Awesome List of Scientific Computing Resources
Useful resources for scientific computing and numerical analysis, with a selection of ultrasound tools
Professional Summary
David Sinden is an applied mathematician whoe research interests include ultrasound modelling, thermal ablation and pharmacokinetic models.
Education
Interests
Research
I’m a research scientist in computational ultrasound. I use computation to predict the mechanical, thermal and biological effects of ultrasound, but also generate synthetic data for deep learning models.
I am also interested in the mathematics that helps understand, predict and ultimately improve image-guided therapies in clinical practice.
Please reach out to collaborate!
Featured Publications
Recent Publications
(2026).
Visual ensemble analysis with deep learning prediction for studying the effect of tissue properties on radiofrequency ablation.
Comput. Graph. Forum e70428.
(2025).
Optimizing microwave ablation planning with the ablation success ratio.
Sci. Rep. 15 10450.
(2024).
Numerical Modelling for Simulation and Planning of Focused Ultrasound Treatments.
In Image-Guided Focused Ultrasound Therapy: Physics and Clinical Applications Ed. F. Wu, G. ter Haar, I. Rivens.
Current Teaching
Recent & Upcoming Talks
Recent Posts
Recent may be a bit of a stretch
Annual Meeting of the Society for Thermal Medicine 2022
Talk on patient-specific computation of microwave ablation presented at Annual Meeting of the Society for Thermal Medicine