Henrique Mendonca Abrão

ORCID: 0000-0002-5237-4325 · 6 papers in corpus · active 2023-2025

Study types

  • article 4
  • other 1
  • preprint 1

Condition tags

  • endometriosis 5
  • mesh:D004715 4
  • mesh:D004414 2
  • mesh:D004412 2
  • infertility 1
  • mesh:D017699 1
  • endometrioma 1
article 2025
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 2025
Diagnostics ·doi:10.3390/diagnostics15101254

Background: Laparoscopic surgery for endometriosis presents unique challenges due to the complexity of and variability in lesion appearances within the abdominal cavity. This study investigates the application of deep learning models for ob…

article 2025
Journal of minimally invasive gynecology ·doi:10.1016/j.jmig.2025.08.005
article 2024
Clinics (Sao Paulo, Brazil) ·doi:10.1016/j.clinsp.2023.100317

OBJECTIVE: To evaluate the relationship between genetic haplotypes associated with celiac disease (Human Leucocyte Antigen [HLA] DQ2 and DQ8) with the diagnosis, clinical presentation, and location of endometriosis in Brazilian women. METHO…

preprint 2024
·doi:10.20944/preprints202412.2127.v1

Laparoscopic surgery for endometriosis presents unique challenges due to the complexity and variability of lesion appearances within the abdominal cavity. This study investigates the application of deep learning models for object detection …

article 2023
Reproductive sciences (Thousand Oaks, Calif.) ·doi:10.1007/s43032-023-01406-6