M. Muffoletto

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

P. Bates, O. Aslanidi, Jichao Zhao, 2021 .

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

O. Aslanidi, A. Zeidan, A. Qureshi, 2023, Frontiers in Physiology.

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

P. Bates, O. Aslanidi, Jichao Zhao, 2021, Frontiers in Physiology.

Brain PET-MR attenuation correction with deep learning: method validation in adult and clinical paediatric data

S. N. Yaakub, A. Hammers, Suryava Bhattacharya, 2022, 2212.01294.

Development of a Deep Learning Method to Predict Optimal Ablation Patterns for Atrial Fibrillation

Paul A. Bates, Marta Varela, Oleg V. Aslanidi, 2019, 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

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

O. Aslanidi, A. Zeidan, Aditi Roy, 2021, Frontiers in Physiology.

Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D echo views

P. Lamata, Alberto Gómez, A. Beqiri, 2022, ASMUS@MICCAI.