Weili Lin

发表

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

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

Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts

Kim-Han Thung, Dinggang Shen, Weili Lin, 2020, MICCAI.

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation

Shuiwang Ji, Wenlu Zhang, Dinggang Shen, 2015, NeuroImage.

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

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

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

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

Construction of Spatiotemporal Infant Cortical Surface Functional Templates

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

Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments

Kim-Han Thung, Pew-Thian Yap, Dinggang Shen, 2019, MICCAI.

RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting

Dong Nie, Dinggang Shen, Weili Lin, 2019, MICCAI.

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

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

Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments

Kim-Han Thung, Pew-Thian Yap, Dinggang Shen, 2019, MICCAI.

Semi-supervised VAE-GAN for Out-of-Sample Detection Applied to MRI Quality Control

Martin Styner, Joseph Blocher, Mark Foster, 2019, MICCAI.

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

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

Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation

Yan Wang, Dinggang Shen, David S. Lalush, 2016, IEEE Transactions on Image Processing.

Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity

Dinggang Shen, Weili Lin, Ye Wu, 2020, MICCAI.

Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting

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

Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical Surfaces

Dinggang Shen, Weili Lin, Gang Li, 2016, NeuroImage.

High-resolution 3D MR Fingerprinting using parallel imaging and deep learning

Dinggang Shen, Weili Lin, Zhenghan Fang, 2020, NeuroImage.

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

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

Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI with Limited and Noisy Annotations

Kim-Han Thung, Siyuan Liu, Dinggang Shen, 2020, IEEE Transactions on Medical Imaging.

Unsupervised Learning for Spherical Surface Registration

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

Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE) pdf

Dinggang Shen, Weili Lin, Ye Wu, 2020, ArXiv.

A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI

Yujie Liu, Han Zhang, Dinggang Shen, 2019, MICCAI.

Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy pdf

Han Zhang, Dinggang Shen, Weili Lin, 2020, ArXiv.

Semi-supervised Transfer Learning for Infant Cerebellum Tissue Segmentation

Sijie Niu, Yue Sun, Kun Gao, 2020, MLMI@MICCAI.

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

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

Measuring Tortuosity of the Intracerebral Vasculature

Guido Gerig, Stephen R. Aylward, Weili Lin, 2003, IEEE Trans. Medical Imaging.

A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation

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

A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy

Zhen Zhou, Dinggang Shen, Zhengwang Wu, 2020, MICCAI.

Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks

Jaeil Kim, Dinggang Shen, Geng Chen, 2020, MICCAI.

Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting"

Qian Zhang, Qian Wang, Mingxia Liu, 2020, IEEE Trans. Medical Imaging.

Intrinsic Patch-Based Cortical Anatomical Parcellation Using Graph Convolutional Neural Network on Surface Manifold

Jing Xia, Dinggang Shen, Zhengwang Wu, 2019, MICCAI.

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

Koji Yamashita, Chunfeng Lian, Dinggang Shen, 2020, NeuroImage.

CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets

Kim-Han Thung, Dinggang Shen, Jian Yang, 2019, GLMI@MICCAI.

Multi-layer Temporal Network Analysis Reveals Increasing Temporal Reachability and Spreadability in the First Two Years of Life

Gang Pan, Han Zhang, Dinggang Shen, 2019, MICCAI.

Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties

Chunfeng Lian, Dinggang Shen, Zhengwang Wu, 2019, MICCAI.

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

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

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

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

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

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

Multi-stage Image Quality Assessment of Diffusion MRI via Semi-supervised Nonlocal Residual Networks

Kim-Han Thung, Pew-Thian Yap, Dinggang Shen, 2019, MICCAI.

Detecting and filtering instant messaging spam - a global and personalized approach

Na Li, Weili Lin, Zhijun Liu, 2005, 1st IEEE ICNP Workshop on Secure Network Protocols, 2005. (NPSec)..

Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network

Feng Cheng, Dinggang Shen, Weili Lin, 2020, MICCAI.

Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information

Yu Meng, Shunren Xia, Dinggang Shen, 2017, MICCAI.

Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles

Dinggang Shen, Weili Lin, Ye Wu, 2020, MICCAI.

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

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

STGP: Spatio-temporal Gaussian process models for longitudinal neuroimaging data

Martin Styner, Chao Huang, Weili Lin, 2016, NeuroImage.

Corrections to "Deep Learning Based Multi-Modal Fusion for Fast MR Reconstruction"

Lei Xiang, Qian Wang, Yiqiang Zhan, 2020, IEEE Trans. Biomed. Eng..

Predicting standard-dose PET image from low-dose PET and multimodal MR images using mapping-based sparse representation

Yan Wang, Pei Zhang, Xi Wu, 2015, MLMI.