| 2025 | MICCAI | Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI. | Xiuyu Dong, Kaibo Tang, Dan Hu, Zhengwang Wu, Li Wang, Weili Lin, Gang Li |
| 2025 | MICCAI | Sparsely Labeled fMRI Data Denoising with Meta-learning-Based Semi-supervised Domain Adaptation. | Keun-Soo Heo, Ji-Wung Han, Soyeon Bak, Minjoo Lim, Bogyeong Kang, Sang-Jun Park, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam |
| 2025 | MICCAI | Dynamic Function-Structure Connectivity Coupling for Predicting Progression Trajectories in Neurocognitive Decline. | Qianqian Wang, Wei Wang, Hong-Jun Li, Weili Lin, Mingxia Liu |
| 2025 | MICCAI | Unpaired Multi-site Brain MRI Harmonization with Image Style-Guided Latent Diffusion. | Mengqi Wu, Minhui Yu, Weili Lin, Pew-Thian Yap, Mingxia Liu |
| 2025 | MICCAI | Distribution-Guided Multi-tracer Brain PET Synthesis from Structural MRI with Class-Conditioned Weighted Diffusion. | Minhui Yu, David S. Lalush, Derek C. Monroe, Kelly S. Giovanello, Weili Lin, Pew-Thian Yap, Jason P. Mihalik, Mingxia Liu |
| 2025 | MICCAI | Continuous Spatio-Temporal Representation with Implicit Neural Networks for Fetal Brain MRI Atlas Construction. | Kai Zhang, Dan Hu, Kaibo Tang, Xiuyu Dong, Shijie Huang, Sheng-Che Hung, He Zhang, Zhengwang Wu, Weili Lin, Dinggang Shen, Gang Li |
| 2024 | MICCAI | Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure. | Jiale Cheng, Zhengwang Wu, Xinrui Yuan, Li Wang, Weili Lin, Karen Grewen, Gang Li |
| 2024 | MICCAI | Cycle-Consistent Learning for Fetal Cortical Surface Reconstruction. | Xiuyu Dong, Zhengwang Wu, Laifa Ma, Ya Wang, Kaibo Tang, He Zhang, Weili Lin, Gang Li |
| 2024 | MICCAI | Development of Effective Connectome from Infancy to Adolescence. | Guoshi Li, Kim-Han Thung, Hoyt Patrick Taylor, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Sahar Ahmad, Pew-Thian Yap |
| 2024 | MICCAI | Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development. | Xinrui Yuan, Jiale Cheng, Dan Hu, Zhengwang Wu, Li Wang, Weili Lin, Gang Li |
| 2023 | MICCAI | Prediction of Infant Cognitive Development with Cortical Surface-Based Multimodal Learning. | Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, Li Wang, Weili Lin, Gang Li |
| 2023 | MICCAI | Path-Based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis. | Ruiyan Fang, Yu Li, Xin Zhang, Shengxian Chen, Jiale Cheng, Xiangmin Xu, Jieling Wu, Weili Lin, Li Wang, Zhengwang Wu, Gang Li |
| 2023 | MICCAI | Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting. | Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik |
| 2023 | MICCAI | 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, Valerie Jewells, Weili Lin, Li Wang, Gang Li |
| 2023 | MICCAI | Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development. | Xinrui Yuan, Jiale Cheng, Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Yu Zhang, Gang Li |
| 2023 | MICCAI | Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization. | Fenqiang Zhao, Zhengwang Wu, Dajiang Zhu, Tianming Liu, John H. Gilmore, Weili Lin, Li Wang, Gang Li |
| 2022 | MICCAI | Harmonization of Multi-site Cortical Data Across the Human Lifespan. | Sahar Ahmad, Fang Nan, Ye Wu, Zhengwang Wu, Weili Lin, Li Wang, Gang Li, Di Wu, Pew-Thian Yap |
| 2022 | MICCAI | Spherical Transformer on Cortical Surfaces. | Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, John H. Gilmore, Li Wang, Weili Lin, Gang Li |
| 2022 | MICCAI | Prediction of HPV-Associated Genetic Diversity for Squamous Cell Carcinoma of Head and Neck Cancer Based on | Yuqi Fang, Jorge Daniel Oldan, Weili Lin, Travis Parke Schrank, Wendell Gray Yarbrough, Natalia Isaeva, Mingxia Liu |
| 2022 | MICCAI | Fast Image-Level MRI Harmonization via Spectrum Analysis. | Hao Guan, Siyuan Liu, Weili Lin, Pew-Thian Yap, Mingxia Liu |
| 2022 | MICCAI | Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network. | Xiaowei Yu, Dan Hu, Lu Zhang, Ying Huang, Zhengwang Wu, Tianming Liu, Li Wang, Weili Lin, Dajiang Zhu, Gang Li |
| 2022 | MICCAI | Fast Spherical Mapping of Cortical Surface Meshes Using Deep Unsupervised Learning. | Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Gang Li |
| 2021 | MICCAI | 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, Weili Lin, Dinggang Shen, Islem Rekik |
| 2021 | MICCAI | 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, Gang Li |
| 2021 | MICCAI | 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, Weili Lin, Gang Li |
| 2021 | MICCAI | Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction. | Yu Li, Jiale Cheng, Xin Zhang, Ruiyan Fang, Lufan Liao, Xinyao Ding, Hao Ni, Xiangmin Xu, Zhengwang Wu, Dan Hu, Weili Lin, Li Wang, John H. Gilmore, Gang Li |
| 2021 | MICCAI | Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation. | Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap |
| 2021 | MICCAI | Multi-scale Self-supervised Learning for Multi-site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts. | Yue Sun, Kun Gao, Weili Lin, Gang Li, Sijie Niu, Li Wang |
| 2021 | MICCAI | A Deep Network for Joint Registration and Parcellation of Cortical Surfaces. | Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Gang Li |
| 2021 | MICCAI | Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks. | Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Gang Li |
| 2020 | MICCAI | Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts. | Sahar Ahmad, Ye Wu, Khoi Minh Huynh, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap |
| 2020 | MICCAI | 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 |
| 2020 | MICCAI | Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks. | Geng Chen, Yoonmi Hong, Yongqin Zhang, Jaeil Kim, Khoi Minh Huynh, Jiquan Ma, Weili Lin, Dinggang Shen, Pew-Thian Yap |
| 2020 | MICCAI | A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation. | Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Zhanhao Mo, Li Wang, Weili Lin, Dinggang Shen, Gang Li |
| 2020 | MICCAI | Construction of Spatiotemporal Infant Cortical Surface Functional Templates. | Ying Huang, Fan Wang, Zhengwang Wu, Zengsi Chen, Han Zhang, Li Wang, Weili Lin, Dinggang Shen, Gang Li |
| 2020 | MICCAI | Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting. | Dan Hu, Fan Wang, Han Zhang, Zhengwang Wu, Li Wang, Weili Lin, Gang Li, Dinggang Shen |
| 2020 | MICCAI | A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. | Mayssa Soussia, Xuyun Wen, Zhen Zhou, Bing Jin, Tae-Eui Kam, Li-Ming Hsu, Zhengwang Wu, Gang Li, Li Wang, Islem Rekik, Weili Lin, Dinggang Shen, Han Zhang |
| 2020 | MICCAI | Semi-supervised Transfer Learning for Infant Cerebellum Tissue Segmentation. | Yue Sun, Kun Gao, Sijie Niu, Weili Lin, Gang Li, Li Wang |
| 2020 | MICCAI | Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity. | Ye Wu, Yoonmi Hong, Sahar Ahmad, Wei-Tang Chang, Weili Lin, Dinggang Shen, Pew-Thian Yap |
| 2020 | MICCAI | Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles. | Ye Wu, Yoonmi Hong, Sahar Ahmad, Weili Lin, Dinggang Shen, Pew-Thian Yap |
| 2020 | MICCAI | Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features. | Xin Zhang, Jiale Cheng, Hao Ni, Chenyang Li, Xiangmin Xu, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li |
| 2020 | MICCAI | Unsupervised Learning for Spherical Surface Registration. | Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Li |
| 2019 | MICCAI | Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain. | Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen |
| 2019 | MICCAI | Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance. | Toan Duc Bui, Li Wang, Jian Chen, Weili Lin, Gang Li, Dinggang Shen |
| 2019 | MICCAI | CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets. | Jian Chen, Zhenghan Fang, Deqiang Xiao, Duc Toan Bui, Kim-Han Thung, Xianjun Li, Jian Yang, Weili Lin, Gang Li, Dinggang Shen, Li Wang |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection. | Olfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik |
| 2019 | MICCAI | Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction. | Dan Hu, Han Zhang, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen |
| 2019 | MICCAI | Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments. | Khoi Minh Huynh, Tiantian Xu, Ye Wu, Geng Chen, Kim-Han Thung, Haiyong Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap |
| 2019 | MICCAI | Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments. | Khoi Minh Huynh, Tiantian Xu, Ye Wu, Kim-Han Thung, Geng Chen, Weili Lin, Dinggang Shen, Pew-Thian Yap |
| 2019 | MICCAI | 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, Yujie Liu, Koji Yamashita, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen |
| 2019 | MICCAI | Multi-stage Image Quality Assessment of Diffusion MRI via Semi-supervised Nonlocal Residual Networks. | Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen |
| 2019 | MICCAI | Semi-supervised VAE-GAN for Out-of-Sample Detection Applied to MRI Quality Control. | Mahmoud Mostapha, Juan Prieto, Veronica Murphy, Jessica B. Girault, Mark Foster, Ashley Rumple, Joseph Blocher, Weili Lin, Jed T. Elison, John H. Gilmore, Steven M. Pizer, Martin Styner |
| 2019 | MICCAI | Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties. | Fan Wang, Chunfeng Lian, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li |
| 2019 | MICCAI | Intrinsic Patch-Based Cortical Anatomical Parcellation Using Graph Convolutional Neural Network on Surface Manifold. | Zhengwang Wu, Fenqiang Zhao, Jing Xia, Li Wang, Weili Lin, John H. Gilmore, Gang Li, Dinggang Shen |
| 2019 | MICCAI | Harmonization of Infant Cortical Thickness Using Surface-to-Surface Cycle-Consistent Adversarial Networks. | Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Li |
| 2019 | MICCAI | Multi-layer Temporal Network Analysis Reveals Increasing Temporal Reachability and Spreadability in the First Two Years of Life. | Zhen Zhou, Han Zhang, Li-Ming Hsu, Weili Lin, Gang Pan, Dinggang Shen |
| 2018 | MICCAI | Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network. | Jiawei Chen, Han Zhang, Dong Nie, Li Wang, Gang Li, Weili Lin, Dinggang Shen |
| 2018 | MICCAI | Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF). | Zhenghan Fang, Yong Chen, Mingxia Liu, Yiqiang Zhan, Weili Lin, Dinggang Shen |
| 2018 | MICCAI | Enhancement of Perivascular Spaces Using a Very Deep 3D Dense Network. | Euijin Jung, Xiaopeng Zong, Weili Lin, Dinggang Shen, Sanghyun Park |
| 2018 | MICCAI | Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development? | Islem Rekik, Gang Li, Weili Lin, Dinggang Shen |
| 2018 | MICCAI | Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net. | Liang Sun, Daoqiang Zhang, Li Wang, Wei Shao, Zengsi Chen, Weili Lin, Dinggang Shen, Gang Li |
| 2018 | MICCAI | Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis. | Li Wang, Gang Li, Feng Shi, Xiaohuan Cao, Chunfeng Lian, Dong Nie, Mingxia Liu, Han Zhang, Guannan Li, Zhengwang Wu, Weili Lin, Dinggang Shen |
| 2018 | MICCAI | Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis. | Yan Wang, Luping Zhou, Lei Wang, Biting Yu, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen |
| 2018 | MICCAI | Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks. | Zhengwang Wu, Gang Li, Li Wang, Feng Shi, Weili Lin, John H. Gilmore, Dinggang Shen |
| 2018 | MICCAI | Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information. | Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen |
| 2018 | MICCAI | Unpaired Deep Cross-Modality Synthesis with Fast Training. | Lei Xiang, Yang Li, Weili Lin, Qian Wang, Dinggang Shen |
| 2018 | MICCAI | Multi-layer Large-Scale Functional Connectome Reveals Infant Brain Developmental Patterns. | Han Zhang, Natalie Stanley, Peter J. Mucha, Weiyan Yin, Weili Lin, Dinggang Shen |
| 2017 | MICCAI | Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data. | Ehsan Adeli, Yu Meng, Gang Li, Weili Lin, Dinggang Shen |
| 2017 | MICCAI | Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information. | Dingna Duan, Shunren Xia, Yu Meng, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li |
| 2017 | MICCAI | Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases. | Jaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen |
| 2017 | MICCAI | Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface. | Gang Li, Li Wang, Weili Lin, Dinggang Shen |
| 2017 | MICCAI | 4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation. | Zhengwang Wu, Gang Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen |
| 2017 | MICCAI | Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity. | Junyi Yan, Yu Meng, Gang Li, Weili Lin, Dazhe Zhao, Dinggang Shen |
| 2017 | MICCAI | Early Brain Functional Segregation and Integration Predict Later Cognitive Performance. | Han Zhang, Weiyan Yin, Weili Lin, Dinggang Shen |
| 2016 | MICCAI | Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces Using Large-Scale Dataset. | Yu Meng, Gang Li, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen |
| 2016 | MICCAI | A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data. | Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen |
| 2016 | MICCAI | LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images. | Li Wang, Yaozong Gao, Gang Li, Feng Shi, Weili Lin, Dinggang Shen |
| 2016 | MICCAI | Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image. | Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen |
| 2015 | MICCAI | A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation. | Le An, Pei Zhang, Ehsan Adeli-Mosabbeb, Yan Wang, Guangkai Ma, Feng Shi, David S. Lalush, Weili Lin, Dinggang Shen |
| 2015 | MICCAI | Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data. | Yanrong Guo, Guorong Wu, Pew-Thian Yap, Valerie Jewells, Weili Lin, Dinggang Shen |
| 2015 | MICCAI | Parcellation of Infant Surface Atlas Using Developmental Trajectories of Multidimensional Cortical Attributes. | Gang Li, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen |
| 2015 | MICCAI | Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains. | Yu Meng, Gang Li, Yaozong Gao, John H. Gilmore, Weili Lin, Dinggang Shen |
| 2015 | MICCAI | Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study. | Yu Meng, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen |
| 2015 | MICCAI | Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold Representation. | Islem Rekik, Gang Li, Weili Lin, Dinggang Shen |
| 2015 | MICCAI | Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework. | Islem Rekik, Gang Li, Guorong Wu, Weili Lin, Dinggang Shen |
| 2015 | MICCAI | Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis. | Li Wang, Feng Shi, Yaozong Gao, Gang Li, Weili Lin, Dinggang Shen |
| 2015 | MICCAI | Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse Representation. | Yan Wang, Pei Zhang, Le An, Guangkai Ma, Jiayin Kang, Xi Wu, Jiliu Zhou, David S. Lalush, Weili Lin, Dinggang Shen |
| 2014 | MICCAI | LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images. | Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen |
| 2014 | MICCAI | Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features. | Yanrong Guo, Guorong Wu, Leah A. Commander, Stephanie Szary, Valerie Jewells, Weili Lin, Dinggang Shen |
| 2014 | MICCAI | Prediction of Standard-Dose PET Image by Low-Dose PET and MRI Images. | Jiayin Kang, Yaozong Gao, Yao Wu, Guangkai Ma, Feng Shi, Weili Lin, Dinggang Shen |
| 2014 | MICCAI | Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex. | Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen |
| 2014 | MICCAI | Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development. | Qian Wang, Guorong Wu, Li Wang, Pengfei Shi, Weili Lin, Dinggang Shen |
| 2014 | MICCAI | Joint Segmentation and Registration for Infant Brain Images. | Guorong Wu, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen |
| 2013 | MICCAI | 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 |
| 2013 | MICCAI | Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants. | Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen |
| 2013 | MICCAI | Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation. | Li Wang, Feng Shi, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen |
| 2012 | MICCAI | Atlas Construction via Dictionary Learning and Group Sparsity. | Feng Shi, Li Wang, Guorong Wu, Yu Zhang, Manhua Liu, John H. Gilmore, Weili Lin, Dinggang Shen |
| 2011 | MICCAI | Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data. | Yimei Li, John H. Gilmore, Jiaping Wang, Martin Styner, Weili Lin, Hongtu Zhu |
| 2011 | MICCAI | Learning-Based Meta-Algorithm for MRI Brain Extraction. | Feng Shi, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen |
| 2011 | MICCAI | Accurate and Consistent 4D Segmentation of Serial Infant Brain MR Images. | Li Wang, Feng Shi, Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen |
| 2011 | MICCAI | Adaptively and Spatially Estimating the Hemodynamic Response Functions in fMRI. | Jiaping Wang, Hongtu Zhu, Jianqing Fan, Kelly S. Giovanello, Weili Lin |
| 2011 | MICCAI | Longitudinal Tractography with Application to Neuronal Fiber Trajectory Reconstruction in Neonates. | Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen |
| 2011 | MICCAI | Reconstruction of Fiber Trajectories via Population-Based Estimation of Local Orientations. | Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen |
| 2010 | MICCAI | 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 |
| 2010 | MICCAI | Multivariate Network-Level Approach to Detect Interactions between Large-Scale Functional Systems. | Wei Gao, Hongtu Zhu, Kelly S. Giovanello, Weili Lin |
| 2010 | MICCAI | The Alzheimer's Disease Neuroimaging Initiative: Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study. | Yang Li, Yaping Wang, Zhong Xue, Feng Shi, Weili Lin, Dinggang Shen |
| 2010 | MICCAI | 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 |
| 2009 | CVPR | Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil. | Feng Shi, Pew-Thian Yap, Yong Fan, Jie-Zhi Cheng, Lawrence L. Wald, Guido Gerig, Weili Lin, Dinggang Shen |
| 2009 | CVPR | Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters. | Songyuan Tang, Yong Fan, Hongtu Zhu, Pew-Thian Yap, Wei Gao, Weili Lin, Dinggang Shen |
| 2009 | CVPR | TIMER: Tensor Image Morphing for Elastic Registration. | Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen |
| 2009 | MICCAI | 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 |
| 2009 | MICCAI | 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 |
| 2009 | MICCAI | Intrinsic Regression Models for Manifold-Valued Data. | Xiaoyan Shi, Martin Styner, Jeffrey A. Lieberman, Joseph G. Ibrahim, Weili Lin, Hongtu Zhu |
| 2009 | MICCAI | Fast Tensor Image Morphing for Elastic Registration. | Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen |
| 2007 | MICCAI | Quantification of Measurement Error in DTI: Theoretical Predictions and Validation. | Casey Goodlett, P. Thomas Fletcher, Weili Lin, Guido Gerig |
| 2005 | ICASSP | An independent component analysis approach to perfusion weighted imaging. | Yang Wu, Hamid Krim, Hongyu An, Weili Lin |
| 2004 | MICCAI | 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 |
| 2004 | MICCAI | Automatic Segmentation of Neonatal Brain MRI. | Marcel Prastawa, John H. Gilmore, Weili Lin, Guido Gerig |
| 2003 | MICCAI | Vascular Attributes and Malignant Brain Tumors. | Elizabeth Bullitt, Guido Gerig, Stephen R. Aylward, Sarang C. Joshi, J. Keith Smith, Matthew G. Ewend, Weili Lin |
| 2003 | MICCAI | Quantitative Analysis of White Matter Fiber Properties along Geodesic Paths. | Pierre Fillard, John H. Gilmore, Joseph Piven, Weili Lin, Guido Gerig |
| 2003 | MICCAI | Assessing Early Brain Development in Neonates by Segmentation of High-Resolution 3T MRI. | Guido Gerig, Marcel Prastawa, Weili Lin, John H. Gilmore |