Jiajia Luo, Ph.D.

Affiliations: 
Mechanical Engineering University of Michigan, Ann Arbor, Ann Arbor, MI 
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James A. Ashton-Miller grad student 2012 University of Michigan
 (Biomechanical analyses of posterior vaginal prolapse: Mr imaging and computer modeling studies.)
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Publications

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Luo J, Swenson CW, Betschart C, et al. (2022) Comparison of in vivo visco-hyperelastic properties of uterine suspensory tissue in women with and without pelvic organ prolapse. Journal of the Mechanical Behavior of Biomedical Materials. 137: 105544
Wang X, He D, Feng F, et al. (2022) Multi-label classification of pelvic organ prolapse using stress magnetic resonance imaging with deep learning. International Urogynecology Journal
Feng F, Ashton-Miller JA, DeLancey JOL, et al. (2021) Three-dimensional self super-resolution for pelvic floor MRI using a convolutional neural network with multi-orientation data training. Medical Physics
Feng F, Ashton-Miller JA, DeLancey JOL, et al. (2021) Feasibility of a deep learning-based method for automated localization of pelvic floor landmarks using stress MR images. International Urogynecology Journal
Feng F, Ashton-Miller JA, DeLancey JOL, et al. (2020) Convolutional Neural Network-Based Pelvic Floor Structure Segmentation Using Magnetic Resonance Imaging in Pelvic Organ Prolapse. Medical Physics
Swenson CW, Smith TM, Luo J, et al. (2016) Intraoperative Cervix Location and Apical Support Stiffness in WomenWith and Without Pelvic Organ Prolapse. American Journal of Obstetrics and Gynecology
Luo J, Betschart C, Ashton-Miller JA, et al. (2016) Author's reply to letter from Matthes and Zucca-Matthes on "Quantitative analyses of variability in normal vaginal shape and dimension on MR images". International Urogynecology Journal
Swenson CW, Luo J, Chen L, et al. (2016) Traction force needed to reproduce physiologically observed uterine movement: technique development, feasibility assessment, and preliminary findings. International Urogynecology Journal
Luo J, Betschart C, Ashton-Miller JA, et al. (2016) Quantitative analyses of variability in normal vaginal shape and dimension on MR images. International Urogynecology Journal
Luo J, Qiu W, Chen L, et al. (2015) Identification of Pathogenicity-Related Genes in Biofilm-Defective Acidovorax citrulli by Transposon Tn5 Mutagenesis. International Journal of Molecular Sciences. 16: 28050-62
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