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):
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Dive into the research topics where Caroline Roney is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Three-dimensional Left Atrial Motion Estimation from Retrospective Gated Computed Tomography: Application to Heart Failure Patients with Atrial Fibrillation
Sillett, C., Razeghi, O., Lee, A., Solis Lemus, J. A., Roney, C., Mannina, C., De Vere, F., Ananthan, K., Ennis, D. B., Haberland, U., Xu, H., Young, A., Rinaldi, C. A., Rajani, R. & Niederer, S., 8 Mar 2024, (Accepted/In press) In: Frontiers in Cardiovascular Medicine.Research output: Contribution to journal › Article › peer-review
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Quantifying the impact of shape uncertainty on predicted arrhythmias
Corrado, C., Roney, C., Razeghi, O., Solis Lemus, J. A., Coveney, S., Sim, I., Williams, S., O'Neill, M., Wilkinson, R. D., Clayton, R. H. & Niederer, S., Feb 2023, In: Computers in Biology and Medicine. 153, 106528.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Citations (Scopus)133 Downloads (Pure) -
Calibrating cardiac electrophysiology models using latent Gaussian processes on atrial manifolds
Coveney, S., Roney, C. H., Corrado, C., Wilkinson, R. D., Oakley, J. E., Niederer, S. A. & Clayton, R. H., 4 Oct 2022, (E-pub ahead of print) In: Scientific Reports. 12, 1, p. 16572Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
Detection of focal source and arrhythmogenic substrate from body surface potentials to guide atrial fibrillation ablation
Feng, Y., Roney, C. H., Bayer, J. D., Niederer, S. A., Hocini, M. & Vigmond, E. J., Mar 2022, In: PLoS Computational Biology. 18, 3, e1009893.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus) -
Predicting atrial fibrillation recurrence by combining population data and virtual cohorts of patient-specific left atrial models
Roney, C. H., Sim, I., Yu, J., Beach, M., Mehta, A., Solis-Lemus, J. A., Kotadia, I., Whitaker, J., Corrado, C., Razeghi, O., Vigmond, E., Narayan, S. M., O'Neill, M., Williams, S. E. & Niederer, S. A., 28 Jan 2022, (E-pub ahead of print) In: Circulation. Arrhythmia and electrophysiology.Research output: Contribution to journal › Article › peer-review
Open AccessFile215 Downloads (Pure)
Projects
- 1 Finished
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Predicting Atrial Fibrillation Mechanisms Through Deep Learning
Roney, C. (Primary Investigator)
1/10/2018 → 30/06/2022
Project: Research
Datasets
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Constructing a Human Atrial Fibre Atlas
Roney, C., Bendikas, R., Pashakhanloo, F., Corrado, C., Vigmond, E., McVeigh, E., Trayanova, N. & Niederer, S., King's College London, 27 Apr 2020
DOI: 10.18742/rdm01-596, https://kcl.figshare.com/articles/dataset/Constructing_a_Human_Atrial_Fibre_Atlas/16473906
Dataset