Julia Camps
Julia Camps
Wolfson Building, Parks Road, Oxford OX1 3QD
Interests
My research interest is the intersection between data-driven and mechanistic representations of the human heart for the realisation of precision cardiology. My research focuses on developing inference and machine learning technologies that enable the generation of digital twins of the human heart for the realisation of precision medicine through in silico trials.
My publications demonstrate examples of how data can be combined with expert knowledge to augment its information compared to traditional machine learning approaches.
All the tools developed during my research are publicly available.
Biography
I graduated as an Informatics Engineer at the Universitat Politècnica de Catalunya in 2014. After one year in industry, I enrolled in the Master's in Artificial Intelligence at the same university (2015-2017), followed by a DPhil in Computer Science at the University of Oxford (2017-2021) within the Computational Cardiovascular Science research group under the supervision of Prof Blanca Rodriguez. During my PhD, I developed statistical methods for the generation of cardiac digital twins from multimodal clinical data to improve therapeutical and diagnostic decision-making. In May 2021, I started my current post-doc with Prof Blanca Rodriguez on investigating the mechanisms that explain disease progression in post-myocardial infarction using cardiac digital twins.
Selected Publications
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A completely automated pipeline for 3D reconstruction of human heart from 2D cine magnetic resonance slices
Abhirup Banerjee‚ Julià Camps‚ Ernesto Zacur‚ Christopher M. Andrews‚ Yoram Rudy‚ Robin P. Choudhury‚ Blanca Rodriguez and Vicente Grau
In Philosophical Transactions of the Royal Society A: Mathematical‚ Physical and Engineering Sciences. Vol. 379. No. 2212. Pages 20200257. December, 2021.
Publisher: Royal Society
Details about A completely automated pipeline for 3D reconstruction of human heart from 2D cine magnetic resonance slices | BibTeX data for A completely automated pipeline for 3D reconstruction of human heart from 2D cine magnetic resonance slices | DOI (10.1098/rsta.2020.0257) | Link to A completely automated pipeline for 3D reconstruction of human heart from 2D cine magnetic resonance slices
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Inference of ventricular activation properties from non−invasive electrocardiography
Julia Camps‚ Brodie Lawson‚ Christopher Drovandi‚ Ana Minchole‚ Zhinuo Jenny Wang‚ Vicente Grau‚ Kevin Burrage and Blanca Rodriguez
In Medical Image Analysis. Vol. 73. Pages 102143. October, 2021.
Details about Inference of ventricular activation properties from non−invasive electrocardiography | BibTeX data for Inference of ventricular activation properties from non−invasive electrocardiography | DOI (10.1016/j.media.2021.102143) | Link to Inference of ventricular activation properties from non−invasive electrocardiography
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Deep Learning Based QRS Multilead Delineator in Electrocardiogram Signals
Julià Camps‚ Blanca Rodríguez and Ana Mincholé
In 2018 Computing in Cardiology Conference (CinC). Vol. 45. Pages 1–4. September, 2018.
ISSN: 2325−887X
Details about Deep Learning Based QRS Multilead Delineator in Electrocardiogram Signals | BibTeX data for Deep Learning Based QRS Multilead Delineator in Electrocardiogram Signals | DOI (10.22489/CinC.2018.292)