Miaomiao Zhang
Assistant Professor, Electrical and Computer Engineering
Assistant Professor, Computer Science
About
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).
Education
PhD, University of Utah, 2016
Research Interests
Biomedical Image Analysis
Machine Learning
Statistical Shape Analysis
Selected Publications
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers
WANG, J. AND ZHANG, M. NEURIPS 2022
ABS
DeepFLASH: An efficient network for learning-based medical image registration
WANG, J. AND ZHANG, M. CVPR 2020
ABS
Frequency diffeomorphisms for efficient image registration
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)
ABS
Using the variogram for vector outlier screening: application to feature-based image registration
JIE LUO, SARAH FRISKEN, INES MACHADO, ZHANG, M., ET AL. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2018
ABS
Probabilistic modeling of anatomical variability using a low dimensional parameterization of diffeomorphisms
ZHANG, M., WELLS III, W. M., AND GOLLAND, P. MEDICAL IMAGE ANALYSIS (MEDIA), 2017
ABS
Courses Taught
Machine Learning in Image Analysis
FALL 2021, 2022, 2023
Machine Learning for Engineers
SPRING 2021
Digital Image Processing
FALL 2020
Foundation of Data Analysis
SPRING 2020, 2023
Awards
Best Paper Award, ISBI
2025
Best Thematic Paper Award, ML4H
2023
NIH Trailblazer R21 Award
2023
NSF CAREER Award
2023
UVA Research Innovation Award
2023
Best Poster Award, IPMI
2019
Best Paper Finalist, MICCAI
2016
MIT IMPACT Fellow
2016
Best Paper Award, MICCAI
2014