Mavrelos, Dimitrios

No ORCID on file · 7 papers in corpus · active 2019-2025

Study types

  • dataset 3
  • article 2
  • other 2

Condition tags

  • endometriosis 5
  • chronic_pelvic_pain 2
  • infertility 2
  • adenomyosis 2
dataset 2025
·doi:10.5281/zenodo.17699165

Quantitative analysis of uterine peristalsis in women with adenomyosis using optical flow for motion quantification Sania Latif [1,2,*], Shaheer U. Saeed [3,4], Yipeng Hu [3,4], Lucrezia De Braud [1,2], Ephia Yasmin [1,2], Ertan Saridogan […

dataset 2025
·doi:10.5281/zenodo.17699164

Quantitative analysis of uterine peristalsis in women with adenomyosis using optical flow for motion quantification Sania Latif [1,2,*], Shaheer U. Saeed [3,4], Yipeng Hu [3,4], Lucrezia De Braud [1,2], Ephia Yasmin [1,2], Ertan Saridogan […

other 2019
·doi:10.6084/m9.figshare.c.4462577

Abstract Background Endometriosis is a common gynaecological disorder affecting 5–10% of women of reproductive age who often experience chronic pelvic pain and infertility. Definitive diagnosis is through laparoscopy, exposing patients to p…

other 2019
·doi:10.6084/m9.figshare.c.4462577.v1

Abstract Background Endometriosis is a common gynaecological disorder affecting 5–10% of women of reproductive age who often experience chronic pelvic pain and infertility. Definitive diagnosis is through laparoscopy, exposing patients to p…

article 2019
·doi:10.6084/m9.figshare.7963343

Additional file 1: Table S1. ELISA assays used with optimal dilutions and intra-assay CVs. Table S2. List of differentially expressed protein identifications from 2D-DIGE profiling. Figure S1. Quality control of tissue lysates and immunodep…

article 2019
·doi:10.6084/m9.figshare.7963343.v1

Additional file 1: Table S1. ELISA assays used with optimal dilutions and intra-assay CVs. Table S2. List of differentially expressed protein identifications from 2D-DIGE profiling. Figure S1. Quality control of tissue lysates and immunodep…

dataset 2019
·doi:10.6084/m9.figshare.7963346.v1

Additional file 2. Results of TMT-based LC-MS/MS profiling with candidate scoring.