‪Mehrdad Mohammadi‬ - ‪Google Scholar‬

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Co-authors

Douglas G. SimpsonUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Aiguo HanAssistant Professor, Virginia Tech; prev. ECE@UIUCVerified email at vt.edu
Michelle Villegas-DownsPhD CandidateVerified email at uic.edu
Barbara McFarlin PhD CNM RDMS FA...University of Illinois ChicagoVerified email at uic.edu

Mehrdad Mohammadi

Mehrdad Mohammadi

University of Illinois

Verified email at illinois.edu - Homepage

Reinforcement Learning Nonparametric statistics Decision Making Applied Machine Learning


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Predicting Spontaneous Pre-term Birth Risk Is Improved When Quantitative Ultrasound Data Are Included With Historical Clinical Data BL McFarlin, Y Liu, M Villegas-Downs, M Mohammadi, DG Simpson, ... Ultrasound in Medicine & Biology 49 (5), 1145-1152, 2023	2	2023
Enhanced identification of women at risk for preterm birth via quantitative ultrasound: a prospective cohort study BL McFarlin, M Villegas-Downs, M Mohammadi, A Han, DG Simpson, ... American Journal of Obstetrics & Gynecology MFM 6 (5), 101250, 2024		2024
Predicting spontaneous PTB risk is improved when quantitative ultrasound data are included with clinical data BL McFarlin, Y Liu, M Villegas-Downs, M Mohammadi, D Simpson, A Han, ... American Journal of Obstetrics & Gynecology 228 (1), S99-S100, 2023		2023

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