Weili Lin
Orcid: 0000-0002-2900-8204
According to our database1,
Weili Lin
authored at least 255 papers
between 1995 and 2024.
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Bibliography
2024
A Unified Multi-Modality Fusion Framework for Deep Spatio-Spectral-Temporal Feature Learning in Resting-State fMRI Denoising.
IEEE J. Biomed. Health Informatics, April, 2024
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data.
CoRR, 2024
2023
Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network.
Pattern Recognit., November, 2023
An attention-based context-informed deep framework for infant brain subcortical segmentation.
NeuroImage, April, 2023
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023
Path-Based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Prediction of Infant Cognitive Development with Cortical Surface-Based Multimodal Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images.
IEEE Trans. Medical Imaging, 2022
Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction.
IEEE Trans. Medical Imaging, 2022
Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores.
IEEE Trans. Medical Imaging, 2022
Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising.
NeuroImage, 2022
A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort.
NeuroImage, 2022
Medical Image Anal., 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Prediction of HPV-Associated Genetic Diversity for Squamous Cell Carcinoma of Head and Neck Cancer Based on <sup>18</sup>F-FDG PET/CT.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
IEEE Trans. Medical Imaging, 2021
Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction.
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Medical Imaging, 2021
The maturation and cognitive relevance of structural brain network organization from early infancy to childhood.
NeuroImage, 2021
Nat. Mach. Intell., 2021
Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint.
Medical Image Anal., 2021
Medical Image Anal., 2021
Biomed. Signal Process. Control., 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Multi-scale Self-supervised Learning for Multi-site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases Based on Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
2020
Dataset, April, 2020
Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy Annotations.
IEEE Trans. Medical Imaging, 2020
Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging.
IEEE Trans. Medical Imaging, 2020
Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages.
IEEE Trans. Medical Imaging, 2020
Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting".
IEEE Trans. Medical Imaging, 2020
Hierarchical Rough-to-Fine Model for Infant Age Prediction Based on Cortical Features.
IEEE J. Biomed. Health Informatics, 2020
Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks.
IEEE Trans. Image Process., 2020
IEEE Trans. Biomed. Eng., 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.
NeuroImage, 2020
NeuroImage, 2020
CoRR, 2020
Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE).
CoRR, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
6-Month Infant Brain Mri Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial Networks.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning.
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Medical Imaging, 2019
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.
IEEE Trans. Medical Imaging, 2019
Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks.
IEEE Trans. Medical Imaging, 2019
Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting.
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Medical Imaging, 2019
3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation.
IEEE Trans. Cybern., 2019
IEEE Trans. Biomed. Eng., 2019
NeuroImage, 2019
Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts.
NeuroImage, 2019
Brain functional development separates into three distinct time periods in the first two years of life.
NeuroImage, 2019
NeuroImage, 2019
Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network.
NeuroImage, 2019
The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development.
NeuroImage, 2019
A review on neuroimaging studies of genetic and environmental influences on early brain development.
NeuroImage, 2019
Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications.
NeuroImage, 2019
MR fingerprinting enables quantitative measures of brain tissue relaxation times and myelin water fraction in the first five years of life.
NeuroImage, 2019
Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data.
NeuroImage, 2019
Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation.
Medical Image Anal., 2019
XQ-SR: Joint <i>x</i>-<i>q</i> space super-resolution with application to infant diffusion MRI.
Medical Image Anal., 2019
Medical Image Anal., 2019
Frontiers Neuroinformatics, 2019
Hippocampal Segmentation From Longitudinal Infant Brain MR Images via Classification-Guided Boundary Regression.
IEEE Access, 2019
Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network.
IEEE Access, 2019
Multi-layer Temporal Network Analysis Reveals Increasing Temporal Reachability and Spreadability in the First Two Years of Life.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Harmonization of Infant Cortical Thickness Using Surface-to-Surface Cycle-Consistent Adversarial Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Intrinsic Patch-Based Cortical Anatomical Parcellation Using Graph Convolutional Neural Network on Surface Manifold.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Multi-stage Image Quality Assessment of Diffusion MRI via Semi-supervised Nonlocal Residual Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Charting Development-Based Joint Parcellation Maps Of Human and Macaque Brains During Infancy.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the Information Processing in Medical Imaging, 2019
Proceedings of the Information Processing in Medical Imaging, 2019
2018
3D conditional generative adversarial networks for high-quality PET image estimation at low dose.
NeuroImage, 2018
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants.
Medical Image Anal., 2018
Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images.
Medical Image Anal., 2018
Frontiers Neuroinformatics, 2018
Multi-layer Large-Scale Functional Connectome Reveals Infant Brain Developmental Patterns.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development?
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018
Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF).
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Construction of spatiotemporal neonatal cortical surface atlases using a large-scale dataset.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Estimation of shape and growth brain network atlases for connectomic brain mapping in developing infants.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
IEEE Trans. Biomed. Eng., 2017
Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI.
NeuroImage, 2017
Erratum to "Predicting Infant Cortical Surface Development Using a 4D Varifold-based Learning Framework and Local Topography-based Shape Morphing" [Med. Image Anal. 28 (2016)1-12].
Medical Image Anal., 2017
Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI.
Neurocomputing, 2017
Neurocomputing, 2017
Early Brain Functional Segregation and Integration Predict Later Cognitive Performance.
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017
Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains.
Proceedings of the Information Processing in Medical Imaging, 2017
2016
IEEE Trans. Image Process., 2016
Visualization of perivascular spaces in the human brain at 7 T: sequence optimization and morphology characterization.
NeuroImage, 2016
Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical Surfaces.
NeuroImage, 2016
Segmentation of perivascular spaces in 7 T MR image using auto-context model with orientation-normalized features.
NeuroImage, 2016
NeuroImage, 2016
Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing.
Medical Image Anal., 2016
Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images.
Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016
A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces Using Large-Scale Dataset.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation.
NeuroImage, 2015
LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images.
NeuroImage, 2015
Construction of 4D high-definition cortical surface atlases of infants: Methods and applications.
Medical Image Anal., 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse Representation.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold Representation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
Parcellation of Infant Surface Atlas Using Developmental Trajectories of Multidimensional Cortical Attributes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework.
Proceedings of the Information Processing in Medical Imaging, 2015
2014
NeuroImage, 2014
Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation.
NeuroImage, 2014
Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants.
NeuroImage, 2014
Measuring the dynamic longitudinal cortex development in infants by reconstruction of temporally consistent cortical surfaces.
NeuroImage, 2014
Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants.
Medical Image Anal., 2014
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014
Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
MRI based attenuation correction for PET/MRI via MRF segmentation and sparse regression estimated CT.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Tailor the longitudinal anaysis for nih longitudinal normal brain developmental study.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
NeuroImage, 2013
Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data.
NeuroImage, 2013
Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Patient-Specific Biomechanical Modeling of Ventricular Enlargement in Hydrocephalus from Longitudinal Magnetic Resonance Imaging.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Patch-driven neonatal brain MRI segmentation with sparse representation and level sets.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Measuring longitudinally dynamic cortex development in infants by reconstruction of consistent cortical surfaces.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
TwinMARM: Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data.
IEEE Trans. Medical Imaging, 2012
Altered structural connectivity in neonates at genetic risk for schizophrenia: A combined study using morphological and white matter networks.
NeuroImage, 2012
NeuroImage, 2012
NeuroImage, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Statistical growth modeling of longitudinal DT-MRI for regional characterization of early brain development.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
Automatic segmentation of neonatal images using convex optimization and coupled level sets.
NeuroImage, 2011
Sex differences in grey matter atrophy patterns among AD and aMCI patients: Results from ADNI.
NeuroImage, 2011
Longitudinal regression analysis of spatial-temporal growth patterns of geometrical diffusion measures in early postnatal brain development with diffusion tensor imaging.
NeuroImage, 2011
Reconstruction of Fiber Trajectories via Population-Based Estimation of Local Orientations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Longitudinal Tractography with Application to Neuronal Fiber Trajectory Reconstruction in Neonates.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011
2010
IEEE Trans. Medical Imaging, 2010
IEEE Trans. Medical Imaging, 2010
Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation.
NeuroImage, 2010
Proceedings of the Medical Imaging 2010: Image Processing, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
The Alzheimer's Disease Neuroimaging Initiative: Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Multivariate Network-Level Approach to Detect Interactions between Large-Scale Functional Systems.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
Automatic Segmentation of Neonatal Images Using Convex Optimization and Coupled Level Set Method.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
NeuroImage, 2009
White matter abnormalities revealed by diffusion tensor imaging in non-demented and demented HIV+ patients.
NeuroImage, 2009
Brain tissue segmentation of neonatal MR images using a longitudinal subject-specific probabilistic atlas.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Hierarchical unbiased group-wise registration for atlas construction and population comparison.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Constrained Data Decomposition and Regression for Analyzing Healthy Aging from Fiber Tract Diffusion Properties.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Information Processing in Medical Imaging, 2009
Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009
Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009
2008
A Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Images.
IEEE Trans. Medical Imaging, 2008
2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
2005
Medical Image Anal., 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
An XCS-Based Intelligent Searching Model for Cross-Organization Identity Management in Web Service.
Proceedings of the Fourth International Conference on Electronic Business, 2004
An Intelligent Model for Stock Investment with Buffett Strategy, Classifier System, Neural Networkand Linear Programming.
Proceedings of the Fourth International Conference on Electronic Business, 2004
2003
IEEE Trans. Medical Imaging, 2003
Assessing Early Brain Development in Neonates by Segmentation of High-Resolution 3T MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
1995
In vivo validation of the bold mechanism: A review of signal changes in gradient echo functional MRI in the presence of flow.
Int. J. Imaging Syst. Technol., 1995