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 (ISBMS, 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 (MICCAI (1), 2008)

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 (MICCAI (1), 2009)

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)

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)

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)

From computer-assisted intervention research to clinical impact: The need for a holistic approach. - Sébastien Ourselin; Mark Emberton; Tom Vercauteren (Medical Image Anal., 2016)

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 (MICCAI (2), 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)

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)

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 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 (ISBI, 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 (MICCAI (4), 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 (MICCAI (1), 2018)

Weakly-supervised convolutional neural networks for multimodal image registration. - Yipeng Hu; Marc Modat; Eli Gibson; Wenqi Li 001; Nooshin Ghavami; Ester Bonmati; Guotai Wang; Steven Bandula; Caroline M. Moore; Mark Emberton; Sébastien Ourselin; J. Alison Noble; et al. (Medical Image Anal., 2018)

Conditional Segmentation in Lieu of Image Registration. - Yipeng Hu; Eli Gibson; Dean C. Barratt; Mark Emberton; J. Alison Noble; Tom Vercauteren (MICCAI (2), 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)

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 (Computer-Aided Diagnosis, 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 (MICCAI (4), 2020)

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)

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 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 (AMAI@MICCAI, 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)

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)

Cross-institution Male Pelvic Structures. - 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; et al. (Zenodo, 2022)

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 (IPMI, 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 (MIDL, 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)

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; et al. (Medical Image Anal., 2023)

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 (ISBI, 2024)

Biomechanics-Informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity. - Zhe Min; Zachary M. C. Baum; Shaheer U. Saeed; Mark Emberton; Dean C. Barratt; Zeike A. Taylor; Yipeng Hu (MICCAI (2), 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; et al. (CoRR, 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., 2024)

Tell2Reg: Establishing Spatial Correspondence between Images by the Same Language Prompts. - Wen Yan; Qianye Yang; Shiqi Huang; Yipei Wang; Shonit Punwani; Mark Emberton; Vasilis Stavrinides; Yipeng Hu; Dean C. Barratt (ISBI, 2025)