◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Temmerman

1 paper here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedGeneralisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2022★ 5 cited

Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries

Carla Sendra-Balcells, Víctor M. Campello, Jordina Torrents-Barrena +17

Most artificial intelligence (AI) research have concentrated in high-income countries, where imaging data, IT infrastructures and clinical expertise are plentiful. However, slower…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.