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2020 – today
- 2024
[j103]Fenqiang Zhao, Zhengwang Wu, Li Wang
, Weili Lin, Gang Li:
Longitudinally consistent registration and parcellation of cortical surfaces using semi-supervised learning. Medical Image Anal. 96: 103193 (2024)- [j102]Yuqi Fang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Ming-Xia Liu:
Source-free unsupervised domain adaptation: A survey. Neural Networks 174: 106230 (2024) - [j101]Minjoo Lim, Keun-Soo Heo, Jun-Mo Kim, Bogyeong Kang, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam:
A Unified Multi-Modality Fusion Framework for Deep Spatio-Spectral-Temporal Feature Learning in Resting-State fMRI Denoising. IEEE J. Biomed. Health Informatics 28(4): 2067-2078 (2024) - [c158]Ying Huang, Zhengwang Wu, Ya Wang, Tengfei Li, Xifeng Wang, Hongtu Zhu, Weili Lin, Li Wang, Jun Feng, John H. Gilmore, Gang Li:
Revealing Fine-grained Genetically Informed Cortical Parcellation Maps of Neonates Based on Multi-view Spectral Clustering. EMBC 2024: 1-4 - [c157]Laifa Ma, Weili Lin, He Zhang, Gang Li:
Automated Fetal Brain Volume Reconstruction from Motion-Corrupted Stacks with Deep Learning. ISBI 2024: 1-5 - [c156]Kaibo Tang, Liangjun Chen, Zhengwang Wu, Fenqiang Zhao, Ya Wang, Weili Lin, Li Wang, Gang Li:
Generation of Anatomy-Realistic 4d Infant Brain Atlases with Tissue Maps Using Generative Adversarial Networks. ISBI 2024: 1-5 - [c155]Jiale Cheng, Zhengwang Wu, Xinrui Yuan, Li Wang, Weili Lin, Karen Grewen, Gang Li:
Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure. MICCAI (12) 2024: 67-76 - [c154]Guoshi Li, Kim-Han Thung, Hoyt Patrick Taylor, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Sahar Ahmad, Pew-Thian Yap:
Development of Effective Connectome from Infancy to Adolescence. MICCAI (3) 2024: 131-140 - [c153]Xiuyu Dong, Zhengwang Wu, Laifa Ma, Ya Wang, Kaibo Tang, He Zhang, Weili Lin, Gang Li:
Cycle-Consistent Learning for Fetal Cortical Surface Reconstruction. MICCAI (7) 2024: 212-222 - [c152]Xinrui Yuan, Jiale Cheng, Dan Hu, Zhengwang Wu, Li Wang, Weili Lin, Gang Li:
Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development. MICCAI (5) 2024: 447-457 - [i11]Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data. CoRR abs/2401.01383 (2024) - 2023
- [j100]Liangjun Chen, Zhengwang Wu, Fenqiang Zhao, Ya Wang, Weili Lin, Li Wang, Gang Li:
An attention-based context-informed deep framework for infant brain subcortical segmentation. NeuroImage 269: 119931 (2023) - [j99]Yunzhi Huang, Sahar Ahmad, Luyi Han, Shuai Wang, Zhengwang Wu, Weili Lin, Gang Li, Li Wang, Pew-Thian Yap:
Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network. Pattern Recognit. 143: 109715 (2023) - [c151]Jiale Cheng, Fenqiang Zhao, Zhengwang Wu, Ya Wang, Xinrui Yuan, Yue Sun, Weili Lin, Li Wang, Xin Zhang, Gang Li:
Deformable Spherical Transformer for Cerebellar Surface Parcellation. ISBI 2023: 1-5 - [c150]Laifa Ma, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, He Zhang, Kenli Li, Gang Li:
Geometric Constrained Deep Learning for Motion Correction of Fetal Brain Mr Images. ISBI 2023: 1-5 - [c149]Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting. PRIME@MICCAI 2023: 120-133 - [c148]Ruiyan Fang, Yu Li, Xin Zhang, Shengxian Chen, Jiale Cheng, Xiangmin Xu, Jieling Wu, Weili Lin, Li Wang, Zhengwang Wu, Gang Li:
Path-Based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis. MICCAI (8) 2023: 328-337 - [c147]Fenqiang Zhao, Zhengwang Wu, Dajiang Zhu, Tianming Liu, John H. Gilmore, Weili Lin, Li Wang, Gang Li:
Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization. MICCAI (8) 2023: 369-379 - [c146]Zhengwang Wu, Jiale Cheng, Fenqiang Zhao, Ya Wang, Yue Sun, Dajiang Zhu, Tianming Liu, Valerie Jewells, Weili Lin, Li Wang, Gang Li:
Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning. MICCAI (8) 2023: 429-438 - [c145]Xinrui Yuan, Jiale Cheng, Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Yu Zhang, Gang Li:
Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development. MICCAI (9) 2023: 545-554 - [c144]Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, Li Wang, Weili Lin, Gang Li:
Prediction of Infant Cognitive Development with Cortical Surface-Based Multimodal Learning. MICCAI (2) 2023: 618-627 - [c143]Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu:
Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation. MLMI@MICCAI (1) 2023: 1-11 - [i10]Yuqi Fang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu:
Source-Free Unsupervised Domain Adaptation: A Survey. CoRR abs/2301.00265 (2023) - 2022
- [j98]Tiantian Xu, Ye Wu, Yoonmi Hong, Sahar Ahmad, Khoi Minh Huynh, Zhixing Wang, Weili Lin, Wei-Tang Chang, Pew-Thian Yap:
Rapid Diffusion Magnetic Resonance Imaging Using Slice-Interleaved Encoding. Medical Image Anal. 81: 102548 (2022) - [j97]Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Fenqiang Zhao, Tao Zhong, Weili Lin, Li Wang, Gang Li:
A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort. NeuroImage 253: 119097 (2022) - [j96]Keun-Soo Heo, Dong-Hee Shin, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam:
Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising. NeuroImage 254: 119127 (2022) - [j95]Dongming Wei, Sahar Ahmad, Yuyu Guo, Liyun Chen, Yunzhi Huang, Lei Ma, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen, Qian Wang:
Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images. IEEE Trans. Medical Imaging 41(5): 1219-1229 (2022) - [j94]Jiale Cheng, Xin Zhang, Hao Ni, Chenyang Li, Xiangmin Xu, Zhengwang Wu, Li Wang, Weili Lin, Gang Li:
Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores. IEEE Trans. Medical Imaging 41(7): 1665-1676 (2022) - [j93]Yu Li, Xin Zhang, Jingxin Nie, Guowei Zhang, Ruiyan Fang, Xiangmin Xu, Zhengwang Wu, Dan Hu, Li Wang, Han Zhang, Weili Lin, Gang Li:
Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction. IEEE Trans. Medical Imaging 41(10): 2764-2776 (2022) - [c142]Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Ya Wang, Ying Huang, Weili Lin, Li Wang, Gang Li:
Spherical Transformer for Quality Assessment of Pediatric Cortical Surfaces. ISBI 2022: 1-5 - [c141]Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Gang Li:
Fast Spherical Mapping of Cortical Surface Meshes Using Deep Unsupervised Learning. MICCAI (6) 2022: 163-173 - [c140]Hao Guan, Siyuan Liu, Weili Lin, Pew-Thian Yap, Mingxia Liu:
Fast Image-Level MRI Harmonization via Spectrum Analysis. MLMI@MICCAI 2022: 201-209 - [c139]Sahar Ahmad, Fang Nan, Ye Wu, Zhengwang Wu, Weili Lin, Li Wang, Gang Li, Di Wu, Pew-Thian Yap:
Harmonization of Multi-site Cortical Data Across the Human Lifespan. MLMI@MICCAI 2022: 220-229 - [c138]Xiaowei Yu, Dan Hu, Lu Zhang, Ying Huang, Zhengwang Wu, Tianming Liu, Li Wang, Weili Lin, Dajiang Zhu, Gang Li:
Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network. MICCAI (8) 2022: 255-264 - [c137]Yuqi Fang, Jorge Daniel Oldan, Weili Lin, Travis Parke Schrank, Wendell Gray Yarbrough, Natalia Isaeva, Mingxia Liu:
Prediction of HPV-Associated Genetic Diversity for Squamous Cell Carcinoma of Head and Neck Cancer Based on 18F-FDG PET/CT. MLMI@MICCAI 2022: 358-366 - [c136]Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, John H. Gilmore, Li Wang, Weili Lin, Gang Li:
Spherical Transformer on Cortical Surfaces. MLMI@MICCAI 2022: 406-415 - [i9]Yunzhi Huang, Sahar Ahmad, Luyi Han, Shuai Wang, Zhengwang Wu, Weili Lin, Gang Li, Li Wang, Pew-Thian Yap:
Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network. CoRR abs/2208.04825 (2022) - 2021
- [j92]Jian Chen, Yue Sun, Zhenghan Fang, Weili Lin, Gang Li, Li Wang:
Harmonized neonatal brain MR image segmentation model for cross-site datasets. Biomed. Signal Process. Control. 69: 102810 (2021) - [j91]Olfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint. Medical Image Anal. 68: 101853 (2021) - [j90]Liangjun Chen, Zhengwang Wu, Dan Hu, Fan Wang, J. Keith Smith, Weili Lin, Li Wang, Dinggang Shen, Gang Li:
ABCnet: Adversarial bias correction network for infant brain MR images. Medical Image Anal. 72: 102133 (2021) - [j89]Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Learning MRI artefact removal with unpaired data. Nat. Mach. Intell. 3(1): 60-67 (2021) - [j88]Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Publisher Correction: Learning MRI artefact removal with unpaired data. Nat. Mach. Intell. 3(2): 181 (2021) - [j87]Mackenzie Woodburn, Cheyenne L. Bricken, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Margaret A. Sheridan, Jessica R. Cohen:
The maturation and cognitive relevance of structural brain network organization from early infancy to childhood. NeuroImage 238: 118232 (2021) - [j86]Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Shunren Xia, Dinggang Shen, Gang Li:
Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction. IEEE Trans. Medical Imaging 40(4): 1217-1228 (2021) - [j85]Yue Sun, Kun Gao, Zhengwang Wu, Guannan Li, Xiaopeng Zong, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett A. Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Dinggang Shen, Gang Li, Li Wang:
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. IEEE Trans. Medical Imaging 40(5): 1363-1376 (2021) - [j84]Fenqiang Zhao, Zhengwang Wu, Fan Wang, Weili Lin, Shunren Xia, Dinggang Shen, Li Wang, Gang Li:
S3Reg: Superfast Spherical Surface Registration Based on Deep Learning. IEEE Trans. Medical Imaging 40(8): 1964-1976 (2021) - [c135]Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint. PRIME@MICCAI 2021: 11-24 - [c134]Liangjun Chen, Zhengwang Wu, Dan Hu, Yuchen Pei, Fenqiang Zhao, Yue Sun, Ya Wang, Weili Lin, Li Wang, Gang Li:
Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases Based on Deep Learning. MICCAI (4) 2021: 139-149 - [c133]Yue Sun, Kun Gao, Weili Lin, Gang Li, Sijie Niu, Li Wang:
Multi-scale Self-supervised Learning for Multi-site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts. MLMI@MICCAI 2021: 171-179 - [c132]Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Gang Li:
A Deep Network for Joint Registration and Parcellation of Cortical Surfaces. MICCAI (4) 2021: 171-181 - [c131]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:
Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction. MLMI@MICCAI 2021: 228-237 - [c130]Dan Hu, Weiyan Yin, Zhengwang Wu, Liangjun Chen, Li Wang, Weili Lin, Gang Li:
Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction. MICCAI (3) 2021: 231-240 - [c129]Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Gang Li:
Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks. MICCAI (2) 2021: 262-272 - [c128]Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap:
Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation. MICCAI (7) 2021: 381-389 - [i8]Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint. CoRR abs/2110.03535 (2021) - [i7]Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Learning MRI Artifact Removal With Unpaired Data. CoRR abs/2110.04604 (2021) - 2020
- [j83]Yong Chen, Zhenghan Fang, Sheng-Che Hung, Weitang Chang, Dinggang Shen, Weili Lin:
High-resolution 3D MR Fingerprinting using parallel imaging and deep learning. NeuroImage 206 (2020) - [j82]Xiaopeng Zong, Chunfeng Lian, Jordan Jimenez, Koji Yamashita, Dinggang Shen, Weili Lin:
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 218: 116978 (2020) - [j81]Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen:
Corrections to "Deep Learning Based Multi-Modal Fusion for Fast MR Reconstruction". IEEE Trans. Biomed. Eng. 67(9): 2705 (2020) - [j80]Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks. IEEE Trans. Image Process. 29: 7697-7706 (2020) - [j79]Dan Hu, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen:
Hierarchical Rough-to-Fine Model for Infant Age Prediction Based on Cortical Features. IEEE J. Biomed. Health Informatics 24(1): 214-225 (2020) - [j78]Zhenghan Fang, Yong Chen, Mingxia Liu, Lei Xiang, Qian Zhang, Qian Wang, Weili Lin, Dinggang Shen:
Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting". IEEE Trans. Medical Imaging 39(2): 543 (2020) - [j77]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging. IEEE Trans. Medical Imaging 39(11): 3607-3618 (2020) - [j76]Siyuan Liu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy Annotations. IEEE Trans. Medical Imaging 39(11): 3691-3702 (2020) - [j75]Dan Hu, Han Zhang, Zhengwang Wu, Fan Wang, Li Wang, J. Keith Smith, Weili Lin, Gang Li, Dinggang Shen:
Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages. IEEE Trans. Medical Imaging 39(12): 4137-4149 (2020) - [c127]Toan Duc Bui, Li Wang, Weili Lin, Gang Li, Dinggang Shen:
6-Month Infant Brain Mri Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial Networks. ISBI 2020: 359-362 - [c126]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:
A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. MICCAI (7) 2020: 13-21 - [c125]Sahar Ahmad, Ye Wu, Khoi Minh Huynh, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts. MICCAI (2) 2020: 34-43 - [c124]Dan Hu, Fan Wang, Han Zhang, Zhengwang Wu, Li Wang, Weili Lin, Gang Li, Dinggang Shen:
Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting. MICCAI (7) 2020: 72-82 - [c123]Xin Zhang, Jiale Cheng, Hao Ni, Chenyang Li, Xiangmin Xu, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li:
Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features. MICCAI (7) 2020: 134-144 - [c122]Feng Cheng, Yong Chen, Xiaopeng Zong, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network. MICCAI (2) 2020: 158-166 - [c121]Ying Huang, Fan Wang, Zhengwang Wu, Zengsi Chen, Han Zhang, Li Wang, Weili Lin, Dinggang Shen, Gang Li:
Construction of Spatiotemporal Infant Cortical Surface Functional Templates. MICCAI (7) 2020: 238-248 - [c120]Ye Wu, Yoonmi Hong, Sahar Ahmad, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles. MICCAI (7) 2020: 251-259 - [c119]Ye Wu, Yoonmi Hong, Sahar Ahmad, Wei-Tang Chang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity. MICCAI (7) 2020: 260-269 - [c118]Geng Chen, Yoonmi Hong, Yongqin Zhang, Jaeil Kim, Khoi Minh Huynh, Jiquan Ma, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks. MICCAI (7) 2020: 280-290 - [c117]Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Li:
Unsupervised Learning for Spherical Surface Registration. MLMI@MICCAI 2020: 373-383 - [c116]Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Zhanhao Mo, Li Wang, Weili Lin, Dinggang Shen, Gang Li:
A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation. MICCAI (7) 2020: 646-656 - [c115]Yue Sun, Kun Gao, Sijie Niu, Weili Lin, Gang Li, Li Wang:
Semi-supervised Transfer Learning for Infant Cerebellum Tissue Segmentation. MLMI@MICCAI 2020: 663-673 - [d5]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
24 shells diffusion MRI. Version 1. Zenodo, 2020 [all versions]
- [d4]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
24-shell diffusion MRI data. Version 2. Zenodo, 2020 [all versions] - [d3]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
24-shell diffusion MRI data. Version 3. Zenodo, 2020 [all versions] - [d2]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Xifeng Wang, Geng Chen, Haiyong Wu, Kim-Han Thung, Weili Lin, Dinggang Shen, Pew-Thian Yap:
24-shell diffusion MRI data. Version 4. Zenodo, 2020 [all versions] - [d1]Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Code used in article "Learning MRI artefact removal with unpaired data". Zenodo, 2020 - [i6]Yoonmi Hong, Wei-Tang Chang, Geng Chen, Ye Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE). CoRR abs/2002.10908 (2020) - [i5]Yue Sun, Kun Gao, Zhengwang Wu, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett A. Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Gang Li, Dinggang Shen, Li Wang:
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. CoRR abs/2007.02096 (2020) - [i4]Xuyun Wen, Li-Ming Hsu, Weili Lin, Han Zhang, Dinggang Shen:
Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy. CoRR abs/2009.06899 (2020)
2010 – 2019
- 2019
- [j74]Euijin Jung, Philip Chikontwe, Xiaopeng Zong, Weili Lin, Dinggang Shen, Sang Hyun Park:
Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network. IEEE Access 7: 18382-18391 (2019) - [j73]Yeqin Shao, Jaeil Kim, Yaozong Gao, Qian Wang, Weili Lin, Dinggang Shen:
Hippocampal Segmentation From Longitudinal Infant Brain MR Images via Classification-Guided Boundary Regression. IEEE Access 7: 33728-33740 (2019) - [j72]Hancan Zhu, Feng Shi, Li Wang, Sheng-Che Hung, Meng-Hsiang Chen, Shuai Wang, Weili Lin, Dinggang Shen:
Dilated Dense U-Net for Infant Hippocampus Subfield Segmentation. Frontiers Neuroinformatics 13: 30 (2019) - [j71]Yongqin Zhang, Pew-Thian Yap, Geng Chen, Weili Lin, Li Wang, Dinggang Shen:
Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation. Medical Image Anal. 55: 76-87 (2019) - [j70]Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
XQ-SR: Joint x-q space super-resolution with application to infant diffusion MRI. Medical Image Anal. 57: 44-55 (2019) - [j69]Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Surface-constrained volumetric registration for the early developing brain. Medical Image Anal. 58 (2019) - [j68]Xuyun Wen, Han Zhang, Gang Li, Mingxia Liu, Weiyan Yin, Weili Lin, Jun Zhang, Dinggang Shen:
First-year development of modules and hubs in infant brain functional networks. NeuroImage 185: 222-235 (2019) - [j67]Dingna Duan, Shunren Xia, Islem Rekik, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications. NeuroImage 185: 575-592 (2019) - [j66]Han Zhang, Dinggang Shen, Weili Lin:
Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts. NeuroImage 185: 664-684 (2019) - [j65]Ehsan Adeli, Yu Meng, Gang Li, Weili Lin, Dinggang Shen:
Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data. NeuroImage 185: 783-792 (2019) - [j64]Wei Gao, Karen Grewen, Rebecca C. Knickmeyer, Anqi Qiu, Andrew P. Salzwedel, Weili Lin, John H. Gilmore:
A review on neuroimaging studies of genetic and environmental influences on early brain development. NeuroImage 185: 802-812 (2019) - [j63]Brittany R. Howell, Martin A. Styner, Wei Gao, Pew-Thian Yap, Li Wang, Kristine Baluyot, Essa Yacoub, Geng Chen, Taylor Potts, Andrew P. Salzwedel, Gang Li, John H. Gilmore, Joseph Piven, J. Keith Smith, Dinggang Shen, Kâmil Ugurbil, Hongtu Zhu, Weili Lin, Jed T. Elison:
The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development. NeuroImage 185: 891-905 (2019) - [j62]Gang Li, Li Wang, Pew-Thian Yap, Fan Wang, Zhengwang Wu, Yu Meng, Pei Dong, Jaeil Kim, Feng Shi, Islem Rekik, Weili Lin, Dinggang Shen:
Computational neuroanatomy of baby brains: A review. NeuroImage 185: 906-925 (2019) - [j61]Yong Chen, Meng-Hsiang Chen, Kristine Baluyot, Taylor Potts, Jordan Jimenez, Weili Lin:
MR fingerprinting enables quantitative measures of brain tissue relaxation times and myelin water fraction in the first five years of life. NeuroImage 186: 782-793 (2019) - [j60]Weiyan Yin, Meng-Hsiang Chen, Sheng-Che Hung, Kristine Baluyot, Tengfei Li, Weili Lin:
Brain functional development separates into three distinct time periods in the first two years of life. NeuroImage 189: 715-726 (2019) - [j59]Xiaopeng Zong, Weili Lin:
Quantitative phase contrast MRI of penetrating arteries in centrum semiovale at 7T. NeuroImage 195: 463-474 (2019) - [j58]Liang Sun, Daoqiang Zhang, Chunfeng Lian, Li Wang, Zhengwang Wu, Wei Shao, Weili Lin, Dinggang Shen, Gang Li:
Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network. NeuroImage 198: 114-124 (2019) - [j57]Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen:
Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction. IEEE Trans. Biomed. Eng. 66(7): 2105-2114 (2019) - [j56]Dong Nie, Li Wang, Ehsan Adeli, Cuijin Lao, Weili Lin, Dinggang Shen:
3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation. IEEE Trans. Cybern. 49(3): 1123-1136 (2019) - [j55]Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen:
Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning. IEEE Trans. Medical Imaging 38(4): 909-918 (2019) - [j54]Yan Wang, Luping Zhou, Biting Yu, Lei Wang, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen:
3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis. IEEE Trans. Medical Imaging 38(6): 1328-1339 (2019) - [j53]Li Wang, Dong Nie, Guannan Li, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jiawei Chen, Kim-Han Thung, Toan Duc Bui, Jitae Shin, Guodong Zeng, Guoyan Zheng, Vladimir S. Fonov, Andrew Doyle, Yongchao Xu, Pim Moeskops, Josien P. W. Pluim, Christian Desrosiers, Ismail Ben Ayed, Gerard Sanroma, Oualid M. Benkarim, Adrià Casamitjana, Verónica Vilaplana, Weili Lin, Gang Li, Dinggang Shen:
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Trans. Medical Imaging 38(9): 2219-2230 (2019) - [j52]Zhenghan Fang, Yong Chen, Mingxia Liu, Lei Xiang, Qian Zhang, Qian Wang, Weili Lin, Dinggang Shen:
Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting. IEEE Trans. Medical Imaging 38(10): 2375-2388 (2019) - [j51]Yoonmi Hong, Jaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks. IEEE Trans. Medical Imaging 38(12): 2717-2725 (2019) - [j50]Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space. IEEE Trans. Medical Imaging 38(12): 2838-2848 (2019) - [c114]Ye Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Asymmetry Spectrum Imaging for Baby Diffusion Tractography. IPMI 2019: 319-331 - [c113]Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Dingna Duan, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Spherical U-Net on Cortical Surfaces: Methods and Applications. IPMI 2019: 855-866 - [c112]Dingna Duan, Shunren Xia, Zhengwang Wu, Fan Wang, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Cortical Foldingprints for Infant Identification. ISBI 2019: 396-399 - [c111]Jing Xia, Fan Wang, Zhengwang Wu, Li Wang, Yaping Wang, Caiming Zhang, Weili Lin, Dinggang Shen, Gang Li:
Charting Development-Based Joint Parcellation Maps Of Human and Macaque Brains During Infancy. ISBI 2019: 422-425 - [c110]Zengsi Chen, Zhengwang Wu, Liang Sun, Fan Wang, Li Wang, Fenqiang Zhao, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Construction of 4D Neonatal Cortical Surface Atlases Using Wasserstein Distance. ISBI 2019: 995-998 - [c109]Qian Zhang, Li Wang, Xiaopeng Zong, Weili Lin, Gang Li, Dinggang Shen:
Frnet: Flattened Residual Network for Infant MRI Skull Stripping. ISBI 2019: 999-1002 - [c108]Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Li Wang, Zengsi Chen, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Spherical U-Net For Infant Cortical Surface Parcellation. ISBI 2019: 1882-1886 - [c107]Olfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection. PRIME@MICCAI 2019: 63-72 - [c106]Zhenghan Fang, Yong Chen, Dong Nie, Weili Lin, Dinggang Shen:
RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting. MICCAI (3) 2019: 101-109 - [c105]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:
Semi-supervised VAE-GAN for Out-of-Sample Detection Applied to MRI Quality Control. MICCAI (3) 2019: 127-136 - [c104]Dan Hu, Han Zhang, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen:
Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction. MICCAI (4) 2019: 149-157 - [c103]Jian Chen, Zhenghan Fang, Deqiang Xiao, Duc Toan Bui, Kim-Han Thung, Xianjun Li, Jian Yang, Weili Lin, Gang Li, Dinggang Shen, Li Wang:
CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets. GLMI@MICCAI 2019: 172-179 - [c102]Toan Duc Bui, Li Wang, Jian Chen, Weili Lin, Gang Li, Dinggang Shen:
Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance. DART/MIL3ID@MICCAI 2019: 243-251 - [c101]Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Li:
Harmonization of Infant Cortical Thickness Using Surface-to-Surface Cycle-Consistent Adversarial Networks. MICCAI (4) 2019: 475-483 - [c100]Zhengwang Wu, Fenqiang Zhao, Jing Xia, Li Wang, Weili Lin, John H. Gilmore, Gang Li, Dinggang Shen:
Intrinsic Patch-Based Cortical Anatomical Parcellation Using Graph Convolutional Neural Network on Surface Manifold. MICCAI (3) 2019: 492-500 - [c99]Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Multi-stage Image Quality Assessment of Diffusion MRI via Semi-supervised Nonlocal Residual Networks. MICCAI (3) 2019: 521-528 - [c98]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Geng Chen, Kim-Han Thung, Haiyong Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments. MICCAI (3) 2019: 547-555 - [c97]Khoi Minh Huynh, Tiantian Xu, Ye Wu, Kim-Han Thung, Geng Chen, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments. MICCAI (3) 2019: 556-563 - [c96]Zhen Zhou, Han Zhang, Li-Ming Hsu, Weili Lin, Gang Pan, Dinggang Shen:
Multi-layer Temporal Network Analysis Reveals Increasing Temporal Reachability and Spreadability in the First Two Years of Life. MICCAI (3) 2019: 665-672 - [c95]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:
A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI. MICCAI (3) 2019: 754-762 - [c94]Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain. MICCAI (2) 2019: 815-822 - [c93]Fan Wang, Chunfeng Lian, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties. MICCAI (2) 2019: 841-849 - [i3]Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Dingna Duan, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Spherical U-Net on Cortical Surfaces: Methods and Applications. CoRR abs/1904.00906 (2019) - [i2]Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks. CoRR abs/1904.03639 (2019) - [i1]Qian Zhang, Li Wang, Xiaopeng Zong, Weili Lin, Gang Li, Dinggang Shen:
FRNET: Flattened Residual Network for Infant MRI Skull Stripping. CoRR abs/1904.05578 (2019) - 2018
- [j49]Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space. Frontiers Neuroinformatics 12: 57 (2018) - [j48]Chunfeng Lian, Jun Zhang, Mingxia Liu, Xiaopeng Zong, Sheng-Che Hung, Weili Lin, Dinggang Shen:
Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images. Medical Image Anal. 46: 106-117 (2018) - [j47]Jing Xia, Fan Wang, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, Caiming Zhang, Dinggang Shen, Gang Li:
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants. Medical Image Anal. 49: 46-59 (2018) - [j46]Yan Wang, Biting Yu, Lei Wang, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou:
3D conditional generative adversarial networks for high-quality PET image estimation at low dose. NeuroImage 174: 550-562 (2018) - [c92]Jing Xia, Caiming Zhang, Fan Wang, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li:
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants. ISBI 2018: 683-686 - [c91]Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Estimation of shape and growth brain network atlases for connectomic brain mapping in developing infants. ISBI 2018: 985-989 - [c90]Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen:
Infant brain development prediction with latent partial multi-view representation learning. ISBI 2018: 1048-1051 - [c89]Zhengwang Wu, Gang Li, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen:
Construction of spatiotemporal neonatal cortical surface atlases using a large-scale dataset. ISBI 2018: 1056-1059 - [c88]Euijin Jung, Xiaopeng Zong, Weili Lin, Dinggang Shen, Sanghyun Park:
Enhancement of Perivascular Spaces Using a Very Deep 3D Dense Network. PRIME@MICCAI 2018: 18-25 - [c87]Liang Sun, Daoqiang Zhang, Li Wang, Wei Shao, Zengsi Chen, Weili Lin, Dinggang Shen, Gang Li:
Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net. MLMI@MICCAI 2018: 125-133 - [c86]Han Zhang, Natalie Stanley, Peter J. Mucha, Weiyan Yin, Weili Lin, Dinggang Shen:
Multi-layer Large-Scale Functional Connectome Reveals Infant Brain Developmental Patterns. MICCAI (3) 2018: 136-144 - [c85]Lei Xiang, Yang Li, Weili Lin, Qian Wang, Dinggang Shen:
Unpaired Deep Cross-Modality Synthesis with Fast Training. DLMIA/ML-CDS@MICCAI 2018: 155-164 - [c84]Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen:
Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information. MICCAI (1) 2018: 215-223 - [c83]Jiawei Chen, Han Zhang, Dong Nie, Li Wang, Gang Li, Weili Lin, Dinggang Shen:
Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network. MLMI@MICCAI 2018: 233-240 - [c82]Yan Wang, Luping Zhou, Lei Wang, Biting Yu, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen:
Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis. MICCAI (1) 2018: 329-337 - [c81]Zhenghan Fang, Yong Chen, Mingxia Liu, Yiqiang Zhan, Weili Lin, Dinggang Shen:
Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF). MLMI@MICCAI 2018: 398-405 - [c80]Li Wang, Gang Li, Feng Shi, Xiaohuan Cao, Chunfeng Lian, Dong Nie, Mingxia Liu, Han Zhang, Guannan Li, Zhengwang Wu, Weili Lin, Dinggang Shen:
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis. MICCAI (3) 2018: 411-419 - [c79]Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development? MICCAI (3) 2018: 566-574 - [c78]Zhengwang Wu, Gang Li, Li Wang, Feng Shi, Weili Lin, John H. Gilmore, Dinggang Shen:
Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks. MICCAI (3) 2018: 672-680 - 2017
- [j45]Pei Dong, Li Wang, Weili Lin, Dinggang Shen, Guorong Wu:
Scalable joint segmentation and registration framework for infant brain images. Neurocomputing 229: 54-62 (2017) - [j44]Lei Xiang, Yu Qiao, Dong Nie, Le An, Weili Lin, Qian Wang, Dinggang Shen:
Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI. Neurocomputing 267: 406-416 (2017) - [j43]Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
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. 36: 1 (2017) - [j42]Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen:
Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI. NeuroImage 152: 411-424 (2017) - [j41]Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen:
Structured Learning for 3-D Perivascular Space Segmentation Using Vascular Features. IEEE Trans. Biomed. Eng. 64(12): 2803-2812 (2017) - [c77]Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains. IPMI 2017: 385-397 - [c76]Dingna Duan, Islem Rekik, Shunren Xia, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets. ISBI 2017: 93-96 - [c75]Dingna Duan, Shunren Xia, Yu Meng, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information. MICCAI (1) 2017: 12-20 - [c74]Ehsan Adeli, Yu Meng, Gang Li, Weili Lin, Dinggang Shen:
Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data. MICCAI (1) 2017: 40-48 - [c73]Jaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases. MICCAI (1) 2017: 49-56 - [c72]Zhengwang Wu, Gang Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen:
4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation. MICCAI (1) 2017: 57-65 - [c71]Gang Li, Li Wang, Weili Lin, Dinggang Shen:
Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface. MICCAI (1) 2017: 66-74 - [c70]Han Zhang, Weiyan Yin, Weili Lin, Dinggang Shen:
Early Brain Functional Segregation and Integration Predict Later Cognitive Performance. CNI@MICCAI 2017: 116-124 - [c69]Junyi Yan, Yu Meng, Gang Li, Weili Lin, Dazhe Zhao, Dinggang Shen:
Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity. MLMI@MICCAI 2017: 194-202 - 2016
- [j40]Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing. Medical Image Anal. 28: 1-12 (2016) - [j39]Xiaopeng Zong, Sang Hyun Park, Dinggang Shen, Weili Lin:
Visualization of perivascular spaces in the human brain at 7 T: sequence optimization and morphology characterization. NeuroImage 125: 895-902 (2016) - [j38]Sang Hyun Park, Xiaopeng Zong, Yaozong Gao, Weili Lin, Dinggang Shen:
Segmentation of perivascular spaces in 7 T MR image using auto-context model with orientation-normalized features. NeuroImage 134: 223-235 (2016) - [j37]Jung Won Hyun, Yimei Li, Chao Huang, Martin Styner, Weili Lin, Hongtu Zhu:
STGP: Spatio-temporal Gaussian process models for longitudinal neuroimaging data. NeuroImage 134: 550-562 (2016) - [j36]Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical Surfaces. NeuroImage 135: 152-162 (2016) - [j35]Le An, Pei Zhang, Ehsan Adeli-Mosabbeb, Yan Wang, Guangkai Ma, Feng Shi, David S. Lalush, Weili Lin, Dinggang Shen:
Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation. IEEE Trans. Image Process. 25(7): 3303-3315 (2016) - [c68]Yu Meng, Gang Li, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen:
Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces Using Large-Scale Dataset. MICCAI (1) 2016: 10-18 - [c67]Li Wang, Yaozong Gao, Gang Li, Feng Shi, Weili Lin, Dinggang Shen:
LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images. MCV/BAMBI@MICCAI 2016: 26-34 - [c66]Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen:
Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image. MLMI@MICCAI 2016: 61-68 - [c65]Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen:
A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data. MICCAI (1) 2016: 210-218 - 2015
- [j34]Gang Li, Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen:
Construction of 4D high-definition cortical surface atlases of infants: Methods and applications. Medical Image Anal. 25(1): 22-36 (2015) - [j33]Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen:
LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images. NeuroImage 108: 160-172 (2015) - [j32]Wenlu Zhang, Rongjian Li, Houtao Deng, Li Wang, Weili Lin, Shuiwang Ji, Dinggang Shen:
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation. NeuroImage 108: 214-224 (2015) - [c64]Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework. IPMI 2015: 576-587 - [c63]Le An, Pei Zhang, Ehsan Adeli-Mosabbeb, Yan Wang, Guangkai Ma, Feng Shi, David S. Lalush, Weili Lin, Dinggang Shen:
A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation. Patch-MI@MICCAI 2015: 1-9 - [c62]Li Wang, Feng Shi, Yaozong Gao, Gang Li, Weili Lin, Dinggang Shen:
Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis. Patch-MI@MICCAI 2015: 28-36 - [c61]Yanrong Guo, Guorong Wu, Pew-Thian Yap, Valerie Jewells, Weili Lin, Dinggang Shen:
Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data. MICCAI (3) 2015: 63-71 - [c60]Yu Meng, Gang Li, Yaozong Gao, John H. Gilmore, Weili Lin, Dinggang Shen:
Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains. MCV@MICCAI 2015: 83-92 - [c59]Yan Wang, Pei Zhang, Le An, Guangkai Ma, Jiayin Kang, Xi Wu, Jiliu Zhou, David S. Lalush, Weili Lin, Dinggang Shen:
Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse Representation. MLMI 2015: 127-135 - [c58]Islem Rekik, Gang Li, Guorong Wu, Weili Lin, Dinggang Shen:
Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework. Patch-MI@MICCAI 2015: 197-204 - [c57]Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold Representation. MICCAI (2) 2015: 230-237 - [c56]Gang Li, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen:
Parcellation of Infant Surface Atlas Using Developmental Trajectories of Multidimensional Cortical Attributes. MICCAI (3) 2015: 543-550 - [c55]Yu Meng, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen:
Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study. MICCAI (3) 2015: 560-568 - [c54]Roland Kwitt, Stefan Huber, Marc Niethammer, Weili Lin, Ulrich Bauer:
Statistical Topological Data Analysis - A Kernel Perspective. NIPS 2015: 3070-3078 - 2014
- [j31]Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen:
Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants. Medical Image Anal. 18(8): 1274-1289 (2014) - [j30]Li Wang, Feng Shi, Gang Li, Yaozong Gao, Weili Lin, John H. Gilmore, Dinggang Shen:
Segmentation of neonatal brain MR images using patch-driven level sets. NeuroImage 84: 141-158 (2014) - [j29]Li Wang, Feng Shi, Yaozong Gao, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen:
Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation. NeuroImage 89: 152-164 (2014) - [j28]Gang Li, Jingxin Nie, Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen:
Measuring the dynamic longitudinal cortex development in infants by reconstruction of temporally consistent cortical surfaces. NeuroImage 90: 266-279 (2014) - [j27]Yu Meng, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen:
Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants. NeuroImage 100: 206-218 (2014) - [j26]Karen Grewen, Margaret Burchinal, Clement Vachet, Sylvain Gouttard, John H. Gilmore, Weili Lin, Josephine Johns, Mala Elam, Guido Gerig:
Prenatal cocaine effects on brain structure in early infancy. NeuroImage 101: 114-123 (2014) - [c53]Yasheng Chen, Hongyu An, Dinggang Shen, Hongtu Zhu, Weili Lin:
Tailor the longitudinal anaysis for nih longitudinal normal brain developmental study. ISBI 2014: 1206-1209 - [c52]Yu Meng, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen:
Spatial distribution and longitudinal development of DEEP cortical sulcal landmarks in infants. ISBI 2014: 1214-1217 - [c51]Yasheng Chen, Meher R. Juttukonda, Yue Z. Lee, Yi Su, Felipe Espinoza, Weili Lin, Dinggang Shen, David Lulash, Hongyu An:
MRI based attenuation correction for PET/MRI via MRF segmentation and sparse regression estimated CT. ISBI 2014: 1364-1367 - [c50]Qian Wang, Guorong Wu, Li Wang, Pengfei Shi, Weili Lin, Dinggang Shen:
Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development. MLMI 2014: 1-8 - [c49]Guorong Wu, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen:
Joint Segmentation and Registration for Infant Brain Images. MCV 2014: 13-21 - [c48]Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen:
LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images. MCV 2014: 22-33 - [c47]Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen:
Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex. MICCAI (3) 2014: 89-96 - [c46]Jiayin Kang, Yaozong Gao, Yao Wu, Guangkai Ma, Feng Shi, Weili Lin, Dinggang Shen:
Prediction of Standard-Dose PET Image by Low-Dose PET and MRI Images. MLMI 2014: 280-288 - [c45]Yanrong Guo, Guorong Wu, Leah A. Commander, Stephanie Szary, Valerie Jewells, Weili Lin, Dinggang Shen:
Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features. MICCAI (2) 2014: 308-315 - 2013
- [j25]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:
Associations between white matter microstructure and infants' working memory. NeuroImage 64: 156-166 (2013) - [j24]Yimei Li, John H. Gilmore, Dinggang Shen, Martin Styner, Weili Lin, Hongtu Zhu:
Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data. NeuroImage 72: 91-105 (2013) - [c44]Li Wang, Feng Shi, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen:
Patch-driven neonatal brain MRI segmentation with sparse representation and level sets. ISBI 2013: 1090-1093 - [c43]Gang Li, Jingxin Nie, Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen:
Measuring longitudinally dynamic cortex development in infants by reconstruction of consistent cortical surfaces. ISBI 2013: 1380-1383 - [c42]Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen:
Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants. MICCAI (1) 2013: 58-65 - [c41]Yasheng Chen, Zheng Fan, Songbai Ji, Joseph Muenzer, Hongyu An, Weili Lin:
Patient-Specific Biomechanical Modeling of Ventricular Enlargement in Hydrocephalus from Longitudinal Magnetic Resonance Imaging. MICCAI (3) 2013: 291-298 - [c40]Li Wang, Feng Shi, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen:
Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation. MICCAI (1) 2013: 703-710 - 2012
- [j23]Xiujuan Geng, Sylvain Gouttard, Anuja Sharma, Hongbin Gu, Martin Styner, Weili Lin, Guido Gerig, John H. Gilmore:
Quantitative tract-based white matter development from birth to age 2 years. NeuroImage 61(3): 542-557 (2012) - [j22]Feng Shi, Pew-Thian Yap, Wei Gao, Weili Lin, John H. Gilmore, Dinggang Shen:
Altered structural connectivity in neonates at genetic risk for schizophrenia: A combined study using morphological and white matter networks. NeuroImage 62(3): 1622-1633 (2012) - [j21]Feng Shi, Li Wang, Yakang Dai, John H. Gilmore, Weili Lin, Dinggang Shen:
LABEL: Pediatric brain extraction using learning-based meta-algorithm. NeuroImage 62(3): 1975-1986 (2012) - [j20]Yimei Li, John H. Gilmore, Jiaping Wang, Martin Styner, Weili Lin, Hongtu Zhu:
TwinMARM: Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data. IEEE Trans. Medical Imaging 31(5): 1100-1112 (2012) - [c39]Neda Sadeghi, Marcel Prastawa, P. Thomas Fletcher, John H. Gilmore, Weili Lin, Guido Gerig:
Statistical growth modeling of longitudinal DT-MRI for regional characterization of early brain development. ISBI 2012: 1507-1510 - [c38]Feng Shi, Li Wang, Guorong Wu, Yu Zhang, Manhua Liu, John H. Gilmore, Weili Lin, Dinggang Shen:
Atlas Construction via Dictionary Learning and Group Sparsity. MICCAI (1) 2012: 247-255 - 2011
- [j19]Yong Fan, Feng Shi, Jeffrey Keith Smith, Weili Lin, John H. Gilmore, Dinggang Shen:
Brain anatomical networks in early human brain development. NeuroImage 54(3): 1862-1871 (2011) - [j18]Pew-Thian Yap, Yasheng Chen, Hongyu An, Yang Yang, John H. Gilmore, Weili Lin, Dinggang Shen:
SPHERE: SPherical Harmonic Elastic REgistration of HARDI data. NeuroImage 55(2): 545-556 (2011) - [j17]Martha Skup, Hongtu Zhu, Yaping Wang, Kelly S. Giovanello, Ja-an Lin, Dinggang Shen, Feng Shi, Wei Gao, Weili Lin, Yong Fan, Heping Zhang:
Sex differences in grey matter atrophy patterns among AD and aMCI patients: Results from ADNI. NeuroImage 56(3): 890-906 (2011) - [j16]Hongtu Zhu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, John H. Gilmore:
FADTTS: Functional analysis of diffusion tensor tract statistics. NeuroImage 56(3): 1412-1425 (2011) - [j15]Li Wang, Feng Shi, Weili Lin, John H. Gilmore, Dinggang Shen:
Automatic segmentation of neonatal images using convex optimization and coupled level sets. NeuroImage 58(3): 805-817 (2011) - [j14]Yasheng Chen, Hongyu An, Hongtu Zhu, Valerie Jewells, Diane Armao, Dinggang Shen, John H. Gilmore, Weili Lin:
Longitudinal regression analysis of spatial-temporal growth patterns of geometrical diffusion measures in early postnatal brain development with diffusion tensor imaging. NeuroImage 58(4): 993-1005 (2011) - [j13]Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen:
PopTract: Population-Based Tractography. IEEE Trans. Medical Imaging 30(10): 1829-1840 (2011) - [c37]Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen:
Longitudinal Tractography with Application to Neuronal Fiber Trajectory Reconstruction in Neonates. MICCAI (2) 2011: 66-73 - [c36]Li Wang, Feng Shi, Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen:
Accurate and Consistent 4D Segmentation of Serial Infant Brain MR Images. MBIA 2011: 93-101 - [c35]Yimei Li, John H. Gilmore, Jiaping Wang, Martin Styner, Weili Lin, Hongtu Zhu:
Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data. MBIA 2011: 102-109 - [c34]Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen:
Reconstruction of Fiber Trajectories via Population-Based Estimation of Local Orientations. MICCAI (2) 2011: 133-140 - [c33]Jiaping Wang, Hongtu Zhu, Jianqing Fan, Kelly S. Giovanello, Weili Lin:
Adaptively and Spatially Estimating the Hemodynamic Response Functions in fMRI. MICCAI (2) 2011: 269-276 - [c32]Feng Shi, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen:
Learning-Based Meta-Algorithm for MRI Brain Extraction. MICCAI (3) 2011: 313-321 - 2010
- [j12]Feng Shi, Yong Fan, Songyuan Tang, John H. Gilmore, Weili Lin, Dinggang Shen:
Neonatal brain image segmentation in longitudinal MRI studies. NeuroImage 49(1): 391-400 (2010) - [j11]Feng Shi, Pew-Thian Yap, Yong Fan, John H. Gilmore, Weili Lin, Dinggang Shen:
Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation. NeuroImage 51(2): 684-693 (2010) - [j10]Hongtu Zhu, Martin Styner, Niansheng Tang, Zhexing Liu, Weili Lin, John H. Gilmore:
FRATS: Functional Regression Analysis of DTI Tract Statistics. IEEE Trans. Medical Imaging 29(4): 1039-1049 (2010) - [j9]Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen:
F-TIMER: Fast Tensor Image Morphing for Elastic Registration. IEEE Trans. Medical Imaging 29(5): 1192-1203 (2010) - [c31]Marcel Prastawa, Neda Sadeghi, John H. Gilmore, Weili Lin, Guido Gerig:
A new framework for analyzing white matter maturation in early brain development. ISBI 2010: 97-100 - [c30]Feng Shi, Pew-Thian Yap, Yong Fan, John H. Gilmore, Weili Lin, Dinggang Shen:
Neonatal brain MRI segmentation by building multi-region-multireference atlases. ISBI 2010: 964-967 - [c29]Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen:
Automatic Segmentation of Neonatal Images Using Convex Optimization and Coupled Level Set Method. MIAR 2010: 1-10 - [c28]Feng Shi, Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen:
Spatial-Temporal Constraint for Segmentation of Serial Infant Brain MR Images. MIAR 2010: 42-50 - [c27]Pew-Thian Yap, Yasheng Chen, Hongyu An, John H. Gilmore, Weili Lin, Dinggang Shen:
Hierachical Spherical Harmonics Based Deformable HARDI Registration. MIAR 2010: 228-236 - [c26]Yang Li, Yaping Wang, Zhong Xue, Feng Shi, Weili Lin, Dinggang Shen:
The Alzheimer's Disease Neuroimaging Initiative: Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study. MICCAI (2) 2010: 133-142 - [c25]Yasheng Chen, Songbai Ji, Xunlei Wu, Hongyu An, Hongtu Zhu, Dinggang Shen, Weili Lin:
Simulation of Brain Mass Effect with an Arbitrary Lagrangian and Eulerian FEM. MICCAI (2) 2010: 274-281 - [c24]Wei Gao, Hongtu Zhu, Kelly S. Giovanello, Weili Lin:
Multivariate Network-Level Approach to Detect Interactions between Large-Scale Functional Systems. MICCAI (2) 2010: 298-305 - [c23]Hongtu Zhu, Martin Styner, Yimei Li, Linglong Kong, Yundi Shi, Weili Lin, Christopher L. Coe, John H. Gilmore:
Multivariate Varying Coefficient Models for DTI Tract Statistics. MICCAI (1) 2010: 690-697 - [c22]Neda Sadeghi, Marcel Prastawa, John H. Gilmore, Weili Lin, Guido Gerig:
Towards analysis of growth trajectory through multimodal longitudinal MR imaging. Image Processing 2010: 76232U
2000 – 2009
- 2009
- [j8]Wei Gao, Hongtu Zhu, Weili Lin:
A unified optimization approach for diffusion tensor imaging technique. NeuroImage 44(3): 729-741 (2009) - [j7]Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen:
TIMER: Tensor Image Morphing for Elastic Registration. NeuroImage 47(2): 549-563 (2009) - [j6]Yasheng Chen, Hongyu An, Hongtu Zhu, Taylor Stone, J. Keith Smith, Colin Hall, Elizabeth Bullitt, Dinggang Shen, Weili Lin:
White matter abnormalities revealed by diffusion tensor imaging in non-demented and demented HIV+ patients. NeuroImage 47(4): 1154-1162 (2009) - [c21]Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen:
TIMER: Tensor Image Morphing for Elastic Registration. CVPR Workshops 2009: 1-8 - [c20]Feng Shi, Pew-Thian Yap, Yong Fan, Jie-Zhi Cheng, Lawrence L. Wald, Guido Gerig, Weili Lin, Dinggang Shen:
Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil. CVPR Workshops 2009: 39-45 - [c19]Songyuan Tang, Yong Fan, Hongtu Zhu, Pew-Thian Yap, Wei Gao, Weili Lin, Dinggang Shen:
Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters. CVPR Workshops 2009: 52-57 - [c18]Hongtu Zhu, Yimei Li, Joseph G. Ibrahim, Weili Lin, Dinggang Shen:
MARM: Multiscale Adaptive Regression Models for Neuroimaging Data. IPMI 2009: 314-325 - [c17]Xiaoyan Shi, Martin Styner, Jeffrey A. Lieberman, Joseph G. Ibrahim, Weili Lin, Hongtu Zhu:
Intrinsic Regression Models for Manifold-Valued Data. MICCAI (1) 2009: 192-199 - [c16]Yasheng Chen, Hongtu Zhu, Dinggang Shen, Hongyu An, John H. Gilmore, Weili Lin:
Mapping Growth Patterns and Genetic Influences on Early Brain Development in Twins. MICCAI (1) 2009: 232-239 - [c15]Sylvain Gouttard, Marcel Prastawa, Elizabeth Bullitt, Weili Lin, Casey Goodlett, Guido Gerig:
Constrained Data Decomposition and Regression for Analyzing Healthy Aging from Fiber Tract Diffusion Properties. MICCAI (1) 2009: 321-328 - [c14]Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen:
Fast Tensor Image Morphing for Elastic Registration. MICCAI (1) 2009: 721-729 - [c13]Yimei Li, Hongtu Zhu, Yasheng Chen, Hongyu An, John H. Gilmore, Weili Lin, Dinggang Shen:
LSTGEE: longitudinal analysis of neuroimaging data. Image Processing 2009: 72590F - [c12]Yimei Li, Hongtu Zhu, Yasheng Chen, Joseph G. Ibrahim, Hongyu An, Weili Lin, Colin Hall, Dinggang Shen:
RADTI: regression analyses of diffusion tensor images. Image Processing 2009: 72591C - [c11]Yasheng Chen, Dinggang Shen, Hongtu Zhu, Hongyu An, John H. Gilmore, Weili Lin:
Hierarchical unbiased group-wise registration for atlas construction and population comparison. Image Processing 2009: 72592V - [c10]Feng Shi, Yong Fan, Songyuan Tang, John H. Gilmore, Weili Lin, Dinggang Shen:
Brain tissue segmentation of neonatal MR images using a longitudinal subject-specific probabilistic atlas. Image Processing 2009: 725942 - 2008
- [j5]Ying Yuan, Hongtu Zhu, Joseph G. Ibrahim, Weili Lin, Bradley S. Peterson:
A Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Images. IEEE Trans. Medical Imaging 27(10): 1506-1514 (2008) - 2007
- [c9]Casey Goodlett, P. Thomas Fletcher, Weili Lin, Guido Gerig:
Quantification of Measurement Error in DTI: Theoretical Predictions and Validation. MICCAI (1) 2007: 10-17 - 2005
- [j4]Elizabeth Bullitt, Keith E. Muller, Inkyung Jung, Weili Lin, Stephen R. Aylward:
Analyzing attributes of vessel populations. Medical Image Anal. 9(1): 39-49 (2005) - [j3]Marcel Prastawa, John H. Gilmore, Weili Lin, Guido Gerig:
Automatic segmentation of MR images of the developing newborn brain. Medical Image Anal. 9(5): 457-466 (2005) - [c8]Yang Wu, Hamid Krim, Hongyu An, Weili Lin:
An independent component analysis approach to perfusion weighted imaging. ICASSP (5) 2005: 777-780 - 2004
- [c7]Chichun Lo, Weili Lin, Jay Wu:
An XCS-Based Intelligent Searching Model for Cross-Organization Identity Management in Web Service. ICEB 2004: 28-33 - [c6]Anping Chen, Weili Lin, Yenchu Chen:
An Intelligent Model for Stock Investment with Buffett Strategy, Classifier System, Neural Networkand Linear Programming. ICEB 2004: 255-260 - [c5]Marcel Prastawa, John H. Gilmore, Weili Lin, Guido Gerig:
Automatic Segmentation of Neonatal Brain MRI. MICCAI (1) 2004: 10-17 - [c4]Elizabeth Bullitt, Inkyung Jung, Keith E. Muller, Guido Gerig, Stephen R. Aylward, Sarang C. Joshi, J. Keith Smith, Weili Lin, Matthew G. Ewend:
Determining Malignancy of Brain Tumors by Analysis of Vessel Shape. MICCAI (2) 2004: 645-653 - 2003
- [j2]Elizabeth Bullitt, Guido Gerig, Stephen M. Pizer, Weili Lin, Stephen R. Aylward:
Measuring Tortuosity of the Intracerebral Vasculature. IEEE Trans. Medical Imaging 22(9): 1163-1171 (2003) - [c3]Pierre Fillard, John H. Gilmore, Joseph Piven, Weili Lin, Guido Gerig:
Quantitative Analysis of White Matter Fiber Properties along Geodesic Paths. MICCAI (2) 2003: 16-23 - [c2]Elizabeth Bullitt, Guido Gerig, Stephen R. Aylward, Sarang C. Joshi, J. Keith Smith, Matthew G. Ewend, Weili Lin:
Vascular Attributes and Malignant Brain Tumors. MICCAI (1) 2003: 671-679 - [c1]Guido Gerig, Marcel Prastawa, Weili Lin, John H. Gilmore:
Assessing Early Brain Development in Neonates by Segmentation of High-Resolution 3T MRI. MICCAI (2) 2003: 979-980
1990 – 1999
- 1995
- [j1]E. Mark Haacke, Song Lai, Dmitriy A. Yablonskiy, Weili Lin:
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. 6(2-3): 153-163 (1995)
Coauthor Index
[c158] [c147] [c136] [j86] [c131] [j67] [j64] [j63] [c113] [c112] [c110] [c108] [c105] [c100] [c93] [i3] [c89] [c78] [c76] [c75] [c68] [j34] [j33] [c60] [c56] [c55] [j30] [j29] [j28] [j27] [j26] [c52] [c49] [c48] [j25] [j24] [c44] [c43] [c40] [j23] [j22] [j21] [j20] [c39] [c38] [j19] [j18] [j16] [j15] [j14] [j13] [c37] [c36] [c35] [c34] [c32] [j12] [j11] [j10] [c31] [c30] [c29] [c28] [c27] [c23] [c22] [c16] [c13] [c11] [c10] [j3] [c5] [c3] [c1]
[j103] [c158] [c157] [c154] [i11] [j100] [j99] [c151] [c150] [c149] [c148] [c147] [c146] [c145] [c144] [j97] [j95] [j94] [j93] [c142] [c141] [c139] [c138] [c136] [i9] [j92] [j91] [j90] [j87] [j86] [j85] [j84] [c135] [c134] [c133] [c132] [c131] [c130] [c129] [i8] [j79] [j75] [c127] [c126] [c124] [c123] [c121] [c117] [c116] [c115] [i5] [j69] [j68] [j67] [j65] [j63] [j62] [j58] [j55] [j53] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c104] [c103] [c102] [c101] [c100] [c94] [c93] [i3] [i1] [j47] [c92] [c91] [c90] [c89] [c87] [c83] [c80] [c79] [c78] [j43] [j42] [c77] [c76] [c75] [c74] [c72] [c71] [c69] [j40] [j36] [c68] [c67] [c65] [j34] [j33] [c64] [c62] [c60] [c58] [c57] [c56] [c55] [j31] [j30] [j29] [j28] [j27] [c52] [c48] [c47] [c44] [c43] [c42] [c40]
[j101] [i11] [c149] [j96] [j95] [j91] [j90] [j89] [j88] [j86] [j85] [j84] [c135] [i8] [i7] [j83] [j82] [j81] [j80] [j79] [j78] [j77] [j76] [j75] [c127] [c126] [c125] [c124] [c123] [c122] [c121] [c120] [c119] [c118] [c117] [c116] [d5] [d4] [d3] [d2] [d1] [i6] [i5] [i4] [j74] [j73] [j72] [j71] [j70] [j69] [j68] [j67] [j66] [j65] [j63] [j62] [j58] [j57] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [c114] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [c104] [c103] [c102] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [i3] [i2] [i1] [j49] [j48] [j47] [j46] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [j45] [j44] [j43] [j42] [j41] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [j40] [j39] [j38] [j36] [j35] [c68] [c67] [c66] [c65] [j34] [j33] [j32] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [j31] [j30] [j29] [j28] [j27] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [j24] [c44] [c43] [c42] [c40] [j22] [j21] [c38] [j19] [j18] [j17] [j15] [j14] [j13] [c37] [c36] [c34] [c32] [j12] [j11] [j9] [c30] [c29] [c28] [c27] [c26] [c25] [j7] [j6] [c21] [c20] [c19] [c18] [c16] [c14] [c13] [c12] [c11] [c10]
Martin Styner
aka: Martin A. Styner
aka: Martin A. Styner
[j103] [c158] [c156] [c155] [c154] [c152] [j100] [j99] [c151] [c150] [c148] [c147] [c146] [c145] [c144] [j97] [j95] [j94] [j93] [c142] [c141] [c139] [c138] [c136] [i9] [j92] [j90] [j87] [j86] [j85] [j84] [c134] [c133] [c132] [c131] [c130] [c129] [j75] [c127] [c126] [c124] [c123] [c121] [c117] [c116] [c115] [i5] [j72] [j71] [j69] [j67] [j63] [j62] [j58] [j56] [j53] [c113] [c112] [c111] [c110] [c109] [c108] [c103] [c102] [c101] [c100] [c94] [c93] [i3] [i1] [j47] [c92] [c89] [c87] [c83] [c80] [c78] [j45] [c75] [c72] [c71] [c68] [c67] [j34] [j33] [j32] [c62] [c56] [j31] [j30] [j29] [j28] [c50] [c49] [c48] [c47] [c44] [c43] [c42] [c40] [j21] [c38] [j15] [c36] [c32] [c29]
[j103] [c158] [c156] [c155] [c154] [c153] [c152] [j100] [j99] [c151] [c150] [c148] [c147] [c146] [c145] [c144] [j97] [j95] [j94] [j93] [c142] [c141] [c139] [c138] [c136] [i9] [j90] [j87] [j86] [j85] [j84] [c134] [c132] [c131] [c130] [c129] [j79] [j75] [c126] [c124] [c123] [c121] [c117] [c116] [i5] [j69] [j67] [j62] [j58] [j55] [j53] [c113] [c112] [c111] [c110] [c108] [c104] [c101] [c100] [c94] [c93] [i3] [j47] [c92] [c90] [c89] [c80] [c78] [c72]
[j102] [c154] [j99] [c143] [i10] [j98] [j95] [c140] [c139] [i9] [j89] [j88] [c128] [i7] [j80] [j77] [j76] [c125] [c122] [c120] [c119] [c118] [d5] [d4] [d3] [d2] [d1] [i6] [j71] [j70] [j69] [j63] [j62] [j51] [j50] [c114] [c99] [c98] [c97] [c94] [i2] [j49] [j42] [c73] [c65] [c61] [j22] [j18] [j13] [c37] [c36] [c34] [j11] [j9] [c30] [c28] [c27] [j7] [c21] [c20] [c19] [c14]
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