Adrien Bartoli

ORCID: 0000-0003-3545-7329 · 3 papers in corpus · active 2015-2026

Study types

  • article 1
  • other 1
  • review 1

Condition tags

  • endometriosis 2
  • endometrioma 1
review 2026
A systematic approach to standardizing the visual appearance of endometriotic lesions for artificial intelligence recognition
Acta obstetricia et gynecologica Scandinavica ·doi:10.1111/aogs.70293

INTRODUCTION: Numerous studies have shown that the diagnostic performance and reproducibility of visual recognition of endometriosis during laparoscopy are poor. The use of artificial intelligence (AI) seems relevant for exhaustive lesion r…

article 2025
Initial Results in the Automatic Visual Recognition of Endometriosis Lesions by Artificial Intelligence During Laparoscopy: A Proof-of-Concept Study
Journal of minimally invasive gynecology ·doi:10.1016/j.jmig.2025.08.027

OBJECTIVE: To develop a machine learning method for the automatic recognition of endometriosis lesions during laparoscopic surgery and evaluate its feasibility and performance. DESIGN: Collecting and annotating surgical videos and training…

other 2015
Mapping and characterizing endometrial implants by registering 2D transvaginal ultrasound to 3D pelvic magnetic resonance images
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society ·doi:10.1016/j.compmedimag.2015.07.007

We propose a new deformable slice-to-volume registration method to register a 2D Transvaginal Ultrasound (TVUS) to a 3D Magnetic Resonance (MR) volume. Our main goal is to find a cross-section of the MR volume such that the endometrial impl…