Imperial College London

DrGiulioDagnino

Faculty of Engineering

Research Associate
 
 
 
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Contact

 

g.dagnino

 
 
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Location

 

306Huxley BuildingSouth Kensington Campus

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Summary

 

Summary

Giulio Dagnino is a Research Associate at the Hamlyn Centre for Robotic Surgery, Imperial College London, UK, working on robot-assisted endovascular intervention technologies. He received his MSc in Biomedical Engineering in 2007 at the University of Genoa, Italy. He graduated with a PhD in Medical Robotics from the Italian Institute of Technology in 2013, with a dissertation on new technologies for robot-assisted laser microsurgery. He joined the Bristol Robotics Laboratory, Bristol, UK in 2013 as a postdoctoral Research Fellow working on robot-assisted fracture surgery (RAFS). Previous subjects include:

  • vision-based control of a robotic manipulator for laser phonomicrosurgery, and in-situ lesion detection - within the EU-funded µRALP project.
  • Real-time vision-based position control, force control, 3D modelling of fractures from CT data, image registration, path planning, user interfaces, system integration, cadaveric trials - within the NIHR-funded RAFS project.

Dr Dagnino's main research interests are in medical imaging and robotics, including medical image processing, surgical systems design and prototyping, integration, and translation into clinical environments.

Dr Dagnino serves as a reviewer in numerous research conferences and journals (including ICRA, IPCAI, IJCARS) and review editor in "Biomedical Robotics" - Frontiers in Robotics and AI. He is Associate Fellow of the Higher Education Academy, and member of the IEEE Robotics and Automation Society.


Selected Publications

Journal Articles

Troccaz J, Dagnino G, Yang G-Z, 2019, Frontiers of Medical Robotics: From Concept to Systems to Clinical Translation., Annu Rev Biomed Eng

Georgilas I, Dagnino G, Tarassoli P, et al., 2018, Robot-Assisted Fracture Surgery: Surgical Requirements and System Design, Annals of Biomedical Engineering, Vol:46, ISSN:0090-6964, Pages:1637-1649

Dagnino G, Georgilas I, Morad S, et al., 2017, Image-Guided Surgical Robotic System for Percutaneous Reduction of Joint Fractures, Annals of Biomedical Engineering, Vol:45, ISSN:0090-6964, Pages:2648-2662

Dagnino G, Georgilas I, Morad S, et al., 2017, Intra-operative fiducial-based CT/fluoroscope image registration framework for image-guided robot-assisted joint fracture surgery, International Journal of Computer Assisted Radiology and Surgery, Vol:12, ISSN:1861-6410, Pages:1383-1397

Dagnino G, Georgilas I, Kohler P, et al., 2016, Navigation system for robot-assisted intra-articular lower-limb fracture surgery, International Journal of Computer Assisted Radiology and Surgery, Vol:11, ISSN:1861-6410, Pages:1831-1843

Dagnino G, Georgilas I, Tarassoli P, et al., 2016, Vision-based real-time position control of a semi-automated system for robot-assisted joint fracture surgery, International Journal of Computer Assisted Radiology and Surgery, Vol:11, ISSN:1861-6410, Pages:437-455

Dagnino G, Mattos LS, Caldwell DG, 2015, A vision-based system for fast and accurate laser scanning in robot-assisted phonomicrosurgery, International Journal of Computer Assisted Radiology and Surgery, Vol:10, ISSN:1861-6410, Pages:217-229

Conference

Dagnino G, Georgilas I, Kohler P, et al., 2016, Image-Based Robotic System for Enhanced Minimally Invasive Intra-Articular Fracture Surgeries, IEEE International Conference on Robotics and Automation (ICRA), IEEE, Pages:696-701, ISSN:1050-4729

More Publications