I think there is a lot of more practical deep learning that are coming out, but it often times working with the people who know the field intimately.
For example, in my PhD thesis project, I am making a series of deep learning models to make a cardiac MRI autopilot. I've build a series of deep learning networks to localize the cardiac landmarks that define the cardiac imaging planes. And our group has even made it into a clinical prototype that works within our imaging workflow.
I think the field is shifting in that ML technologies are increasingly requiring domain level knowledge in order to make a practical endpoint.
For example, in my PhD thesis project, I am making a series of deep learning models to make a cardiac MRI autopilot. I've build a series of deep learning networks to localize the cardiac landmarks that define the cardiac imaging planes. And our group has even made it into a clinical prototype that works within our imaging workflow.
I think the field is shifting in that ML technologies are increasingly requiring domain level knowledge in order to make a practical endpoint.