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Achieving a 74.3% F1 score in microbleed detection reveals a breakthrough in automated MRI analysis that could transform clinical practice.
T2-weighted MRI alone can outperform standard T2w+DWI in prostate cancer localization, thanks to a clever training scheme that leverages DWI as a "privileged" latent modality.
By disentangling the morphological features of lacunes and enlarged perivascular spaces, this model significantly boosts lacunae detection precision, outperforming previous state-of-the-art methods.
Ditch the complex finite-element models: NICP offers a lightweight, accurate, and engineering-friendly alternative for deformable liver registration in surgical AR.