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Author

Anthony J. Dunn

Observed names: Anthony Dunn, Dunn, Anthony J., Dunn, Anthony James
Observed institution: University of Southampton
ORCID: 0009-0006-1179-117X
Observed ORCID: 0009-0006-1179-117X
OpenAlex ID: A5000281237
Deep learning methods for screening patients' S-ICD implantation eligibility
2021 · Anthony J. Dunn, Mohamed H. ElRefai, et al. · Artificial Intelligence in Medicine · 19
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Deep learning-based insights on T:R ratio behaviour during prolonged screening for S-ICD eligibility
2022 · Mohamed ElRefai, Mohamed Abouelasaad, et al. · Journal of Interventional Cardiac Electrophysiology · 5
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Role of deep learning methods in screening for subcutaneous implantable cardioverter defibrillator in heart failure
2022 · Mohamed ElRefai, Mohamed Abouelasaad, et al. · Annals of Noninvasive Electrocardiology · 3
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Using artificial intelligence and deep learning to optimise the selection of adult congenital heart disease patients in S-ICD screening
2024 · Mohamed ElRefai, Mohamed Abouelasaad, et al. · Indian Pacing and Electrophysiology Journal · 2
Deep learning and hyperparameter optimization for assessing one’s eligibility for a subcutaneous implantable cardioverter-defibrillator
2023 · Anthony J. Dunn, Stefano Coniglio, et al. · Annals of Operations Research · 2
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Correlation analysis of deep learning methods in S‐ICD screening
2023 · Mohamed ElRefai, Mohamed Abouelasaad, et al. · Annals of Noninvasive Electrocardiology · 2
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Temporal Variability of the P:R Ratio: A Machine Learning Analysis and Its Implications for EV-ICD Oversensing Risk (Preprint)
2026 · Lin-Thiri Toon, Samuel J Ward, et al.
Po-06-205 Deep Learning Based Assessment of T:r Ratios During Prolonged Screening in S-icd Patients Experienced Inappropriate Shocks Secondary to T-wave Over-sensing
2025 · Lin-Thiri Toon, Mohamed ElRefai, et al. · Heart Rhythm
Primer C-VAE: An interpretable deep learning primer design method to detect emerging virus variants
2025 · Wang, Hanyu, Tsinda, Emmanuel K., et al. · ePrints Soton (University of Southampton)
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Deep learning forward and reverse primer design to detect SARS-CoV-2 emerging variants
2022 · Wang, Hanyu, Tsinda, Emmanuel K., et al. · arXiv (Cornell University)
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UK Centre for Efficient and Renewable Energy in Buildings (CEREB)- Lessons Learned After 5 Years of Running
2016 · M Yebiyo, Issa Chaer, et al. · Research Open (London South Bank University)
The application of deep learning methods in S-ICD screening—a promising approach?
2012 · Elrefai, Mohamed Hassan, Abouelasaad, Mohamed, et al. · ePrints Soton (University of Southampton)
Works count: 13
Citation count: 36
H-index: 3
I10-index: 1
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