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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....
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An adaptive neuro fuzzy methodology for the diagnosis of prenatal hypoplastic left heart syndrome from ultrasound images
Congenital heart defect (CHD) is one of the most serious congenital deformities in a fetus. About 31% to 55% of CHDs are the primary cause that leads...
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Statistical Shape Analysis of the Tricuspid Valve in Hypoplastic Left Heart Syndrome
Hypoplastic left heart syndrome (HLHS) is a congenital heart disease characterized by incomplete development of the left heart. Children with HLHS...
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Skeletal Model-Based Analysis of the Tricuspid Valve in Hypoplastic Left Heart Syndrome
Hypoplastic left heart syndrome is a congenital heart disease characterized by incomplete development of the left heart. Affected children undergo a...
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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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Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities?
Probably yes.—Supervised Deep Learning dominates performance scores for many computer vision tasks and defines the state-of-the-art. However, medical...
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Type and Shape Disentangled Generative Modeling for Congenital Heart Defects
Congenital heart diseases (CHDs) encompass a wide range of cardiovascular structural abnormalities, and CHD patients exhibit complex and unique...
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Hierarchical Geodesic Polynomial Model for Multilevel Analysis of Longitudinal Shape
Longitudinal analysis is a core aspect of many medical applications for understanding the relationship between an anatomical subject’s function and...
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Automatic Re-orientation of 3D Echocardiographic Images in Virtual Reality Using Deep Learning
In 3D echocardiography (3D echo), the image orientation varies depending on the position and direction of the transducer during examination. As a...
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Medical thermograms’ classification using deep transfer learning models and methods
Infrared thermal imaging and deep learning provide intelligent monitoring systems that detect diseases in early phases. However, deep learning models...
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Prediction of the Facial Growth Direction is Challenging
Facial dysmorphology or malocclusion is frequently associated with abnormal growth of the face. The ability to predict facial growth (FG) direction...
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Detecting Outliers with Poisson Image Interpolation
Supervised learning of every possible pathology is unrealistic for many primary care applications like health screening. Image anomaly detection...
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Image Segmentation and Modeling of the Pediatric Tricuspid Valve in Hypoplastic Left Heart Syndrome
Hypoplastic left heart syndrome (HLHS) is a single-ventricle congenital heart disease that is fatal if left unpalliated. In HLHS patients, the...
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Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening
Prenatal screening with ultrasound can lower neonatal mortality significantly for selected cardiac abnormalities. However, the need for human...
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Classification of neonatal diseases with limited thermal Image data
Evaluation of body temperature and thermal symmetry in neonates is important in monitoring health conditions and predicting potential risks. With...
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Model-Based Indices of Early-Stage Cardiovascular Failure and Its Therapeutic Management in Fontan Patients
Investigating the causes of failure of Fontan circulation in individual patients remains challenging despite detailed combined invasive cardiac...
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Physics-based fluid simulation in computer graphics: Survey, research trends, and challenges
Physics-based fluid simulation has played an increasingly important role in the computer graphics community. Recent methods in this area have greatly...
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Discrete sizing optimization of stepped cylindrical silo using PSO method and implicit dynamic FE analysis
Considering the size discreteness of commercially available metal plates and the intrinsic buckling strength vulnerability of slender silo, this...
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Fully Automated Segmentation of Abnormal Heart in New Born Babies
We show an intuitive method to segment the heart chambers and epicardial surfaces, including the colossal vessel dividers, in pediatric...
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Machine Learning Approach for Identification of miRNA-mRNA Regulatory Modules in Ovarian Cancer
Ovarian cancer is a fatal gynecologic cancer. Altered expression of biomarkers leads to this deadly cancer. Therefore, understanding the underlying...