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Leveraging Self-supervised Learning for Fetal Cardiac Planes Classification Using Ultrasound Scan Videos
Self-supervised learning (SSL) methods are popular since they can address situations with limited annotated data by directly utilising the underlying...
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BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes
Fetal growth assessment from ultrasound is based on a few biometric measurements that are performed manually and assessed relative to the expected...
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Ensemble-based advancements in maternal fetal plane and brain plane classification for enhanced prenatal diagnosis
In the realm of maternal healthcare, accurate fetal plane detection is of paramount importance. This paper introduces a novel approach that leverages...
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Probabilistic Framework Based on Deep Learning for Differentiating Ultrasound Movie View Planes
Fetal death, infant morbidity and mortality are generally caused by the presence of congenital anomalies. By performing a fetal morphology scan, the...
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AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes
During pregnancy, ultrasound examination in the second trimester can assess fetal size according to standardized charts. To achieve a reproducible...
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Evaluation of Spatiotemporal Fetal Cardiac Imaging Using Deep Learning Techniques
Fetal echocardiography is a standard diagnostic tool used to evaluate and monitor fetuses with a defective heart associated with a number of fetal...
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A highly densed deep neural architecture for classification of the multi-organs in fetal ultrasound scans
Artificial intelligence (AI) makes a substantial contribution to decision-making in many intricate application areas of the medical sciences. One...
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Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound
Self-supervised contrastive representation learning offers the advantage of learning meaningful visual representations from unlabeled medical...
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Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network
Fetal brain magnetic resonance imaging (MRI) is becoming more important for early brain assessment in prenatal examination. Fast acquisition of three...
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Attention mechanism optimized neural network for automatic measurement of fetal anterior-neck-lower-jaw angle in nuchal translucency tests
Nuchal translucency (NT) examination has become a standard item in early pregnancy tests because of its clinical value in detecting early gestational...
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qDWI-Morph: Motion-Compensated Quantitative Diffusion-Weighted MRI Analysis for Fetal Lung Maturity Assessment
Quantitative analysis of fetal lung Diffusion-Weighted MRI (DWI) data shows potential in providing quantitative imaging biomarkers that indirectly...
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The nnU-Net based method for automatic segmenting fetal brain tissues
The magnetic resonance (MR) images of fetuses make it possible for doctors to detect out pathological fetal brains in early stages. Brain tissue...
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Automatic segmentation based on optimization U-Net neural network (OU-NetNN) for fetal cardiac ultrasound images
The primary cause of significant birth defects is congenital heart disease (CHD), which is a significant worldwide health issue. The method remains a...
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Intelligent diagnosis of fetal organs abnormal growth in ultrasound images using an ensemble CNN-TLFEM model
In the realm of obstetrics, ultrasound remains a pivotal imaging technique for monitoring fetal development throughout pregnancy. This study...
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Automated Multi-class Fetal Cardiac Vessel Segmentation in Aortic Arch Anomalies Using T2-Weighted 3D Fetal MRI
Congenital heart disease (CHD) encompasses a range of cardiac malformations present from birth, representing the leading congenital diagnosis. 3D...
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Towards Automatic Risk Prediction of Coarctation of the Aorta from Fetal CMR Using Atlas-Based Segmentation and Statistical Shape Modelling
This paper proposes a fully-automated technique for estimation of an antenatal risk score for Coarctation of the Aorta (CoA) from fetal T2-weighted...
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BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video
Predicting fetal weight at birth is an important aspect of perinatal care, particularly in the context of antenatal management, which includes the...
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Deep Learning-based Spine Centerline Extraction in Fetal Ultrasound
Ultrasound is widely used for fetal screening. It allows for detecting abnormalities at an early gestational age, while being time and cost effective...
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SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI
Volumetric reconstruction of fetal brains from multiple stacks of MR slices, acquired in the presence of almost unpredictable and often severe...
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Dynamic neuro fuzzy diagnosis of fetal hypoplastic cardiac syndrome using ultrasound images
Congenital heart anomalies (CHA) represent a substantial risk to neonates, with 28% to 48% of cases resulting in life-threatening conditions....
