Impact of Skin Tone Diversity on Out-of-Distribution Detection Methods in Dermatology
- Assala Benmalek
- Celia Cintas
- et al.
- 2024
- MICCAI 2024
Celia Cintas is a Research Scientist at IBM Research Africa - Nairobi, Kenya. She is a member of the AI Science team at the Kenya Lab. Her current research focuses on the improvement of ML techniques to address challenges on Global Health in developing countries and exploring subset scanning for representation characterization of generative models.
Previously, a grantee from the National Scientific and Technical Research Council (CONICET) working on Deep Learning techniques at LCI-UNS and IPCSH-CONICET (Argentina) as part of the Consortium for Analysis of the Diversity and Evolution of Latin America (CANDELA). During her Ph.D., she was a visiting student at the University College of London (UK). She was also a Postdoc researcher visitor at Jaén University (Spain), applying ML to Heritage and Archeological studies.
She holds a Ph.D. in Computer Science from Universidad del Sur (Argentina). Co-chair of several Scipy Latinamerica conferences. Financial Aid Co-Chair for the SciPy (USA) Committee (2016-2019) and Diversity Co-Chair for SciPy (2020-2022). Workshop Co-chair at ICLR 2023, African Workshop Co-chair at MICCAI 2024, Diversity Co-chair for ISBI-IEEE 2023 and 2024, among others.