Avery J

No ORCID on file · 4 papers in corpus · active 2021-2025

Study types

  • article 3
  • other 1

Condition tags

  • endometriosis 3
  • chronic_pelvic_pain 1
other 2025
Development of a Novel Machine Learning Model for Automatic Assessment of Quality of Transvaginal Ultrasound Images From Multi-Annotator Labels
Australasian journal of ultrasound in medicine ·doi:10.1002/ajum.70026

OBJECTIVES: Accurate diagnosis of pathology from ultrasound images is reliant upon images of a suitable diagnostic quality being acquired. This study aimed to create a novel machine learning model to automatically assess transvaginal ultras…

article 2023
The Effectiveness of Self-supervised Pre-training for Multi-modal Endometriosis Classification*†
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference ·doi:10.1109/embc40787.2023.10340504

Endometriosis is a debilitating condition affecting 5% to 10% of the women worldwide, where early detection and treatment are the best tools to manage the condition. Early detection can be done via surgery, but multi-modal medical imaging i…

article 2022
Lessons from implementing the Australian National Action Plan for Endometriosis
Reproduction & fertility ·doi:10.1530/raf-22-0003

ABSTRACT: Endometriosis is a common yet under-recognised chronic disease with one in nine (more than 830,000) women and those assigned female at birth diagnosed with endometriosis by the age of 44 years in Australia. In 2018, Australia was …

article 2021
Deep learning to diagnose pouch of Douglas obliteration with ultrasound sliding sign
Reproduction & fertility ·doi:10.1530/raf-21-0031

OBJECTIVES: Pouch of Douglas (POD) obliteration is a severe consequence of inflammation in the pelvis, often seen in patients with endometriosis. The sliding sign is a dynamic transvaginal ultrasound (TVS) test that can diagnose POD obliter…