Oleg V. Aslanidi

London, ENG, United Kingdom

Last Updated: 09/26/2026

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Found 35 publications

Digital Twins for Predictive Modelling of Thrombosis and Stroke Risk: Current Approaches and Future Directions.

Digital Twins for Predictive Modelling of Thrombosis and Stroke Risk: Current Approaches and Future Directions.

Journal: Thrombosis and haemostasis
Published: February 09, 2026

Left Atrial Spontaneous Echo Contrast: Pathogenesis, Detection, and Modelling.

Left Atrial Spontaneous Echo Contrast: Pathogenesis, Detection, and Modelling.

Journal: Thrombosis and haemostasis
Published: September 02, 2025

Sensitivity analysis of factors in a microfluidics CFD model of coagulation and cardiac applications.

Sensitivity analysis of factors in a microfluidics CFD model of coagulation and cardiac applications.

Journal: Biomechanics and modeling in mechanobiology
Published: June 10, 2025

Enhancing stroke risk stratification in atrial fibrillation through non-Newtonian blood modelling and Gaussian process emulation.

Enhancing stroke risk stratification in atrial fibrillation through non-Newtonian blood modelling and Gaussian process emulation.

Journal: The Journal of physiology
Published: July 15, 2024

MRI-based modelling of left atrial flow and coagulation to predict risk of thrombogenesis in atrial fibrillation.

MRI-based modelling of left atrial flow and coagulation to predict risk of thrombogenesis in atrial fibrillation.

Journal: Medical image analysis
Published: February 06, 2024

Interactions between calcium-induced arrhythmia triggers and the electrophysiological-anatomical substrate underlying the induction of atrial fibrillation.

Interactions between calcium-induced arrhythmia triggers and the electrophysiological-anatomical substrate underlying the induction of atrial fibrillation.

Journal: The Journal of physiology
Published: September 28, 2023

Patchy fibrosis promotes trigger-substrate interactions that both generate and maintain atrial fibrillation.

Patchy fibrosis promotes trigger-substrate interactions that both generate and maintain atrial fibrillation.

Journal: Interface focus
Published: August 22, 2023

Imaging and biophysical modelling of thrombogenic mechanisms in atrial fibrillation and stroke.

Imaging and biophysical modelling of thrombogenic mechanisms in atrial fibrillation and stroke.

Journal: Frontiers in cardiovascular medicine
Published: October 19, 2022

Exploring interpretability in deep learning prediction of successful ablation therapy for atrial fibrillation.

Exploring interpretability in deep learning prediction of successful ablation therapy for atrial fibrillation.

Journal: Frontiers in physiology
Published: September 26, 2022

Corrigendum: Reinforcement Learning to Improve Image-Guidance of Ablation Therapy for Atrial Fibrillation.

Corrigendum: Reinforcement Learning to Improve Image-Guidance of Ablation Therapy for Atrial Fibrillation.

Journal: Frontiers in physiology
Published: October 21, 2021

Reinforcement Learning to Improve Image-Guidance of Ablation Therapy for Atrial Fibrillation.

Reinforcement Learning to Improve Image-Guidance of Ablation Therapy for Atrial Fibrillation.

Journal: Frontiers in physiology
Published: June 29, 2021

Toward Patient-Specific Prediction of Ablation Strategies for Atrial Fibrillation Using Deep Learning.

Toward Patient-Specific Prediction of Ablation Strategies for Atrial Fibrillation Using Deep Learning.

Journal: Frontiers in physiology
Published: February 28, 2021
Showing 1-12 of 35

Last Updated: 09/26/2026