Sometimes you think you understand something, but you fail to explain it. This is the time that you have to look back from a different perspective and start ...

Nowadays, transfer learning from pretrained models on Imagenet is the ultimate standard in computer vision. Self-supervised learning dominates natural ...

An infinite amount of times I have found myself in desperate situations because I had no idea what was happening under the hood. And, for a lot of people in ...

In the previous post, we thoroughly introduced and inspected all the aspects of the LSTM cell. One may argue that RNN approaches are obsolete and there is ...

When I realized that I cannot apply common image processing pipelines in medical images, I was completely discouraged. Why does such functionality not ...

If you open any introductory machine learning textbook, you will find the idea of input scaling. It is undesirable to train a model with gradient descent ...

If you believe that medical imaging and deep learning is just about segmentation, this article is here to prove you wrong. We will cover a few basic ...

I have always worked on computer vision applications. Honestly, transformers and attention-based methods were always the fancy things that I never spent the ...

I have always worked on computer vision applications. Honestly, transformers and attention-based methods were always the fancy things that I never spent the ...

Novel deep learning models in medical imaging appear one after another. The thing that these models still significantly lack is the ability to generalize to ...