NIH R01 · 2025
Project Summary Title Fast and Robust Deep Learning for Medical imaging: Segmentation and Registration methods invariant to con- trast and resolution. Summary Segmentation and registration are critical tasks in a broad range of scientific studies, and have been widely implemented in imaging analysis frameworks. Unfortunately, most existing tools suffer from two important draw- backs: they are computationally demanding, and most often impose limiting restrictions on the type of image data that can be accurately analyzed. While the former drawback has been recently addressed through the use of deep neural networks that execute rapidly once trained, these systems amplify the latter, which…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.