Zhang; Pew-Thian Yap; Geng Chen 001; Weili Lin; Li Wang 026; 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)

MR fingerprinting enables quantitative measures of brain tissue relaxation times and myelin water fraction in the first five years of life. - Yong Chen; Meng-Hsiang Chen; Kristine Baluyot; Taylor Potts; Jordan Jimenez; Weili Lin (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)

A review on neuroimaging studies of genetic and environmental influences on early brain development. - Wei Gao; Karen Grewen; Rebecca C. Knickmeyer; Anqi Qiu; Andrew P. Salzwedel; Weili Lin; John H. Gilmore (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)

Brain functional development separates into three distinct time periods in the first two years of life. - Weiyan Yin; Meng-Hsiang Chen; Sheng-Che Hung; Kristine Baluyot; Tengfei Li 001; Weili Lin (NeuroImage, 2019)

Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts. - Han Zhang 002; Dinggang Shen; Weili Lin (NeuroImage, 2019)

Quantitative phase contrast MRI of penetrating arteries in centrum semiovale at 7T. - Xiaopeng Zong; Weili Lin (NeuroImage, 2019)

Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction. - Lei Xiang; Yong Chen; Weitang Chang; Yiqiang Zhan; Weili Lin; Qian Wang 001; Dinggang Shen (IEEE Trans. Biomed. Eng., 2019)

3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation. - Dong Nie; Li Wang 026; Ehsan Adeli 001; Cuijin Lao; Weili Lin; Dinggang Shen (IEEE Trans. Cybern., 2019)

Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space. - Geng Chen 001; Bin Dong 001; Yong Zhang 004; Weili Lin; Dinggang Shen; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2019)

Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting. - Zhenghan Fang; Yong Chen; Mingxia Liu 001; Lei Xiang; Qian Zhang 066; Qian Wang 001; Weili Lin; Dinggang Shen (IEEE Trans. Medical Imaging, 2019)

Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks. - Yoonmi Hong; Jaeil Kim; Geng Chen 001; Weili Lin; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Medical Imaging, 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)

3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis. - Yan Wang 015; Luping Zhou; Biting Yu; Lei Wang 001; Chen Zu; David S. Lalush; Weili Lin; Xi Wu 004; Jiliu Zhou; Dinggang Shen (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)

Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts. - Sahar Ahmad; Ye Wu 001; Khoi Minh Huynh; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (2), 2020)

Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks. - Geng Chen 001; Yoonmi Hong; Yongqin Zhang; Jaeil Kim; Khoi Minh Huynh; Jiquan Ma; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (7), 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)

Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network. - Feng Cheng; Yong Chen; Xiaopeng Zong; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (2), 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)

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)

Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity. - Ye Wu 001; Yoonmi Hong; Sahar Ahmad; Wei-Tang Chang; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (7), 2020)

Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles. - Ye Wu 001; Yoonmi Hong; Sahar Ahmad; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (7), 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)

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)

Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE). - Yoonmi Hong; Wei-Tang Chang; Geng Chen 001; Ye Wu 001; Weili Lin; Dinggang Shen; Pew-Thian Yap (CoRR, 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)

Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy. - Xuyun Wen; Li-Ming Hsu; Weili Lin; Han Zhang 002; Dinggang Shen (CoRR, 2020)

High-resolution 3D MR Fingerprinting using parallel imaging and deep learning. - Yong Chen; Zhenghan Fang; Sheng-Che Hung; Weitang Chang; Dinggang Shen; Weili Lin (NeuroImage, 2020)

Morphology of perivascular spaces and enclosed blood vessels in young to middle-aged healthy adults at 7T: Dependences on age, brain region, and breathing gas. - Xiaopeng Zong; Chunfeng Lian; Jordan Jimenez; Koji Yamashita; Dinggang Shen; Weili Lin (NeuroImage, 2020)

Corrections to "Deep Learning Based Multi-Modal Fusion for Fast MR Reconstruction". - Lei Xiang; Yong Chen; Weitang Chang; Yiqiang Zhan; Weili Lin; Qian Wang 001; Dinggang Shen (IEEE Trans. Biomed. Eng., 2020)

Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks. - Siyuan Liu 004; Kim-Han Thung; Weili Lin; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Image Process., 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)

Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting". - Zhenghan Fang; Yong Chen; Mingxia Liu 001; Lei Xiang; Qian Zhang 066; Qian Wang 001; Weili Lin; Dinggang Shen (IEEE Trans. Medical Imaging, 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)

Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Xifeng Wang; Geng Chen 001; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2020)

Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy Annotations. - Siyuan Liu 004; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2020)

Code used in article "Learning MRI artefact removal with unpaired data". - Siyuan Liu 004; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

Code used in article "Learning MRI Artefact Removal With Unpaired Data". - Siyuan Liu 004; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

Code used in article "Learning MRI artefact removal with unpaired data". - Siyuan Liu 004; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

24 shells diffusion MRI. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Xifeng Wang; Geng Chen 001; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

24-shell diffusion MRI data. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Xifeng Wang; Geng Chen 001; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

24-shell diffusion MRI data. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Xifeng Wang; Geng Chen 001; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)

24-shell diffusion MRI data. - Khoi Minh Huynh; Tiantian Xu; Ye Wu 001; Xifeng Wang; Geng Chen 001; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 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)

Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation. - Siyuan Liu 004; Kim-Han Thung; Weili Lin; Pew-Thian Yap (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)

Learning MRI Artifact Removal With Unpaired Data. - Siyuan Liu 004; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (CoRR, 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)

Learning MRI artefact removal with unpaired data. - Siyuan Liu 004; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (Nat. Mach. Intell., 2021)

Publisher Correction: Learning MRI artefact removal with unpaired data. - Siyuan Liu 004; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (Nat. Mach. Intell., 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)

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)

Prediction of HPV-Associated Genetic Diversity for Squamous Cell Carcinoma of Head and Neck Cancer Based on 18F-FDG PET/CT. - Yuqi Fang; Jorge Daniel Oldan; Weili Lin; Travis Parke Schrank; Wendell Gray Yarbrough; Natalia Isaeva; Mingxia Liu 001 (MLMI@MICCAI, 2022)

Fast Image-Level MRI Harmonization via Spectrum Analysis. - Hao Guan; Siyuan Liu 004; Weili Lin; Pew-Thian Yap; Mingxia Liu 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)

Rapid Diffusion Magnetic Resonance Imaging Using Slice-Interleaved Encoding. - Tiantian Xu; Ye Wu 001; Yoonmi Hong; Sahar Ahmad; Khoi Minh Huynh; Zhixing Wang; Weili Lin; Wei-Tang Chang; Pew-Thian Yap (Medical Image Anal., 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)

Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising. - Keun-Soo Heo; Dong-Hee Shin; Sheng-Che Hung; Weili Lin; Han Zhang 002; Dinggang Shen; Tae-Eui Kam (NeuroImage, 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)

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)

Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation. - Mengqi Wu; Lintao Zhang; Pew-Thian Yap; Weili Lin; Hongtu Zhu; Mingxia Liu 001 (MLMI@MICCAI (1), 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)

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

Generation of Anatomy-Realistic 4d Infant Brain Atlases with Tissue Maps Using Generative Adversarial Networks. - Kaibo Tang; Liangjun Chen; Zhengwang Wu; Fenqiang Zhao; Ya Wang; Weili Lin; Li Wang 026; Gang Li 034 (ISBI, 2024)

Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure. - Jiale Cheng; Zhengwang Wu; Xinrui Yuan; Li Wang 026; Weili Lin; Karen Grewen; Gang Li (MICCAI (12), 2024)

Cycle-Consistent Learning for Fetal Cortical Surface Reconstruction. - Xiuyu Dong; Zhengwang Wu; Laifa Ma; Ya Wang; Kaibo Tang; He Zhang; Weili Lin; Gang Li (MICCAI (7), 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)

Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development. - Xinrui Yuan; Jiale Cheng; Dan Hu; Zhengwang Wu; Li Wang 026; Weili Lin; Gang Li (MICCAI (5), 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)

Source-free unsupervised domain adaptation: A survey. - Yuqi Fang; Pew-Thian Yap; Weili Lin; Hongtu Zhu; Ming-Xia Liu 001 (Neural Networks, 2024)

A Unified Multi-Modality Fusion Framework for Deep Spatio-Spectral-Temporal Feature Learning in Resting-State fMRI Denoising. - Minjoo Lim; Keun-Soo Heo; Jun-Mo Kim 001; Bogyeong Kang; Weili Lin; Han Zhang 002; Dinggang Shen; Tae-Eui Kam (IEEE J. Biomed. Health Informatics, 2024)

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)

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)

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)

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)