Multi-label classification of pelvic organ prolapse using stress magnetic resonance imaging with deep learning

Feasibility of a deep learning-based method for automated localization of pelvic floor landmarks using stress MR images

(2021) Fei Feng et al.   INTERNATIONAL UROGYNECOLOGY JOURNAL

Deep learning in generating radiology reports: A survey

(2020) Maram Mahmoud A. Monshi et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Prostate cancer classification with multiparametric MRI transfer learning model

(2019) Yixuan Yuan et al.   MEDICAL PHYSICS

Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification

(2019) Ivo M. Baltruschat et al.   Scientific Reports

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

(2019) Ramprasaath R. Selvaraju et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Ultrasound in the assessment of pelvic organ prolapse

(2018) Hans Peter Dietz   BEST PRACTICE & RESEARCH CLINICAL OBSTETRICS & GYNAECOLOGY

Erratum to: An International Urogynecological Association (IUGA) / International Continence Society (ICS) joint report on the terminology for female pelvic organ prolapse (POP)

(2016) Bernard T. Haylen et al.   INTERNATIONAL UROGYNECOLOGY JOURNAL

The long and short of it: anterior vaginal wall length before and after anterior repair

(2015) Carolyn W. Swenson et al.   INTERNATIONAL UROGYNECOLOGY JOURNAL

A multi-compartment 3-D finite element model of rectocele and its interaction with cystocele

(2015) Jiajia Luo et al.   JOURNAL OF BIOMECHANICS

Quantitative assessment of new MRI-based measurements to differentiate low and high stages of pelvic organ prolapse using support vector machines

(2014) S. Onal et al.   INTERNATIONAL UROGYNECOLOGY JOURNAL

On pelvic reference lines and the MR evaluation of genital prolapse: a proposal for standardization using the Pelvic Inclination Correction System

(2013) C. Betschart et al.   INTERNATIONAL UROGYNECOLOGY JOURNAL

The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

(2013) Kenneth Clark et al.   JOURNAL OF DIGITAL IMAGING

3D analysis of cystoceles using magnetic resonance imaging assessing midline, paravaginal, and apical defects

(2011) Kindra A. Larson et al.   INTERNATIONAL UROGYNECOLOGY JOURNAL

Pelvic floor ultrasound: a review

(2010) Hans Peter Dietz   AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY

Do repetitive Valsalva maneuvers change maximum prolapse on dynamic MRI?

(2010) Julie A. Tumbarello et al.   INTERNATIONAL UROGYNECOLOGY JOURNAL

Forecasting the Prevalence of Pelvic Floor Disorders in U.S. Women

(2009) Jennifer M. Wu et al.   OBSTETRICS AND GYNECOLOGY

Prediction of pelvic organ prolapse using an artificial neural network

(2008) Christopher J. Robinson et al.   AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY

Distribution of pelvic organ support measures in a population-based sample of middle-aged, community-dwelling African American and white women in southeastern Michigan

(2008) Elisa R. Trowbridge et al.   AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY