Neda Azarmehr
Download the ICS Branding Pack
Podium Short Oral Session 33 POP, Incontinence and Imaging 2 324 Defining novel MRI-derived pelvic floor morphological biomarkers for machine learning-assisted diagnosis of urinary incontinence in women
Open Discussion Session 105 Open Discussion ePosters 570 Automated Cough Detection for Quality Assessment in Urodynamics Using a Rule-Based Approach: Towards an Artificial Intelligence guided quality check
ICS Member