PhD, University of Utah, 2015MS, East China Normal University, 2010BS, Henan Normal University, 2008


Research interests include:

Biomedical Image Analysis, Statistical Shape Analysis, Machine Learning



Professor Zhang completed her PhD in computer science at the University of Utah. She was a postdoctoral associate in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology. Professor Zhang received the Medical Image Computing and Computer Assisted Intervention (MICCAI) young scientist award in 2014 and was a runner-up for the young scientist award in 2016. She is a member of MICCAI society and an area chair for MICCAI 2018. She is also a program committee member in ShapeMI MICCAI 2018.


  • Best Poster Award, 26th international conference on Information Processing in Medical Imaging (IPMI) 2019
  • Best Paper Finalist, 19th MICCAI 2016
  • Best Paper Award, 17th International Conference on Medical Image Computing and Computer-Assisted (MICCAI) 2014

Research Interests

  • Image Registration/segmentation
  • Statistical Shape Analysis
  • Machine Learning

Selected Publications

  • Bayesian Principal Geodesic Analysis for Estimating Intrinsic Diffeomorphic Image Variability ABS Zhang, Miaomiao. 2016. Ph.D. diss., The University of Utah
  • Frequency diffeomorphisms for efficient image registration ABS Zhang, M., Liao, R., Dalca, A. V., Turk, E. A., Luo, J., Grant, E. P., and Golland, P. International Conference on Information Processing in Medical Imaging (IPMI), 2017 (Oral Presentation)
  • Using the variogram for vector outlier screening: application to feature-based image registration ABS Jie Luo, Sarah Frisken, Ines Machado, Zhang, M., et al. International Journal of Computer Assisted Radiology and Surgery, 2018
  • Probabilistic modeling of anatomical variability using a low dimensional parameterization of diffeomorphisms ABS Zhang, M., Wells III, W. M., and Golland, P. Medical Image Analysis (MEDIA), 2017
  • Statistical shape analysis: From landmarks to diffeomorphisms ABS Zhang, M. and Golland, P. Medical Image Analysis (MEDIA), 2016
  • Bayesian principal geodesic analysis for estimating intrinsic diffeomorphic image variability ABS Zhang, M. and Fletcher, P. T. Medical Image Analysis (MEDIA), 2015