Filippo Molinari

Filippo Molinari is a Full Professor at the Politecnico di Torino, affiliated with the Department of Electronics and Telecommunications (DET). His research focuses on biomedical signal processing, medical imaging, and AI-driven diagnostic tools, particularly in neuroimaging, ultrasound technology, and oncology. Key areas include non-invasive vascular quantification, neurovascular assessment, and multi-modal imaging analysis for neurodegenerative disorders.

• Research areas: Ultrasound imaging, EEG signal decomposition, CT/PET analysis, and radiomics.
• Leading projects: REAP (photoacoustic tomography for cancer), InSiDe (cardiovascular disease monitoring), and AI-driven stain normalization in pathology.
• Teaching and thesis supervision at DET@POLITO, with a focus on biomedical engineering and signal processing.

Recent work emphasizes AI explainability, uncertainty quantification in medical models, and augmented reality for surgical training. Over 50 publications since 2021, including studies on MRI-based brain disorder detection and deep learning for stroke classification.

Ongoing collaborations involve multi-center studies on vascular imaging, digital pathology, and AI ethics in healthcare.