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Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging
Fetal magnetic resonance imaging (MRI) is challenged by uncontrollable, ...
09/25/2019 ∙ by Ayush Singh, et al. ∙
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Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks
Fully convolutional deep neural networks have been asserted to be fast a...
03/28/2018 ∙ by Seyed Raein Hashemi, et al. ∙
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Real-time Deep Registration With Geodesic Loss
With an aim to increase the capture range and accelerate the performance...
03/15/2018 ∙ by Seyed Sadegh Mohseni Salehi, et al. ∙
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Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning
Brain segmentation is a fundamental first step in neuroimage analysis. I...
10/25/2017 ∙ by Seyed Sadegh Mohseni Salehi, et al. ∙
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Tversky loss function for image segmentation using 3D fully convolutional deep networks
Fully convolutional deep neural networks carry out excellent potential f...
06/18/2017 ∙ by Seyed Sadegh Mohseni Salehi, et al. ∙
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Auto-context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging
Brain extraction or whole brain segmentation is an important first step ...
03/06/2017 ∙ by Seyed Sadegh Mohseni Salehi, et al. ∙
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