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A deep learning pipeline for identification of motor units in musculoskeletal ultrasound
In this work, we present an alternative method - a deep learning pipeline - to identify active MUs in ultrasound image sequences, including segmentation of their territories and signal estimation of their mechanical responses (twitch train).
Segmentation of Lungs in Chest X-Ray Image Using Generative Adversarial Networks
In our work, the generator of the GAN is trained to generate a segmented mask of a given input CXR.
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