Bio

I am a Senior Research Fellow in the Department of Medical Physics and Biomedical Engineering, a member of the Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS) and the Centre for Medical Image Computing (CMIC). I studied Technical Software Engineering in Computer Science (equivalent to a BSc in Computer Science) and an Engineering in Computer Science (equivalent to an MSc in Computer Science). Additionally, I hold a MSc in Computer Vision and a PhD in Technology. I did all my studies at the University of Girona. My research interests are focused on the development of computer assisted interventions, medical image analysis and deep learning. Currently, I am developing data-driven approaches for the early detection of pancreatic cancer during endoscopy ultrasound interventions (EUS). I have also developed a guidance system for EUS to assist clinicians during navigation and diagnosis of pancreatobiliary disorders. I am also passionate about teaching and public engagement activities.

Research projects

Advanced ultrasound modes for Interventional applications (DOORS)

The aim of the platform DOORS is to create advanced ultrasound modes to facilitate novel advances in ultrasound to be integrated in the clinical setting.

Synthetic UltraSound Images (SUSI) working group

We have created a method based on CycleGAN to generate synthetic ultrasound images. We are still working on the public version of the code and the synthetic dataset. Please contact me if you wish early access to the code at: e.bonmati-at-ucl.ac.uk.

Endoscopic ultrasound (EUS)

Optimal ultrasound planes for the initialisation of image registration [paper].
Assessment of electromagnetic tracking accuracy [paper].

Pelvic floor

Targeted prostate biopsy

Research highlights

UCL CMIC Summer school 2021 (only available to registered atendees).

RSIP Vision virtual seminar: Endoscopic Ultrasound AI-Guided Interventions: current approaches and challenges

In this talk, I present my research on a computer-assisted navigation system for guiding EUS interventions. In particular, I show an accuracy study for real-time 3D probe tracking, a new framework for initializing computer-assisted EUS navigation, and a prototype navigation system. I also introduce some challenges that I think we need to overcome in the future, especially when using ultrasound and artificial intelligence.

WEISS Researcher elevator pitch

1 minute research elevator pitch, explaining my work on the use endoscopic ultrasound for the detection of pancreatic cancer.

CMIC Image-guided interventions

UCL CMIC Research Spotlight: Image-Guided Interventions.

DeepReg: CMIC/WEISS seminar

DeepReg team talk at the CMIC/WEISS seminar series.

Other projects

Public and Patient Engagement

The Surgical Stand Off

Competitive game that illustrated the sometimes cut-throat world of research while allowing WEISS researchers share stories of their pioneering research. Each researcher had only 1 minute to convince the panel that their research is the most essential.

Contact

e.bonmati-at-ucl.ac.uk