Perinatal imaging AI
Interpretable, developmentally aware methods for fetal, placental, newborn, and infant MRI across motion, changing anatomy, heterogeneous scanners, and limited labels.
Principal Investigator · Nurture Map Lab
Yun Wang, Ph.D.
Tenure-track Assistant Professor of Biomedical Informatics
Secondary appointments in Gynecology & Obstetrics and Radiology & Imaging Sciences · Emory University School of Medicine
Building an independently funded computational maternal–fetal imaging program supported by two R01s and spanning AI methodology, quantitative MRI, and cross-disciplinary clinical translation.
Biography
Yun Wang is a biomedical informatics and imaging scientist who directs Nurture Map Lab—Maternal–Infant Imaging, AI & Neurodevelopment—at Emory University School of Medicine. Her independently funded research program develops AI and quantitative MRI methods to measure connected pathways from maternal health through placental function and fetal physiology to infant brain development and early neurobehavior.
Her research frames early development as a connected maternal–placenta–fetal-circulation–brain–neurobehavior system. The long-term goal is to identify when and how developmental risk emerges, create quantitative tools for earlier monitoring, and reveal potentially modifiable pathways for prevention. Her work spans medical imaging, biomedical informatics, obstetrics, radiology, developmental neuroscience, and mental health.
Research interests
Placental and fetal pathways
Multimodal phenotyping of placental physiology, fetal circulation, oxygen delivery, and their links to early brain development.
Early neurobehavior
Longitudinal models connecting perinatal phenotypes with regulation, attention, social communication, and early psychopathology risk.
Selected publications
- 2026. Liu, R., Liu, J., Zhang, X., Huang, C., & Wang, Y. NeuroLangSeg: Language-Guided Subcortical Segmentation with Pseudo-Supervision and Anatomical–Linguistic Validation. Medical Imaging with Deep Learning.
- 2026. Zhong, X., Liu, R., Lin, G., Huang, C., Goldman-Yassen, A., Mehollin-Ray, A., & Wang, Y. Orientation-Aware Diffusion Super-Resolution for 3T-Like Fetal MRI from Routine 1.5T Scans. Medical Imaging with Deep Learning.
- 2025. Hill, E. D., Kashyap, P., Raffanello, E., Wang, Y., Moffitt, T. E., Caspi, A., et al. Prediction of Mental Health Risk in Adolescents. Nature Medicine.
- 2024. Zhang, X., Wu, Y., Angelini, E., Li, A., Guo, J., Rasmussen, J. M., O’Connor, T. G., Wang, Y., et al. MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation. CVPR.
- 2024. Rasmussen, J. M., Wang, Y., Graham, A. M., Fair, D. A., Posner, J., O’Connor, T. G., et al. Segmenting Hypothalamic Subunits in Human Newborn Magnetic Resonance Imaging Data. Human Brain Mapping.
- 2019. Wang, Y., Bernanke, J., Peterson, B. S., McGrath, P., Stewart, J., Chen, Y., et al. The Association Between Antidepressant Treatment and Brain Connectivity in Two Double-Blind, Placebo-Controlled Clinical Trials. The Lancet Psychiatry.
Appointments and training
Emory University School of Medicine
2024–presentTenure-track Assistant Professor of Biomedical Informatics, with secondary appointments in Gynecology & Obstetrics and Radiology & Imaging Sciences.
Duke University
2021–2023Assistant Professor of Psychiatry & Behavioral Sciences, with a secondary appointment in Electrical & Computer Engineering.
Columbia University
2017–2021Postdoctoral Research Scientist.
Auburn University
2012–2016Ph.D. in Electrical & Computer Engineering.
Purdue University
2010–2011M.S. in Electrical & Computer Engineering.
Contact
For research, collaboration, and training inquiries, email yun.wang2@emory.edu. Verified academic and professional profiles are linked on this page to distinguish this record from other researchers named Yun Wang.