2 citations · 3 across the 3 of their papers we have counts for
5 papers
Domain generalization in fetal brain MRI segmentation \\with multi-reconstruction augmentation
Priscille de Dumast, Meritxell Bach Cuadra
Quantitative analysis of in utero human brain development is crucial for abnormal characterization. Magnetic resonance image (MRI) segmentation is therefore an asset for quantitati…
Multi-dimensional topological loss for cortical plate segmentation in fetal brain MRI
Priscille de Dumast, Hamza Kebiri, Vincent Dunet +2
The fetal cortical plate (CP) undergoes drastic morphological changes during the in utero development. Therefore, CP growth and folding patterns are key indicator in the assessment…
Synthetic magnetic resonance images for domain adaptation: Application to fetal brain tissue segmentation
Priscille de Dumast, Hamza Kebiri, Kelly Payette +3
The quantitative assessment of the developing human brain in utero is crucial to fully understand neurodevelopment. Thus, automated multi-tissue fetal brain segmentation algorithms…
Segmentation of the cortical plate in fetal brain MRI with a topological loss
Priscille de Dumast, Hamza Kebiri, Chirine Atat +3
The fetal cortical plate undergoes drastic morphological changes throughout early in utero development that can be observed using magnetic resonance (MR) imaging. An accurate MR im…
An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset
Kelly Payette, Priscille de Dumast, Hamza Kebiri +17
It is critical to quantitatively analyse the developing human fetal brain in order to fully understand neurodevelopment in both normal fetuses and those with congenital disorders.…