Mark Emberton

According to our database, Mark Emberton authored at least 31 papers between 2008 and 2024.

Collaborative distances:

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

2024

Combiner and HyperCombiner networks: Rules to combine multimodality MR images for prostate cancer localisation.

Wen Yan, Bernard Chiu, Ziyi Shen, Qianye Yang, Tom Syer, Zhe Min, Shonit Punwani, Mark Emberton, David Atkinson, Dean C. Barratt, Yipeng Hu

Medical Image Anal., January, 2024

Weakly supervised localisation of prostate cancer using reinforcement learning for bi-parametric MR images.

Martynas Pocius, Wen Yan, Dean C. Barratt, Mark Emberton, Matthew J. Clarkson, Yipeng Hu, Shaheer U. Saeed

CoRR, 2024

Semi-weakly-supervised neural network training for medical image registration.

Yiwen Li, Yunguan Fu, Iani J. M. B. Gayo, Qianye Yang, Zhe Min, Shaheer U. Saeed, Wen Yan, Yipei Wang, J. Alison Noble, Mark Emberton, Matthew J. Clarkson, Dean C. Barratt, Victor A. Prisacariu, Yipeng Hu

CoRR, 2024

2023

Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration.

Yiwen Li, Yunguan Fu, Iani J. M. B. Gayo, Qianye Yang, Zhe Min, Shaheer U. Saeed, Wen Yan, Yipei Wang, J. Alison Noble, Mark Emberton, Matthew J. Clarkson, Henkjan Huisman, Dean C. Barratt, Victor Adrian Prisacariu, Yipeng Hu

Medical Image Anal., December, 2023

A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study.

Yaozhi Lu, Shahab Aslani, An Zhao, Ahmed H. Shahin, David Barber, Mark Emberton, Daniel C. Alexander, Joseph Jacob

CoRR, 2023

Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion.

Shaheer U. Saeed, Tom Syer, Wen Yan, Qianye Yang, Mark Emberton, Shonit Punwani, Matthew John Clarkson, Dean C. Barratt, Yipeng Hu

Proceedings of the Medical Imaging with Deep Learning, 2023

Non-rigid Medical Image Registration using Physics-informed Neural Networks.

Zhe Min, Zachary M. C. Baum, Shaheer U. Saeed, Mark Emberton, Dean C. Barratt, Zeike A. Taylor, Yipeng Hu

Proceedings of the Information Processing in Medical Imaging, 2023

2022

Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation.

Shaheer U. Saeed, Wen Yan, Yunguan Fu, Francesco Giganti, Qianye Yang, Zachary M. C. Baum, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, Mark Emberton, Dean C. Barratt, Yipeng Hu

CoRR, 2022

Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial.

Yaozhi Lu, Shahab Aslani, Mark Emberton, Daniel C. Alexander, Joseph Jacob

IEEE Access, 2022

The Impact of Using Voxel-Level Segmentation Metrics on Evaluating Multifocal Prostate Cancer Localisation.

Wen Yan, Qianye Yang, Tom Syer, Zhe Min, Shonit Punwani, Mark Emberton, Dean C. Barratt, Bernard Chiu, Yipeng Hu

Proceedings of the Applications of Medical Artificial Intelligence, 2022

2021

Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework.

Pritesh Mehta, Michela Antonelli, Hashim Uddin Ahmed, Mark Emberton, Shonit Punwani, Sébastien Ourselin

Medical Image Anal., 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

2020

Prostate Motion Modelling Using Biomechanically-Trained Deep Neural Networks on Unstructured Nodes.

Shaheer U. Saeed, Zeike A. Taylor, Mark A. Pinnock, Mark Emberton, Dean C. Barratt, Yipeng Hu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Decision fusion of 3D convolutional neural networks to triage patients with suspected prostate cancer using volumetric biparametric MRI.

Pritesh Mehta, Michela Antonelli, Hashim Uddin Ahmed, Mark Emberton, Shonit Punwani, Sébastien Ourselin

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

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

Conditional Segmentation in Lieu of Image Registration.

Yipeng Hu, Eli Gibson, Dean C. Barratt, Mark Emberton, J. Alison Noble, Tom Vercauteren

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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

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

A comparison of Bayesian and non-linear regression methods for robust estimation of pharmacokinetics in DCE-MRI and how it affects cancer diagnosis.

Nikolaos Dikaios, David Atkinson, Chiara Tudisca, Pierpaolo Purpura, Martin Forster, Hashim Uddin Ahmed, Timothy Beale, Mark Emberton, Shonit Punwani

Comput. Medical Imaging Graph., 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

2016

From computer-assisted intervention research to clinical impact: The need for a holistic approach.

Sébastien Ourselin, Mark Emberton, Tom Vercauteren

Medical Image Anal., 2016

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

2012

MR to ultrasound registration for image-guided prostate interventions.

Yipeng Hu, Hashim Uddin Ahmed, Zeike A. Taylor, Clare Allen, Mark Emberton, David J. Hawkes, Dean C. Barratt

Medical Image Anal., 2012

2011

Modelling Prostate Motion for Data Fusion During Image-Guided Interventions.

Yipeng Hu, Timothy J. Carter, Hashim Uddin Ahmed, Mark Emberton, Clare Allen, David J. Hawkes, Dean C. Barratt

IEEE Trans. Medical Imaging, 2011

2009

MR to Ultrasound Image Registration for Guiding Prostate Biopsy and Interventions.

Yipeng Hu, Hashim Uddin Ahmed, Clare Allen, Doug Pendsé, Mahua Sahu, Mark Emberton, David J. Hawkes, Dean C. Barratt

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

2008

A Statistical Motion Model Based on Biomechanical Simulations for Data Fusion during Image-Guided Prostate Interventions.

Yipeng Hu, Dominic Morgan, Hashim Uddin Ahmed, Doug Pendsé, Mahua Sahu, Clare Allen, Mark Emberton, David J. Hawkes, Dean C. Barratt

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Modelling Prostate Gland Motion for Image-Guided Interventions.

Yipeng Hu, Dominic Morgan, Hashim Uddin Ahmed, Doug Pendsé, Mahua Sahu, Clare Allen, Mark Emberton, David J. Hawkes, Dean C. Barratt

Proceedings of the Biomedical Simulation, 4th International Symposium, 2008