◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Maria Inês Meyer

6 papers hereh-index 121.2k citations15 works total

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

author position
  • first author2
  • middle author4

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV3

identity via Semantic Scholar / OpenAlex

activity
20172022
most citedISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset

194 citations · 335 across the 5 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

eess.IV2021

An augmentation strategy to mimic multi-scanner variability in MRI

Maria Ines Meyer, Ezequiel de la Rosa, Nuno Barros +3

Most publicly available brain MRI datasets are very homogeneous in terms of scanner and protocols, and it is difficult for models that learn from such data to generalize to multi-c…

eess.IV2020★ 4 cited

Improved inter-scanner MS lesion segmentation by adversarial training on longitudinal data

Mattias Billast, Maria Ines Meyer, Diana M. Sima +1

The evaluation of white matter lesion progression is an important biomarker in the follow-up of MS patients and plays a crucial role when deciding the course of treatment. Current…

eess.IV2019★ 2 cited

Relevance Vector Machines for harmonization of MRI brain volumes using image descriptors

Maria Ines Meyer, Ezequiel de la Rosa, Koen Van Leemput +1

With the increased need for multi-center magnetic resonance imaging studies, problems arise related to differences in hardware and software between centers. Namely, current algorit…

◍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.