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Distributed Learning Approaches for Automated Chest X-Ray Diagnosis
Deep Learning has established in the latest years as a successful approach to address a great variety of tasks.
Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation
Chest X-ray (CXR) is perhaps the most frequently-performed radiological investigation globally.
Brain MRI Tumor Segmentation with Adversarial Networks
In this work, we introduce SegAN-CAT, an approach to brain tumor segmentation in Magnetic Resonance Images (MRI), based on Adversarial Networks.
DOOM Level Generation using Generative Adversarial Networks
We applied Generative Adversarial Networks (GANs) to learn a model of DOOM levels from human-designed content.
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