Carole Frindel

Carole Frindel is an Assistant Professor at INSA Lyon, affiliated with the Biomedical Imaging Research Laboratory (CREATIS), and also holds a position at the Graduate School of Biomedical Engineering, Tohoku University, since 2020. Her work focuses on machine learning, deep learning, and privacy-preserving AI applications in neuroimaging and medical imaging.

• Education: M.Sc. in Computer Vision (Ecole Polytechnique de Montréal, 2005), M.Sc. in Bioinformatics (INSA Lyon, 2006), Industrial Ph.D. in Electrical and Computer Engineering (INSA Lyon & Siemens Healthineers, 2009)

Her research addresses major health challenges through advanced computational methods, including neuroimaging, signal/image processing, image synthesis, and statistical learning, with a strong emphasis on privacy in AI. Recent projects like ANR IMAGE-TEXT-AVC and FIL MEDIKG highlight her leadership in multimodal data fusion and ethical AI development.

The 15 most recent publications reflect trends in stroke outcome prediction, tractography, diffusion MRI, and privacy-preserving healthcare AI. Collaborations with institutions like Siemens Healthineers, French National Research Agencies (ANR), and international conferences (MICCAI, ISBI) underscore her interdisciplinary impact.

• 2025: Junior Member, Institut Universitaire de France
• 2018: Bronze Award, ISMRM
• 2007: Ph.D. Scholarship, Rhône-Alpes region

Frindel supervises numerous Ph.D. and Master’s students, with a focus on stroke lesion analysis, computational fluid dynamics, and privacy in medical AI. Her grants include ANR IMAGE-TEXT-AVC (Principal Investigator) and RHU BOOSTER (Local PI).

Frindel leads the Neuroimaging Working Group at CREATIS and co-organizes conferences like MIDL. She also contributes to editorial boards and peer review for journals and conferences in medical imaging and AI.