2018-08-18 16:34:45
By SCNU
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PUBLICATION

Journal Papers:

  1. Chao Tang, Yuqing Wei, Jiajia Zhao, Jingxin Nie, Different Developmental Pattern of Brain Activities in      ADHD: A Study of Resting-state fMRI. Accepted by  Developmental Neuroscience, 2018

  2. Jingxin Nie, Gang Li, Li Wang, Feng Shi, Weili Lin, John H. Gilmore, Dinggang      Shen, Longitudinal development of  cortical-thickness, folding, and fiber-density networks in the first two      years of life. H um Brain Mapp 35(8):3726-3737, 2014

  3. Jingxin Nie, Gang Li, Dinggang Shen, Development of cortical anatomical properties from early childhood to early adulthood. NeuroImage 76:216-224, 2013

  4. Jingxin Nie, Dinggang Shen, Automated Segmentation of Mouse Brain   Images Using Multi-Atlas Multi-ROIs Deformation and Label Fusion. Neuroinformatics      11(1): 35–45, 2013

  5. Jingxin Nie, Lei Guo, Kaiming Li, et al., Axonal Fiber Terminations Concentrate on Gyri.Cerebral Cortex 22(12): 2831–2839, 2012

  6. Jingxin Nie, Gang Li, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen, Computational Growth Model for Measuring Dynamic      Cortical Development in the First Year of Life. Cerebral Cortex 22(10): 2272–2284, 2012

  7. Jingxin Nie, Lei Guo, Gang Li, Carlos Faraco, Stephen Miller, Tianming      Liu, A Computational Model of Cerebral Cortex Folding, Journal of      Theoretical Biology 264(2):467-78, 2010

  8. Jingxin Nie, Zhong Xue, Tianming Liu, Geoffrey S. Young, Kian Setayesh,      Lei Guo, Stephen T.C. Wong, Automated brain tumor segmentation using      spatial accuracy-weighted hidden Markov Random Field, Computerized      Medical Imaging and Graphics, Volume 33, Issue 6, 2009, Pages 431-441.

  9. Jingxin Nie, Tianming Liu, Gang Li, Geoffrey Young, Ashley Tarokh, Lei      Guo, Stephen TC Wong, Least-Square Conformal Brain Mapping with Spring Energy,      Computerized Medical Imaging and Graphics, 31(8):656-664, 2007.

  10. Gang Li, Jingxin Nie,      Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen, Measuring      the Dynamic Longitudinal Cortex Development in Infants by Reconstruction      of Temporally Consistent Cortical Surfaces. Neuroimage 90: 266–279,      2014

  11. Gang Li, Jingxin Nie,      Guorong Wu, Yaping Wang, Dinggang Shen, “Consistent Reconstruction of Cortical Surfaces from      Longitudinal Brain MR Images”, Neuroimage, 59(4):3805–3820,      Feb. 2012.

  12. Gang Li, Lei Guo, Jingxin      Nie, Tianming Liu, An automated pipleline for sulci fundi      extraction, Medical Image Analysis, 2010 Jun;14(3):343-59. (IF 4.52)

  13. Kaiming Li, Lei Guo, Jingxin      Nie, Gang Li, Tianming Liu, Review of Methods for Functional Brain      Connectivity Detection Using fMRI. Computerized Medical Imaging and      Graphics, Volume 33, Issue 2, March 2009, Pages 131-139. (IF 1.22)

  14. Gang Li, Lei Guo, Jingxin      Nie, Tianming Liu, Automatic Cortical Sulcal Parcellation Based on      Surface Principal Direction Flow Field Tracking, Neuroimage, 2009.(IF      6.817)

  15. Tianming Liu, Jingxin      Nie, Ashley Tarokh, Lei Guo, Stephen TC Wong, Reconstruction of      Central Cortical Surface from MRI Brain Images: Method and Application.      NeuroImage, 40(3):991-1002, 2008.(IF 6.817).

  16. Tianming Liu, Gang Li, Jingxin      Nie, Ashley Tarokh, Xiaobo Zhou, Lei Guo, Jarema Malicki, Weiming Xia,      Stephen TC Wong, An Automated Cell Detection Method for Cell Detection      in Zebrafish, Neuroinformatics, 6(1):5-21, 2008.(IF 3.027)

  17. Tianming Liu, Jingxin      Nie, Gang Li, Lei Guo, Stephen Wong, ZFIQ: a software package for      zebrafish biology, Bioinformatics, 24(3):438-9, 2007. (IF 3.027).

  18. Gang Li, Tianming Liu, Jingxin      Nie, Lei Guo, Jarema Malicki, Andrew Mara, Scott Holley, Weiming Xia,      Stephen Wong. Detection of Blob Objects in Microscopic Zebrafish Images      Based on Gradient Vector Diffusion. Cytometry A. 71(10):835-45, 2007.      (IF 3.753)

  19. Gang Li, Tianming Liu, Jingxin N, Guo L, Andrew M, Holley S,      Zhu J, Chen J, Wong STC. Segmentation of touching cell nuclei using      gradient flow tracking, Journal of Microscopy, 231(1): 47-58, 2008.      (IF 1.872)

  20. Gang Li, Tianming Liu, Ashley Tarokh, Jingxin Nie, Lei Guo, Andrew Mara, Scott Holley, Stephen TC      Wong, 3D Cell Segmentation Based on Gradient Flow Tracking,      BMC Cell Biology, 8(1):40, 2007. (IF 2.46)

Conference Papers:

  1. Chao Tang, Yuqing Wei, Jiajia Zhao, Jingxin Nie. The dynamic measurements of regional brain      activity for resting-state fMRI: d-ALFF, d-fALFF and d-ReHo. MICCAI 2018.

  2. Jingxin Nie, Gang Li, Li Wang, John H. Gilmore, Weili Lin, and Dinggang      Shen, Computational Growth Model for Cortical Development in the First      Year of Life, Image Analysis of Human Brain Development (IAHBD 2011),      Toronto, Canada, Sep. 22, 2011.

  3. Jingxin Nie, Gang Li, Li Wang, Feng Shi, Weili Lin, John H. Gilmore,      Dinggang Shen, Longitudinal development of cortical thickness      correlation network in the first two years of life, OHBM'12, Beijing,      China, Jun. 10-14, 2012.

  4. Jingxin Nie, Lei Guo, Tianming Liu, A computational model of cerebral      cortex folding, Medical Image Computing and Computer Assisted      Intervention (MICCAI) 2009.

  5. Jingxin Nie, Tianming Liu, Guo L, Stephen TC Wong. Reconstruction of      central cortical surface from brain MRI images: Method and Application.      In: International Symposium of Biomedical Imaging (ISBI); Washington DC.      April 2007.

  6. Jingxin Nie, Tianming Liu, Geoffrey Young, Lei Guo, and Stephen TC Wong. Least-square      conformal mapping with spring energy. In: International Symposium on      Biomedical Imaging (ISBI); Washington DC. ;2006. p. 1308 - 1311.

  7. Yaping Wang, Jingxin Nie,      Pew-Thian Yap, Feng Shi, Lei Guo, Dinggang Shen, "Robust Deformable-Surface-Based Skull-Stripping for      Large-Scale Studies", MICCAI 2011, Toronto, Canada, Sep.      18-22, 2011.

  8. Gang Li, Jingxin Nie,      Dinggang Shen, "Consistent Reconstruction of Cortical Surfaces from      Longitudinal Brain MR Images", MICCAI 2011, Toronto,      Canada, Sep. 18-22, 2011.

  9. Kaiming Li, Lei Guo, Gang Li, Jingxin Nie, Carlos Faraco, Qun Zhao, Stephen Miller, Tianming      Liu, Cortical surface based identification of brain networks using high      spatial resolution resting state fMRI data,  International Symposium of Biomedical      Imaging (ISBI) 2010.

  10. Degang Zhang, Lei Guo, Gang Li, Jingxin Nie, Xi Jiang, Fan Deng, Kaiming Li, Dajiang Zhu, Qun      Zhao, Tianming Liu, Automatic cortical surface parcellation based on      fiber density informaiton,       International Symposium of Biomedical Imaging (ISBI) 2010.

  11. Tuo Zhang, Lei Guo, Xintao Hu, Gang Li, Jingxin Nie, Xi Jiang, Degang Zhang, Tianming Liu, Joint      analysis of fiber shape and cortical folding patterns,  International Symposium of Biomedical      Imaging (ISBI), 2010.

  12. Gang Li, Lei Guo, Jingxin      Nie, Tianming Liu, Gyral parcellation of cortical surfaces via      coupled flow field tracking, SPIE Medical Imaging,  2010.

  13. Gang Li, Lei Guo, Jingxin      Nie and Tianming Liu, Automatic Cortical Sulcal Parcellation Based      on Surface Principal Direction Flow Field Tracking, Information      Processing in Medical Imaging (IPMI), 2009.

  14. Tuo Zhang, Lei Guo, Gang Li, Jingxin Nie, Tianming Liu, Parametric representation of      cortical surface folding via polynomials, Medical Image Computing and      Computer Assisted Intervention (MICCAI) 2009.

  15. Kaiming Li, Lei Guo, Gang Li, Jingxin Nie, Carlos Faraco, Qun Zhao, L. Stephen Miller,      Tianming Liu, Gyral folding pattern analysis via surface profiling,      Medical Image Computing and Computer Assisted Intervention (MICCAI) 2009.

  16. Gang Li, Tianming Liu, Jingxin      Nie, Lei Guo, Stephen Wong, A Novel Method for Cortical Sulcal      Fundi Extraction, Medical Image Computing and Computer-Assisted      Intervention (MICCAI), Sept. 2008.

  17. Li G, Tianming Liu, Jingxin      Nie, Guo L, Stephen TC Wong. Segmentation of touching cells using      gradient flow tracking. In: International Symposium of Biomedical      Imaging (ISBI); Washington DC, April 2007.