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Gang Li 0001
Person information
- affiliation: University of North Carolina at Chapel Hill, Department of Radiology and BRIC, NC, USA
- affiliation (former): Northwestern Polytechnical University, School of Automation, Xi'an, China
Other persons with the same name
- Gang Li — disambiguation page
- Gang Li 0002
— Tianjin University, Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, China
- Gang Li 0003
- Gang Li 0004
- Gang Li 0005
- Gang Li 0006
- Gang Li 0007
- Gang Li 0008
- Gang Li 0009
- Gang Li 0010
- Gang Li 0011
- Gang Li 0012 — Microsoft Research Asia, Beijing, China
- Gang Li 0013
- Gang Li 0014
- Gang Li 0015
- Gang Li 0016 — Chinese University of Hong Kong, Hong Kong
- Gang Li 0017
- Gang Li 0018
- Gang Li 0019
- Gang Li 0020
- Gang Li 0021
- Gang Li 0022
- Gang Li 0023
- Gang Li 0024
- Gang Li 0025
- Gang Li 0026
- Gang Li 0027
- Gang Li 0028
- Gang Li 0029
- Gang Li 0030
- Gang Li 0031
- Gang Li 0032
- Gang Li 0033
- Gang Li 0034
- Gang Li 0036
- Gang Li 0037
- Gang Li 0038
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2020 – today
- 2025
- [j66]Lu Zhang
Learning lifespan brain anatomical correspondence via cortical developmental continuity transfer. Medical Image Anal. 99: 103328 (2025) - 2024
- [j65]Tao Zhong
A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques. Comput. Medical Imaging Graph. 116: 102404 (2024) - [j64]Fenqiang Zhao, Zhengwang Wu, Li Wang
Longitudinally consistent registration and parcellation of cortical surfaces using semi-supervised learning. Medical Image Anal. 96: 103193 (2024) - [j63]Wenhao Zhang
A joint brain extraction and image quality assessment framework for fetal brain MRI slices. NeuroImage 290: 120560 (2024) - [j62]Tao Zhong
nBEST: Deep-learning-based non-human primates Brain Extraction and Segmentation Toolbox across ages, sites and species. NeuroImage 295: 120652 (2024) - [j61]Yuchen Pei
PETS-Nets: Joint Pose Estimation and Tissue Segmentation of Fetal Brains Using Anatomy-Guided Networks. IEEE Trans. Medical Imaging 43(3): 1006-1017 (2024) - [j60]Kangfu Han
Multi-Template Meta-Information Regularized Network for Alzheimer's Disease Diagnosis Using Structural MRI. IEEE Trans. Medical Imaging 43(5): 1664-1676 (2024) - [c131]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 - [c130]Thibaud Brochet, Kangfu Han, Jiale Cheng, Fenqiang Zhao, Jérôme Lapuyade-Lahorgue, Su Ruan, Yi-Fang Tu, Sheng-Che Hung, Gang Li:
Neonatal Hypoxic Ischemic Encephalopathy Severity Grading Using Multimodal Swin Transformer. ISBI 2024: 1-4 - [c129]Laifa Ma, Weili Lin, He Zhang, Gang Li:
Automated Fetal Brain Volume Reconstruction from Motion-Corrupted Stacks with Deep Learning. ISBI 2024: 1-5 - [c128]Dan Hu, Kangfu Han, Jiale Cheng, Gang Li:
Consecutive-Contrastive Spherical U-Net: Enhancing Reliability of Individualized Functional Brain Parcellation for Short-Duration fMRI Scans. MICCAI (2) 2024: 88-98 - [c127]Guoshi Li
Development of Effective Connectome from Infancy to Adolescence. MICCAI (3) 2024: 131-140 - [c126]Junpeng Tan, Xin Zhang, Chunmei Qing, Chaoxiang Yang, He Zhang, Gang Li, Xiangmin Xu:
Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation. MICCAI (7) 2024: 329-339 - [i14]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) - [i13]Jixin Hou, Zhengwang Wu, Xianyan Chen, Dajiang Zhu, Tianming Liu, Gang Li, Xianqiao Wang:
Role of Data-driven Regional Growth Model in Shaping Brain Folding Patterns. CoRR abs/2408.17334 (2024) - [i12]Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu:
Evaluation of OpenAI o1: Opportunities and Challenges of AGI. CoRR abs/2409.18486 (2024) - 2023
- [j59]Liangjun Chen
An attention-based context-informed deep framework for infant brain subcortical segmentation. NeuroImage 269: 119931 (2023) - [j58]Liang Sun
Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction. Pattern Recognit. 133: 109029 (2023) - [j57]Yunzhi Huang
Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network. Pattern Recognit. 143: 109715 (2023) - [c125]Jiale Cheng, Fenqiang Zhao, Zhengwang Wu, Ya Wang, Xinrui Yuan, Yue Sun, Weili Lin, Li Wang
Deformable Spherical Transformer for Cerebellar Surface Parcellation. ISBI 2023: 1-5 - [c124]Laifa Ma, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Li Wang
Geometric Constrained Deep Learning for Motion Correction of Fetal Brain Mr Images. ISBI 2023: 1-5 - [c123]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 - [c122]Ruiyan Fang, Yu Li, Xin Zhang, Shengxian Chen, Jiale Cheng, Xiangmin Xu, Jieling Wu, Weili Lin, Li Wang
Path-Based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis. MICCAI (8) 2023: 328-337 - [c121]Fenqiang Zhao, Zhengwang Wu, Dajiang Zhu, Tianming Liu, John H. Gilmore, Weili Lin, Li Wang
Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization. MICCAI (8) 2023: 369-379 - [c120]Zhengwang Wu, Jiale Cheng, Fenqiang Zhao, Ya Wang, Yue Sun, Dajiang Zhu, Tianming Liu, Valerie Jewells, Weili Lin, Li Wang
Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning. MICCAI (8) 2023: 429-438 - [c119]Xueyang Wu, Tao Zhong, Shujun Liang, Li Wang
Collaborative Modality Generation and Tissue Segmentation for Early-Developing Macaque Brain MR Images. MICCAI (4) 2023: 470-480 - [c118]Xinrui Yuan, Jiale Cheng, Fenqiang Zhao, Zhengwang Wu, Li Wang
Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development. MICCAI (9) 2023: 545-554 - [c117]Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, Li Wang
Prediction of Infant Cognitive Development with Cortical Surface-Based Multimodal Learning. MICCAI (2) 2023: 618-627 - [c116]Kangfu Han
Towards Unified Modality Understanding for Alzheimer's Disease Diagnosis Using Incomplete Multi-modality Data. MLMI@MICCAI (2) 2023: 184-193 - [c115]Shengxian Chen, Xin Zhang, Ruiyan Fang, Wenhao Zhang
Dual-Stream Model with Brain Metrics and Images for MRI-Based Fetal Brain Age Estimation. MLMI@MICCAI (1) 2023: 424-433 - [i11]Zihao Wu, Lu Zhang, Chao Cao, Xiaowei Yu, Haixing Dai, Chong Ma, Zhengliang Liu, Lin Zhao, Gang Li, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, Tianming Liu:
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task. CoRR abs/2304.09138 (2023) - [i10]Xiang Li, Lu Zhang, Zihao Wu, Zhengliang Liu, Lin Zhao, Yixuan Yuan, Jun Liu, Gang Li, Dajiang Zhu, Pingkuan Yan, Quanzheng Li, Wei Liu, Tianming Liu, Dinggang Shen:
Artificial General Intelligence for Medical Imaging. CoRR abs/2306.05480 (2023) - [i9]Zhuowen Yin, Xinyao Ding, Xin Zhang, Zhengwang Wu, Li Wang, Gang Li:
Early Autism Diagnosis based on Path Signature and Siamese Unsupervised Feature Compressor. CoRR abs/2307.06472 (2023) - [i8]Zhengliang Liu, Hanqi Jiang, Tianyang Zhong, Zihao Wu, Chong Ma, Yiwei Li, Xiaowei Yu, Yutong Zhang, Yi Pan, Peng Shu, Yanjun Lyu, Lu Zhang, Junjie Yao
Holistic Evaluation of GPT-4V for Biomedical Imaging. CoRR abs/2312.05256 (2023) - 2022
- [j56]Tao Zhong
Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age. NeuroImage 247: 118799 (2022) - [j55]Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Fenqiang Zhao, Tao Zhong
A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort. NeuroImage 253: 119097 (2022) - [j54]Jie Wei
A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling. Pattern Recognit. 124: 108420 (2022) - [j53]Dongming Wei
Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images. IEEE Trans. Medical Imaging 41(5): 1219-1229 (2022) - [j52]Jiale Cheng
Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores. IEEE Trans. Medical Imaging 41(7): 1665-1676 (2022) - [j51]Yu Li
Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction. IEEE Trans. Medical Imaging 41(10): 2764-2776 (2022) - [c114]Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Ya Wang, Ying Huang, Weili Lin, Li Wang
Spherical Transformer for Quality Assessment of Pediatric Cortical Surfaces. ISBI 2022: 1-5 - [c113]Fenqiang Zhao, Zhengwang Wu, Li Wang
Fast Spherical Mapping of Cortical Surface Meshes Using Deep Unsupervised Learning. MICCAI (6) 2022: 163-173 - [c112]Sahar Ahmad, Fang Nan, Ye Wu, Zhengwang Wu, Weili Lin, Li Wang
Harmonization of Multi-site Cortical Data Across the Human Lifespan. MLMI@MICCAI 2022: 220-229 - [c111]Xiaowei Yu, Dan Hu, Lu Zhang, Ying Huang, Zhengwang Wu, Tianming Liu, Li Wang
Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network. MICCAI (8) 2022: 255-264 - [c110]Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, John H. Gilmore, Li Wang
Spherical Transformer on Cortical Surfaces. MLMI@MICCAI 2022: 406-415 - [c109]Ming-Xia Liu, Xiang Cheng, Sen Su, Ming Kuang, Gang Li:
Bootstrapping Joint Entity and Relation Extraction with Reinforcement Learning. WISE 2022: 418-432 - [i7]Yunzhi Huang
Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network. CoRR abs/2208.04825 (2022) - 2021
- [j50]Jian Chen
Harmonized neonatal brain MR image segmentation model for cross-site datasets. Biomed. Signal Process. Control. 69: 102810 (2021) - [j49]Jian Chen
Automatic brain extraction from 3D fetal MR image with deep learning-based multi-step framework. Comput. Medical Imaging Graph. 88: 101848 (2021) - [j48]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) - [j47]Lu Zhang, Li Wang, Jean Gao, Shannon L. Risacher
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment. Medical Image Anal. 72: 102082 (2021) - [j46]Liangjun Chen
ABCnet: Adversarial bias correction network for infant brain MR images. Medical Image Anal. 72: 102133 (2021) - [j45]Tao Zhong
DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques. NeuroImage 227: 117649 (2021) - [j44]Mackenzie Woodburn, Cheyenne L. Bricken, Zhengwang Wu, Gang Li, Li Wang
The maturation and cognitive relevance of structural brain network organization from early infancy to childhood. NeuroImage 238: 118232 (2021) - [j43]Fenqiang Zhao
Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction. IEEE Trans. Medical Imaging 40(4): 1217-1228 (2021) - [j42]Yue Sun
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. IEEE Trans. Medical Imaging 40(5): 1363-1376 (2021) - [j41]Fenqiang Zhao
S3Reg: Superfast Spherical Surface Registration Based on Deep Learning. IEEE Trans. Medical Imaging 40(8): 1964-1976 (2021) - [c108]Alaa Bessadok
A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint. PRIME@MICCAI 2021: 11-24 - [c107]Liangjun Chen, Zhengwang Wu, Dan Hu, Yuchen Pei
Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases Based on Deep Learning. MICCAI (4) 2021: 139-149 - [c106]Yue Sun
Multi-scale Self-supervised Learning for Multi-site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts. MLMI@MICCAI 2021: 171-179 - [c105]Fenqiang Zhao, Zhengwang Wu, Li Wang
A Deep Network for Joint Registration and Parcellation of Cortical Surfaces. MICCAI (4) 2021: 171-181 - [c104]Yu Li, Jiale Cheng, Xin Zhang, Ruiyan Fang, Lufan Liao, Xinyao Ding, Hao Ni
Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction. MLMI@MICCAI 2021: 228-237 - [c103]Dan Hu, Weiyan Yin
Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction. MICCAI (3) 2021: 231-240 - [c102]Yuchen Pei
Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network. MICCAI (7) 2021: 239-248 - [c101]Fenqiang Zhao, Zhengwang Wu
Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks. MICCAI (2) 2021: 262-272 - [i6]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) - 2020
- [j40]Zongcheng Yue
A Hardware Descriptive Approach to Beetle Antennae Search. IEEE Access 8: 89059-89070 (2020) - [j39]Oualid M. Benkarim
A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly. Medical Image Anal. 64: 101750 (2020) - [j38]Dongming Wei
Deep morphological simplification network (MS-Net) for guided registration of brain magnetic resonance images. Pattern Recognit. 100: 107171 (2020) - [j37]Dan Hu
Hierarchical Rough-to-Fine Model for Infant Age Prediction Based on Cortical Features. IEEE J. Biomed. Health Informatics 24(1): 214-225 (2020) - [j36]Dan Hu
Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages. IEEE Trans. Medical Imaging 39(12): 4137-4149 (2020) - [c100]Xin Zhang, Xinyao Ding, Zhengwang Wu
Siamese Verification Framework for Autism Identification During Infancy Using Cortical Path Signature Features. ISBI 2020: 1-4 - [c99]Jie Wei
7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested Network. ISBI 2020: 140-143 - [c98]Toan Duc Bui, Li Wang
6-Month Infant Brain Mri Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial Networks. ISBI 2020: 359-362 - [c97]Lufan Liao, Xin Zhang, Fenqiang Zhao, Jingjiao Lou, Li Wang
Multi-Branch Deformable Convolutional Neural Network with Label Distribution Learning for Fetal Brain Age Prediction. ISBI 2020: 424-427 - [c96]Mayssa Soussia, Xuyun Wen, Zhen Zhou, Bing Jin, Tae-Eui Kam, Li-Ming Hsu, Zhengwang Wu, Gang Li, Li Wang
A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. MICCAI (7) 2020: 13-21 - [c95]Tao Zhong, Yu Zhang, Fenqiang Zhao, Yuchen Pei
Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains. MICCAI (7) 2020: 22-32 - [c94]Dan Hu, Fan Wang, Han Zhang, Zhengwang Wu, Li Wang
Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting. MICCAI (7) 2020: 72-82 - [c93]Xin Zhang, Jiale Cheng, Hao Ni
Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features. MICCAI (7) 2020: 134-144 - [c92]Ying Huang, Fan Wang, Zhengwang Wu, Zengsi Chen, Han Zhang, Li Wang
Construction of Spatiotemporal Infant Cortical Surface Functional Templates. MICCAI (7) 2020: 238-248 - [c91]Fenqiang Zhao, Zhengwang Wu, Li Wang
Unsupervised Learning for Spherical Surface Registration. MLMI@MICCAI 2020: 373-383 - [c90]Yuchen Pei
Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI. MLMI@MICCAI 2020: 384-393 - [c89]Songyao Zhang
Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization. MLMI@MICCAI 2020: 394-403 - [c88]Lufan Liao, Xin Zhang, Fenqiang Zhao, Tao Zhong, Yuchen Pei
Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning. MICCAI (6) 2020: 415-424 - [c87]Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Zhanhao Mo, Li Wang
A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation. MICCAI (7) 2020: 646-656 - [c86]Yue Sun
Semi-supervised Transfer Learning for Infant Cerebellum Tissue Segmentation. MLMI@MICCAI 2020: 663-673 - [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]Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen:
Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces. CoRR abs/2009.02797 (2020)
2010 – 2019
- 2019
- [j35]Sahar Ahmad
Surface-constrained volumetric registration for the early developing brain. Medical Image Anal. 58 (2019) - [j34]Xuyun Wen, Han Zhang, Gang Li
First-year development of modules and hubs in infant brain functional networks. NeuroImage 185: 222-235 (2019) - [j33]Dingna Duan
Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications. NeuroImage 185: 575-592 (2019) - [j32]Ehsan Adeli
Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data. NeuroImage 185: 783-792 (2019) - [j31]Brittany R. Howell
The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development. NeuroImage 185: 891-905 (2019) - [j30]Gang Li
Computational neuroanatomy of baby brains: A review. NeuroImage 185: 906-925 (2019) - [j29]Liang Sun, Daoqiang Zhang, Chunfeng Lian, Li Wang
Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network. NeuroImage 198: 114-124 (2019) - [j28]Changqing Zhang
Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning. IEEE Trans. Medical Imaging 38(4): 909-918 (2019) - [j27]Li Wang
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Trans. Medical Imaging 38(9): 2219-2230 (2019) - [c85]Peirong Liu, Zhengwang Wu
Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces. IPMI 2019: 277-288 - [c84]Fenqiang Zhao, Shunren Xia, Zhengwang Wu
Spherical U-Net on Cortical Surfaces: Methods and Applications. IPMI 2019: 855-866 - [c83]Dingna Duan
Cortical Foldingprints for Infant Identification. ISBI 2019: 396-399 - [c82]Jing Xia, Fan Wang, Zhengwang Wu
Charting Development-Based Joint Parcellation Maps Of Human and Macaque Brains During Infancy. ISBI 2019: 422-425 - [c81]Zengsi Chen, Zhengwang Wu
Construction of 4D Neonatal Cortical Surface Atlases Using Wasserstein Distance. ISBI 2019: 995-998 - [c80]Qian Zhang, Li Wang
Frnet: Flattened Residual Network for Infant MRI Skull Stripping. ISBI 2019: 999-1002 - [c79]Guannan Li, Meng-Hsiang Chen, Gang Li, Di Wu, Quan-Sen Sun, Dinggang Shen, Li Wang
A Preliminary Volumetric MRI Study of Amygdala and Hippocampal Subfields in Autism During Infancy. ISBI 2019: 1052-1056 - [c78]Fenqiang Zhao, Shunren Xia, Zhengwang Wu
Spherical U-Net For Infant Cortical Surface Parcellation. ISBI 2019: 1882-1886 - [c77]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 - [c76]Dan Hu, Han Zhang, Zhengwang Wu
Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction. MICCAI (4) 2019: 149-157 - [c75]Guannan Li, Meng-Hsiang Chen, Gang Li, Di Wu, Chunfeng Lian, Quansen Sun, Dinggang Shen, Li Wang
A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism. GLMI@MICCAI 2019: 164-171 - [c74]Jian Chen
CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets. GLMI@MICCAI 2019: 172-179 - [c73]Dongming Wei
Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration. MLMI@MICCAI 2019: 203-211 - [c72]Toan Duc Bui, Li Wang
Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance. DART/MIL3ID@MICCAI 2019: 243-251 - [c71]Fenqiang Zhao, Zhengwang Wu
Harmonization of Infant Cortical Thickness Using Surface-to-Surface Cycle-Consistent Adversarial Networks. MICCAI (4) 2019: 475-483 - [c70]Zhengwang Wu
Intrinsic Patch-Based Cortical Anatomical Parcellation Using Graph Convolutional Neural Network on Surface Manifold. MICCAI (3) 2019: 492-500 - [c69]Jingjiao Lou, Dengwang Li, Toan Duc Bui, Fenqiang Zhao, Liang Sun, Gang Li, Dinggang Shen:
Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision. MLMI@MICCAI 2019: 592-600 - [c68]Sahar Ahmad, Zhengwang Wu
Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain. MICCAI (2) 2019: 815-822 - [c67]Fan Wang, Chunfeng Lian, Zhengwang Wu
Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties. MICCAI (2) 2019: 841-849 - [i3]Dongming Wei, Zhengwang Wu, Gang Li, Xiaohuan Cao, Dinggang Shen, Qian Wang:
Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images. CoRR abs/1902.02342 (2019) - [i2]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) - [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
- [j26]Ping He, Xiaohua Xu, Han Zhang, Gang Li
Spatiotemporal Analysis of Developing Brain Networks. Frontiers Neuroinformatics 12: 48 (2018) - [j25]Jing Xia
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants. Medical Image Anal. 49: 46-59 (2018) - [c66]Jing Xia, Caiming Zhang, Fan Wang, Yu Meng, Zhengwang Wu
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants. ISBI 2018: 683-686 - [c65]Jing Xia, Caiming Zhang, Fan Wang, Oualid M. Benkarim
Fetal cortical parcellation based on growth patterns. ISBI 2018: 696-699 - [c64]Fan Wang, Chunfeng Lian, Jing Xia, Zhengwang Wu
Construction of spatiotemporal infant cortical surface atlas of rhesus macaque. ISBI 2018: 704-707 - [c63]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 - [c62]Changqing Zhang, Ehsan Adeli, Zhengwang Wu
Infant brain development prediction with latent partial multi-view representation learning. ISBI 2018: 1048-1051 - [c61]Zhengwang Wu
Construction of spatiotemporal neonatal cortical surface atlases using a large-scale dataset. ISBI 2018: 1056-1059 - [c60]Liang Sun, Daoqiang Zhang, Li Wang
Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net. MLMI@MICCAI 2018: 125-133 - [c59]Jiawei Chen, Han Zhang, Dong Nie, Li Wang
Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network. MLMI@MICCAI 2018: 233-240 - [c58]Li Wang
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis. MICCAI (3) 2018: 411-419 - [c57]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 - [c56]Oualid M. Benkarim
Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding. MICCAI (3) 2018: 620-627 - [c55]Zhengwang Wu
Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks. MICCAI (3) 2018: 672-680 - 2017
- [j24]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) - [j23]Hanbo Chen, Yujie Li, Fangfei Ge, Gang Li
Gyral net: A new representation of cortical folding organization. Medical Image Anal. 42: 14-25 (2017) - [j22]Islem Rekik, Gang Li
Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI. NeuroImage 152: 411-424 (2017) - [c54]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 - [c53]Dingna Duan
Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets. ISBI 2017: 93-96 - [c52]Dingna Duan
Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information. MICCAI (1) 2017: 12-20 - [c51]Ehsan Adeli
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 - [c50]Zhengwang Wu
4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation. MICCAI (1) 2017: 57-65 - [c49]Gang Li, Li Wang
Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface. MICCAI (1) 2017: 66-74 - [c48]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
- [j21]Islem Rekik
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) - [j20]Islem Rekik
Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical Surfaces. NeuroImage 135: 152-162 (2016) - [c47]Yu Meng, Gang Li, Li Wang
Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces Using Large-Scale Dataset. MICCAI (1) 2016: 10-18 - [c46]Li Wang
LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images. MCV/BAMBI@MICCAI 2016: 26-34 - [c45]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 - [c44]Shijie Hao, Gang Li, Li Wang
Learning-Based Topological Correction for Infant Cortical Surfaces. MICCAI (1) 2016: 219-227 - [c43]Xi Yang, Yan Jin, Xiaobo Chen, Han Zhang, Gang Li, Dinggang Shen:
Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis. MLMI@MICCAI 2016: 246-253 - [e1]Gang Li, Yves Demazeau, Guandong Xu, Paul Wang, Leon S. L. Wang, Guanfeng Liu:
2016 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2016, Durham, NC, USA, November 11-13, 2016. IEEE 2016, ISBN 978-1-5090-6164-8 [contents] - 2015
- [j19]Gang Li
Construction of 4D high-definition cortical surface atlases of infants: Methods and applications. Medical Image Anal. 25(1): 22-36 (2015) - [j18]Li Wang
LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images. NeuroImage 108: 160-172 (2015) - [c42]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 - [c41]Yu Meng, Gang Li, Yaozong Gao, Dinggang Shen:
Automatic parcellation of cortical surfaces using random forests. ISBI 2015: 810-813 - [c40]Li Wang
Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis. Patch-MI@MICCAI 2015: 28-36 - [c39]Li Wang
Automated Segmentation of CBCT Image with Prior-Guided Sequential Random Forest. MCV@MICCAI 2015: 72-82 - [c38]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 - [c37]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 - [c36]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 - [c35]Gang Li, Li Wang
Parcellation of Infant Surface Atlas Using Developmental Trajectories of Multidimensional Cortical Attributes. MICCAI (3) 2015: 543-550 - [c34]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 - 2014
- [j17]Gang Li
Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants. Medical Image Anal. 18(8): 1274-1289 (2014) - [j16]Li Wang
Segmentation of neonatal brain MR images using patch-driven level sets. NeuroImage 84: 141-158 (2014) - [j15]Li Wang
Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation. NeuroImage 89: 152-164 (2014) - [j14]Gang Li
Measuring the dynamic longitudinal cortex development in infants by reconstruction of temporally consistent cortical surfaces. NeuroImage 90: 266-279 (2014) - [j13]Yu Meng, Gang Li
Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants. NeuroImage 100: 206-218 (2014) - [c33]Bo Peng, Gang Li, Zhiye Chen, Bin Lv, Dinggang Shen, Lin Ma, Yakang Dai:
Detection and analysis of T2DM biomarkers from brain MR images using BrainLab. BMEI 2014: 174-178 - [c32]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 - [c31]Li Wang
LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images. MCV 2014: 22-33 - [c30]Gang Li, Li Wang
Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex. MICCAI (3) 2014: 89-96 - 2013
- [j12]Jingxin Nie, Gang Li
Development of cortical anatomical properties from early childhood to early adulthood. NeuroImage 76: 216-224 (2013) - [c29]Li Wang
Patch-driven neonatal brain MRI segmentation with sparse representation and level sets. ISBI 2013: 1090-1093 - [c28]Gang Li, Jingxin Nie, Li Wang
Measuring longitudinally dynamic cortex development in infants by reconstruction of consistent cortical surfaces. ISBI 2013: 1380-1383 - [c27]Gang Li, Li Wang
Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants. MICCAI (1) 2013: 58-65 - [c26]Li Wang
Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization. MICCAI (3) 2013: 251-258 - [c25]Li Wang
Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation. MICCAI (1) 2013: 703-710 - [c24]Yaping Wang, Gang Li, Mihye Ahn, Jingxin Nie, Hongtu Zhu, Lei Guo:
Mapping longitudinal cerebral cortex development using diffusion tensor imaging. Image Processing 2013: 86692E - [c23]Yaping Wang, Gang Li, Jingxin Nie, Pew-Thian Yap, Lei Guo, Dinggang Shen:
Consistent 4D brain extraction of serial brain MR images. Image Processing 2013: 86693I - 2012
- [j11]Gang Li, Lei Guo:
Improving segmentation of 3D touching cell nuclei using flow tracking on surface meshes. Int. J. Comput. Biol. Drug Des. 5(1): 66-74 (2012) - [j10]Gang Li
Consistent reconstruction of cortical surfaces from longitudinal brain MR images. NeuroImage 59(4): 3805-3820 (2012) - [c22]Li Wang
4D Segmentation of Longitudinal Brain MR Images with Consistent Cortical Thickness Measurement. STIA 2012: 63-75 - [c21]Gang Li, Jingxin Nie, Dinggang Shen:
Partition Cortical Surfaces into Supervertices: Method and Application. MeshMed 2012: 112-121 - [c20]Ilwoo Lyu, Gang Li, Minjeong Kim, Dinggang Shen:
Multiple Atlases-Based Joint Labeling of Human Cortical Sulcal Curves. MCV 2012: 124-132 - 2011
- [j9]Gang Li
Consistent sulcal parcellation of longitudinal cortical surfaces. NeuroImage 57(1): 76-88 (2011) - [c19]Gang Li, Yang Li, Yaping Wang, Dinggang Shen:
Consistent sulcal parcellation of longitudinal cortical surfaces. ISBI 2011: 337-340 - [c18]Gang Li, Jingxin Nie, Dinggang Shen:
Consistent Reconstruction of Cortical Surfaces from Longitudinal Brain MR Images. MICCAI (2) 2011: 671-679 - 2010
- [j8]Gang Li
An automated pipeline for cortical sulcal fundi extraction. Medical Image Anal. 14(3): 343-359 (2010) - [j7]Kaiming Li, Lei Guo, Gang Li
Gyral folding pattern analysis via surface profiling. NeuroImage 52(4): 1202-1214 (2010) - [c17]Gang Li, Lei Guo, Jingxin Nie, Kaiming Li, Tianming Liu:
Direction field diffusion on cortical surface via graph cuts. CVPR Workshops 2010: 95-102 - [c16]Yixuan Yuan
Joint analysis of cortical folding pattern, thickness and fiber density using structural and DTI data. ISBI 2010: 404-407 - [c15]Kaiming Li, Lei Guo, Gang Li, Jingxin Nie, Carlos Faraco, Qun Zhao
Cortical surface based identification of brain networks using high spatial resolution resting state FMRI data. ISBI 2010: 656-659 - [c14]Degang Zhang, Lei Guo, Gang Li, Jingxin Nie, Fan Deng, Kaiming Li, Xintao Hu
Automatic cortical surface parcellation based on fiber density information. ISBI 2010: 1133-1136 - [c13]Xintao Hu
Joint analysis of fiber shape and cortical folding patterns. ISBI 2010: 1165-1168 - [c12]Gang Li, Lei Guo, Tuo Zhang, Jingxin Nie, Tianming Liu:
Cortical Sulcal Bank Segmentation via Geometric Similarity Based Graph Partition. MIAR 2010: 108-117 - [c11]Gang Li, Lei Guo, Tuo Zhang, Jingxin Nie, Tianming Liu:
Automatic Cortical Gyral Parcellation Using Probabilistic Atlas and Graph Cuts. MIAR 2010: 438-447 - [c10]Xintao Hu
Optimal combination of multiple cortical surface parcellations. Image Processing 2010: 762342 - [c9]Gang Li, Lei Guo, Kaiming Li, Jingxin Nie, Tianming Liu:
Gyral parcellation of cortical surfaces via coupled flow field tracking. Image Processing 2010: 762348
2000 – 2009
- 2009
- [j6]Kaiming Li, Lei Guo, Jingxin Nie, Gang Li
Review of methods for functional brain connectivity detection using fMRI. Comput. Medical Imaging Graph. 33(2): 131-139 (2009) - [j5]Gang Li
Deformation invariant attribute vector for deformable registration of longitudinal brain MR images. Comput. Medical Imaging Graph. 33(5): 384-398 (2009) - [j4]Gang Li
Automatic cortical sulcal parcellation based on surface principal direction flow field tracking. NeuroImage 46(4): 923-937 (2009) - [c8]Gang Li, Lei Guo, Jingxin Nie, Tianming Liu:
Automatic Cortical Sulcal Parcellation Based on Surface Principal Direction Flow Field Tracking. IPMI 2009: 202-214 - [c7]Gang Li, Lei Guo, Tianming Liu:
Grouping of Brain MR Images via Affinity Propagation. ISCAS 2009: 2425-2428 - [c6]Tuo Zhang, Lei Guo, Gang Li, Jingxin Nie, Tianming Liu:
Parametric Representation of Cortical Surface Folding Based on Polynomials. MICCAI (1) 2009: 184-191 - [c5]Kaiming Li, Lei Guo, Gang Li, Jingxin Nie, Carlos Faraco, Qun Zhao, L. Stephen Miller, Tianming Liu:
Gyral Folding Pattern Analysis via Surface Profiling. MICCAI (1) 2009: 313-320 - [c4]Jingxin Nie, Gang Li, Lei Guo, Tianming Liu:
A Computational Model of Cerebral Cortex Folding. MICCAI (1) 2009: 458-465 - 2008
- [j3]Tianming Liu, Jingxin Nie, Gang Li
ZFIQ: a software package for zebrafish biology. Bioinform. 24(3): 438-439 (2008) - [j2]Tianming Liu, Gang Li
An Automated Method for Cell Detection in Zebrafish. Neuroinformatics 6(1): 5-21 (2008) - [c3]Gang Li, Tianming Liu, Jingxin Nie, Lei Guo, Stephen T. C. Wong:
A Novel Method for Cortical Sulcal Fundi Extraction. MICCAI (1) 2008: 270-278 - 2007
- [j1]Jingxin Nie, Tianming Liu, Gang Li
Least-square conformal brain mapping with spring energy. Comput. Medical Imaging Graph. 31(8): 656-664 (2007) - [c2]Gang Li, Tianming Liu, Jingxin Nie, Lei Guo, Stephen T. C. Wong:
Segmentation of Touching Cells Using Gradient Flow Tracking. ISBI 2007: 77-80 - 2006
- [c1]Gang Li, Tianming Liu, Geoffrey S. Young, Lei Guo, Stephen T. C. Wong:
Deformation invariant attribute vector for 3D image registration: method and validation. ISBI 2006: 442-445
Coauthor Index
[j64] [c131] [c129] [c127] [i14] [j59] [j57] [c125] [c124] [c123] [c122] [c121] [c120] [c118] [c117] [j55] [j53] [j52] [j51] [c114] [c113] [c112] [c111] [c110] [i7] [j50] [j48] [j46] [j44] [j43] [j42] [j41] [c108] [c107] [c106] [c105] [c104] [c103] [c101] [i6] [j37] [j36] [c98] [c96] [c94] [c93] [c92] [c91] [c87] [c86] [i5] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [c84] [c83] [c82] [c81] [c80] [c78] [c77] [c76] [c74] [c72] [c71] [c70] [c68] [c67] [i2] [i1] [j25] [c66] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c55] [j24] [j22] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [j21] [j20] [c47] [c46] [c45] [j19] [j18] [c42] [c40] [c38] [c37] [c36] [c35] [c34] [j17] [j16] [j15] [j14] [j13] [c32] [c31] [c30] [c29] [c28] [c27] [c25]
[i14] [i12] [c123] [i11] [i10] [i8] [j54] [j53] [j48] [j46] [j45] [j43] [j42] [j41] [c108] [i6] [j39] [j38] [j37] [j36] [c99] [c98] [c96] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [i5] [i4] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [i3] [i2] [i1] [j26] [j25] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [j24] [j23] [j22] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [j21] [j20] [c47] [c46] [c45] [c44] [c43] [j19] [j18] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [j17] [j16] [j15] [j14] [j13] [c33] [c32] [c31] [c30] [j12] [c29] [c28] [c27] [c26] [c25] [c23] [j10] [c22] [c21] [c20] [j9] [c19] [c18]
[j66] [j65] [j64] [j62] [j61] [c131] [c127] [j59] [j57] [c125] [c124] [c122] [c121] [c120] [c119] [c118] [c117] [i9] [j56] [j55] [j54] [j53] [j52] [j51] [c114] [c113] [c112] [c111] [c110] [i7] [j50] [j49] [j46] [j45] [j44] [j43] [j42] [j41] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [j36] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [i5] [j35] [j33] [j31] [j30] [j29] [j27] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c75] [c74] [c72] [c71] [c70] [c68] [c67] [i2] [i1] [j25] [c66] [c64] [c61] [c60] [c59] [c58] [c55] [c52] [c50] [c49] [c47] [c46] [c44] [j19] [j18] [c40] [c39] [c35] [j17] [j16] [j15] [j14] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c22]
[j66] [j64] [j61] [c131] [c127] [i13] [j59] [j57] [c125] [c124] [c122] [c121] [c120] [c118] [c117] [i9] [j56] [j55] [j54] [j53] [j52] [j51] [c114] [c113] [c112] [c111] [c110] [i7] [j46] [j45] [j44] [j43] [j42] [j41] [c107] [c105] [c104] [c103] [c102] [c101] [j38] [j37] [j36] [c100] [c99] [c96] [c94] [c93] [c92] [c91] [c87] [i5] [i4] [j35] [j33] [j30] [j29] [j28] [j27] [c85] [c84] [c83] [c82] [c81] [c78] [c76] [c73] [c71] [c70] [c68] [c67] [i3] [i2] [j25] [c66] [c64] [c62] [c61] [c58] [c55] [c50]
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