most citedFetpype: An Open-Source Pipeline for Reproducible Fetal Brain MRI Analysis

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

collaborators

6 papers

cs.CV2026

SIAM: Head and Brain MRI Segmentation from Few High-Quality Templates via Synthetic Training

Romain Valabregue, Ines Khemir, Eric Badinet +3

Synthetic training has recently advanced brain MRI segmentation by enabling contrast-agnostic models trained entirely on generated data. However, most existing approaches rely on h…

cs.CV2025

Fast and Explicit: Slice-to-Volume Reconstruction via 3D Gaussian Primitives with Analytic Point Spread Function Modeling

Maik Dannecker, Steven Jia, Nil Stolt-Ansó +4

Recovering high-fidelity 3D images from sparse or degraded 2D images is a fundamental challenge in medical imaging, with broad applications ranging from 3D ultrasound reconstructio…

eess.IV20251 cited

Fetpype: An Open-Source Pipeline for Reproducible Fetal Brain MRI Analysis

Thomas Sanchez, Gerard Martí-Juan, David Meunier +6

Fetal brain magnetic resonance imaging (MRI) is crucial for assessing neurodevelopment in utero. However, fetal MRI analysis remains technically challenging due to fetal motion, lo…

cs.CV2025

Physics-Informed Joint Multi-TE Super-Resolution with Implicit Neural Representation for Robust Fetal T2 Mapping

Busra Bulut, Maik Dannecker, Thomas Sanchez +9

T2 mapping in fetal brain MRI has the potential to improve characterization of the developing brain, especially at mid-field (0.55T), where T2 decay is slower. However, this is cha…

cs.CV2025

CINeMA: Conditional Implicit Neural Multi-Modal Atlas for a Spatio-Temporal Representation of the Perinatal Brain

Maik Dannecker, Vasiliki Sideri-Lampretsa, Sophie Starck +5

Magnetic resonance imaging of fetal and neonatal brains reveals rapid neurodevelopment marked by substantial anatomical changes unfolding within days. Studying this critical stage…

eess.IV2025

Automatic quality control in multi-centric fetal brain MRI super-resolution reconstruction

Thomas Sanchez, Vladyslav Zalevskyi, Angeline Mihailov +7

Quality control (QC) has long been considered essential to guarantee the reliability of neuroimaging studies. It is particularly important for fetal brain MRI, where acquisitions a…