
Medical imaging papers are full of familiar-looking terms: normalization, labels, validation, annotation, and preprocessing. If you come from general machine learning, you may think you already know w
Writing about healthcare AI, medical imaging, data engineering, and scalable ML
Data Engineer and AI developer focused on healthcare AI, medical imaging, and scalable ML systems. Building open-source tools for medical data de-identification, privacy-preserving AI, and healthcare analytics.
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