For decades, scientists have worked to peer deeper into the brain. They have wanted to see not just surface activity in the ...

Medical image segmentation is one of the most important tasks in modern healthcare. Every pixel in a scan tells a story, whether it marks a healthy cell, a cancerous growth, or a vital organ boundary.

Calibration of imaging through withheld data Martin Uecker and Moritz Blumenthal used self-supervised learning methods to train their machine learning model for MRI imaging.

A new study introduces an innovative method to monitor sludge moisture content in real-time, combining jet imaging and deep ...

Thought experiments can have some advantages over real experiments: they require no special equipment, are low-cost, can be ...

AI-based evaluation of medical imaging data usually requires a specially developed algorithm for each task. Scientists have now presented a new method for configuring self-learning algorithms for ...