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The most common mistake in Machine Learning: How to quantify uncertainty? Likelihood vs Confidence

About I started writing this post because of the most common misconception that I have always found in Machine Learning, almost always causing some practical problems. But the truth is that I extended the post much more and ended up becoming also one about how… Read More »The most common mistake in Machine Learning: How to quantify uncertainty? Likelihood vs Confidence

Conditional Generative Adversarial Neural Networks for Metal Artifact Reduction in Spine CT Images

Machine learning is changing the world. One of the most impressive advances are generative models. Over time it will be increasingly difficult to differentiate a fake video, image or audio from a real one. Having fun applications, others very useful, and could even become dangerous… Read More »Conditional Generative Adversarial Neural Networks for Metal Artifact Reduction in Spine CT Images