Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Biomedical Engineering, Master of Engineering, Application of Deep Learning to Predict Optimal Ablation Therapy for Atrial Fibrillation, King's College London
25 Sept 2017 → 4 Jun 2021
Award Date: 4 Jun 2021
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Design and Development of a Novel Force-Sensing Robotic System for the Transseptal Puncture in Left Atrial Catheter Ablation
Zeidan, A. M., Xu, Z., Mower, C. E., Wu, H., Walker, Q., Ayoade, O., Cotic, N., Behar, J., Williams, S., Arujuna, A., Noh, Y., Housden, R. & Rhode, K., 4 Jul 2023, 2023 IEEE International Conference on Robotics and Automation (ICRA). Institute of Electrical and Electronics Engineers Inc., p. 6851-6858 8 p. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2023-May).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile -
Exploring interpretability in deep learning prediction of successful ablation therapy for atrial fibrillation
Ogbomo-Harmitt, S., Muffoletto, M., Zeidan, A., Qureshi, A., King, A. & Aslanidi, O., 14 Mar 2023, In: Frontiers in Physiology. 14, 1054401, 1054401.Research output: Contribution to journal › Article › peer-review
Open AccessFile24 Downloads (Pure) -
Can artificial intelligence prediction of successful atrial fibrillation catheter ablation therapy be interpretable?
Ogbomo-Harmitt, S., Muffoletto, M., Zeidan, A., Qureshi, A., King, A. & Aslanidi, O., 2022, European Heart Journal. Vol. 43.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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APPLAUSE: Automatic Prediction of PLAcental health via U-net Segmentation and statistical Evaluation
Pietsch, M., Ho, A., Zeidan, A., Chappell, L., Hajnal, J., Rutherford, M. & Hutter, J., Aug 2021, In: Medical Image Analysis. 72, 102145.Research output: Contribution to journal › Article › peer-review
Open Access16 Citations (Scopus) -
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
Open AccessFile4 Citations (Scopus)51 Downloads (Pure)