Sofia Monaci — King's College London

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3 Article

Non-invasive Localisation of Post-Infarct Ventricular Tachycardia Exit sites to Guide Ablation Planning: A Computational-Deep Learning Platform Utilising the 12-lead Electrocardiogram and Intracardiac Electrograms from Implanted Devices
Monaci, S., Bishop, M., Qian, S., Puyol Anton, E., Elliott, M., Mukherjee, R., Gillette, K., Whitaker, J., Rajani, R., O'Neill, M., Rinaldi, C. A., King, A. & Plank, G., 8 Sept 2022, (Accepted/In press) In: EP Europace.
Research output: Contribution to journal › Article › peer-review

Open Access
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1 Citation (Scopus)

26 Downloads (Pure)
Automated Localisation of Focal Ventricular Tachycardia from Simulated Implanted Device Electrograms: A Combined Physics-AI Approach
Monaci, S., Gillette, K., Puyol Anton, E., Rajani, R., Plank, G., King, A. & Bishop, M., 31 May 2021, (Accepted/In press) In: Frontiers in Physiology.
Research output: Contribution to journal › Article › peer-review

Open Access
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113 Downloads (Pure)
In-Silico Pace-Mapping using a Detailed Whole Torso Model and Implanted Electronic Device Electrograms for More Efficient Ablation Planning
Bishop, M. & Monaci, S., 7 Sept 2020, (Accepted/In press) In: Computers in Biology and Medicine.
Research output: Contribution to journal › Article › peer-review

Automated detection of ventricular tachycardia locations using a combined physics and deep learning approach
Author: Monaci, S., 1 Jan 2023
Supervisor: Bishop, M. (Supervisor) & King, A. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy

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