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FetMRQC: an open-source machine learning framework for multi-centric
  fetal brain MRI quality control

FetMRQC: an open-source machine learning framework for multi-centric fetal brain MRI quality control

8 November 2023
Thomas Sanchez
Oscar Esteban
Yvan Gomez
A. Pron
Mériam Koob
Vincent Dunet
Nadine Girard
Andras Jakab
E. Eixarch
G. Auzias
Meritxell Bach Cuadra
ArXivPDFHTML

Papers citing "FetMRQC: an open-source machine learning framework for multi-centric fetal brain MRI quality control"

4 / 4 papers shown
Title
Automatic quality control in multi-centric fetal brain MRI super-resolution reconstruction
Automatic quality control in multi-centric fetal brain MRI super-resolution reconstruction
Thomas Sanchez
Vladyslav Zalevsky
Angeline Mihailo
Gerard Martí Juan
E. Eixarch
Andras Jakab
Vincent Dunet
Mériam Koob
G. Auzias
Meritxell Bach Cuadra
44
0
0
13 Mar 2025
Pathological MRI Segmentation by Synthetic Pathological Data Generation in Fetuses and Neonates
Pathological MRI Segmentation by Synthetic Pathological Data Generation in Fetuses and Neonates
Misha P.T Kaandorp
Damola Agbelese
Hosna Asma-ull
Hyun Gi Kim
K. Payette
P. Grehten
Gennari Antonio Giulio
L. Lanczi
Andras Jakab
MedIm
58
1
0
31 Jan 2025
Maximizing domain generalization in fetal brain tissue segmentation: the
  role of synthetic data generation, intensity clustering and real image
  fine-tuning
Maximizing domain generalization in fetal brain tissue segmentation: the role of synthetic data generation, intensity clustering and real image fine-tuning
Vladyslav Zalevskyi
Thomas Sanchez
Margaux Roulet
Hélène Lajous
Jordina Aviles Verdera
Jana Hutter
Hamza Kebiri
Meritxell Bach Cuadra
OOD
46
1
0
11 Nov 2024
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,412
0
11 Nov 2021
1