Automatic Prone to Supine Haustral Fold Matching in CT Colonography Using a Markov Random Field Model. - Thomas Hampshire; Holger Roth; Mingxing Hu; Darren Boone; Greg G. Slabaugh; Shonit Punwani; Steve Halligan; David J. Hawkes (MICCAI (1), 2011)

Comparison of Least Squares and Maximum Likelihood for Apparent Diffusion Coefficient Estimation in Prostate DW-MRI. - Valentin Hamy; Simon Walker-Samuel; Shonit Punwani; David Atkinson (MIUA, 2011)

External Clinical Validation of Prone and Supine CT Colonography Registration. - Holger Roth; Darren Boone; Steve Halligan; Thomas Hampshire; Jamie McClelland; Mingxing Hu; Shonit Punwani; Stuart Taylor; David J. Hawkes (Abdominal Imaging, 2012)

Respiratory Motion Correction in Dynamic-MRI: Application to Small Bowel Motility Quantification during Free Breathing. - Valentin Hamy; Alex Menys; Emma Helbren; Freddy Odille; Shonit Punwani; Stuart Taylor; David Atkinson (MICCAI (2), 2013)

Multi-modal pharmacokinetic modelling for DCE-MRI: using diffusion weighted imaging to constrain the local arterial input function. - Valentin Hamy; Marc Modat; Rebecca Shipley; Nikolaos Dikaios; Jon O. Cleary; Shonit Punwani; Sébastien Ourselin; David Atkinson; Andrew Melbourne (Image Processing, 2014)

Direct parametric reconstruction from undersampled (k, t)-space data in dynamic contrast enhanced MRI. - Nikolaos Dikaios; Simon R. Arridge; Valentin Hamy; Shonit Punwani; David Atkinson (Medical Image Anal., 2014)

Respiratory motion correction in dynamic MRI using robust data decomposition registration - Application to DCE-MRI. - Valentin Hamy; Nikolaos Dikaios; Shonit Punwani; Andrew Melbourne; Arash Latifoltojar; Jesica Makanyanga; Manil Chouhan; Emma Helbren; Alex Menys; Stuart Taylor; David Atkinson (Medical Image Anal., 2014)

Robust CT Synthesis for Radiotherapy Planning: Application to the Head and Neck Region. - Ninon Burgos; Manuel Jorge Cardoso; Filipa Guerreiro; Catarina Veiga; Marc Modat; Jamie McClelland; Antje-Christin Knopf; Shonit Punwani; David Atkinson; Simon R. Arridge; Brian F. Hutton; Sébastien Ourselin (MICCAI (2), 2015)

Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-Resolution. - Michael Ebner; Manil Chouhan; Premal A. Patel; David Atkinson; Zahir Amin; Samantha Read; Shonit Punwani; Stuart Taylor; Tom Vercauteren; Sébastien Ourselin (RAMBO+HVSMR@MICCAI, 2016)

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)

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)

Prostate Cancer Classification on VERDICT DW-MRI Using Convolutional Neural Networks. - Eleni Chiou; Francesco Giganti; Elisenda Bonet-Carne; Shonit Punwani; Iasonas Kokkinos; Eleftheria Panagiotaki (MLMI@MICCAI, 2018)

Localising occult prostate cancer metastasis with advanced imaging techniques (LOCATE trial): a prospective cohort, observational diagnostic accuracy trial investigating whole-body magnetic resonance imaging in radio-recurrent prostate cancer. - Sola Adeleke; Arash Latifoltojar; Harbir Sidhu; Myria Galazi; Taimur T. Shah; Joey Clemente; Reena Davda; Heather Ann Payne; Manil D. Chouhan; Maria Lioumi; Sue Chua; Alex Freeman; et al. (BMC Medical Imaging, 2019)

GAS: A genetic atlas selection strategy in multi-atlas segmentation framework. - Michela Antonelli; M. Jorge Cardoso; Edward W. Johnston; Mrishta Brizmohun Appayya; Benoît Presles; Marc Modat; Shonit Punwani; Sébastien Ourselin (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)

Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation. - Eleni Chiou; Francesco Giganti; Shonit Punwani; Iasonas Kokkinos; Eleftheria Panagiotaki (MICCAI (1), 2020)

Synthetic Q-Space Learning With Deep Regression Networks For Prostate Cancer Characterisation With Verdict. - Vanya V. Valindria; Marco Palombo; Eleni Chiou; Saurabh Singh; Shonit Punwani; Eleftheria Panagiotaki (ISBI, 2021)

Unsupervised Domain Adaptation with Semantic Consistency Across Heterogeneous Modalities for MRI Prostate Lesion Segmentation. - Eleni Chiou; Francesco Giganti; Shonit Punwani; Iasonas Kokkinos; Eleftheria Panagiotaki (DART/FAIR@MICCAI, 2021)

Synthesizing VERDICT Maps from Standard DWI Data Using GANs. - Eleni Chiou; Vanya V. Valindria; Francesco Giganti; Shonit Punwani; Iasonas Kokkinos; Eleftheria Panagiotaki (CDMRI@MICCAI, 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)

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)

Cross-Modality Image Registration Using a Training-Time Privileged Third Modality. - Qianye Yang; David Atkinson; Yunguan Fu; Tom Syer; Wen Yan; Shonit Punwani; Matthew J. Clarkson; Dean C. Barratt; Tom Vercauteren; Yipeng Hu (IEEE Trans. Medical Imaging, 2022)

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)

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)

Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI. - Yinsong Xu 002; Yipei Wang; Ziyi Shen; Iani J. M. B. Gayo; Natasha Thorley; Shonit Punwani; Aidong Men; Dean C. Barratt; Qingchao Chen; Yipeng Hu (MICCAI (5), 2024)

AI-assisted prostate cancer detection and localisation on biparametric MR by classifying radiologist-positives. - Xiangcen Wu; Yipei Wang; Qianye Yang; Natasha Thorley; Shonit Punwani; Veeru Kasivisvanathan; Ester Bonmati; Yipeng Hu (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)

T2-Only Prostate Cancer Prediction by Meta-Learning from BI-Parametric MR Imaging. - Weixi Yi; Yipei Wang; Natasha Thorley; Alexander Ng; Shonit Punwani; Veeru Kasivisvanathan; Dean C. Barratt; Shaheer U. Saeed; Yipeng Hu (ISBI, 2025)

Impact of Clinical Image Quality on Efficient Foundation Model Finetuning. - Yucheng Tang; Pawel Rajwa; Alexander Ng; Yipei Wang; Wen Yan; Natasha Thorley; Aqua Asif; Clare Allen; Louise Dickinson; Francesco Giganti; Shonit Punwani; Daniel C. Alexander; et al. (CoRR, 2025)