Stefano Moriconi
Scholar

Stefano Moriconi

Google Scholar ID: _Qm_rIYAAAAJ
King's College London & Inselspital Bern
Biomedical Engineering - Medical Imaging
Citations & Impact
All-time
Citations
225
 
H-index
9
 
i10-index
7
 
Publications
20
 
Co-authors
25
list available
Resume (English only)
Academic Achievements
  • Released several tool-kits such as VTrails (Geodesic Vascular Toolkit for Cerebrovascular Trees Inference), Dyno-M (Dynamometric HandGrip Analysis), VoLoAn (ChestWall Motion & Volume Local Analysis), and more. Published multiple relevant papers including 'VTrails: Inferring vessels with geodesic connectivity trees', 'Inference of cerebrovascular topology with geodesic minimum spanning trees', etc.
Research Experience
  • Lead Innovation Expert: AI & Digital Twin at Zeiss Medical Technology; Post-doctoral Research Associate at Inselspital and University of Bern - HORAO project; Research Associate at King's College London - School of Biomedical Engineering & Imaging Sciences; PhD research at UCL in Medical Physics and Biomedical Engineering.
Education
  • BSc. and MSc. in Biomedical Engineering from Politecnico di Milano; PhD in Medical Physics and Biomedical Engineering from University College London; Junior Research Fellow at the Italian National Research Council; Research Associate at King’s College London - School of Biomedical Engineering & Imaging Sciences; Post-doctoral Research Associate at Inselspital and University of Bern.
Background
  • Research interests include image processing for neurosurgery, interventional robotics and surgical microscopes, quantitative medical image analysis, neurovascular imaging, computer vision and pattern recognition, parametric modeling and digital twins, CAD/CAE and computational simulations for engineering, computer graphics, rendering and advanced visualizations in healthcare, machine learning and AI-based solutions for predictive neurology.
Miscellany
  • Participated in various academic conferences and speaking engagements, such as IPCAI @ CARS 2024, Swiss Translational Medical Imaging Network Workshop, SPIE PW 2023, and more.