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Juan E. Iglesias

2 accepted papers

2025

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization

CVPR 2025poster

Data-driven machine learning has made significant strides in medical image analysis. However, most existing methods are tailored to specific modalities and assume a particular resolution (often isotropic). This limits their generalizability in clinical settings, where variations in scan appearance a…

2024

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

ECCV 2024poster

"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…