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Zhiqiang Zhang
zhangzq2001@126.com
Chinese, English
Jiangsu
Nanjing University
Medical School
  • 2010 PhD: Nanjing University Medical School
  • Visited Harvard University Massachusetts General Hospital Radiology Department
  • Received National Excellent Youth Project
  • Received Jiangsu Province Key Medical Talent Project
  • Current - Nanjing University Medical School Affiliated Jinling Hospital - Deputy Director of Radiology Department
  • Sichuan Province Science and Technology Progress First Prize (Natural Science Category) (2017)
  • Ministry of Education Science and Technology Progress First Prize (2012)
  • Jiangsu Provincial Health Department New Technology Introduction Award First Prize (2012)
Neuroimaging
Artificial Intelligence in Medical Imaging
  • Delayed brain development of Rolandic epilepsy profiled by deep learning-based neuroanatomic imaging, Zhang Q, Yang F, Hu Z, Xu Q, Bernhardt BC, Gumenyuk V, Stufflebeam SM, Li Q, Lu G, Zhang Z, 2021
  • Systematically disrupted functional gradient of the cortical connectome in generalized epilepsy: Initial discovery and independent sample replication, Meng Y, Yang S, Chen H, Li J, Xu Q, Zhang Q, Lu G, Zhang Z, Liao W, 2021
  • Cortico-striato-thalamo-cerebellar networks of structural covariance underlying different epilepsy syndromes associated with generalized tonic-clonic seizures, Xu Q, Zhang Q, Yang F, Weng Y, Xie X, Hao J, Qi R, Gumenyuk V, Stufflebeam SM, Bernhardt BC, Lu G, Zhang Z, 2021
  • Community-informed connectomics to the thalamo-cortical system in generalized epilepsy, Z Wang, S Lariviere, Q Xu, R Vos de Wael, SJ Hong, Z Wang, Y Xu, B Zhu, N Bernasconi, A Bernasconi, B Zhang, Z Zhang, and B Bernhardt, 2019
  • Hippocampus-associated causal network of structural covariance measuring structural damage progression in temporal lobe epilepsy, Zhang Z, Liao W, Xu Q, Wei W, Zhou H J, Sun K, Yang F, Mantini D, Ji X, Lu G, 2017
Neuroimaging Epilepsy Brain Tumors Cerebrovascular Diseases Deep Learning Ai Medical Imaging Clinical Brain Science Multidisciplinary Research Structural Covariance

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