Assistant Professor, Electrical and Computer Engineering Assistant Professor, Computer Science
Bio
PhD, University of Utah, 2016
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 has been a member of MICCAI society and an area chair for MICCAI since 2018. She is also an active area chair for International Symposium on Biomedical Imaging (ISBI) and Medical Imaging with Deep Learning (MIDL).
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers ABSWang, J. and Zhang, M. NeurIPS 2022
DeepFLASH: An efficient network for learning-based medical image registration ABSWang, J. and Zhang, M. CVPR 2020
Frequency diffeomorphisms for efficient image registration ABSZhang, 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 ABSJie 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 ABSZhang, M., Wells III, W. M., and Golland, P. Medical Image Analysis (MEDIA), 2017
Bayesian Principal Geodesic Analysis for Estimating Intrinsic Diffeomorphic Image Variability ABSZhang, Miaomiao. 2016. Ph.D. diss., The University of Utah
Statistical shape analysis: From landmarks to diffeomorphisms ABSZhang, M. and Golland, P. Medical Image Analysis (MEDIA), 2016
Bayesian principal geodesic analysis for estimating intrinsic diffeomorphic image variability ABSZhang, M. and Fletcher, P. T. Medical Image Analysis (MEDIA), 2015