Peirong Liu*

Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging

"Recent learning-based approaches have made astonishing advances in calibrated medical imaging like computerized tomography (CT). Yet, they struggle to generalize in uncalibrated modalities – notably magnetic resonance (MR) imaging, where performance is highly sensitive to the differences in MR cont…