congenital heart disease
PulseAugur coverage of congenital heart disease — every cluster mentioning congenital heart disease across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New framework synthesizes fetal heart defect images from masks
Researchers have developed Pos4CHD, a novel framework designed to synthesize realistic medical images of fetal congenital heart defects (CHDs). This positive-free approach uses semantic masks to generate pseudo-positive…
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AI models for heart disease segmentation show poor out-of-distribution generalization
A new research paper evaluates the out-of-distribution (OOD) generalization capabilities of deep learning models for segmenting congenital heart disease (CHD) anatomies. The study found that in-distribution performance …
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New AI framework detects cardiac phases in fetal echocardiography without manual annotation
Researchers have developed ORBIT, a novel self-supervised framework designed to automatically detect cardiac phases in fetal echocardiography without the need for manual annotations. This system learns latent motion tra…
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New SPARC pipeline automates fetal cardiac MRI reconstruction
Researchers have developed a new pipeline called SPARC for reconstructing 3D+time fetal cardiac MRI (fCMR) from 2D+time acquired slices. This pipeline combines physics-informed slice-to-volume reconstruction with deep l…
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Deep learning framework improves fetal heart disease detection
Researchers have developed a novel multi-view deep learning framework designed to classify fetal congenital heart disease (CHD) using echocardiographic images. This system integrates data from multiple angles and employ…