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Towards Fully Automated Segmentation of Rat Cardiac MRI by Leveraging Deep Learning Frameworks
Successful application of deep architectures for rat cardiac segmentation, although of critical importance for preclinical evaluation of cardiac function, has to our knowledge not yet been reported.
Parallel Capsule Networks for Classification of White Blood Cells
We applied our concept to the two current types of CapsNet architectures, studying the performance for networks with different layers of capsules.
Contrastive Fairness in Machine Learning
How can one ensure that the decisions were taken based on merit and not on protected attributes like race or sex?
Sequential anatomy localization in fetal echocardiography videos
Fetal heart motion is an important diagnostic indicator for structural detection and functional assessment of congenital heart disease.
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