Mark Emberton

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 36

Top Topics

Image Registration

Top Venues

Medical Image Anal.

Publications

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
Semi-weakly-supervised neural network training for medical image registration. CoRR (2024)
Martynas Pocius, Wen Yan, Dean C. Barratt, Mark Emberton, Matthew J. Clarkson, Yipeng Hu, Shaheer U. Saeed
Weakly supervised localisation of prostate cancer using reinforcement learning for bi-parametric MR images. CoRR (2024)
Wen Yan, Bernard Chiu, Ziyi Shen, Qianye Yang, Tom Syer, Zhe Min, Shonit Punwani, Mark Emberton, David Atkinson, Dean C. Barratt, Yipeng Hu
Combiner and HyperCombiner networks: Rules to combine multimodality MR images for prostate cancer localisation. Medical Image Anal. 91 (2024)
Zhe Min, Zachary M. C. Baum, Shaheer U. Saeed, Mark Emberton, Dean C. Barratt, Zeike A. Taylor, Yipeng Hu
Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity. CoRR (2024)
Zhe Min, Zachary M. C. Baum, Shaheer U. Saeed, Mark Emberton, Dean C. Barratt, Zeike A. Taylor, Yipeng Hu
Non-rigid Medical Image Registration using Physics-informed Neural Networks. CoRR (2023)
Zhe Min, Zachary M. C. Baum, Shaheer U. Saeed, Mark Emberton, Dean C. Barratt, Zeike A. Taylor, Yipeng Hu
Non-rigid Medical Image Registration using Physics-informed Neural Networks. IPMI (2023)
Shaheer U. Saeed, Tom Syer, Wen Yan, Qianye Yang, Mark Emberton, Shonit Punwani, Matthew John Clarkson, Dean C. Barratt, Yipeng Hu
Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion. MIDL (2023)
Wen Yan, Bernard Chiu, Ziyi Shen, Qianye Yang, Tom Syer, Zhe Min, Shonit Punwani, Mark Emberton, David Atkinson, Dean C. Barratt, Yipeng Hu
Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation. CoRR (2023)
Yaozhi Lu, Shahab Aslani, An Zhao, Ahmed H. Shahin, David Barber, Mark Emberton, Daniel C. Alexander, Joseph Jacob
A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study. CoRR (2023)
Shaheer U. Saeed, Tom Syer, Wen Yan, Qianye Yang, Mark Emberton, Shonit Punwani, Matthew J. Clarkson, Dean C. Barratt, Yipeng Hu
Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion. CoRR (2023)
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
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration. Medical Image Anal. 90 (2023)
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 J. Huisman, Dean C. Barratt, Victor Adrian Prisacariu, Yipeng Hu
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration. CoRR (2022)
Wen Yan, Qianye Yang, Tom Syer, Zhe Min, Shonit Punwani, Mark Emberton, Dean C. Barratt, Bernard Chiu, Yipeng Hu
The impact of using voxel-level segmentation metrics on evaluating multifocal prostate cancer localisation. CoRR (2022)
Wen Yan, Qianye Yang, Tom Syer, Zhe Min, Shonit Punwani, Mark Emberton, Dean C. Barratt, Bernard Chiu, Yipeng Hu
The Impact of Using Voxel-Level Segmentation Metrics on Evaluating Multifocal Prostate Cancer Localisation. AMAI@MICCAI (2022)
Yaozhi Lu, Shahab Aslani, Mark Emberton, Daniel C. Alexander, Joseph Jacob
Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial. IEEE Access 10 (2022)
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
Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation. CoRR (2022)
Aida Santaolalla, Tim Hulsen, Jenson Davis, Hashim U. Ahmed, Caroline M. Moore, Shonit Punwani, Gert Attard, Neil McCartan, Mark Emberton, Anthony Coolen, Mieke Van Hemelrijck
The ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer. Frontiers Artif. Intell. 4 (2021)
Pritesh Mehta, Michela Antonelli, Hashim Uddin Ahmed, Mark Emberton, Shonit Punwani, Sébastien Ourselin
Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework. Medical Image Anal. 73 (2021)
Shaheer U. Saeed, Zeike A. Taylor, Mark A. Pinnock, Mark Emberton, Dean C. Barratt, Yipeng Hu
Prostate Motion Modelling Using Biomechanically-Trained Deep Neural Networks on Unstructured Nodes. MICCAI (4) (2020)
Shaheer U. Saeed, Zeike A. Taylor, Mark A. Pinnock, Mark Emberton, Dean C. Barratt, Yipeng Hu
Prostate motion modelling using biomechanically-trained deep neural networks on unstructured nodes. CoRR (2020)
Pritesh Mehta, Michela Antonelli, Hashim Uddin Ahmed, Mark Emberton, Shonit Punwani, Sébastien Ourselin
Decision fusion of 3D convolutional neural networks to triage patients with suspected prostate cancer using volumetric biparametric MRI. Medical Imaging: Computer-Aided Diagnosis (2020)
Yipeng Hu, Eli Gibson, Dean C. Barratt, Mark Emberton, J. Alison Noble, Tom Vercauteren
Conditional Segmentation in Lieu of Image Registration. MICCAI (2) (2019)
Nooshin Ghavami, Yipeng Hu, Eli Gibson, Ester Bonmati, Mark Emberton, Caroline M. Moore, Dean C. Barratt
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. Medical Image Anal. 58 (2019)
Yipeng Hu, Eli Gibson, Dean C. Barratt, Mark Emberton, J. Alison Noble, Tom Vercauteren
Conditional Segmentation in Lieu of Image Registration. CoRR (2019)
Yipeng Hu, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, Tom Vercauteren, J. Alison Noble, Dean C. Barratt
Adversarial Deformation Regularization for Training Image Registration Neural Networks. CoRR (2018)
Yipeng Hu, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, Tom Vercauteren, J. Alison Noble, Dean C. Barratt
Adversarial Deformation Regularization for Training Image Registration Neural Networks. MICCAI (1) (2018)
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
Weakly-supervised convolutional neural networks for multimodal image registration. Medical Image Anal. 49 (2018)
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
Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration. CoRR (2018)
Yipeng Hu, Marc Modat, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, J. Alison Noble, Dean C. Barratt, Tom Vercauteren
Label-driven weakly-supervised learning for multimodal deformarle image registration. ISBI (2018)
Eli Gibson, Yipeng Hu, Nooshin Ghavami, Hashim Uddin Ahmed, Caroline M. Moore, Mark Emberton, Henkjan J. Huisman, Dean C. Barratt
Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning. MICCAI (4) (2018)
Nikolaos Dikaios, David Atkinson, Chiara Tudisca, Pierpaolo Purpura, Martin Forster, Hashim Uddin Ahmed, Timothy Beale, Mark Emberton, Shonit Punwani
A comparison of Bayesian and non-linear regression methods for robust estimation of pharmacokinetics in DCE-MRI and how it affects cancer diagnosis. Comput. Medical Imaging Graph. 56 (2017)
Yipeng Hu, Eli Gibson, Tom Vercauteren, Hashim Uddin Ahmed, Mark Emberton, Caroline M. Moore, J. Alison Noble, Dean C. Barratt
Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks. CoRR (2017)
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
Development and Phantom Validation of a 3-D-Ultrasound-Guided System for Targeting MRI-Visible Lesions During Transrectal Prostate Biopsy. IEEE Trans. Biomed. Eng. 64 (4) (2017)
Yipeng Hu, Eli Gibson, Tom Vercauteren, Hashim Uddin Ahmed, Mark Emberton, Caroline M. Moore, J. Alison Noble, Dean C. Barratt
Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks. MICCAI (2) (2017)
Yipeng Hu, Marc Modat, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, J. Alison Noble, Dean C. Barratt, Tom Vercauteren
Label-driven weakly-supervised learning for multimodal deformable image registration. CoRR (2017)
Sébastien Ourselin, Mark Emberton, Tom Vercauteren
From computer-assisted intervention research to clinical impact: The need for a holistic approach. Medical Image Anal. 33 (2016)
Yipeng Hu, Eli Gibson, Hashim Uddin Ahmed, Caroline M. Moore, Mark Emberton, Dean C. Barratt
Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration. Medical Image Anal. 26 (1) (2015)
Yipeng Hu, Hashim Uddin Ahmed, Zeike A. Taylor, Clare Allen, Mark Emberton, David J. Hawkes, Dean C. Barratt
MR to ultrasound registration for image-guided prostate interventions. Medical Image Anal. 16 (3) (2012)
Yipeng Hu, Timothy J. Carter, Hashim Uddin Ahmed, Mark Emberton, Clare Allen, David J. Hawkes, Dean C. Barratt
Modelling Prostate Motion for Data Fusion During Image-Guided Interventions. IEEE Trans. Medical Imaging 30 (11) (2011)
Yipeng Hu, Hashim Uddin Ahmed, Clare Allen, Doug Pendsé, Mahua Sahu, Mark Emberton, David J. Hawkes, Dean C. Barratt
MR to Ultrasound Image Registration for Guiding Prostate Biopsy and Interventions. MICCAI (1) (2009)
Yipeng Hu, Dominic Morgan, Hashim Uddin Ahmed, Doug Pendsé, Mahua Sahu, Clare Allen, Mark Emberton, David J. Hawkes, Dean C. Barratt
A Statistical Motion Model Based on Biomechanical Simulations for Data Fusion during Image-Guided Prostate Interventions. MICCAI (1) (2008)
Yipeng Hu, Dominic Morgan, Hashim Uddin Ahmed, Doug Pendsé, Mahua Sahu, Clare Allen, Mark Emberton, David J. Hawkes, Dean C. Barratt
Modelling Prostate Gland Motion for Image-Guided Interventions. ISBMS (2008)