Charlotte Manisty

According to our database, Charlotte Manisty authored at least 7 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CineMA: A Foundation Model for Cine Cardiac MRI.

Yunguan Fu, Weixi Yi, Charlotte Manisty, Anish N. Bhuva, Thomas A. Treibel, James C. Moon, Matthew J. Clarkson, Rhodri H. Davies, Yipeng Hu

CoRR, June, 2025

SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation.

Hui Xue, Sarah M. Hooper, Iain Pierce, Rhodri H. Davies, John Stairs, Joseph Naegele, Adrienne E. Campbell-Washburn, Charlotte Manisty, James C. Moon, Thomas A. Treibel, Peter Kellman, Michael S. Hansen

CoRR, March, 2025

Consensus-guided evaluation of self-supervised learning in echocardiographic segmentation.

Preshen Naidoo, Patricia Fernandes, Nasim Dadashi Serej, Charlotte H. Manisty, Matthew J. Shun-Shin, Darrel P. Francis, Massoud Zolgharni

Comput. Biol. Medicine, 2025

Spatiotemporal Contrastive Learning for Echocardiography View Classification.

Preshen Naidoo, Patricia Fernandes, Isreal Ufumaka, Nasim Dadashi Serej, James P. Howard, Darrel P. Francis, Charlotte Manisty, Massoud Zolgharni

Proceedings of the Artificial Intelligence in Healthcare - Second International Conference, 2025

Robustness of Human vs. AI Measurements Under Progressive Image Degradation.

Jevgeni Jevsikov, Catherine C. Stowell, Tiffany Ng, Beth Unsworth, Massoud Zolgharni, Darrel P. Francis, Charlotte H. Manisty, Matthew J. Shun-Shin

Proceedings of the Artificial Intelligence in Healthcare - Second International Conference, 2025

Deep Learning for Assessing Rotational Misalignment in Echocardiographic Imaging.

Patricia Fernandes, Preshen Naidoo, Isreal Ufumaka, Sara Adibzadeh, Eman Alajrami, Jevgeni Jevsikov, Nasim Dadashi Serej, James P. Howard, Matthew J. Shun-Shin, Charlotte Manisty, Darrel P. Francis, Massoud Zolgharni

Proceedings of the Artificial Intelligence in Healthcare - Second International Conference, 2025

2019

Improving the generalizability of convolutional neural network-based segmentation on CMR images.

Chen Chen, Wenjia Bai, Rhodri H. Davies, Anish N. Bhuva, Charlotte Manisty, James C. Moon, Nay Aung, Aaron M. Lee, Mihir M. Sanghvi, Kenneth Fung, José Miguel Paiva, Steffen E. Petersen, Elena Lukaschuk, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert

CoRR, 2019