Welcome...

dr. G. Dagnino (Giulio)

Assistant Professor

About Me

Giulio is Assistant Professor of Medical Imaging for Robotics in the RaM Lab.

His research interests and expertise are in medical imaging and robotics for medical applications. Giulio, closely working with clinicians, aims to develop novel technologies to improve the current medical procedures, including enhanced treatment and diagnosis. His overall objective is providing as much information and support to the surgical team to produce better outcomes, and improve the quality of life of patients.

Giulio received a 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.

Giulio was postdoc in the Bristol Robotics Laboratory, Bristol, UK (2013-2017) working on robot-assisted fracture surgery (RAFS). In 2017, Giulio joined the Hamlyn Centre, Imperial College London, UK where he and his team developed an MR-safe robotic platform for endovascular intervention.

Expertise

Engineering & Materials Science
Catheters
Imaging Techniques
Lasers
Medical Robotics
Robotics
Robots
Surgery
Medicine & Life Sciences
Robotics

Publications

Recent
Gao, A., Murphy, R. R., Chen, W. , Dagnino, G., Fischer, P., Gutierrez, M. G., Kundrat, D., Nelson, B. J., Shamsudhin, N., Su, H., Xia, J., Zemmar, A., Zhang, D., Wang, C., & Yang, G. (2021). Progress in robotics for combating infectious diseases. Science Robotics, 6(52), [eabf1462]. https://doi.org/10.1126/scirobotics.abf1462
Kundrat, D. , Dagnino, G., Kwok, T. M. Y., Abdelaziz, M. E. M. K., Chi, W., Nguyen, A., Riga, C., & Yang, G-Z. (2021). An MR-Safe Endovascular Robotic Platform: Design, Control, and Ex-Vivo Evaluation. IEEE transactions on biomedical engineering, 68(10), 3110-3121. https://doi.org/10.1109/TBME.2021.3065146
Chi, W. , Dagnino, G., Kwok, T. M. Y., Nguyen, A., Kundrat, D., Abdelaziz, M. E. M. K., Riga, C., Bicknell, C., & Yang, G. (2020). Collaborative Robot-Assisted Endovascular Catheterization with Generative Adversarial Imitation Learning. In 2020 IEEE International Conference on Robotics and Automation (ICRA) (pp. 2414-2420). IEEE. https://doi.org/10.1109/ICRA40945.2020.9196912
Nguyen, A., Kundrat, D. , Dagnino, G., Chi, W., Abdelaziz, M. E. M. K., Guo, Y., Ma, Y., Kwok, T. M. Y., Riga, C., & Yang, G. (2020). End-to-End Real-time Catheter Segmentation with Optical Flow-Guided Warping during Endovascular Intervention. In 2020 IEEE International Conference on Robotics and Automation (ICRA) (pp. 9967-9973). IEEE. https://doi.org/10.1109/ICRA40945.2020.9197307
Abdelaziz, M. E. M. K., Kundrat, D., Pupillo, M., Kwok, T. M. Y., Chi, W. , Groenhuis, V. , Siepel, F. J., Riga, C. , Stramigioli, S., Yang, G-Z. , & Dagnino, G. (2020). Toward a Versatile Robotic Platform for Fluoroscopy and MRI-Guided Endovascular Interventions: A Pre-Clinical Study. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 5411-5418). [8968237] IEEE. https://doi.org/10.1109/IROS40897.2019.8968237
Dagnino, G., Liu, J., Abdelaziz, M. E. M. K., Chi, W., Riga, C., & Yang, G. (2019). Haptic Feedback and Dynamic Active Constraints for Robot-Assisted Endovascular Catheterization. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 1770-1775). IEEE. https://doi.org/10.1109/IROS.2018.8593628
Georgilas, I. , Dagnino, G., Martins, B. A., Tarassoli, P., Morad, S., Georgilas, K., Koehler, P., Atkins, R., & Dogramadzi, S. (2019). Design and Evaluation of a Percutaneous Fragment Manipulation Device for Minimally Invasive Fracture Surgery. Frontiers in robotics and AI, 6, [103]. https://doi.org/10.3389/frobt.2019.00103
Molinero, M. B. , Dagnino, G., Liu, J., Chi, W., Abdelaziz, M. E. M. K., Kwok, T. M. Y., Riga, C., & Yang, G. Z. (2019). Haptic Guidance for Robot-Assisted Endovascular Procedures: Implementation and Evaluation on Surgical Simulator. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019 (pp. 5398-5403). [8967712] IEEE. https://doi.org/10.1109/IROS40897.2019.8967712
Dogramadzi, S., Georgilas, I. , & Dagnino, G. (2018). Apparatus for performing fracture reduction. (Patent No. EP3328306).
Georgilas, I. , Dagnino, G., Tarassoli, P., Atkins, R., & Dogramadzi, S. (2018). Robot-Assisted Fracture Surgery: Surgical Requirements and System Design. Annals of biomedical engineering, 46(10), 1637-1649. https://doi.org/10.1007/s10439-018-2005-y
Chi, W., Liu, J., Abdelaziz, M. E. M. K. , Dagnino, G., Riga, C., Bicknell, C., & Yang, G-Z. (2018). Trajectory Optimization of Robot-Assisted Endovascular Catheterization with Reinforcement Learning. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 3875-3881) https://doi.org/10.1109/IROS.2018.8593421
Dagnino, G., Georgilas, I., Georgilas, K., Köhler, P., Morad, S., Gibbons, P., Atkins, R., & Dogramadzi, S. (2017). Robot-Bone Attachment Device for Robot-Assisted Percutaneous Bone Fragment Manipulation. In K. Radermacher, & F. Rodriguez Y Baena (Eds.), CAOS 2017. 17th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (Vol. 1, pp. 126-120). (EPiC Series in Health Sciences). EasyChair. https://doi.org/10.29007/6wtt
Ma, Y. , Dagnino, G., Georgilas, I., & Dogramadzi, S. (2017). Automatic Tool Detection in X-Ray Images for Robotic Assisted Joint Fracture Surgery. In 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) IEEE. https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.136

UT Research Information System

Google Scholar Link

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Carré (building no. 15), room C3607
Hallenweg 23
7522NH  Enschede
The Netherlands

Navigate to location

Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Carré  C3607
P.O. Box 217
7500 AE Enschede
The Netherlands