Stefano Moriconi
PhD - Med. Physics and Biomed. Engineering at UCL; Post-doc Research Associate - BMEIS at KCL; SCAN at Inselspital and University of Bern; Lead Innovation Expert - AI and Digital Twin at Zeiss Medical Technology.
Biosketch
Board Certified Engineer. BSc. and MSc. Biomedical Engineering at Politecnico di Milano, jr. Research Fellow at the Italian National Research Council, PhD in Medical Physics and Biomedical Engineering at University College London, Research Associate at King’s College London - School of Biomedical Engineering & Imaging Sciences, Post-doctoral Research Associate at Inselspital and University of Bern - HORAO project. R&D Lead Innovation Expert for AI & Digital Twin in Advanced Development for Microsurgery at Zeiss Medical Technology - Sr. applied research scientist, project management, and interdisciplinary innovation portfolio.
Reserach and Expertise
Image processing for neurosurgery; interventional robotics and surgical microscopes; quantitative medical image analysis; neurovascular imaging: CT-, MR-Angio; computer vision and pattern recognition; parametric modelling and digital twins; AI-enabled predictive modelling for clinical translation, including diffusion-based denoising and edge-deployed inference (NVIDIA Clara/Holoscan); CAD/CAE and computational simulations for engineering; computer graphics: raster, vector, and high-dimensional differential geometry; rendering and advanced visualisations in healthcare; machine learning and AI-based solutions for predictive neurology in stroke; cross-functional R&D leadership: IP generation, pipeline definition, budget/resource allocation, risk mitigation in early applied concepts and prototypes for production.
Released Tool-kits
Computer Vision
VTrails - Geodesic Vascular Toolkit for Cerebrovascular Trees Inference.
libmpMuelMat - Computational Tools for Polarimetric Mueller Matrix Image Processing.
Digital Twin & Computational Modelling
pyHexNURBS-IGA - NURBS-conforming scaffolding and Isogeometric Analysis (IGA) for hexahedral N-junction geometries (branching vascular/airway trees, engineered lattices).
VoLoAn - ChestWall Motion & Volume Local Analysis (in collaboration with Andrea F. Motta).
AI / ML
PDDN - Denoising Diffusion Network for polarimetric imaging, GPU-accelerated.
SparkCopilot - Local-first, self-hosted AI coding agent and orchestration stack for on-device inference hardware (NVIDIA DGX Spark), with a reasoning-model gateway and a live web dashboard.
Graphics & Rendering
TriDecimate - High-performance, deterministic triangle-mesh decimation (CPU OpenMP / CUDA GPU backends).
TriRasterizer - Data-race-free, deterministic 2D triangle rasterizer (C11, optional CUDA), bit-identical across CPU/GPU.
pyRayTRender - Pure-Python, dependency-free ray-tracing engine for triangular-mesh scenes.
and few more here 
Relevant Publications
Tangwiriyasakul C., Borges P., Pombo G., Moriconi S., et al., Deep generative computed perfusion-deficit mapping of ischaemic stroke, Nature Communications Biology (2026).
Gros E., Rodriguez-Nunez O., Moriconi S., et al., Alignment of histological and polarimetric large-scale imaging for brain tissue characterization, Journal of Biomedical Optics (2025).
Moriconi S., Rodriguez-Nunez O., Gros R., Felger L. A., et al., Near-real-time Mueller polarimetric image processing for neurosurgical intervention, International Journal of Computer Assisted Radiology and Surgery (2024).
Gros E., Rodriguez-Nunez O., Felger L. A., Moriconi S., et al., Characterization of polarimetric properties in various brain tumor types using wide-field imaging Mueller polarimetry, IEEE Transactions on Medical Imaging (2024).
Moriconi S., Nachev P., Ourselin S., Cardoso M. J., Solid NURBS conforming scaffolding for isogeometric analysis, arXiv e-prints (2022), arXiv-2206.
Moriconi S., Rehwald R., Zuluaga M. A., Jäger H. R., Nachev P., Ourselin S., Cardoso M. J., Towards quantifying neurovascular resilience, CVII-STENT MICCAI Workshop (2019), Springer.
Moriconi S., Zuluaga M. A., Jäger H. R., Nachev P., Ourselin S., Cardoso M. J., Elastic registration of geodesic vascular graphs, MICCAI (2018), Springer.
Moriconi S., Zuluaga M. A., Jäger H. R., Nachev P., Ourselin S., Cardoso M. J., Inference of cerebrovascular topology with geodesic minimum spanning trees, IEEE Transactions on Medical Imaging (2018).
Moriconi S., Zuluaga M. A., Jäger H. R., Nachev P., Ourselin S., Cardoso M. J., VTrails: Inferring vessels with geodesic connectivity trees, IPMI (2017), Springer.
A more complete list 
and 
Talks and Engagements
Zeiss Innovation Summit - Corporate-wide [2024-2026]: Novel technologies and features presentation for applied research in AI, digital twins, and micro-surgical robotics.
IPCAI @ CARS 2024 Computer Assisted Radiology and Surgery - [18-19.6.2024]: Near-Real-Time Mueller Polarimetric Image Processing for Neurosurgical Intervention.
Swiss Translational Medical Imaging Network Workshop - [11-12.9.2023]: Neurovascular Digital Twins.
SPIE PW 2023 Polarized Light and Optical Angular Momentum for Biomedical Diagnostics - [28.1-2.2.2023]: Denoising Diffusion Networks Applied to Mueller Polarimetric Images of Brain Tissue.
Nacht der Forschung (Night of Research) - CAIM - Center for Artificial Intelligence in Medicine [10.9.2022]: Exhibition and Public Engagement.
MICCAI 2019 - CVII-STENT Workshop Invited Speaker [13.10.2019]: Elastic Registration of Vascular Graphs.
MICCAI 2019 - CVII-STENT Workshop [13.10.2019]: Towards Quantifying Neurovascular Resilience.
New Scientist Live 2019 - Operating Theatre of the Future [10-11.10.2019]: Exhibition.
MICCAI 2018 - Main Conference [17.9.2018]: Elastic Registration of Geodesic Vascular Graphs.
MICCAI 2018 - CVII-STENT Workshop Invited Speaker [16.9.2018]: Inference of Cerebrovascular Topology with Geodesic Minimum Spanning Trees.
Resume
Contacts and Business
stefano.nicola.moriconi@gmail.com
VTrails Toolkit YouTube Channel
Business & Consulting
Network and Collaborations
