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Rice 300

Miaomiao Zhang

Assistant Professor, Electrical and Computer Engineering Assistant Professor, Computer Science
Contact
Location
Rice 300
Personal Website Google Scholar Researchgate Course Catalog

About

Professor Zhang completed Ph.D. in Computer Science at University of Utah and worked as a postdoctoral associate at Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology. Her research focuses on developing machine learning and AI models at the intersection of mathematics and computer engineering in the field of medical and biological imaging. Her current work spans generative modeling, image registration, segmentation, and statistical shape analysis, with applications in cardiovascular imaging, neuroimaging, and computer-assisted surgery. 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

Faculty Spotlight: Machine Learning for Disease Detection

Miaomiao Zhang sits at a desk

Miaomiao Zhang, assistant professor of electrical and computer engineering and computer science, explains her research on the use of AI modeling and machine learning for disease detection.

In the News

Research Combines Machine Learning and Neuroimaging to Aid People with Brain Tumors

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