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20232026
most citedAdvances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge

4 citations · 10 across the 12 of their papers we have counts for

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eess.IV2026

Unsupervised Adversarial Domain Adaptation for Uterine layer Segmentation: From Labeled Cine to Unlabeled Dynamic EPI MRI

Smiti Tripathy, Milauni Desai, Jordina Aviles Verdera +1

Uterine peristalsis is a key physiological phenomenon responsible for various functions across the menstrual cycle, intimately linked to uterine wall microstructure. Alterations in…

eess.IV2026

Female-RHINO: A Real-Time Scanner-Integrated Framework for Automated Quantitative Uterine MRI Analysis and Structured Reporting

Deepak Bhatia, Saad Ahmad, Smiti Tripathy +7

Standardized assessment of uterine MRI remains challenging due to anatomical variability, observer dependence, and the lack of workflow-integrated automated analysis tools. This wo…

eess.IV2025

PUUMA (Placental patch and whole-Uterus dual-branch U-Mamba-based Architecture): Functional MRI Prediction of Gestational Age at Birth and Preterm Risk

Diego Fajardo-Rojas, Levente Baljer, Jordina Aviles Verdera +6

Preterm birth is a major cause of mortality and lifelong morbidity in childhood. Its complex and multifactorial origins limit the effectiveness of current clinical predictors and i…

eess.IV2025★ 3 cited

Towards contrast- and pathology-agnostic clinical fetal brain MRI segmentation using SynthSeg

Ziyao Shang, Misha Kaandorp, Kelly Payette +9

Magnetic resonance imaging (MRI) has played a crucial role in fetal neurodevelopmental research. Structural annotations of MR images are an important step for quantitative analysis…

eess.IV2024★ 1 cited

Evaluating Synthetic Data Generation for Domain Generalization in Fetal Brain MRI Segmentation

Vladyslav Zalevskyi, Thomas Sanchez, Margaux Roulet +10

Fetal brain tissue segmentation from magnetic resonance imaging (MRI) is crucial for studying neurodevelopment, but remains challenging due to data heterogeneity and limited annota…

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…