Giulio is Associate 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

  • Computer Science

    • Robot
    • Robotics
    • Design
    • Procedures
    • Control
  • Medicine and Dentistry

    • Accuracy
    • Surgery
    • Joint Fracture

Organisations

Publications

Jump to: 2024 | 2023 | 2021 | 2020

2024

CathAction: A Benchmark for Endovascular Intervention Understanding (2024)[Working paper › Preprint]. ArXiv.org. Huang, B., Vo, T., Kongtongvattana, C., Dagnino, G., Kundrat, D., Chi, W., Abdelaziz, M., Kwok, T., Jianu, T., Do, T., Le, H., Nguyen, M., Nguyen, H., Tjiputra, E., Tran, Q., Xie, J., Meng, Y., Bhattarai, B., Tan, Z., … Nguyen, A.https://doi.org/10.48550/arXiv.2408.13126Automated Passive Tracking for MR-guided Endovascular Interventions (2024)In 2024 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2024 - Proceedings. IEEE. Reinok, M., Dagnino, G. & Brink, W.https://doi.org/10.1109/MeMeA60663.2024.10596919Robot-assistive minimally invasive surgery: trends and future directions (2024)International Journal of Intelligent Robotics and Applications (E-pub ahead of print/First online). Dagnino, G. & Kundrat, D.https://doi.org/10.1007/s41315-024-00341-2MR-based navigation for robot-assisted endovascular procedures (2024)International Journal of Intelligent Robotics and Applications (E-pub ahead of print/First online). Bijlsma, J., Kundrat, D. & Dagnino, G.https://doi.org/10.1007/s41315-024-00340-3

2023

Editorial: Translational research in medical robotics-challenges and opportunities (2023)Frontiers in robotics and AI, 10. Article 1270823. Dagnino, G., Kundrat, D., Moreira, P., Wurdemann, H. A. & Abayazid, M.https://doi.org/10.3389/frobt.2023.1270823In-vivo Validation of a Novel Robotic Platform for Endovascular Intervention (2023)IEEE transactions on biomedical engineering, 70(6), 1786-1794. Dagnino, G., Kundrat, D., Kwok, T. M. Y., Abdelaziz, M. E. M. K., Chi, W., Nguyen, A., Riga, C. & Yang, G.-Z.https://doi.org/10.1109/TBME.2022.3227734Towards an Action Recognition Framework for Endovascular Surgery (2023)In 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 - Proceedings (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). IEEE. Bos, J., Kundrat, D. & Dagnino, G.https://doi.org/10.1109/EMBC40787.2023.10341057

2021

An MR-Safe Endovascular Robotic Platform: Design, Control, and Ex-Vivo Evaluation (2021)IEEE transactions on biomedical engineering, 68(10), 3110-3121. Kundrat, D., Dagnino, G., Kwok, T. M. Y., Abdelaziz, M. E. M. K., Chi, W., Nguyen, A., Riga, C. & Yang, G.-Z.https://doi.org/10.1109/TBME.2021.3065146Progress in robotics for combating infectious diseases (2021)Science Robotics, 6(52). Article eabf1462. 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.-Z.https://doi.org/10.1126/scirobotics.abf1462

2020

Collaborative Robot-Assisted Endovascular Catheterization with Generative Adversarial Imitation Learning (2020)In 2020 IEEE International Conference on Robotics and Automation (ICRA) (pp. 2414-2420). IEEE. Chi, W., Dagnino, G., Kwok, T. M. Y., Nguyen, A., Kundrat, D., Abdelaziz, M. E. M. K., Riga, C., Bicknell, C. & Yang, G.-Z.https://doi.org/10.1109/ICRA40945.2020.9196912End-to-End Real-time Catheter Segmentation with Optical Flow-Guided Warping during Endovascular Intervention (2020)In 2020 IEEE International Conference on Robotics and Automation (ICRA) (pp. 9967-9973). IEEE. 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.-z.https://doi.org/10.1109/ICRA40945.2020.9197307Toward a Versatile Robotic Platform for Fluoroscopy and MRI-Guided Endovascular Interventions: A Pre-Clinical Study (2020)In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 5411-5418). Article 8968237. IEEE. 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.https://doi.org/10.1109/IROS40897.2019.8968237

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University of Twente

Carré (building no. 15), room C3607
Hallenweg 23
7522 NH Enschede
Netherlands

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