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Automatic Segmentation and Location Learning of Neonatal Cerebral Ventricles in 3D Ultrasound Data Combining CNN and CPPN
Preterm neonates are highly likely to suffer from ventriculomegaly, a dilation of the Cerebral Ventricular System (CVS).
Magnetic Resonance Spectroscopy Quantification using Deep Learning
Magnetic resonance spectroscopy (MRS) is an important technique in biomedical research and it has the unique capability to give a non-invasive access to the biochemical content (metabolites) of scanned organs.
Towards integrating spatial localization in convolutional neural networks for brain image segmentation
In this work, we propose different ways to introduce spatial constraints into the network to further reduce prediction inconsistencies.
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