Mark Emberton

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Conditional Segmentation in Lieu of Image Registration pdf

Dean C. Barratt, Yipeng Hu, Eli Gibson, 2019, MICCAI.

MR to ultrasound registration for image-guided prostate interventions

Zeike A. Taylor, David J. Hawkes, Dean C. Barratt, 2012, Medical Image Anal..

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

David J. Hawkes, Dean C. Barratt, Yipeng Hu, 2008, MICCAI.

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

David Atkinson, Shonit Punwani, Nikolaos Dikaios, 2017, Comput. Medical Imaging Graph..

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

Sébastien Ourselin, Tom Vercauteren, Mark Emberton, 2016, Medical Image Anal..

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

Dean C. Barratt, J. Alison Noble, Yipeng Hu, 2017, MICCAI.

Handbook of Nanophysics

Hashim U. Ahmed, Mark Emberton, Lyndon Gommersall, 2010 .

MR to Ultrasound Image Registration for Guiding Prostate Biopsy and Interventions

David J. Hawkes, Dean C. Barratt, Yipeng Hu, 2009, MICCAI.

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

Marc Modat, Dean C. Barratt, J. Alison Noble, 2017, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Modelling Prostate Motion for Data Fusion During Image-Guided Interventions

David J. Hawkes, Dean C. Barratt, Yipeng Hu, 2011, IEEE Transactions on Medical Imaging.

Prostate motion modelling using biomechanically-trained deep neural networks on unstructured nodes pdf

Zeike A. Taylor, Dean C. Barratt, Yipeng Hu, 2020, MICCAI.

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

David J. Hawkes, Dean C. Barratt, Yipeng Hu, 2017, IEEE Transactions on Biomedical Engineering.

Adversarial Deformation Regularization for Training Image Registration Neural Networks

Dean C. Barratt, J. Alison Noble, Nooshin Ghavami, 2018, MICCAI.

Karim O, Rao A, Emberton M, Cochrane D, Partridge M, Edwards P, Walker I, Davidson I.

Mark Emberton, Matthew Colin Partridge, O Karim, 2007 .

The Good Will Scenario

Mark Emberton, H. U. Ahmed, 2017 .

Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning

Dean C. Barratt, Henkjan J. Huisman, Nooshin Ghavami, 2018, MICCAI.

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

Dean C. Barratt, Yipeng Hu, Eli Gibson, 2015, Medical Image Anal..

Is there a skew loose in your clinical database

Mark Emberton, Sally Anne Pearson, Michael P.W. Grocott, 2001 .

New Technologies in Urology

Mark Emberton, Hashim U. Ahmed, Manit Arya, 2010 .

Modelling Prostate Gland Motion for Image-Guided Interventions

David J. Hawkes, Dean C. Barratt, Yipeng Hu, 2008, ISBMS.

The Role of MRI in Active Surveillance

Mark Emberton, Clare Allen, Caroline M. Moore, 2012 .

Derivation and comparison of site specific peripheral and transition zone quantitative DCE MRI logistic regression models for prostate cancer detection: does cancer location matter?

David Atkinson, Shonit Punwani, Nikolaos Dikaios, 2013 .

A comparison of the accuracy of statistical models of prostate motion trained using data from biomechanical simulations.

Yipeng Hu, Dean Barratt, Rieneke van den Boom, 2010, Progress in biophysics and molecular biology.

Weakly-supervised convolutional neural networks for multimodal image registration

Sébastien Ourselin, Marc Modat, Dean C. Barratt, 2018, Medical Image Anal..