Caroline M. Moore

According to our database, Caroline M. Moore authored at least 15 papers between 2015 and 2023.

Collaborative distances:

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

2023

ssVERDICT: Self-Supervised VERDICT-MRI for Enhanced Prostate Tumour Characterisation.

Snigdha Sen, Saurabh Singh, Hayley Pye, Caroline M. Moore, Hayley C. Whitaker, Shonit Punwani, David Atkinson, Eleftheria Panagiotaki, Paddy J. Slator

CoRR, 2023

2022

Knowledge and insights from a maturing international clinical quality registry.

Fanny Sampurno, Christoph Kowalski, Sarah E. Connor, Anissa V. Nguyen, Àngels Pont Acuña, Chi-Fai Ng, Claire Foster, Günter Feick, Olatz Garin Boronat, Sebastian Dieng, Silvana Brglevska, Stephanie Ferrante, Steven Leung, Paul Villanti, Caroline M. Moore, Ian D. Graham, Jeremy Millar, Mark S. Litwin, Nathan Papa

J. Am. Medical Informatics Assoc., 2022

Collaborative Quantization Embeddings for Intra-subject Prostate MR Image Registration.

Ziyi Shen, Qianye Yang, Yuming Shen, Francesco Giganti, Vasilis Stavrinides, Richard E. Fan, Caroline M. Moore, Mirabela Rusu, Geoffrey A. Sonn, Philip H. S. Torr, Dean C. Barratt, Yipeng Hu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

The ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer.

Aida Santaolalla, Tim Hulsen, Jenson Davis, Hashim Uddin Ahmed, Caroline M. Moore, Shonit Punwani, Gert Attard, Neil McCartan, Mark Emberton, Anthony Coolen, Mieke Van Hemelrijck

Frontiers Artif. Intell., 2021

Morphological Change Forecasting For Prostate Glands Using Feature-Based Registration And Kernel Density Extrapolation.

Qianye Yang, Tom Vercauteren, Yunguan Fu, Francesco Giganti, Nooshin Ghavami, Vasilis Stavrinides, Caroline M. Moore, Matthew J. Clarkson, Dean C. Barratt, Yipeng Hu

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2019

Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration.

Nooshin Ghavami, Yipeng Hu, Eli Gibson, Ester Bonmati, Mark Emberton, Caroline M. Moore, Dean C. Barratt

Medical Image Anal., 2019

2018

Weakly-supervised convolutional neural networks for multimodal image registration.

Yipeng Hu, Marc Modat, Eli Gibson, Wenqi Li, Nooshin Ghavami, Ester Bonmati, Guotai Wang, Steven Bandula, Caroline M. Moore, Mark Emberton, Sébastien Ourselin, J. Alison Noble, Dean C. Barratt, Tom Vercauteren

Medical Image Anal., 2018

Automatic slice segmentation of intraoperative transrectal ultrasound images using convolutional neural networks.

Nooshin Ghavami, Yipeng Hu, Ester Bonmati, Rachael Rodell, Eli Gibson, Caroline M. Moore, Dean C. Barratt

Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

Adversarial Deformation Regularization for Training Image Registration Neural Networks.

Yipeng Hu, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, Tom Vercauteren, J. Alison Noble, Dean C. Barratt

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning.

Eli Gibson, Yipeng Hu, Nooshin Ghavami, Hashim Uddin Ahmed, Caroline M. Moore, Mark Emberton, Henkjan J. Huisman, Dean C. Barratt

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Label-driven weakly-supervised learning for multimodal deformarle image registration.

Yipeng Hu, Marc Modat, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, J. Alison Noble, Dean C. Barratt, Tom Vercauteren

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Development and Phantom Validation of a 3-D-Ultrasound-Guided System for Targeting MRI-Visible Lesions During Transrectal Prostate Biopsy.

Yipeng Hu, Veeru Kasivisvanathan, Lucy A. M. Simmons, Matthew J. Clarkson, Stephen A. Thompson, Taimur T. Shah, Hashim Uddin Ahmed, Shonit Punwani, David J. Hawkes, Mark Emberton, Caroline M. Moore, Dean C. Barratt

IEEE Trans. Biomed. Eng., 2017

Label-driven weakly-supervised learning for multimodal deformable image registration.

Yipeng Hu, Marc Modat, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, J. Alison Noble, Dean C. Barratt, Tom Vercauteren

CoRR, 2017

Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks.

Yipeng Hu, Eli Gibson, Tom Vercauteren, Hashim Uddin Ahmed, Mark Emberton, Caroline M. Moore, J. Alison Noble, Dean C. Barratt

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2015

Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration.

Yipeng Hu, Eli Gibson, Hashim Uddin Ahmed, Caroline M. Moore, Mark Emberton, Dean C. Barratt

Medical Image Anal., 2015