Miss Aditi Roy

Former student

Project Title: Evaluating Effects of Atrial Structure on Re-entrant Drivers for Atrial Fibrillation Using Image-Based Computational Approaches

End date: 31/07/2020

Latest Research Outputs

Reinforcement Learning to Improve Image-Guidance of Ablation Therapy for Atrial Fibrillation
Muizniece, L., Bertagnoli, A., Qureshi, A., Zeidan, A., Roy, A., Muffoletto, M. & Aslanidi, O., 25 Aug 2021, In: Frontiers in Physiology. 12, 733139.
Research output: Contribution to journal › Article › peer-review
Toward Patient-Specific Prediction of Ablation Strategies for Atrial Fibrillation Using Deep Learning
Muffoletto, M., Qureshi, A., Zeidan, A., Muizniece, L., Fu, X., Zhao, J., Roy, A., Bates, P. A. & Aslanidi, O., 26 May 2021, In: Frontiers in Physiology. 12, 674106, 674106.
Research output: Contribution to journal › Article › peer-review
Identifying Locations of Re-entrant Drivers from Patient-Specific Distribution of Fibrosis in the Left Atrium
Roy, A., Varela, M., Chubb, H., MacLeod, R., Hancox, J. C., Schaeffter, T. & Aslanidi, O., 23 Sep 2020, In: PLoS Computational Biology. 16, 9, 1008086.
Research output: Contribution to journal › Article › peer-review
Investigating Strain as a Biomarker for Atrial Fibrosis Quantified by Patient Cine MRI Data
Qureshi, A., Roy, A., Chubb, H., De Vecchi, A. & Aslanidi, O., 13 Sep 2020, 2020 Computing in Cardiology, CinC 2020. IEEE Computer Society, 9344199. (Computing in Cardiology; vol. 2020-September).
Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review