Antonio Stanziola

Antonio Stanziola

Position: Research Fellow
Email: a.stanziola@ucl.ac.uk
Room: Malet Place Engineering Building, 3.23
Address: Department of Medical Physics and Biomedical Engineering
University College London
Malet Place Engineering Building
Gower Street, London, WC1E 6BT

About

I’m a Research Fellow at the Biomedical Ultrasound Group of UCL, where he works on Deep Learning for transcranial acoustic simulations. Before, I obtained a PhD from Imperial College with a thesis on vascular imaging with ultrasound and microbubbles. My research interests are at the interface of machine learning and physical modelling, inverse problems and differentiable programming.

Journal Publications

1.

A. Stanziola; J. A. Pineda-Pardo; B. E. Treeby

Transcranial ultrasound simulation with uncertainty estimation Journal Article

In: JASA Express Letters, 3 (5), pp. 052001, 2023.

Links | BibTeX

2.

A. Stanziola; S. R. Arridge; B. T. Cox; B. E. Treeby

A learned Born series for highly-scattering media Journal Article

In: JASA Express Letters, 3 (5), pp. 052401, 2023.

Links | BibTeX

3.

A. Stanziola; S. R. Arridge; B. T. Cox; B. E. Treeby

j-Wave: An open-source differentiable wave simulator Journal Article

In: SoftwareX, 22 , pp. 101338, 2023.

Abstract | Links | BibTeX

4.

M. Miscouridou; J. A. Pineda-Pardo; C. J. Stagg; B. E. Treeby; A. Stanziola

Classical and Learned MR to Pseudo-CT Mappings for Accurate Transcranial Ultrasound Simulation Journal Article

In: IEEE Transactions of Ultrasonics, Ferroelectrics, and Frequency Control, 69 (10), pp. 2896-2905, 2022.

Links | BibTeX

5.

J-F. Aubry; O. Bates; C. Boehm; K. Butts Pauly; D. Christensen; C. Cueto; P. Gélat; L. Guasch; J. Jaros; Y. Jing; R. Jones; N. Liu; P. Marty; H. Montanaro; E. Neufeld; S. Pichardo; G. Pinton; A. Pulkkinen; A. Stanziola; A. Thielscher; B. E. Treeby; E. van t'Wout

Benchmark problems for transcranial ultrasound simulation: Intercomparison of compressional wave models Journal Article

In: J. Acoust. Soc. Am., 152 (2), pp. 1004–1019, 2022.

Links | BibTeX

6.

A. Stanziola; S. R. Arridge; B. T. Cox; B. E. Treeby

A Helmholtz equation solver using unsupervised learning: Application to transcranial ultrasound Journal Article

In: J. Comput. Phys., 441 , pp. 110430, 2021.

Links | BibTeX

Conference Publications

1.

A. Stanziola; S. R. Arridge; B. T. Cox; B. E. Treeby

A research framework for writing differentiable PDE discretizations in JAX Conference

35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021.

Links | BibTeX

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