Peirong Liu

Deformable registration barely outperforms simple affine baselines for neurovascular MRI-MRA fusion, frequently generating anatomically nonsensical deformations that easily trick standard image-similarity metrics.

Out-of-domain self-supervised pretraining on brain MRIs beats in-domain supervised learning when generalizing to real-world clinical data.