Non-invasive prostate cancer detection from MRI has the potential to
rev...
In this paper, we review physics- and data-driven reconstruction techniq...
Historically, patient datasets have been used to develop and validate va...
Early prostate cancer detection and staging from MRI are extremely
chall...
We study generalization in deep learning by appealing to complexity meas...
A new design methodology for neural networks that is guided by tradition...