• Position: Full Professor
  • Email: filippo.molinari@polito.it
  • Phone number: 011-090-4235
  • ORCID Identifier: 0000-0003-1150-2244
  • Publications: Publication list at IRIS@POLITO
  • Curriculum Vitae: Download

  • Biography:

    Research focus: biomedical signal processing; image processing; ultrasound technology; ultrasound imaging; contrast-enhanced ultrasound imaging; computer-aided diagnosis; image processing in oncology, histology, and neurology; neurovascular assessment; near-infrared spectroscopy; metabolomics and metabolic profiling in pathology. The main research activities of Filippo Molinari are: atherosclerosis and artery plaque assessment; non-invasive characterization of tumor vascularization; neuroimaging for the advanced assessment of neurodegenerative disorders; neurovascular and metabolic assessment of cerebral autoregulation.

    Research areas:

  • EEG signal decomposition in sleep analysis
  • Non-invasive vascular quantification using ultrasound imaging and biomedical optical imaging
  • Multi-modal CT/PET analysis for neuroendocrine tumors
  • Ultrasound B-mode image segmentation and radiomics
  • Quantitative analysis of ECG patterns in Brugada Syndrome
  • Digital pathology image analysis
  • Fluorescence microscopy image analysis
  • Carotid-Femoral Pulse Wave Velocity analysis from Laser Doppler Vibrometer Signals

  • Ongoing funded projects:

  • REAP - Revealing drug tolerant persister cells in cancer using contrast enhanced optical coherence and photoacoustic tomography
  • InSiDe - Integrated silicon photonics for Cardiovascular Disease monitoring
  • Sistema per la normalizzazione della colorazione di preparati istologici in anatomia patologica
  • Discriminazione e quantificazione dei linfociti infiltranti il tumore nel carcinoma della mammella
  • Generazione di immagini CT sintetiche a partire da immagini cone-beam CT
  • AI-VASCUES : quAntitative Imaging of VAScular dysregulation as a funCtional basis for aUtoimmune disordErs and tumorS
  • ImPACT-AI: Development of inclusive quantitative photoacoustic imaging solutions enabled by ethical artificial intelligence

  • Teaching activities:

    Teachings list at DET@POLITO

    Thesis proposals:

    Thesis proposals list at DET@POLITO