IMAGENDO study

IMAGENDO study has been a member of Linktree for 3 years and joined in June 2023. The social media accounts linked to from IMAGENDO study are: Facebook, Instagram, Email, X. Besides social media accounts, imagendo has populated their site with Who Fails Where? LLM and Human Error Patterns in Endometriosis Ultrasound Report Extraction, An online cross-section survey exploring the training needs of healthcare professionals learning to perform transvaginal ultrasound for endometriosis: Does artificial intelligence have a role to play? - ScienceDirect, The problem with the ‘truth’: rethinking ground truth for artificial intelligence in endometriosis diagnosis, Development of a Novel Machine Learning Model for Automatic Assessment of Quality of Transvaginal Ultrasound Images From Multi‐Annotator Labels - Deslandes - 2025 - Australasian Journal of Ultrasound in Medicine - Wiley Online Library, IDEA Consensus, Simplified eTVUS, How to perform an ultrasound to diagnose endometriosis, Visit our Website, Our review: Part two! Access for FREE until March 23, Meet our research team, Is surgery necessary for my endometriosis or ‘suspected’ endo?, Three years for diagnosis — even when she knew what was wrong, Radio Health Journal Podcast with Dr Jodie Avery, IMAGENDO reported by ABC news- read the story!, IMAGENDO reported by ABC news- watch the story!, Unpaired multi-modal training and single-modal testing for detecting signs of endometriosis, Global trends in the uptake of specialist diagnostic ultrasound and MRI scans for endometriosis: An international cross‐sectional survey - Avery - International Journal of Gynecology & Obstetrics - Wiley Online Library, Yuan Zhang and IMAGENDO in Computer Vision News, Are sonographers the future 'gold standard' in the diagnosis of endometriosis?, Human–AI collaborative multi-modal multi-rater learning for endometriosis diagnosis, Intra- and interobserver agreement of proposed objective transvaginal ultrasound image-quality scoring system for use in artificial intelligence algorithm development, Non-invasive diagnosis of endo: Part 2, Non-invasive diagnosis of endo: Part 1, AI as a teaching tool for gynae ultrasound, Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction, Deep Learning to diagnose POD obliteration with ultrasound.