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Medical Physics|July 9, 2020
Convolutional neural network-based pelvic floor structure segmentation using magnetic resonance imaging in pelvic organ prolapseFei Feng, James A Ashton-Miller, John O L DeLancey, et al.
International Urogynecology Journal|January 27, 2016
Quantitative analyses of variability in normal vaginal shape and dimension on MR imagesJiajia Luo, Cornelia Betschart, James A Ashton-Miller, et al.
Optics Express|June 14, 2025
PEARL: projection-estimation accelerated Richardson-Lucy deconvolution for rapid volumetric imagingShunan Wu, Wenhao Liu, Xuanwen Hua, et al.
American Journal of Obstetrics and Gynecology|June 11, 2013
A novel technique to measure in vivo uterine suspensory ligament stiffnessTovia Martirosian Smith, Jiajia Luo, Yvonne Hsu, et al.
Journal of Biomechanical Engineering|December 10, 2013
In vivo properties of uterine suspensory tissue in pelvic organ prolapseJiajia Luo, Tovia M Smith, James A Ashton-Miller, et al.
Photoacoustics|March 25, 2021
Photoacoustic microscopy with sparse data by convolutional neural networksJiasheng Zhou, Da He, Xiaoyu Shang, et al.
IEEE Transactions on Medical Imaging|April 4, 2023
De-Noising of Photoacoustic Microscopy Images by Attentive Generative Adversarial NetworkDa He, Jiasheng Zhou, Xiaoyu Shang, et al.
International Urogynecology Journal|September 7, 2013
Using stress MRI to analyze the 3D changes in apical ligament geometry from rest to maximal Valsalva: a pilot studyJiajia Luo, Cornelia Betschart, Luyun Chen, et al.
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