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Journal Articles

  1. PETS-Nets: Joint Pose Estimation and Tissue Segmentation of Fetal Brains Using Anatomy-guided Networks
    Yuchen Pei, Fenqiang Zhao, Tao Zhong, Laifa Ma, Lufan Liao, Zhengwang Wu, Li Wang, He Zhang, Lisheng Wang, Gang Li. IEEE Transactions on Medical Imaging, October 2023.
  2. Mapping the evolution of regional brain network efficiency and its association with cognitive abilities during the first twenty-eight months of life
    Weixiong Jiang, Zhen Zhou, Guoshi Li, Weiyan Yin, Zhengwang Wu, Li Wang, Maryam Ghanbari, Gang Li, Pew-Thian Yap, Brittany R. Howell, Martin A. Styner, Essa Yacoub, Heather Hazlett, John H. Gilmore, J. Keith Smith, Kamil Ugurbil, Jed T. Elison, Han Zhang, Dinggang Shen, Weili Lin. Developmental Cognitive Neuroscience, October 2023, 63:101284.
  3. Self-supervised learning with application for infant cerebellum segmentation and analysis
    Yue Sun, Limei Wang, Kun Gao, Shihui Ying, Weili Lin, Kathryn L. Humphreys, Gang Li, Sijie Niu, Mingxia Liu, Li Wang. Nature Communications. August 2023.
  4. Fine-grained Functional Parcellation Maps of the Infant Cerebral Cortex
    Fan Wang, Han Zhang, Zhengwang Wu, Dan Hu, Zhen Zhou, Jessica B. Girault, Li Wang, Weili Lin, Gang Li. eLife, July 2023. (Parcellation maps available on UNC 4D Infant Cortical Surface Atlases)
  5. Longitudinal Mapping of the Development of Cortical Thickness and Surface Area in Rhesus Macaques during the First Three Years
    Jing Xia, Fan Wang, Ya Wang, Li Wang, Gang Li. Proceedings of the National Academy of Sciences (PNAS), July 2023.
  6. Four-dimensional mapping of dynamic longitudinal brain subcortical development and early learning functions in infants
    Liangjun Chen, Ya Wang, Zhengwang Wu, Yue Shan, Tengfei Li, Sheng-Che Hung, Lei Xing, Hongtu Zhu, Li Wang, Weili Lin, Gang Li. Nature Communications, June 2023.
  7. Mapping Genetic Topography of Cortical Thickness and Surface Area in Neonatal Brains
    Ying Huang, Zhengwang Wu, Tengfei Li, Xifeng Wang, Ya Wang, Lei Xing, Hongtu Zhu, Weili Lin, Li Wang, Lei Guo, John H Gilmore, Gang Li. The Journal of Neuroscience, June 2023. (Highlighted in This Week in The Journal)
  8. An integrated finite element method and machine learning algorithm for brain morphology prediction
    Poorya Chavoshnejad, Liangjun Chen, Xiaowei Yu, Jixin Hou, Nicholas Filla, Dajiang Zhu, Tianming Liu, Gang Li, Mir Jalil Razavi, Xianqiao Wang. Cerebral Cortex, June 2023.
  9. Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network
    Yunzhi Huang, Sahar Ahmad, Luyi Han, Shuai Wang, Zhengwang Wu, Weili Lin, Gang Li, Li Wang, Pew-Thian Yap. Pattern Recognition, 109715, June 2023.
  10. iBEAT V2. 0: a multisite-applicable, deep learning-based pipeline for infant cerebral cortical surface reconstruction
    Li Wang, Zhengwang Wu, Liangjun Chen, Yue Sun, Weili Lin, Gang Li. Nature Protocols, 18 (5), 1488-1509, May 2023.
  11. An end-to-end infant brain parcellation pipeline
    Limei Wang, Yue Sun, Weili Lin, Gang Li, Li Wang. Intelligent Medicine, May 2023.
  12. Longitudinal development of the cerebellum in human infants during the first 800 days
    Ya Wang, Liangjun Chen, Zhengwang Wu, Tengfei Li, Yue Sun, Jiale Cheng, Hongtu Zhu, Weili Lin, Li Wang, Wenhua Huang, and Gang Li. Cell Reports, 42(4): 112281, April 2023.
  13. An attention-based context-informed deep framework for infant brain subcortical segmentation
    Liangjun Chen, Zhengwang Wu, Fenqiang Zhao, Ya Wang, Weili Lin, Li Wang, Gang Li. NeuroImage, 269: 119931, April 2023.
  14. Multifaceted atlases of the human brain in its infancy
    Sahar Ahmad, Ye Wu, Zhengwang Wu, Kim-Han Thung, Siyuan Liu, Weili Lin, Gang Li, Li Wang, Pew-Thian Yap. Nature Methods, 2023.
  15. Mapping developmental regionalization and patterns of cortical surface area from 29 post-menstrual weeks to 2 years of age
    Ying Huang, Zhengwang Wu, Fan Wang, Dan Hu, Tengfei Li, Lei Guo, Li Wang, Weili Lin, Gang Li. Proceedings of the National Academy of Sciences (PNAS), August 2022. (Parcellation maps available on UNC 4D Infant Cortical Surface Atlases)
  16. Functional brain activity is highly associated with cortical myelination in neonates
    Ziyi Huang, Wenjian Gao, Zhengwang Wu, Gang Li, Jingxin Nie. Cerebral Cortex, 2022.
  17. Brain Connectivity based Graph Convolutional Networks for Infant Age Prediction
    Yu Li, Xin Zhang, Jingxin Nie, Guowei Zhang, Ruiyan Fang, Xiangmin Xu, Zhengwang Wu, Dan Hu, Li Wangu, Han Zhang, Weili Lin, Gang Li. IEEE Transactions on Medical Imaging, October 2022.
  18. Gyral peaks: Novel gyral landmarks in developing macaque brains
    Songyao Zhang, Poorya Chavoshnejad, Xiao Li, Lei Guo, Xi Jiang, Junwei Han, Li Wang, Gang Li, Xianqiao Wang, Tianming Liu, Mir Jalil Razavi, Shu Zhang, Tuo Zhang. Human Brain Mapping, 2022. (Cover Art)
  19. Deep learning in cortical surface-based neuroimage analysis: a systematic review
    Fenqiang Zhao, Zhengwang Wu, Gang Li. Intelligent Medicine, 2022.
  20. Mother’s Physical Activity during Pregnancy and Newborn’s Brain Cortical Development
    Xiaoxu Na, Rajikha Raja, Natalie E. Phelan, Marinna R. Tadros, Alexandra Moore, Zhengwang Wu, Li Wang, Gang Li, Charles M. Glasier, Raghu R. Ramakrishnaiah, Aline Andres, Xiawei Ou. Frontiers in Human Neuroscience, 2022.
  21. A 4D Infant Brain Volumetric Atlas Based on the UNC/UMN Baby Connectome Project (BCP) Cohort
    Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Fenqiang Zhao, Tao Zhong, Weili Lin, Li Wang, Gang Li. NeuroImage 253: 119097, 2022 June. (Download on NITRC)
  22. Volumetric Analysis of Amygdala and Hippocampal Subfields for Infants with Autism
    Guannan Li, Meng-Hsiang Chen, Gang Li, Di Wu, Chunfeng Lian, Quansen Sun, Jarrett Rushmore, Li Wang. Journal of Autism and Developmental Disorders 2022 April.
  23. Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores
    Jiale Cheng, Xin Zhang, Hao Ni, Chenyang Li, Xiangmin Xu, Zhengwang Wu, Li Wang, Weili Lin, Gang Li. IEEE Transactions on Medical Imaging 2022 Jan.
  24. Longitudinal Brain Atlases of Early Developing Cynomolgus Macaques from Birth to 48 Months of Age
    Tao Zhong, Jingkuan Wei, Kunhua Wu, Liangjun Chen, FenqiangZhao, Yuchen Pei, Ya Wang, Hongjiang Zhang, Zhengwang Wu, Ying Huang, Tengfei Li, Li Wang, Yongchang Chen, Weizhi Ji, Yu Zhang, Gang Li*, Yuyu Niu*. NeuroImage 2021 Dec. *Co-corresponding authors. (Download on NITRC)
  25. Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images
    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. IEEE Transactions on Medical Imaging 2021 Dec.
  26. Developmental Abnormalities of Structural Covariance Networks of Cortical Thickness and Surface Area in Autistic Infants within the First 2 Years
    Ya Wang, Dan Hu, Zhengwang Wu, Li Wang, Wenhua Huang, Gang Li. Cerebral Cortex 2021 Nov.
  27. Existence of Functional Connectome Fingerprint During Infancy and Its Stability Over Months
    Dan Hu, Fan Wang, Han Zhang, Zhengwang Wu, Zhen Zhou, Guoshi Li, Li Wang, Weili Lin, Gang Li. The Journal of Neuroscience 2021 Nov.
  28. A Cascaded Nested Network for 3T Brain MR Image Segmentation Guided by 7T Labeling
    Jie Wei, Zhengwang Wu, Li Wang, Toan Duc Bui, Liangqiong Qu, Pew-Thian Yap, Yong Xia*, Gang Li*, Dinggang Shen*. Pattern Recognition 2021 Nov; 108420. *Co-corresponding authors
  29. Maternal Obesity during Pregnancy is Associated with Lower Cortical Thickness in the Neonate Brain
    Xiaoxu Na, Natalie E. Phelan, Marinna R. Tadros, Zhengwang Wu, Aline Andres, Thomas M. Badger, Charles M. Glasier, Raghu R. Ramakrishnaiah, Amy C. Rowell, Li Wang, Gang Li, David K. Williams, Xiawei Ou. American Journal of Neuroradiology 2021 Oct.
  30. Influence of Gonadal Steroids on Cortical Surface Area in Infancy
    Ann Mary Alex, Tom Ruvio, Kai Xia, Shaili C Jha, Jessica B Girault, Li Wang, Gang Li, Dinggang Shen, Emil Cornea, Martin A Styner, John H Gilmore, Rebecca C Knickmeyer. Cerebral Cortex 2021 Sep.
  31. The maturation and cognitive relevance of structural brain network organization from early infancy to childhood
    Mackenzie Woodburn, Cheyenne L.Bricken, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Margaret A. Sheridan, Jessica R.Cohen. NeuroImage 2021 Sep; 238: 118232.
  32. ABCnet: Adversarial Bias Correction Network for Infant Brain MR Images
    Liangjun Chen, Zhengwang Wu, Dan Hu, Fan Wang, J. Keith Smith, Weili Lin, Li Wang, Dinggang Shen, Gang Li. Medical Image Analysis 2021 Aug; 72: 102133.
  33. Harmonized neonatal brain MR image segmentation model for cross-site datasets
    Jian Chen, Yue Sun, Zhenghan Fang, Weili Lin, Gang Li, Li Wang. Biomedical Signal Processing and Control 2021 Aug; 69: 102810
  34. Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment
    Lu Zhang, Li Wang, Jean Gao, Shannon L. Risacher, Jingwen Yan, Gang Li, Tianming Liu, Dajiang Zhu. Medical Image Analysis 2021 Aug; 72: 102082.
  35. Superfast Spherical Surface Registration Based on Deep Learning
    Fenqiang Zhao, Zhengwang Wu, Fan Wang, Weili Lin, Shunren Xia, Dinggang Shen, Li Wang, Gang Li. IEEE Trans Med Imaging 2021 Aug; 40: 1964-1976.
  36. Genetic Influences on Longitudinal Trajectories of Cortical Thickness and Surface Area during the First 2 Years of Life
    Kai Xia, J Eric Schmitt, Shaili C Jha, Jessica B Girault, Emil Cornea, Gang Li, Dinggang Shen, Martin Styner, John H Gilmore. Cerebral Cortex 2021 July.
  37. Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge
    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 Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Dinggang Shen, Gang Li, Li Wang. IEEE Transactions on Medical Imaging, 2021.
  38. Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction
    Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, John H Gilmore, Shunren Xia, Dinggang Shen, Gang Li. IEEE Transactions on Medical Imaging, 2021.
  39. DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques
    Tao Zhong, Fenqiang Zhao, Yuchen Pei, Zhenyuan Ning, Lufan Liao, Zhengwang Wu, Yuyu Niu, Li Wang, Dinggang Shen, Yu Zhang, Gang Li. NeuroImage, 2021.
  40. Automatic brain extraction from 3D fetal MR image with deep learning-based multi-step framework
    Jian Chen, Zhenghan Fang, Guofu Zhang, Lei Ling, Gang Li, He Zhang, Li Wang. Computerized Medical Imaging and Graphics, 2021.
  41. Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint
    Olfa Ghribia, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik. Medical Image Analysis, 2021.
  42. Folding drives cortical thickness variations
    Maria A. Holland, Silvia Budday, Gang Li, Dinggang Shen, Alain Goriely, Ellen Kuhl. The European Physical Journal Special Topics, 2020.
  43. Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction with Incomplete Multimodal Neuroimages
    Dan Hu, Han Zhang, Zhengwang Wu, Fan Wang, Li Wang, J. Keith Smith, Weili Lin, Gang Li*, and Dinggang Shen*. IEEE Transactions on Medical Imaging, 2020. *Co-corresponding authors
  44. Machine Learning in Orthodontics: Introducing a 3D Auto-Segmentation and Auto-Landmark Finder of CBCT Images to Assess Maxillary Constriction in Unilateral Impacted Canine patients
    Si Chen, Li Wang, Gang Li, Tai-Hsien Wu, Shannon Diachina, Beatriz Tejera, Jane Jungeun Kwon, Feng-Chang Lin, Yan-Ting Lee, Tianmin Xu, Dinggang Shen, Ching-Chang Ko. The Angle Orthodontist, 2020.
  45. A Novel Approach to Multiple Anatomical Shape Analysis: Application to Fetal Ventriculomegaly
    Oualid M. Benkarim, Gemma Piella, Islem Rekik, Nadine Hahner, Elisenda Eixarch, Dinggang Shen*, Gang Li*, Miguel Angel Gonzalez Ballester, Gerard Sanroma. Medical Image Analysis, 2020. *Co-corresponding authors
  46. Individual Identification and Individual Variability Analysis Based on Cortical Folding Features in Developing Infant Singletons and Twins
    Dingna Duan, Shunren Xia, Islem Rekik, Zhengwang Wu, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li. Human Brain Mapping, 2020.
  47. Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images
    Dongming Wei, Lichi Zhang, Zhengwang Wu, Xiaohuan Cao, Gang Li, Dinggang Shen, Qian Wang. Pattern Recognition, 2019.
  48. Cortical Structure and Cognition in Infants and Toddlers
    Jessica B Girault, Emil Cornea, Barbara D Goldman, Shaili C Jha, Veronica A Murphy, Gang Li, Li Wang, Dinggang Shen, Rebecca C Knickmeyer, Martin Styner, John H Gilmore. Cerebral Cortex, 2019.
  49. Surface-Constrained Volumetric Registration for the Early Developing Brain
    Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen. Medical Image Analysis, 2019.
  50. Developmental Topography of Cortical Thickness during Infancy
    Fan Wang, Chunfeng Lian, Zhengwang Wu, Han Zhang, Tengfei Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen, Gang Li. Proceedings of the National Academy of Sciences (PNAS) 2019. (Parcellation maps available on UNC 4D Infant Cortical Surface Atlases)
  51. Mapping Hemispheric Asymmetries of the Macaque Cerebral Cortex during Early Brain Development
    Jing Xia, Fan Wang, Zhengwang Wu, Li Wang, Caiming Zhang, Dinggang Shen, Gang Li. Human Brain Mapping, 2019.
  52. Topological Correction of Infant White Matter Surfaces Using Anatomically Constrained Convolutional Neural Network
    Liang Sun, Daoqiang Zhang, Chunfeng Lian, Li Wang,Zhengwang Wu, Wei Shao, Weili Lin, Dinggang Shen, Gang Li. NeuroImage, 2019.
  53. Construction of 4D Infant Cortical Surface Atlases with Sharp Folding Patterns via Spherical Patch-based Group-wise Sparse Representation
    Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Gang Li*, Dinggang Shen*. Human Brain Mapping, 2019. *Co-corresponding authors
  54. Fetal Cortical Surface Atlas Parcellation Based on Growth Patterns
    Jing Xia, Fan Wang, Oualid M. Benkarim, Gerard Sanroma, Gemma Piella, Miguel A. González Ballester, Nadine Hahner, Elisenda Eixarch, Caiming Zhang, Dinggang Shen, Gang Li. Human Brain Mapping, 2019.
  55. Intrinsic gray-matter connectivity of the brain in major depressive disorder
    Huifeng Zhang, Meihui Qiu, Lei Ding, David Mellor, Gang Li, Ting Shen and Daihui Peng. Journal of affective disorders, 2019.
  56. Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge
    Li Wang, Dong Nie, Guannan Li, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jiawei Chen, 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. IEEE Transactions on Medical Imaging, 2019.
  57. Hierarchical Rough-to-Fine Model for Infant Age Prediction based on Cortical Features
    Dan Hu, Zhengwang Wu, Weili Lin, Gang Li*, Dinggang Shen*. IEEE Journal of Biomedical and Health Informatics, 2019. *Co-corresponding authors
  58. First-Year Development of Modules and Hubs in Infant Brain Functional Networks
    Xuyun Wen, Han Zhang, Gang Li, Mingxia Liu, Weiyan Yin, Weili Lin, Jun Zhang, Dinggang Shen. Neuroimage, 2018.
  59. Infant Brain Development Prediction with Latent Partial Multi-View Representation Learning
    Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen. IEEE Transaction on Medical Imaging, 2018.
  60. Exploring Folding Patterns of Infant Cerebral Cortex Based on Multi-view Curvature Features: Methods and Applications
    Dingna Duan, Shunren Xia, Islem Rekik, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li. Neuroimage, 2018.
  61. Genetic Influences on Neonatal Cortical Thickness and Surface Area
    Shaili C. Jha, Kai Xia, J. Eric Schmitt, Mihye Ahn, Jessica B. Girault, Veronica Murphy, Gang Li, Wang Li, Dinggang Shen, Fei Zou, Hongtu Zhu, Martin Styner, Rebecca C. Knickmeyer, John H Gilmore. Human Brain Mapping, 2018.
  62. A Computational Method for Longitudinal Mapping of Orientation-specific Expansion of Cortical Surface in Infants
    Jing Xia, Fan Wang, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, Caiming Zhang, Dinggang Shen, Gang Li. Medical Image Analysis, 2018.
  63. Spatiotemporal Analysis of Developing Brain Networks
    Ping He, Xiaohua Xu, Han Zhang, Gang Li, Jingxin Nie, Pew-Thian Yap, Dinggang Shen. Frontiers in Neuroinformatics, 2018.
  64. Discovering Cortical Sulcal Folding Patterns in Neonates Using Large-scale Dataset
    Yu Meng, Gang Li*, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen*. Human Brain Mapping, 2018. *Co-corresponding authors
  65. Multi-Task Prediction of Infant Cognitive Scores from Longitudinal Incomplete Neuroimaging Data
    Ehsan Adeli, Yu Meng, Gang Li, Weili Lin, Dinggang Shen. Neuroimage, 2018.
  66. Computational Neuroanatomy of Baby Brains: A Review
    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. Neuroimage, 2018. #Co-first authors
  67. The UNC/UMN Baby Connectome Project (BCP): An Overview of the Study Design and Protocol Development
    Brittany R. Howell#, Martin A. Styner#, Wei Gao#, Pew-Thian Yap#, Li Wang#, Kristine Baluyot#, Essa Yacoub#, Geng Chen, Keith Jamison, Taylor Potts, Andrew Salzwedel, Gang Li, John H. Gilmore, Joseph Piven, J. Keith Smith, Dinggang Shen, Kamil Ugurbil, Hongtu Zhu, Weili Lin, Jed T. Elison. Neuroimage, 2018. #Co-first authors
  68. Anatomy-guided Joint Tissue Segmentation and Topological Correction for 6-month Infant Brain MRI with Risk of Autism
    Li Wang, Gang Li, Ehsan Adeli, Mingxia Liu, Zhengwang Wu, Yu Meng, Weili Lin, Dinggang Shen. Human Brain Mapping, 2018.
  69. Environmental Influences on Infant Cortical Thickness and Surface Area
    Shaili C. Jha, Kai Xia, Mihye Ahn, Jessica B. Girault, Gang Li, Li Wang, Dinggang Shen, Fei Zou, Hongtu Zhu, Martin Styner, John H. Gilmore, Rebecca C. Knickmeyer. Cerebral Cortex, 2017.
  70. Gyral Net: A New Representation of Cortical Folding Organization
    Hanbo Chen, Yujie Li, Fangfei Ge, Gang Li, Dinggang Shen, Tianming Liu. Medical Image Analysis, 42: 14-25, 2017.
  71. Can We Predict Subject-specific Dynamic Cortical Thickness Maps during Infancy from Birth?
    Yu Meng, Gang Li*, Islem Rekik, Han Zhang, Yaozong Gao, Weili Lin, Dinggang Shen*. Human Brain Mapping, 38(6): 2865–2874, 2017. *Co-corresponding authors
  72. Modeling Rett Syndrome Using TALEN-Edited MECP2 Mutant Cynomolgus Monkeys
    Yongchang Chen, Juehua Yu, Yuyu Niu, Dongdong Qin, Hailiang Liu, Gang Li, Yingzhou Hu, Jiaojian Wang, Yi Lu, Yu Kang, Yong Jiang, Kunhua Wu, Siguang Li, Jingkuan Wei, Jing He, Junbang Wang, Xiaojing Liu, Yuping Luo, Chenyang Si, Raoxian Bai, Kunshan Zhang, Jie Liu, Shaoyong Huang, Zhenzhen Chen, Shuang Wang, Xiaoying Chen, Xinhua Bao, Qingping Zhang, Fuxing Li, Rui Geng, Aibin Liang, Dinggang Shen, Tianzi Jiang, Xintian Hu, Yuanye Ma, Weizhi Ji, Yi Eve Sun. Cell, 169(5): 945–955, 2017.
  73. Joint Prediction of Longitudinal Development of Cortical Surfaces and White Matter Fibers from Neonatal MRI
    Islem Rekik, Gang Li, Yap Pew-Thian, Geng Chen, Weili Lin, Dinggang Shen. NeuroImage, 152: 411-424, 2017.
  74. Structural and Maturational Covariance in Early Childhood Brain Development
    Xiujuan Geng, Gang Li, Zhaohua Lu, Wei Gao, Li Wang, Dinggang Shen, Hongtu Zhu, John H. Gilmore. Cerebral Cortex, 27(3): 1795-1807, 2017.
  75. Reduced White Matter Integrity in Antisocial Personality Disorder: a Diffusion Tensor Imaging Study
    Weixiong Jiang, Feng Shi, Huasheng Liu, Gang Li, Zhongxiang Ding, Hui Shen, Celina Shen, Seong-Whan Lee, Dewen Hu, Wei Wang, Dinggang Shen. Scientific Reports, 7: 43002, 2017.
  76. Learning-based Subject-specific Estimation of Dynamic Maps of Cortical Morphology at Missing Time Points in Longitudinal Infant Studies
    Yu Meng, Gang Li*, Yaozong Gao, Weili Lin, Dinggang Shen*. Human Brain Mapping, 37(11): 4129-4147, 2016. *Co-corresponding authors
  77. Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical Surfaces
    Islem Rekik, Gang Li, Weili Lin, Dinggang Shen. NeuroImage, 135: 152–162, 2016.
  78. Reduced Cortical Thickness and Increased Surface Area in Antisocial Personality Disorder
    Weixiong Jiang#, Gang Li#, Huasheng Liu, Feng Shi, Tao Wang, Celina Shen, Hui Shen, Dewen Hu, Wei Wang, Dinggang Shen. Neuroscience, 337:143-152, 2016. #Co-first authors
  79. High-order Resting-state Functional Connectivity Network for MCI Classification
    Xiaobo Chen, Han Zhang, Yue Gao, Chong-Yaw Wee, Gang Li, Dinggang Shen. Human Brain Mapping, 37(9): 3282-3296, 2016.
  80. Topographic Information based High-order Functional Connectivity and Its Application in Abnormality Detection for Mild Cognitive Impairment
    Han Zhang, Xiaobo Chen, Feng Shi, Gang Li, Min-jeong Kim, Panteleimon Giannakopoulos, Sven Haller, Dinggang Shen. Journal of Alzheimer’s Disease, 54(3): 1095-1112, 2016.
  81. Predicting Infant Cortical Surface Development using a 4D Varifold-based Learning Framework and Local Topography-based Shape Morphing
    Islem Rekik, Gang Li, Weili Lin, Dinggang Shen. Medical Image Analysis, 28: 1–12, 2016.
  82. Automated Segmentation of Dental CBCT Image with Prior-guided Sequential Random Forests
    Li Wang, Yaozong Gao, Feng Shi, Gang Li, Ken-Chung Chen, Zhen Tan, James J. Xia, Dinggang Shen. Medical Physics, 43(1): 336–346, 2016.
  83. Cortical Thickness and Surface Area in Neonates at High Risk for Schizophrenia
    Gang Li, Li Wang, Feng Shi, Amanda E. Lyall, Mihye Ahn, Ziwen Peng, Hongtu Zhu, Weili Lin, John H. Gilmore, Dinggang Shen. Brain Structure and Function, 221(1): 447–461, 2016.
  84. Spatiotemporal Patterns of Cortical Fiber Density in Developing Infants, and Their Relationship with Cortical Thickness
    Gang Li, Tianming Liu, Dong Ni, Weili Lin, John H. Gilmore, Dinggang Shen. Human Brain Mapping, 36(12): 5183–5195, 2015.
  85. Spatial Patterns, Longitudinal Development, and Hemispheric Asymmetries of Cortical Thickness in Infants from Birth to 2 Years of Age
    Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen. The Journal of Neuroscience, 35(24): 9150-9162, 2015.
  86. Cortical asymmetries in unaffected siblings of patients with obsessive–compulsive disorder
    Ziwen Peng, Gang Li, Feng Shi, Changzheng Shi, Qiong Yang, Raymond CK Chan, Dinggang Shen. Psychiatry Research: Neuroimaging, 234(3): 346–351, 2015.
  87. Construction of 4D high-definition cortical surface atlases of infants: Methods and applications
    Gang Li, Li Wang, Feng Shi, John H Gilmore, Weili Lin, Dinggang Shen. Medical Image Analysis, 25(1): 22-36, 2015. (A selection of the best work presented at MICCAI 2014, 12 out of 862 submissions)
  88. Surface vulnerability of cerebral cortex to major depressive disorder
    Daihui Peng, Feng Shi, Gang Li, Drew Fralick, Ting Shen, Meihui Qiu, Jun Liu, Kaida Jiang, Dinggang Shen, Yiru Fang. PLOS ONE, 10(3): e0120704, 2015.
  89. LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images
    Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, and Dinggang Shen. NeuroImage, 108: 160-72, 2015.
  90. Dynamic development of regional cortical thickness and surface area in early childhood
    Amanda E. Lyall, Feng Shi, Xiujuan Geng, Sandra Woolson, Gang Li, Li Wang, Robert M. Hamer, Dinggang Shen, John H. Gilmore. Cerebral Cortex, 25(8): 2204-2212, 2015.
  91. Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants
    Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen. Medical Image Analysis, 18(8): 1274–1289, 2014. (A selection of the best work presented at MICCAI 2013, 10 out of 798 submissions)
  92. Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants
    Yu Meng#, Gang Li#, Weili Lin, John H. Gilmore, Dinggang Shen. NeuroImage, 100: 206-218, 2014. #Co-first authors
  93. Mapping longitudinal development of local cortical gyrification in infants from birth to 2 years of age
    Gang Li, Li Wang, Feng Shi, Amanda E. Lyall, Weili Lin, John H. Gilmore, Dinggang Shen. The Journal of Neuroscience, 34(12): 4228-4238, 2014. (Highlighted in the National Institute of Mental Health (NIMH)’s 2015-2020 Strategic Plan)
  94. Longitudinal development of cortical thickness, folding, and fiber density networks in the first 2 years of life
    Jingxin Nie, Gang Li, Li Wang, Feng Shi, Weili Lin, John H. Gilmore, Dinggang Shen. Human Brain Mapping, 35(8): 3726–3737, 2014.
  95. Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation
    Li Wang, Feng Shi, Yaozong Gao, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen. NeuroImage, 89: 152–164, 2014.
  96. Measuring the dynamic longitudinal cortex development in infants by reconstruction of temporally consistent cortical surfaces
    Gang Li, Jingxin Nie, Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen. NeuroImage, 90: 266-279, 2014.
  97. Neonatal atlas construction using sparse representation
    Feng Shi, Li Wang, Guorong Wu, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen. Human Brain Mapping, 35(9): 4663–4677, 2014.
  98. Automated bone segmentation from dental CBCT images using patch-based sparse representation and convex optimization
    Li Wang, Ken Chung Chen, Yaozong Gao, Feng Shi, Shu Liao, Gang Li, Steve GF Shen, Jin Yan, Philip K.M. Lee, Ben Chow, Nancy X. Liu,e, James J. Xia, Dinggang Shen. Medical Physics, 41: 043503, 2014.
  99. Mapping longitudinal hemispheric structural asymmetries of the human cerebral cortex from birth to 2 years of age
    Gang Li, Jingxin Nie, Li Wang, Feng Shi, Amanda E. Lyall, Weili Lin, John H. Gilmore, Dinggang Shen. Cerebral Cortex, 24(5): 1289-1300, 2014.
  100. Segmentation of neonatal brain MR images using patch-driven level sets
    Li Wang, Feng Shi, Gang Li, Yaozong Gao, Weili Lin, John H. Gilmore, Dinggang Shen. NeuroImage, 84: 141–158, 2014.
  101. Knowledge-guided robust MRI brain extraction for diverse large-scale neuroimaging studies on humans and non-human primates
    Yaping Wang, Jingxin Nie, Pew-Thian Yap, Gang Li, Feng Shi, Xiujuan Geng, Lei Guo, Dinggang Shen. PLOS ONE, 9(1): e77810, 2014.
  102. Mapping region-specific longitudinal cortical surface expansion from birth to 2 years of age
    Gang Li, Jingxin Nie, Li Wang, Feng Shi, Weili Lin, John H. Gilmore, Dinggang Shen. Cerebral Cortex, 23(11): 2724-2733, 2013.
  103. Development of cortical anatomical properties from early childhood to early adulthood
    Jingxin Nie, Gang Li, Dinggang Shen. NeuroImage, 76: 216–224, 2013.
  104. 4D segmentation of brain MR images with constrained cortical thickness variation
    Li Wang, Feng Shi, Gang Li, Dinggang Shen. PLOS ONE, 8(7): e64207, 2013.
  105. Improving segmentation of 3D touching cell nuclei using flow tracking on surface meshes
    Gang Li, Lei Guo. International Journal of Computational Biology and Drug Design. 5(1), 2012.
  106. Axonal fiber terminations concentrate on gyri
    Jingxin Nie, Lei Guo, Kaiming Li, Yonghua Wang, Guojun Chen, Longchuan Li, Hanbo Chen, Fan Deng, Xi Jiang, Tuo Zhang, Ling Huang, Carlos Faraco, Degang Zhang, Cong Guo, Pew-Thian Yap, Xintao Hu, Gang Li, Jinglei Lv, Yixuan Yuan, Dajiang Zhu, Junwei Han, Dean Sabatinelli, Qun Zhao, L Stephen Miller, Bingqian Xu, Ping Shen, Simon Platt, Dinggang Shen, Xiaoping Hu and Tianming Liu. Cerebral Cortex, 22(12): 2831-2839, 2012. (Cover Art)
  107. Consistent reconstruction of cortical surfaces from longitudinal brain MR images
    Gang Li, Jingxin Nie, Guorong Wu, Yaping Wang, Dinggang Shen, ADNI. NeuroImage, 59: 3805–3820, 2012.
  108. A computational growth model for measuring dynamic cortical development in the first year of life
    Jingxin Nie, Gang Li, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen. Cerebral Cortex, 22(10): 2272-2284, 2012.
  109. Consistent sulcal parcellation of longitudinal cortical surfaces
    Gang Li, Dinggang Shen. NeuroImage, 57: 76–88, 2011.
  110. Gyral folding pattern analysis via surface profiling
    Kaiming Li, Lei Guo, Gang Li, Jingxin Nie, Carlos Faraco, Guangbin Cui, Qun Zhao, L. Stephen Miller, Tianming Liu. NeuroImage, 52(4): 1202-1214, 2010.
  111. An automated pipeline for cortical sulcal fundi extraction
    Gang Li, Lei Guo, Jingxin Nie, Tianming Liu. Medical Image Analysis, 14(3): 343–359, 2010.
  112. A computational model of cerebral cortex folding
    Jingxin Nie, Lei Guo, Gang Li, Tianming Liu. Journal of Theoretical Biology, 264(2): 467–478, 2010. (Reported by NIH/Stanford Biomedical Computation Review)
  113. Automatic cortical sulcal parcellation based on surface principal direction flow field tracking
    Gang Li, Lei Guo, Jingxin Nie, Tianming Liu. NeuroImage, 46(4): 923-937, 2009.
  114. Deformation invariant attribute vector for deformable registration of longitudinal brain MR images
    Gang Li, Lei Guo, Tianming Liu. Computerized Medical Imaging and Graphics, 33(5): 384-398, 2009
  115. Review of methods for functional brain connectivity detection using fMRI
    Kaiming Li, Lei Guo, Jingxin Nie, Gang Li, Tianming Liu. Computerized Medical Imaging and Graphics, 33(2): 131-139, 2009.
  116. Segmentation of touching cell nuclei using gradient flow tracking
    Gang Li, Tianming Liu, Jingxin Nie, Lei Guo, Jian Chen, Jinmin Zhu, Weiming Xia, Andrew Mara, Scott Holly, Stephen TC Wong. Journal of Microscopy, 231(1): 47–58, 2008.
  117. An automated method for cell detection in zebrafish
    Tianming Liu, Gang Li, Jingxin Nie, Ashley Tarokh, Xiaobo Zhou, Lei Guo, Jarema Malicki, Weiming Xia, Stephen TC Wong. Neuroinformatics, 6(1): 5-21, 2008.
  118. ZFIQ: a software package for zebrafish biology
    Tianming Liu, Jingxin Nie, Gang Li, Lei Guo, Stephen TC Wong. Bioinformatics, 24(3): 438-439, 2008.
  119. Detection of blob objects in microscopy zebrafish images based on gradient vector diffusion
    Gang Li, Tianming Liu, Jingxin Nie, Lei Guo, Jarema Malicki, Andrew Mara, Scott Holly, Weiming Xia, Stephen TC Wong. Cytometry Part A, 71(10): 835-845, 2007. (Cover Page)
  120. Least-square conformal brain mapping with spring energy
    Jingxin Nie, Tianming Liu, Gang Li, Geoffrey Young, Ashley Tarokh, Lei Guo, Stephen TC Wong. Computerized Medical Imaging and Graphics, 31(8): 656-664, 2007.
  121. 3D cell nuclei segmentation based on gradient flow tracking
    Gang Li, Tianming Liu, Ashley Tarokh, Jingxin Nie, Lei Guo, Andrew Mara, Scott Holley, Stephen TC Wong. BMC Cell Biology, 8:40, 2007. (Highly Accessed, Recommended by Faculty of 1000)

Full-length Conference Articles

  1. Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development
    Xinrui Yuan, Jiale Cheng, Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Yu Zhang, Gang Li. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023. (Early Acceptance, Oral Presentation, MICCAI WiM Best Oral Presentation Award Honourable Mention)
  2. Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning
    Zhengwang Wu, Jiale Cheng, Fenqiang Zhao, Ya Wang, Yue Sun, Dajiang Zhu, Tianming Liu, Valerie Jewells, Weili Lin, Li Wang, Gang Li. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023. (Early Acceptance)
  3. Prediction of Infant Cognitive Development with Cortical Surface-based Multimodal Learning
    Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, Li Wang, Weili Lin, Gang Li. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023. (Early Acceptance)
  4. Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization
    Fenqiang Zhao, Zhengwang Wu, Dajiang Zhu, Tianming Liu, John H Gilmore, Weili Lin, Li Wang, Gang Li. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.
  5. Path-Based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis
    Ruiyan Fang, Yu Li, Xin Zhang, Shengxian Chen, Jiale Cheng, Xiangmin Xu, Jieling Wu, Weili Lin, Li Wang, Zhengwang Wu, Gang Li. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.
  6. Collaborative Modality Generation and Tissue Segmentation for Early-Developing Macaque Brain MR Images
    Xueyang Wu, Tao Zhong, Shujun Liang, Li Wang, Gang Li, Yu Zhang. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.
  7. Towards Unified Modality Understanding for Alzheimer’s Disease Diagnosis Using Incomplete Multi-modality Data
    Kangfu Han, Fenqiang Zhao, Dajiang Zhu, Tianming Liu, Feng Yang, Gang Li. MICCAI Workshop on Machine Learning in Medical Imaging, 2023.
  8. Dual-Stream Model with Brain Metrics and Images for MRI-Based Fetal Brain Age Estimation
    Shengxian Chen, Xin Zhang, Ruiyan Fang, Wenhao Zhang, He Zhang, Chaoxiang Yang, Gang Li. MICCAI Workshop on Machine Learning in Medical Imaging, 2023.
  9. Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting
    Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik. MICCAI Workshop on PRedictive Intelligence In MEdicine, 2023.
  10. Deformable Spherical Transformer for Cerebellar Surface Parcellation
    Jiale Cheng, Fenqiang Zhao, Zhengwang Wu, Ya Wang, Xinrui Yuan, Yue Sun, Weili Lin, Li Wang, Xin Zhang, Gang Li. The IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena de Indias, Colombia, April 18-21, 2023.
  11. Geometric Constrained Deep Learning for Motion Correction of Fetal Brain MR Images
    Laifa Ma, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, He Zhang, Kenli Li, Gang Li. The IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena de Indias, Colombia, April 18-21, 2023.
  12. Fast Spherical Mapping of Cortical Surface Meshes Using Deep Unsupervised Learning
    Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Gang Li. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022. (Oral Presentation)
  13. Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network
    Xiaowei Yu, Dan Hu, Lu Zhang, Ying Huang, Zhengwang Wu, Tianming Liu, Li Wang, Weili Lin, Dajiang Zhu, Gang Li. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022. (Early Acceptance)
  14. Spherical Transformer on Cortical Surfaces
    Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, Li Wang, Weili Lin, Gang Li. MICCAI Workshop on Machine Learning in Medical Imaging, 2022. (Oral Presentation)
  15. Spherical Transformer for Quality Assessment of Pediatric Cortical Surfaces
    Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Ya Wang, Ying Huang, Weili Lin, Li Wang, Gang Li. The IEEE International Symposium on Biomedical Imaging (ISBI), Kolkata, India, Mar. 28-31, 2022.
  16. Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks
    Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Gang Li. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, Sep 2021.
  17. A Deep Network for Joint Registration and Parcellation of Cortical Surfaces
    Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Gang Li. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, Sep 2021. (Travel Award)
  18. Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network
    Yuchen Pei, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Tao Zhong, Ya Wang, Changan Chen, Li Wang, He Zhang, Lisheng Wang, Gang Li. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, Sep 2021.
  19. Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction
    Dan Hu, Weiyan Yin, Zhengwang Wu, Liangjun Chen, Li Wang, Weili Lin, Gang Li. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, Sep 2021.
  20. Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases based on Deep Learning
    Liangjun Chen, Zhengwang Wu, Dan Hu, Yuchen Pei, Fenqiang Zhao, Yue Sun, Ya Wang, Weili Lin, Li Wang, Gang Li. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Strasbourg, France, Sep 2021.
  21. Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction
    Yu Li, Jiale Cheng, Xin Zhang, Ruiyan Fang, Lufan Liao, Xinyao Ding, Hao Ni, Xiangmin Xu, Zhengwang Wu, Dan Hu, Weili Lin, Li Wang, John H Gilmore, Gang Li. MICCAI MLMI Workshop 2021, Strasbourg, France, Sep 2021. (Oral Presentation)
  22. Multi-Scale Self-Supervised Learning for Multi-Site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts
    Yue Sun, Kun Gao, Weili Lin, Gang Li, Sijie Niu, Li Wang. MICCAI MLMI Workshop 2021, Strasbourg, France, Sep 2021. (Oral Presentation)
  23. A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint
    Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik. MICCAI PRIME Workshop 2021, Strasbourg, France, Sep 2021. (Oral Presentation)
  24. Unsupervised Learning for Spherical Surface Registration
    Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Li, and The UNC/UMN Baby Connectome Project Consortium. MLMI 2020, Lima, Peru, Oct 4-8, 2020.
  25. Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI
    Yuchen Pei, Lisheng Wang, Fenqiang Zhao, Tao Zhong, Lufan Liao, Dinggang Shen, Gang Li. MLMI 2020, Lima, Peru, Oct 4-8, 2020.
  26. Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization
    Songyao Zhang, Lei Du, Jinglei Lv, Zhibin He, Xi Jiang, Lei Guo, Li Wang, Tianming Liu, Dinggang Shen, Gang Li, Tuo Zhang. MLMI 2020, Lima, Peru, Oct 4-8, 2020.
  27. Semi-supervised Transfer Learning for Infant Cerebellum Tissue Segmentation
    Yue Sun, Kun Gao, Sijie Niu, Weili Lin, Gang Li, Li Wang and The UNC/UMN Baby Connectome Project Consortium. MLMI 2020, Lima, Peru, Oct 4-8, 2020.
  28. Joint Image Quality Assessment and Brain Extraction of Fetal MRI using Deep Learning
    Lufan Liao, Xin Zhang, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Li Wang, He Zhang, Dinggang Shen, Gang Li. MICCAI 2020, Lima, Peru, Oct 4-8, 2020.
  29. Infant Cognitive Scores Prediction With Multi-stream Attention-based Temporal Path Signature Features
    Xin Zhang, Jiale Cheng, Hao Ni, Chenyang Li, Xiangmin Xu, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li. MICCAI 2020, Lima, Peru, Oct 4-8, 2020.
  30. A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation
    Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Zhanhao Mo, Weili Lin, Li Wang, Dinggang Shen, Gang Li, and the UNC/UMN Baby Connectome Project Consortium. MICCAI 2020, Lima, Peru, Oct 4-8, 2020.
  31. Construction of Spatiotemporal Infant Cortical Surface Functional Templates
    Ying Huang, Fan Wang, Zhengwang Wu, Zengsi Chen, Han Zhang, Li Wang, Weili Lin, Dinggang Shen, Gang Li, and the UNC/UMN Baby Connectome Project Consortium. MICCAI 2020, Lima, Peru, Oct 4-8, 2020.
  32. Domain-invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains
    Tao Zhong, Yu Zhang, Fenqiang Zhao, Yuchen Pei, Lufan Liao, Zhenyuan Ning, Li Wang, Dinggang Shen, Gang Li. MICCAI 2020, Lima, Peru, Oct 4-8, 2020.
  33. Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting
    Dan Hu, Fan Wang, Han Zhang, Zhengwang Wu, Li Wang, Weili Lin, Gang Li, Dinggang Shen, and the UNC/UMN Baby Connectome Project Consortium. MICCAI 2020, Lima, Peru, Oct 4-8, 2020.
  34. A computational framework for dissociating development-related from individually variable flexibility in regional modularity assignment in early infancy
    Mayssa Soussia, Xuyun Wen, Zhen Zhou, Bing Jin, Tae-Eui Kam, Li-Ming Hsu, Zhengwang Wu, Gang Li, Li Wang, Islem Rekik, Weili Lin, Dinggang Shen, Han Zhang, and the UNC/UMN Baby Connectome Project Consortium. MICCAI 2020, Lima, Peru, Oct 4-8, 2020.
  35. Multi-Branch Deformable Convolutional Neural Network with Label Distribution Learning for Fetal Brain Age Prediction
    Lufan Liao, Xin Zhang, Fenqiang Zhao, Jingjiao Lou, Li Wang, Xiangmin Xu, He Zhang, Gang Li. The IEEE International Symposium on Biomedical Imaging (ISBI), Iowa, USA, Apr. 3-7, 2020.
  36. Siamese Verification Framework for Autism Identification During Infancy Using Cortical Path Signature Features
    Xin Zhang, Xinyao Ding, Zhengwang Wu, Jing Xia, Hao Ni, Xiangmin Xu, Lufan Liao, Li Wang, Gang Li. The IEEE International Symposium on Biomedical Imaging (ISBI), Iowa, USA, Apr. 3-7, 2020.
  37. 7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested Network
    Jie Wei, Duc Toan Bui, Zhengwang Wu, Li Wang, Yong Xia, Gang Li, Dinggang Shen. The IEEE International Symposium on Biomedical Imaging (ISBI), Iowa, USA, Apr. 3-7, 2020.
  38. 6-month Infant Brain MRI Segmentation Guided By 24-month Data Using Cycle-Consistent Adversarial Networks
    Duc Toan Bui, Li Wang, Weili Lin, Gang Li, Dinggang Shen. The IEEE International Symposium on Biomedical Imaging (ISBI), Iowa, USA, Apr. 3-7, 2020.
  39. Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI using Bidirectionally Supervised Sample Selection
    Olfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, and Islem Rekik. PRIME 2019, Shenzhen, China, Oct 13, 2019. (Oral Presentation)
  40. Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration
    Dongming Wei, Sahar Ahmad, Zhengwang Wu, Xiaohuan Cao, Xuhua Ren, Gang Li, Dinggang Shen, Qian Wang. MLMI 2019, Shenzhen, China, Oct 13, 2019. (Oral Presentation)
  41. Automatic Fetal Brain Extraction Using Multi-Stage U-Net with Deep Supervision
    Jingjiao Lou, Dengwang Li, Toan D. Bui, Fenqiang Zhao, Liang Sun, Gang Li, Dinggang Shen. MLMI 2019, Shenzhen, China, Oct 13, 2019. (Oral Presentation)
  42. A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism
    Guannan Li, Meng-Hsiang Chen, Gang Li, Di Wu, Chunfeng Lian, Quansen Sun, Dinggang Shen, Li Wang. GLMI 2019, Shenzhen, China, Oct 17, 2019.
  43. CNS: CycleGAN-assisted Neonatal Segmentation Model for Cross-Datasets
    Jian Chen, Zhenghan Fang, Deqiang Xiao, Duc Toan Bui, Kim-Han Thung, Xianjun Li, Jian Yang, Weili Lin, Gang Li, Dinggang Shen and Li Wang. GLMI 2019, Shenzhen, China, Oct 17, 2019.
  44. Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance
    Duc Toan Bui, Li Wang, Jian Chen, Jian Yang, Weili Lin, Gang Li, Dinggang Shen. MIL 2019, Shenzhen, China, Oct 17, 2019.
  45. Harmonization of Infant Cortical Thickness using Surface-to-Surface Cycle-Consistent Adversarial Networks
    Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Li, and the UNC/UMN Baby Connectome Project Consortium. MICCAI 2019, Shenzhen, China, Oct 13-17, 2019. (Oral Presentation, Travel Award)
  46. Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties
    Fan Wang, Chunfeng Lian, Zhengwang Wu, Li Wang, John Gilmore, Weili Lin, Dinggang Shen, Gang Li. MICCAI 2019, Shenzhen, China, Oct 13-17, 2019.
  47. Deep Granular Feature-Label Distribution Learning for Neuroimaging-based Infant Age Prediction
    Dan Hu, Han Zhang, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen, and the UNC/UMN Baby Connectome Project Consortium. MICCAI 2019, Shenzhen, China, Oct 13-17, 2019.
  48. Intrinsic Patch-based Cortical Anatomical Parcellation using Graph Convolutional Neural Network on Surface Manifold
    Zhengwang Wu, Fenqiang Zhao, Jing Xia, Li Wang, Gang Li, Dinggang Shen. MICCAI 2019, Shenzhen, China, Oct 13-17, 2019.
  49. Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brains
    Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen, and the UNC/UMN Baby Connectome Project Consortium. MICCAI 2019, Shenzhen, China, Oct 13-17, 2019.
  50. Spherical U-Net on Cortical Surfaces: Methods and Applications
    Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Dingna Duan, Li Wang, Weili Lin, John Gilmore, Dinggang Shen, Gang Li. Information Processing in Medical Imaging (IPMI), HKUST, Hong Kong. June 2-7, 2019. (IPMI Scholarship)
  51. Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces
    Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen. Information Processing in Medical Imaging (IPMI), HKUST, Hong Kong. June 2-7, 2019. (Oral Presentation, IPMI Scholarship)
  52. A Preliminary Volumetric MRI Study of Amygala and Hippocampal Subfields in Autism During Infancy
    Guannan Li, Meng-Hsiang Chen, Gang Li, Di Wu, Quansen Sun, Dinggang Shen, Li Wang. The IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, Apr. 8-11, 2019. (Oral Presentation)
  53. FRNET: Flattened Residual Network for Infant MRI Skull Stripping
    Qian Zhang, Li Wang, Xiaopeng Zong, Weili Lin, Gang Li, Dinggang Shen. The IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, Apr. 8-11, 2019. (Oral Presentation)
  54. Charting Development-Based Joint Parcellation Maps of Human and Macaque Brains During Infancy
    Jing Xia, Fan Wang, Zhengwang Wu, Li Wang, Caiming Zhang, Weili Lin, Dinggang Shen, Gang Li. The IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, Apr. 8-11, 2019.
  55. Spherical U-Net for Infant Cortical Surface Parcellation
    Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Li Wang, Zengsi Chen, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li. The IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, Apr. 8-11, 2019. (Oral Presentation)
  56. Cortical FoldingPrints for Infant Identification
    Dingna Duan, Shunren Xia, Zhengwang Wu, Fan Wang, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li. The IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, Apr. 8-11, 2019.
  57. Construction of 4D Neonatal Cortical Surface Atlases Using Wasserstein Distance
    Zengsi Chen, Zhengwang Wu, Liang Sun, Fan Wang, Li Wang, Fenqiang Zhao, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li. The IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, Apr. 8-11, 2019. (Oral Presentation)
  58. Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net
    Liang Sun, Daoqiang Zhang, Li Wang, Wei Shao, Weili Lin, Dinggang Shen, Gang Li. MLMI 2018 (MICCAI Workshop), Granada, Spain, Sep. 16, 2018
  59. Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network
    Jiawei Chen, Han Zhang, Dong Nie, Li Wang, Gang Li, Weili Lin, Dinggang Shen. MLMI 2018 (MICCAI Workshop), Granada, Spain, Sep. 16, 2018
  60. Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding
    Oualid Benkarim, Gerard Sanroma, Gemma Piella, Miguel Angel González Ballester, Nadine Hahner, Elisenda Eixarch, Islem Rekik, Dinggang Shen, Gang Li. MICCAI 2018, Granada, Spain, Sep. 16-20, 2018. (Oral Spotlight, Travel Award, Best Student Paper Runner-Up)
  61. Registration-Free Infant Cortical Surface Parcellation using Deep Convolutional Neural Networks
    Zhengwang Wu, Gang Li, Li Wang, Feng Shi, Weili Lin, John H. Gilmore, Dinggang Shen. MICCAI 2018, Granada, Spain, Sep. 16-20, 2018.
  62. Do Baby Brain Cortices that Look Alike at Birth Grow Alike During The First Year of Postnatal Development?
    Islem Rekik, Gang Li, Weili Lin, Dinggang Shen. MICCAI 2018, Granada, Spain, Sep. 16-20, 2018.
  63. Volume-based Analysis of 6-month-old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis
    Li Wang, Gang Li, Feng Shi, Xiaohuan Cao, Chunfeng Lian, Dong Nie, Mingxia Liu, Han Zhang, Guannan Li, Weili Lin, Dinggang Shen. MICCAI 2018, Granada, Spain, Sep. 16-20, 2018.
  64. Fetal Cortical Parcellation Based on Growth Patterns
    Jing Xia, Caiming Zhang, Fan Wang, Oualid M. Benkarim, Gerard Sanroma, Gemma Piella, Miguel Angel Gonzalez Ballester, Nadine Hahner, Elisenda Eixarch, Dinggang Shen, Gang Li. IEEE International Symposium on Biomedical Imaging (ISBI), Washington DC, USA, April 2018.
  65. A Computational Method for Longitudinal Mapping of Orientation-specific Expansion of Cortical Surface in Infants
    Jing Xia, Caiming Zhang, Fan Wang, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li. IEEE International Symposium on Biomedical Imaging (ISBI), Washington DC, USA, April 2018.
  66. Construction of Spatiotemporal Infant Cortical Surface Atlas of Rhesus Macaque
    Fan Wang, Chunfeng Lian, Jing Xia, Zhengwang Wu, Dingna Duan, Li Wang, Dinggang Shen, Gang Li. IEEE International Symposium on Biomedical Imaging (ISBI), Washington DC, USA, April 2018.
  67. Estimation of Shape and Growth Brain Network Atlases for Connectomic Brain Mapping in Developing Infants
    Islem Rekik, Gang Li, Weili Lin, Dinggang Shen. IEEE International Symposium on Biomedical Imaging (ISBI), Washington DC, USA, April 2018.
  68. Construction of Spatiotemporal Neonatal Cortical Surface Atlases using a Large-Scale Dataset
    Zhengwang Wu, Gang Li, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen. IEEE International Symposium on Biomedical Imaging (ISBI), Washington DC, USA, April 2018. (Oral Presentation)
  69. Infant Brain Development Prediction with Latent Partial Multi-View Representation Learning
    Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen. IEEE International Symposium on Biomedical Imaging (ISBI), Washington DC, USA, April 2018. (Oral Presentation)
  70. Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity
    Junyi Yan, Yu Meng, Gang Li, Weili Lin, Dazhe Zhao, Dinggang Shen. MICCAI Workshop on Machine Learning in Medical Imaging (MLMI), Quebec, Canada, Sep. 10, 2017, LNCS 10541: 194–202.
  71. Exploring Gyral Patterns of Infant Cortical Folding based on Multi-view Curvature Information
    Dingna Duan, Shunren Xia, Yu Meng, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Quebec, Canada, Sep. 10-14, 2017, LNCS 10433: 12-20.
  72. Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface
    Gang Li, Li Wang, Weili Lin, Dinggang Shen. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Quebec, Canada, Sep. 10-14, 2017, LNCS 10433: 66-74.
  73. 4D Infant Cortical Surface Atlas Construction using Spherical Patch-based Sparse Representation
    Zhengwang Wu, Gang Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Quebec, Canada, Sep. 10-14, 2017, LNCS 10433: 57-65.
  74. Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data
    Ehsan Adeli, Yu Meng, Gang Li, Weili Lin, Dinggang Shen. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Quebec, Canada, Sep. 10-14, 2017, LNCS 10433: 40-48.
  75. Estimation of Brain Nework Alases using Dffusive-shinking Graphs: Application to Developing Brains
    Islem Rekik, Gang Li, Weili Lin, Dinggang Shen. Information Processing in Medical Imaging (IPMI), Boone, NC, USA, June 25-30, 2017, LNCS 10265: 385-397.
  76. Longitudinal Multi-scale Mapping of Infant Cortical Folding using Spherical Wavelets
    Dingna Duan, Islem Rekik, Shunren Xia, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li. IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, April 18-21, 2017, pp 93-96.
  77. Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces using Large-scale Dataset
    Yu Meng, Gang Li, Li Wang, Weili Lin, John Gilmore, Dinggang Shen. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Athens, Greece, October 2016, LNCS 9900: 10-18.
  78. Learning-based Topological Correction for Infant Cortical Surfaces
    Shijie Hao, Gang Li, Li Wang, Yu Meng, Dinggang Shen. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Athens, Greece, October 2016, LNCS 9900: 219-227.
  79. A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts using Neonatal Data
    Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Athens, Greece, October 2016, LNCS 9900: 210-218.
  80. LATEST: Local AdapTivE and Sequential Training for tissue segmentation of isointense infant brain MR images
    Li Wang, Yaozong Gao, Gang Li, Feng Shi, Weili Lin, Dinggang Shen. MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (MCV), Athens, Greece, October 2016, LNCS 10081: 26-34.
  81. Parcellation of Infant Surface Atlas using Developmental Trajectories of Multidimensional Cortical Attributes
    Gang Li, Li Wang, John Gilmore, Weili Lin, Dinggang Shen. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Munich, Germany, October 2015, LNCS 9351: 543-550.
  82. Topography-based Registration of Developing Cortical Surfaces in Infants using Multidirectional Varifold Representation
    Islem Rekik, Gang Li, Weili Lin, Dinggang Shen. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Munich, Germany, October 2015, LNCS 9350: 230-237. (Oral Presentation, Acceptance Rate: 4.5%)
  83. Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study
    Yu Meng, Gang Li, Weili Lin, John H Gilmore, Dinggang Shen. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Munich, Germany, October 2015, LNCS 9351: 560-568.
  84. Subject-specific Estimation of Missing Cortical Thickness Maps in Dynamic Developing Infant Brains
    Yu Meng, Gang Li, Yaozhong Gao, John H. Gilmore, Weili Lin, Dinggang Shen. MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (MCV), Munich, Germany, October 2015, LNCS 9601: 83-92. (Oral Presentation)
  85. Automated Segmentation of CBCT Image with Prior-guided Sequential Random Forest
    Li Wang, Yaozong Gao, Feng Shi, Gang Li, James Xia, Dinggang Shen. MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (MCV), Munich, Germany, October 2015, LNCS 9601: 72-82. (Oral Presentation)
  86. Prediction of Infant MRI Appearance and Anatomical Structure Evolution using Sparse Patch-based Metamorphosis Learning Framework
    Islem Rekik, Gang Li, Guorong Wu, Weili Lin, Dinggang Shen. MICCAI Workshop on Patch-based Techniques in Medical Imaging (Patch-MI), Munich, Germany, October 2015, LNCS 9467: 197-204.
  87. Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis
    Li Wang, Feng Shi, Yaozong Gao, Gang Li, Weili Lin, Dinggang Shen. MICCAI Workshop on Patch-based Techniques in Medical Imaging (Patch-MI), Munich, Germany, October 2015, LNCS 9467: 28-36.
  88. Prediction of Longitudinal Development of Infant Cortical Surface Shape using a 4D Current-based Learning Framework
    Islem Rekik, Gang Li, Weili Lin, Dinggang Shen. International Conference on Information Processing in Medical Imaging (IPMI), Scotland, UK, June 2015, LNCS 9123: 576-587.
  89. Automatic Parcellation of Cortical Surfaces using Random Forests
    Yu Meng, Gang Li, Yaozong Gao, Dinggang Shen. IEEE International Symposium on Biomedical Imaging (ISBI), New York, USA, April 2015, pp. 810-813. (Oral Presentation)
  90. Constructing 4D Infant Cortical Surface Atlases based on Dynamic Developmental Trajectories of the Cortex
    Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Boston, USA, September 2014, LNCS 8675: 89-96. (Oral Presentation, Acceptance Rate: 4.2%; Final List of Medical Image Analysis MICCAI 2014 Best Paper Award)
  91. Spatial Distribution and Longitudinal Development of Deep Cortical Sulcal Landmarks in Infants
    Yu Meng, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen. IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, April 2014, pp. 1214-1217.
  92. Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants
    Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Nagoya, Japan, September, 2013, LNCS 8149: 58-65. (Oral Presentation, Acceptance Rate: 4.6%; Final List of Medical Image Analysis MICCAI 2013 Best Paper Award)
  93. Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation
    Li Wang, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Nagoya, Japan, September, 2013, LNCS 8149: 703-710.
  94. Automated Segmentation of CBCT Image using Spiral CT Atlases and Convex Optimization
    Li Wang, Ken Chung Chen, Feng Shi, Shu Liao, Gang Li, Yaozong Gao, Steve GF Shen, Jin Yan, Philip K.M. Lee, Ben Chow, Nancy X. Liu, James J. Xia, Dinggang Shen. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Nagoya, Japan, September, 2013, LNCS 8151: 251-258.
  95. Measuring Longitudinally Dynamic Cortex Development in Infants by Reconstruction of Consistent Cortical Surfaces
    Gang Li, Jingxin Nie, Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen. IEEE International Symposium on Biomedical Imaging (ISBI), San Francisco, USA, April, 2013, pp. 1380-1383.
  96. Patch-driven Neonatal Brain MRI Segmentation with Sparse Representation and Level Sets
    Li Wang, Feng Shi, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen. IEEE International Symposium on Biomedical Imaging (ISBI), San Francisco, USA, April, 2013, pp. 1090-1093. (Oral Presentation)
  97. Consistent 4D Brain Extraction of Serial Brain MR Images
    Yaping Wang, Gang Li, Jingxin Nie, Pew-Thian Yap, Lei Guo, Dinggang Shen. SPIE Medical Imaging, Orlando, USA, February 2013, vol. 8669, pp. 86693I.
  98. Mapping Longitudinal Cerebral Cortex Development using Diffusion Tensor Imaging
    Yaping Wang, Gang Li, Mihye Ahn, Jingxin Nie, Hongtu Zhu, Lei Guo. SPIE Medical Imaging, Orlando, USA, February 2013, vol. 8669 pp.86692E.
  99. Partition Cortical Surfaces into Supervertices: Method and Application
    Gang Li, Jingxin Nie, Dinggang Shen. MICCAI Workshop on Mesh Processing in Medical Image Analysis, Nice, France, October 2012, LNCS 7599: 112-121.
  100. Multiple Atlases-based Joint Labeling of Human Cortical Sulcal Curves
    Ilwoo Lyu, Gang Li, Minjeong Kim, and Dinggang Shen. MICCAI workshop on Medical Computer Vision (MCV), Nice, France, October 2012, LNCS 7766: 124-132.
  101. 4D Segmentation of Longitudinal Brain MR images with Consistent Cortical Thickness Measurement
    Li Wang, Feng Shi, Gang Li, Dinggang Shen. MICCAI workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data (STIA), Nice, France, October 2012, LNCS 7570: 63-75.
  102. Consistent Reconstruction of Cortical Surfaces from Longitudinal Brain MR Images
    Gang Li, Jingxin Nie, Dinggang Shen. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Toronto, Canada, September 2011, LNCS 6892: 671-679.
  103. Computational Growth Model for Cortical Development in the First Year of Life
    Jingxin Nie, Gang Li, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen. MICCAI workshop on Image Analysis of Human Brain Development (IAHBD 2011), Toronto, Canada, September 2011.
  104. Consistent Sulcal Parcellation of Longitudinal Cortical Surfaces
    Gang Li, Yang Li, Yaping Wang, Dinggang Shen. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Chicago, USA, March 2011, pp. 337-340.
  105. Automatic Cortical Gyral Parcellation using Probabilistic Atlas and Graph Cuts
    Gang Li, Lei Guo, Tuo Zhang, Jingxin Nie, Tianming Liu. International Workshop on Medical Imaging and Augmented Reality (MIAR), Beijing, China, September 2010, LNCS 6326:438-447.
  106. Cortical Sulcal Bank Segmentation via Geometric Similarity based Graph Partition
    Gang Li, Lei Guo, Tuo Zhang, Jingxin Nie, Tianming Liu. International Workshop on Medical Imaging and Augmented Reality (MIAR), Beijing, China, September 2010, LNCS 6326:108-117. (Oral Presentation)
  107. Direction Field Diffusion on Cortical Surface via Graph Cuts
    Gang Li, Lei Guo, Jingxin Nie, Kaiming Li, Tianming Liu. CVPR Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), San Francisco, USA, June 2010, pp. 95-102.
  108. Cortical Surface based Identification of Brain Networks using High Spatial Resolution Resting State FMRI Data
    Kaiming Li, Lei Guo, Gang Li, Jingxin Nie, Carlos Faraco, Qun Zhao, Stephen Miller, Tianming Liu. IEEE International Symposium on Biomedical Imaging (ISBI), Rotterdam, Netherlands, April 2010, pp. 656-659. (Oral Presentation)
  109. Automatic Cortical Surface Parcellation based on Fiber Density Information
    Degang Zhang, Lei Guo, Gang Li, Jingxin Nie, Xi Jiang, Fan Deng, Kaiming Li, Dajiang Zhu, Qun Zhao, Tianming Liu. IEEE International Symposium on Biomedical Imaging (ISBI), Rotterdam, Netherlands, April 2010, pp. 1133-1136.
  110. Joint Analysis of Cortical Folding Pattern, Thickness and Fiber Density using Structural and DTI Data
    Yixuan Yuan, Lei Guo, Gang Li, Tuo Zhang, Xintao Hu, Tianming Liu. IEEE International Symposium on Biomedical Imaging (ISBI), Rotterdam, Netherlands, April 2010, pp. 404-407.
  111. Joint Analysis of Fiber Shape and Cortical Folding Patterns
    Xintao Hu, Lei Guo, Tuo Zhang, Gang Li, Jingxin Nie, Xi Jiang, Tianming Liu. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Rotterdam, Netherlands, April 2010, pp. 1165-1168.
  112. Gyral Parcellation of Cortical Surfaces via Coupled Flow Field Tracking
    Gang Li, Lei Guo, Kaiming Li, Jingxin Nie, Tianming Liu. SPIE Medical Imaging, San Diego, USA, February 2010, pp. 762348-762348-11.
  113. Optimal Combination of Multiple Cortical Surface Parcellations
    Xintao Hu, Lei Guo, Gang Li, Kaiming Li, Tianming Liu. SPIE Medical Imaging, San Diego, USA, February 2010, pp. 762342-762342-9.
  114. A Computational Model of Cerebral Cortex Folding
    Jingxin Nie, Gang Li, Lei Guo, Tianming Liu. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), London, UK, September 2009, LNCS 5761: 313-320.
  115. Gyral Folding Pattern Analysis via Surface Profiling
    Kaiming Li, Lei Guo, Gang Li, Jingxin Nie, Carlos Faraco, Qun Zhao, Stephen Miller, Tianming Liu. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), London, UK, September 2009, LNCS 5762: 458-465. (Oral Presentation, Acceptance Rate: 5.3%; Runner-Up of MICCAI Yong Scientist Award)
  116. Parametric Representation of Cortical Surface Folding Based on Polynomials
    Tuo Zhang, Lei Guo, Gang Li, Jingxin Nie, Tianming Liu. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), London, UK, September 2009, LNCS 5761: 184-191.
  117. Automatic Cortical Sulcal Parcellation based on Surface Principal Direction Flow Field Tracking
    Gang Li, Lei Guo, Jingxin Nie, Tianming Liu. International Conference on Information Processing in Medical Imaging (IPMI), Williamsburg, USA, July 2009, LNCS 5636: 202-214.
  118. Grouping of Brain MR Images via Affinity Propagation
    Gang Li, Lei Guo, Tianming Liu. IEEE International Symposium on Circuits and Systems (ISCAS), Taipei, Taiwan, May 2009, pp. 2425-2428. (Oral Presentation)
  119. A Novel Method for Cortical Sulcal Fundi Extraction
    Gang Li, Tianming Liu, Jingxin Nie, Lei Guo, Stephen TC Wong. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), New York, USA, September 2008, LNCS 5241: 270-278.
  120. ZFIQ: Zebrafish Image Quantitator
    Tianming Liu, Jingxin Nie, Gang Li, Lei Guo, Stephen TC Wong. IEEE/NIH Life Science Systems and Applications Workshop (LISSA), Bethesda, USA, November 2007, pp. 59-62.
  121. Segmentation of Touching Cells using Gradient Flow Tracking
    Gang Li, Tianming Liu, Jingxin Nie, Lei Guo, Stephen TC Wong. IEEE International Symposium on Biomedical Imaging (ISBI), Washington, DC, USA, April 2007, pp. 77-80. (NIH Travel Grant Award)
  122. Zebrafish Cell/Neuron Quantitation by Modified Circular Hough Transform
    Tianming Liu, Jianfeng Lu, Jingxin Nie, Gang Li, Hui Yan, Jingyu Yang, Lei Guo, Weiming Xia, Stephen TC Wong. IEEE/NIH Life Science Systems and Applications Workshop (LISSA), Bethesda, USA, July 2006.
  123. Deformation Invariant Attribute Vector for 3D Image Registration: Method and Validation
    Gang Li, Tianming Liu, Geoffrey Young, Lei Guo, Stephen TC Wong. IEEE International Symposium on Biomedical Imaging (ISBI), Arlington, USA, April 2006, pp. 442-445.

Conference Abstracts

  1. Construction of Spatiotemporal Cortical Surface Atlases for Fetal Brains
    Zhengwang Wu, Yuchen Pei, Ya Wang, Tao Zhong, Fenqiang Zhao, Li Wang, He Zhang, Gang Li. ISMRM, Online, May 15-20, 2021. (Oral)
  2. Learning 4D Probabilistic Atlas of Fetal Brain with Multi-channel Registration Network
    Yuchen Pei, Fenqiang Zhao, Liangjun Chen, Zhengwang Wu, Tao Zhong, Ya Wang, Li Wang, He Zhang, Gang Li. ISMRM, Online, May 15-20, 2021. (Magna Cum Laude Merit Award)
  3. Longitudinal Brain Atlases of Early Developing Cynomolgus Macaques from Birth to 48 Months of Age
    Tao Zhong, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Yuchen Pei, Ya Wang, Li Wang, Yuyu Niu, Yu Zhang, Gang Li. ISMRM, Online, May 15-20, 2021.
  4. Maternal Obesity during Pregnancy is Associated with Lower Cortical Thickness in the Newborn Brain
    Xiaoxu Na, Natalie Phelan, Marinna Tadros, Aline Andres, Thomas Badger, Charles Glasier, Raghu Ramakrishnaiah, Amy Rowell, Li Wang, Gang Li, Zhengwang Wu, David Williams, Xiawei Ou. ISMRM, Online, May 15-20, 2021. (Oral)
  5. Self-Supervised Transfer Learning for Infant Cerebellum Segmentation with Multi-Domain MRIs
    Yue Sun, Kun Gao, Shihui Ying, Weili Lin, Gang Li, Sijie Niu, Mingxia Liu, Li Wang. ISMRM, Online, May 15-20, 2021. (Oral)
  6. Discovering Developmental Patterns and Parcellation of Cortical Myelin During Infancy
    Ying Huang, Fan Wang, Zhengwang Wu, Tengfei Li, Xifeng Wang, Li Wang, Weili Lin, Dinggang Shen, Gang Li, for UNC/UMN Baby Connectome Project Consortium. OHBM, Montreal, Canada, June 26-July 3, 2020. (Oral Alternate paper)
  7. Generating Age-specific Gradient Density and Parcellation Maps of Functional connectivity in Infants.
    Fan Wang, Han Zhang, Zhengwang Wu, Zhen Zhou, Li Wang, Weili Lin, Dinggang Shen, Gang Li, for UNC/UMN Baby Connectome Project Consortium. OHBM, OHBM, Montreal, Canada, June 26-July 3, 2020.
  8. Longitudinal Surface-Volume Consistent Infant Brain Atlases
    Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap and Dinggang Shen. 105th RSNA Scientific Assembly and Annual Meeting, Chicago, USA, Dec. 1-6, 2019. (Oral Alternate paper)
  9. DS U-net: Deeply Supervised U-net for Fetal Brain Extraction
    Jingjiao Lou, Dengwang Li, Toan D. Bui, Liang Sun, Gang Li,, Dinggang Shen. 105th RSNA Scientific Assembly and Annual Meeting, Chicago, USA, Dec. 1-6, 2019. (Oral presentation)
  10. Symmetrical Functional Connectivity Strength Between Bilateral Anterior Heschl’s Gyri are Negatively Associated with Receptive Function During Infancy
    Koji Yamashita, Han Zhang, Tengfei Li, Xuyun Wen, Bin Jing, Tae-Eui Kam, Liming Hsu, Pew-Thian Yap, Li Wang, Gang Li, Kristine Baluyot, Brittany Howell, Martin Styner, Essa Yacoub, Geng Chen, Taylor Potts, John Gilmore, Joseph Piven, Keith Smith, Kamil Ugurbil, Jed Elison, Heather Hazlett, Hongtu Zhu, Dinggang Shen, Weili Lin. 105th RSNA Scientific Assembly and Annual Meeting, Chicago, USA, Dec. 1-6, 2019. (Oral presentation)
  11. Infant Age Prediction Based on Deep Granular Label Distribution Learning of Cortical Features
    Dan Hu, Zhengwang Wu, Han Zhang, Weili Lin, Gang Li, Dinggang Shen, for UNC/UMN Baby Connectome Project Consortium. OHBM, Rome, Italy, June 9-13, 2019.
  12. Construction of Volume-Surface Consistent Templates for Infant Brain MRI
    Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen. OHBM, Rome, Italy, June 9-13, 2019.
  13. Infant Resting-state FMRI Analysis Pipeline for UNC/UMN Baby Connectome Project
    Han Zhang, Xuyun Wen, Bin Jing, Li-Ming Hsu, Tae-Eui Kam, Zhengwang Wu, Li Wang, Gang Li, Weili Lin, Dinggang Shen, for UNC/UMN Baby Connectome Project Consortium. OHBM, Rome, Italy, June 9-13, 2019.
  14. Month-to-month Development of Brain Functional Networks during Early Infancy
    Han Zhang, Gang Li, Xuyun Wen, Bin Jing, Li-Ming Hsu, Tae-Eui Kam, Weili Lin, Dinggang Shen, for UNC/UMN Baby Connectome Project Consortium. OHBM, Rome, Italy, June 9-13, 2019.
  15. Cortical Morphometric Similarity Networks for Exploring Early Brain Development
    Dingna Duan, Shunren Xia, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li. OHBM, Rome, Italy, June 9-13, 2019.
  16. Hemispheric Asymmetries of Macaque Cortical Properties during Early Brain Development
    Jing Xia, Fan Wan, Zhengwang Wu, Li Wang, Caiming Zhang, Dinggang Shen,Gang Li. OHBM, Rome, Italy, June 9-13, 2019.
  17. Spatiotemporal Patterns of Hemispheric Asymmetries of Cortical Properties during Early Brain Development
    Jing Xia, Zhengwang Wu, Fan Wan, Li Wang, Caiming Zhang, Weili Lin, Dinggang Shen, Gang Li, for UNC/UMN Baby Connectome Project Consortium. OHBM, Rome, Italy, June 9-13, 2019.
  18. A Structural Image Processing Pipeline for the Baby Connectome Project
    Zhengwang Wu, Qian Zhang, Li Wang, Weili Lin, Gang Li, Dinggang Shen, for UNC/UMN Baby Connectome Project Consortium. OHBM, Rome, Italy, June 9-13, 2019.
  19. Construction of 4D Cortical Surface Atlases for the Baby Connectome Project
    Zengsi Chen, Zhengwang Wu, Fan Wan, Jing Xia, Dingna Duan, Qian Zhang, Li Wang, Weili Lin, Gang Li, Dinggang Shen, for UNC/UMN Baby Connectome Project Consortium. OHBM, Rome, Italy, June 9-13, 2019.
  20. Cortical thickness is a sensitive biomarker for characterizing the gray matter abnormities in neonates with mild white matter injury
    Miaomiao Wang#, Jing Xia#, Jian Chen#, Xianjun Li, Congcong Liu, Li Wang, Xiaocheng Wei, Gang Li, Dinggang Shen, Jian Yang. 27th ISMRM, Montreal, QC, Canada, May 11-16, 2019. (Oral)
  21. Building 4D neonatal cortical surface atlases using Wasserstein barycenter
    Zengsi Chen, Zhengwang Wu, Liang Sun, Fan Wang, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li. 27th ISMRM, Montreal, QC, Canada, May 11-16, 2019. (Oral)
  22. Development-based Joint Parcellation of Human and Macaque Brains during Infancy
    Jing Xia, Fan Wang, Zhengwang Wu, Li Wang, Caiming Zhang, Dinggang Shen, Gang Li. 27th ISMRM, Montreal, QC, Canada, May 11-16, 2019. (Oral Power Pitch)
  23. Spherical U-Net for Infant Cortical Surface Parcellation
    Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li. 27th ISMRM, Montreal, QC, Canada, May 11-16, 2019. (Oral)
  24. Cortical FoldingPrint for Individual Identification During Dynamic Postnatal Development
    Dingna Duan, Shunren Xia, Zhengwang Wu, Fan Wang, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li. 27th ISMRM, Montreal, QC, Canada, May 11-16, 2019.
  25. Surfaces area and cortical volume development of infant transverse temporal cortex influenced by preterm birth
    Xianjun Li#, Jing Xia#, Jian Chen#, Li Wang, Miaomiao Wang, Congcong Liu, Mengxuan Li, Xiaocheng Wei, Gang Li, Dinggang Shen, Jian Yang. 27th ISMRM, Montreal, QC, Canada, May 11-16, 2019.
  26. A Surface-Constrained Dynamic Elasticity Model for Deformable Registration of Infant Brain MRI
    Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen. 27th ISMRM, Montreal, QC, Canada, May 11-16, 2019.
  27. Temporal Evolution of Inter- and Intra-subject Variability of Functional Connectivity in Infants
    Fan Wang, Yu Meng, Han Zhang, Junyi Yan, Li Wang, Weili Lin, Dinggang Shen, Gang Li. OHBM, Singapore, 17-21 June, 2018.
  28. Discovering Brain Developmental Regionalization during the First Two Postnatal Years
    Fan Wang, Zhengwang Wu, Chunfeng Lian, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li. OHBM, Singapore, 17-21 June, 2018.
  29. Cortical Thickness, Surface Area, and Cortical Folding in Neonates with Prenatal Cocaine Exposure
    Jing Xia, Karen Grewen, Caiming Zhang, Fan Wang, Li Wang, Dinggang Shen, Gang Li. OHBM, Singapore, 17-21 June, 2018.
  30. Mapping Longitudinal Orientation-Specific Expansion of Cortical Surface Area during the First Postnatal Year
    Jing Xia, Caiming Zhang, Fan Wang, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li. OHBM, Singapore, 17-21 June, 2018.
  31. Spatiotemporal Neonatal Cortical Surface Atlases Construction from 39 to 44 Weeks Using 764 Subjects
    Zhengwang Wu, Gang Li, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen. OHBM, Singapore, 17-21 June, 2018. (Oral)
  32. Early Development of Modular Organization in Brain Functional Networks at Multiple Scales
    Xuyun Wen, Han Zhang, Jun Zhang, Gang Li, Weili Lin, and Dinggang Shen. Joint Annual Meeting ISMRM-ESMRMB, Paris, France, 16-21 June 2018, Singapore, 17-21 June, 2018. (Oral)
  33. Construction of Spatiotemporal Infant Cortical Surface Atlas of Rhesus Macaque
    Fan Wang, Chunfeng Lian, Jing Xia, Zhengwang Wu, Dingna Duan, Li Wang, Dinggang Shen, and Gang Li. Joint Annual Meeting ISMRM-ESMRMB, Paris, France, 16-21 June 2018 (Power Pitch)
  34. Longitudinal Mapping of Local Relationship of Surface Area, Cortical Thickness and Cortical Folding in Infants
    Dingna Duan, Shunren Xia, Zhengwang Wu, Fan Wang, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li. Joint Annual Meeting ISMRM-ESMRMB, Paris, France, 16-21 June 2018, Singapore, 17-21 June, 2018.
  35. Fetal Cortical Parcellation Based on Growth Patterns
    Jing Xia, Caiming Zhang, Fan Wang, Oualid M. Benkarim, Gerard Sanroma, Gemma Piella, Miguel A. González Balleste, Nadine Hahner, Elisenda Eixarch, Dinggang Shen, Gang Li. Joint Annual Meeting ISMRM-ESMRMB, Paris, France, 16-21 June 2018, Singapore, 17-21 June, 2018.
  36. Spatiotemporal Developmental Trajectories of Cortical Thickness and Myelin Contents from Birth to 6 Years Old
    Weili Lin, Yu Meng, Gang Li, Li Wang, Dinggang Shen. OHBM Annual Meeting, Vancouver, Canada, June 25 – 29, 2017.
  37. Brain Fingerprinting for Assessment of Infant Brain Development
    Ehsan Adeli, Yu Meng, Gang Li, Weili Lin, Dinggang Shen. OHBM Annual Meeting, Vancouver, Canada, June 25 – 29, 2017.
  38. Comparative Mapping Cortical Local Gyrification between Human and Macaque during Infancy
    Jing Xia, Li Wang, Dingna Duan, Caiming Zhang, Yongchang Chen, Yuyu Niu, Weili Lin, Dinggang Shen, Gang Li. OHBM Annual Meeting, Vancouver, Canada, June 25 – 29, 2017.
  39. Exploring Infant Cortical Folding Patterns based on Multi-Scale Curvature Information
    Dingna Duan, Yu Meng, Shunren Xia, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li. OHBM Annual Meeting, Vancouver, Canada, June 25 – 29, 2017.
  40. Longitudinal Mapping of Development of Cortical Thickness and Surface Area during the First Year
    Gang Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen. OHBM Annual Meeting, Vancouver, Canada, June 25 – 29, 2017.
  41. Brain Network Atlas Estimation using Centered Graph Shrinkage with Application to Developing and Aging Brains
    Islem Rekik, Gang Li, Weili Lin, Dinggang Shen. ISMRM, Hawaii, USA, April 22 – 27, 2017.
  42. Relationship between Surface Area, Cortical Thickness and Folding in Infants
    Gang Li, Li Wang, Weili Lin, John H. Gilmore and Dinggang Shen. ISMRM, Hawaii, USA, April 22 – 27, 2017.
  43. Longitudinally consistent infant cortical surface atlases and parcellations from birth to 6 years of age
    Zhengwang Wu, Gang Li, Yu Meng, Weili Lin, Dinggang Shen ISMRM, Hawaii, USA, April 22 – 27, 2017.
  44. Learning-based Simultaneous Tissue Segmentation and Skull Stripping on Monkey Brain MRI
    Cuijin Lao, Jiawei Chen, Li Wang, Gang Li, Dinggang Shen. ISMRM, Hawaii, USA, April 22 – 27, 2017.
  45. Spherical Wavelets based Study of Multi-scale Cortical Folding in Infants
    Dingna Duan, Islem Rekik, Shunren Xia, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li. ISMRM, Hawaii, USA, April 22 – 27, 2017.
  46. Can we predict subject-specific dynamic cortical thickness maps during infancy from birth?
    Yu Meng, Gang Li, Islem Rekik, Han Zhang, Yaozong Gao, Weili Lin, Dinggang Shen. 22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM), Geneva, Switzerland, June 26 – 30, 2016.
  47. Neonatal Cortical Thickness and Surface Area Predict Cognitive Outcomes at 2 years of Age
    Jessica Bullins, Gang Li, Barbara D. Goldman, Amanda E. Lyall Martin, Dinggang Shen, John H. Gilmore. Annual Scientific Meeting of the Society-of-Biological-Psychiatry on Stress, Emotion, Neurodevelopment and Psychopathology, Toronto, Canada, May 14 – 16, 2015.
  48. Quantitative Assessments of Growth Trajectories of Cortical Thickness During the First 18 Mons of Life
    Weili Lin, Li Wang, Gang Li, Feng Shi, Jingxin Nie, Dinggang Shen. ISMRM’13, Salt Lake City, Utah, USA, Apr. 20-26, 2013.
  49. Coordinated Anatomical Growth of Motor, Sensory, and Visual Networks in Early Infancy
    Weili Lin, Wei Gao, Feng Shi, Li Wang, Gang Li, Jingxin Nie, Hongtu Zhu, Dinggang Shen. ISMRM’13, Salt Lake City, Utah, USA, Apr. 20-26, 2013.
  50. Longitudinal development of cortical thickness correlation network in the first two years of life
    Jingxin Nie, Gang Li, Li Wang, Feng Shi, Weili Lin, John H. Gilmore, Dinggang Shen. OHBM’12, Beijing, China, Jun. 10-14, 2012.

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