Erika Sánchez-Femat

Artificial Intelligence Researcher

Erika Sánchez-Femat

about me

My main interest is imaging science: extracting reliable information from noisy, imperfect, or incomplete images, through image processing, noise modeling, and quantitative image analysis. My current research focuses on image processing pipelines and multimodal models to classify possible breast cancer cases from incomplete studies, combining X-ray images, BI-RADS reports, and radiomics features. I also work on related problems in astronomical imaging, and I’m interested in methods that transfer across domains such as astronomy, biology, and medicine.

role
PhD Student @ Universidad Autónoma de Zacatecas
focus
Image processing | Bioimage informatics | Computer vision
based in
Zacatecas, México

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Coolest projects I've done

fastrad

GPU-accelerated Python library for calculating radiomics features from medical images

CBIS-DDSM-R

A Curated Radiomic Feature Dataset for Breast Cancer Classification