Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data
V Zalevskyi, T Sanchez, M Roulet… - … Conference on Medical …, 2024 - Springer
Segmentation of fetal brain tissue from magnetic resonance imaging (MRI) plays a crucial
role in the study of in utero neurodevelopment. However, automated tools face substantial …
role in the study of in utero neurodevelopment. However, automated tools face substantial …
Automatic Localization of the Pons and Vermis on Fetal Brain MR Imaging Using a U-Net Deep Learning Model
BACKGROUND AND PURPOSE: An MRI of the fetus can enhance the identification of
perinatal developmental disorders, which improves the accuracy of ultrasound. Manual MRI …
perinatal developmental disorders, which improves the accuracy of ultrasound. Manual MRI …
[HTML][HTML] Fetal Gestational Age Prediction in Brain Magnetic Resonance Imaging Using Artificial Intelligence: A Comparative Study of Three Biometric Techniques
Accurately predicting a fetus's gestational age (GA) is crucial in prenatal care. This study
aimed to develop an artificial intelligence (AI) model to predict GA using biometric …
aimed to develop an artificial intelligence (AI) model to predict GA using biometric …
Automated Classification and Size Estimation of Fetal Ventriculomegaly from MRI Images: A Comparative Study of Deep Learning Segmentation Approaches
K Gopikrishna, NR Niranjan, S Maurya… - Procedia Computer …, 2024 - Elsevier
Fetal ventriculomegaly is one of the major risks in prenatal diagnosis, which is an
enlargement of the ventricles of the developing fetus's brain. Timely prediction of these brain …
enlargement of the ventricles of the developing fetus's brain. Timely prediction of these brain …
Artificial Intelligence in Fetal Resting-State Functional MRI Brain Segmentation: A Comparative Analysis of 3D UNet, VNet, and HighRes-Net Models
Introduction: Fetal resting-state functional magnetic resonance imaging (rs-fMRI) is a rapidly
evolving field that provides valuable insight into brain development before birth. Accurate …
evolving field that provides valuable insight into brain development before birth. Accurate …
Transverse Plane Reconstruction and Visualization of Fetal Brain Ventricles
A Harikumar, AK Luke, A Vinod… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Ventriculomegaly is a condition marked by enlarged ventricles in the brain. The need for
better visualization techniques is highlighted by the difficulty of understanding the data …
better visualization techniques is highlighted by the difficulty of understanding the data …
Enhancing Prenatal Diagnosis: Automated Fetal Brain MRI Morphometry
E Masterl, A Parkelj, TV Vesnaver, Ž Špiclin - International Workshop on …, 2024 - Springer
Fetal brain MRI is a pivotal tool for the prenatal diagnosis and prognosis of
neurodegenerative diseases, relying on linear morphologic quantification traditionally …
neurodegenerative diseases, relying on linear morphologic quantification traditionally …
Design and development of a deep learning model for brain abnormality detection using MRI
The research aims to develop a DL model for the detection of abnormalities in MRI images
that works as an automated and accurate detection system that assists health care …
that works as an automated and accurate detection system that assists health care …
Artificial Intelligence Prediction of Gestational Age of Fetal in Brain Magnetic Resonance Imaging versus ultrasound Using three different Biometric Measurements
Accurately predicting a fetus's gestational age (GA) is of utmost importance in prenatal care.
This study aimed to develop an artificial intelligence (AI) model that can automatically predict …
This study aimed to develop an artificial intelligence (AI) model that can automatically predict …