Imperial College London

DrFabioTatti

Faculty of EngineeringDepartment of Mechanical Engineering

Research Associate
 
 
 
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Contact

 

f.tatti Website

 
 
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Location

 

708City and Guilds BuildingSouth Kensington Campus

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Summary

 

Summary

Fabio is a research associate in the Mechatronics in Medicine lab, where he is currently developing new technologies and workflows for computer-assisted orthopaedic surgery. His research is funded by INNOVATE UK and focuses on translational medicine, with the objective of bringing the power of advanced digital and robotic technologies into the operating room.

Fabio has very diverse interests and background, spanning from robotics and bioengineering to psychophysics and neuroscience. He is passionate about multidisciplinary research and his goal is to create new assistive, rehabilitative, and medical technology that can truly empower individuals and improve their quality of life.

Biography

Fabio holds a B.Sc. in Biomedical Engineering (2010), a M.Sc. in Bioengineering (2012), and a PhD in Bioengineering and Robotics (2017), all from the University of Genoa, Italy.

Before joining Imperial College, he was a postdoctoral research fellow in the Robotics, Brain and Cognitive Sciences department of the Italian Institute of Technology, where his research focused on the use of haptic technology for psychophysics and rehabilitation.

Publications

Journals

Schlueter-Brust K, Henckel J, Katinakis F, et al., 2021, Augmented-reality-assisted K-wire placement for glenoid component positioning in reversed shoulder arthroplasty: a proof-of-concept study, Journal of Personalized Medicine, Vol:11, ISSN:2075-4426, Pages:1-8

Iqbal H, Tatti F, Baena FRY, 2021, Augmented reality in robotic assisted orthopaedic surgery: A pilot study, Journal of Biomedical Informatics, Vol:120, ISSN:1532-0464

Conference

Tatti F, Iqbal H, Jaramaz B, et al., 2020, A novel computer-assisted workflow for treatment of osteochondral lesions in the knee, CAOS 2020. The 20th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, EasyChair, Pages:250-253

Hu X, Fabrizio C, Tatti F, et al., 2020, Automatic calibration of commercial optical see-through head-mounted displays for medical applications, 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, IEEE, Pages:754-755

Darwood A, Hurst S, Villatte G, et al., Towards a commercial system for intraoperative manufacture of patient-specific guides for shoulder arthroplasty, CAOS 2019. The 19th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, EasyChair, Pages:110-114

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