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Maria Deprez

3 papers here

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

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV3
ORCID 0000-0002-2799-6077

identity via Semantic Scholar / OpenAlex

most citedMulti-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI

3 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2024

Automatic 8-tissue Segmentation for 6-month Infant Brains

Yilan Dong, Vanessa Kyriakopoulou, Irina Grigorescu +3

Numerous studies have highlighted that atypical brain development, particularly during infancy and toddlerhood, is linked to an increased likelihood of being diagnosed with a neuro…

eess.IV2023★ 3 cited

Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI

Paula Ramirez, Alena Uus, Milou P. M. van Poppel +6

Congenital Heart Disease (CHD) is a group of cardiac malformations present already during fetal life, representing the prevailing category of birth defects globally. Our aim in thi…

eess.IV2023★ 1 cited

An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field

Kelly Payette, Alena Uus, Jordina Aviles Verdera +9

Fetal Magnetic Resonance Imaging at low field strengths is emerging as an exciting direction in perinatal health. Clinical low field (0.55T) scanners are beneficial for fetal imagi…

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