Shonit Punwani

45 papers B 1Journal 26Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
On the Degrees of Freedom of Gridded Control Points in Learning-Based Medical Image Registration.
CoRR
Wen Yan, Qianye Yang, Yipei Wang, Shonit Punwani, Mark Emberton, Vasilis Stavrinides, Yipeng Hu, Dean C. Barratt
2026 J jnl
ProFound: A moderate-sized vision foundation model for multi-task prostate imaging.
CoRR
Yipei Wang, Yinsong Xu, Weixi Yi, Shaheer Ullah Saeed, Natasha Thorley, Alexander Ng, Yukun Zhou, Wen Yan, Dean C. Barratt, Shonit Punwani, Veeru Kasivisvanathan, Mark Emberton, Daniel C. Alexander, Yipeng Hu
2026 J jnl
Promptable segmentation with region exploration enables minimal-effort expert-level prostate cancer delineation.
CoRR
Junqing Yang, Natasha Thorley, Ahmed Nadeem Abbasi, Shonit Punwani, Zion Tse, Yipeng Hu, Shaheer U. Saeed
2026 J jnl
Understanding the Transfer Limits of Vision Foundation Models.
CoRR
Shiqi Huang, Yipei Wang, Natasha Thorley, Alexander Ng, Shaheer U. Saeed, Mark Emberton, Shonit Punwani, Veeru Kasivisvanathan, Dean C. Barratt, Daniel C. Alexander, Yipeng Hu
2025 — conf
Impact of Clinical Image Quality on Efficient Foundation Model Finetuning.
EMA4MICCAI
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, Veeru Kasivisvanathan, Yipeng Hu
2025 J jnl
Impact of Clinical Image Quality on Efficient Foundation Model Finetuning.
CoRR
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, Veeru Kasivisvanathan, Yipeng Hu
2025 — conf
T2-Only Prostate Cancer Prediction by Meta-Learning from BI-Parametric MR Imaging.
ISBI
Weixi Yi, Yipei Wang, Natasha Thorley, Alexander Ng, Shonit Punwani, Veeru Kasivisvanathan, Dean C. Barratt, Shaheer U. Saeed, Yipeng Hu
2025 — conf
Tell2Reg: Establishing Spatial Correspondence between Images by the Same Language Prompts.
ISBI
Wen Yan, Qianye Yang, Shiqi Huang, Yipei Wang, Shonit Punwani, Mark Emberton, Vasilis Stavrinides, Yipeng Hu, Dean C. Barratt
2025 J jnl
Tell2Reg: Establishing spatial correspondence between images by the same language prompts.
CoRR
Wen Yan, Qianye Yang, Shiqi Huang, Yipei Wang, Shonit Punwani, Mark Emberton, Vasilis Stavrinides, Yipeng Hu, Dean C. Barratt
2024 J jnl
AI-assisted prostate cancer detection and localisation on biparametric MR by classifying radiologist-positives.
CoRR
Xiangcen Wu, Yipei Wang, Qianye Yang, Natasha Thorley, Shonit Punwani, Veeru Kasivisvanathan, Ester Bonmati, Yipeng Hu
2024 J jnl
Combiner and HyperCombiner networks: Rules to combine multimodality MR images for prostate cancer localisation.
Medical Image Anal.
Wen Yan, Bernard Chiu, Ziyi Shen, Qianye Yang, Tom Syer, Zhe Min, Shonit Punwani, Mark Emberton, David Atkinson, Dean C. Barratt, Yipeng Hu
2024 — conf
Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI.
MICCAI (5)
Yinsong Xu, Yipei Wang, Ziyi Shen, Iani J. M. B. Gayo, Natasha Thorley, Shonit Punwani, Aidong Men, Dean C. Barratt, Qingchao Chen, Yipeng Hu
2024 J jnl
Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI.
CoRR
Yinsong Xu, Yipei Wang, Ziyi Shen, Iani J. M. B. Gayo, Natasha Thorley, Shonit Punwani, Aidong Men, Dean C. Barratt, Qingchao Chen, Yipeng Hu
2024 J jnl
T2-Only Prostate Cancer Prediction by Meta-Learning from Bi-Parametric MR Imaging.
CoRR
Weixi Yi, Yipei Wang, Natasha Thorley, Alexander Ng, Shonit Punwani, Veeru Kasivisvanathan, Dean C. Barratt, Shaheer Ullah Saeed, Yipeng Hu
2023 — conf
Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion.
MIDL
Shaheer U. Saeed, Tom Syer, Wen Yan, Qianye Yang, Mark Emberton, Shonit Punwani, Matthew John Clarkson, Dean C. Barratt, Yipeng Hu
2023 J jnl
Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion.
CoRR
Shaheer U. Saeed, Tom Syer, Wen Yan, Qianye Yang, Mark Emberton, Shonit Punwani, Matthew J. Clarkson, Dean C. Barratt, Yipeng Hu
2023 J jnl
Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation.
CoRR
Wen Yan, Bernard Chiu, Ziyi Shen, Qianye Yang, Tom Syer, Zhe Min, Shonit Punwani, Mark Emberton, David Atkinson, Dean C. Barratt, Yipeng Hu
2023 J jnl
ssVERDICT: Self-Supervised VERDICT-MRI for Enhanced Prostate Tumour Characterisation.
CoRR
Snigdha Sen, Saurabh Singh, Hayley Pye, Caroline M. Moore, Hayley C. Whitaker, Shonit Punwani, David Atkinson, Eleftheria Panagiotaki, Paddy J. Slator
2022 J jnl
Cross-Modality Image Registration Using a Training-Time Privileged Third Modality.
IEEE Trans. Medical Imaging
Qianye Yang, David Atkinson, Yunguan Fu, Tom Syer, Wen Yan, Shonit Punwani, Matthew J. Clarkson, Dean C. Barratt, Tom Vercauteren, Yipeng Hu
2022 J jnl
Cross-Modality Image Registration using a Training-Time Privileged Third Modality.
CoRR
Qianye Yang, David Atkinson, Yunguan Fu, Tom Syer, Wen Yan, Shonit Punwani, Matthew J. Clarkson, Dean C. Barratt, Tom Vercauteren, Yipeng Hu
2022 — conf
The Impact of Using Voxel-Level Segmentation Metrics on Evaluating Multifocal Prostate Cancer Localisation.
AMAI@MICCAI
Wen Yan, Qianye Yang, Tom Syer, Zhe Min, Shonit Punwani, Mark Emberton, Dean C. Barratt, Bernard Chiu, Yipeng Hu
2022 J jnl
The impact of using voxel-level segmentation metrics on evaluating multifocal prostate cancer localisation.
CoRR
Wen Yan, Qianye Yang, Tom Syer, Zhe Min, Shonit Punwani, Mark Emberton, Dean C. Barratt, Bernard Chiu, Yipeng Hu
2021 J jnl
Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework.
Medical Image Anal.
Pritesh Mehta, Michela Antonelli, Hashim Uddin Ahmed, Mark Emberton, Shonit Punwani, Sébastien Ourselin
2021 — conf
Synthesizing VERDICT Maps from Standard DWI Data Using GANs.
CDMRI@MICCAI
Eleni Chiou, Vanya V. Valindria, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki
2021 — conf
Synthetic Q-Space Learning With Deep Regression Networks For Prostate Cancer Characterisation With Verdict.
ISBI
Vanya V. Valindria, Marco Palombo, Eleni Chiou, Saurabh Singh, Shonit Punwani, Eleftheria Panagiotaki
2021 J jnl
The ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer.
Frontiers Artif. Intell.
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
2021 — conf
Unsupervised Domain Adaptation with Semantic Consistency Across Heterogeneous Modalities for MRI Prostate Lesion Segmentation.
DART/FAIR@MICCAI
Eleni Chiou, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki
2021 J jnl
Unsupervised Domain Adaptation with Semantic Consistency across Heterogeneous Modalities for MRI Prostate Lesion Segmentation.
CoRR
Eleni Chiou, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki
2020 — conf
Decision fusion of 3D convolutional neural networks to triage patients with suspected prostate cancer using volumetric biparametric MRI.
Computer-Aided Diagnosis
Pritesh Mehta, Michela Antonelli, Hashim Uddin Ahmed, Mark Emberton, Shonit Punwani, Sébastien Ourselin
2020 — conf
Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation.
MICCAI (1)
Eleni Chiou, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki
2020 J jnl
Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation.
CoRR
Eleni Chiou, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki
2019 J jnl
GAS: A genetic atlas selection strategy in multi-atlas segmentation framework.
Medical Image Anal.
Michela Antonelli, M. Jorge Cardoso, Edward W. Johnston, Mrishta Brizmohun Appayya, Benoît Presles, Marc Modat, Shonit Punwani, Sébastien Ourselin
2019 J jnl
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.
BMC Medical Imaging
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, Manuel Rodriguez-Justo, Anthony Coolen, Sachin Vadgama, Steve Morris, Gary J. Cook, Jamshed Bomanji, Manit Arya, Simon Chowdhury, Simon Wan, Athar Haroon, Tony Ng, Hashim Uddin Ahmed, Shonit Punwani
2018 — conf
Prostate Cancer Classification on VERDICT DW-MRI Using Convolutional Neural Networks.
MLMI@MICCAI
Eleni Chiou, Francesco Giganti, Elisenda Bonet-Carne, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki
2017 J jnl
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.
Nikolaos Dikaios, David Atkinson, Chiara Tudisca, Pierpaolo Purpura, Martin Forster, Hashim Uddin Ahmed, Timothy Beale, Mark Emberton, Shonit Punwani
2017 J jnl
Development and Phantom Validation of a 3-D-Ultrasound-Guided System for Targeting MRI-Visible Lesions During Transrectal Prostate Biopsy.
IEEE Trans. Biomed. Eng.
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
2016 — conf
Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-Resolution.
RAMBO+HVSMR@MICCAI
Michael Ebner, Manil Chouhan, Premal A. Patel, David Atkinson, Zahir Amin, Samantha Read, Shonit Punwani, Stuart Taylor, Tom Vercauteren, Sébastien Ourselin
2015 — conf
Robust CT Synthesis for Radiotherapy Planning: Application to the Head and Neck Region.
MICCAI (2)
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
2014 J jnl
Direct parametric reconstruction from undersampled (k, t)-space data in dynamic contrast enhanced MRI.
Medical Image Anal.
Nikolaos Dikaios, Simon R. Arridge, Valentin Hamy, Shonit Punwani, David Atkinson
2014 B conf
Multi-modal pharmacokinetic modelling for DCE-MRI: using diffusion weighted imaging to constrain the local arterial input function.
Image Processing
Valentin Hamy, Marc Modat, Rebecca Shipley, Nikolaos Dikaios, Jon O. Cleary, Shonit Punwani, Sébastien Ourselin, David Atkinson, Andrew Melbourne
2014 J jnl
Respiratory motion correction in dynamic MRI using robust data decomposition registration - Application to DCE-MRI.
Medical Image Anal.
Valentin Hamy, Nikolaos Dikaios, Shonit Punwani, Andrew Melbourne, Arash Latifoltojar, Jesica Makanyanga, Manil Chouhan, Emma Helbren, Alex Menys, Stuart Taylor, David Atkinson
2013 — conf
Respiratory Motion Correction in Dynamic-MRI: Application to Small Bowel Motility Quantification during Free Breathing.
MICCAI (2)
Valentin Hamy, Alex Menys, Emma Helbren, Freddy Odille, Shonit Punwani, Stuart Taylor, David Atkinson
2012 — conf
External Clinical Validation of Prone and Supine CT Colonography Registration.
Abdominal Imaging
Holger Roth, Darren Boone, Steve Halligan, Thomas Hampshire, Jamie McClelland, Mingxing Hu, Shonit Punwani, Stuart Taylor, David J. Hawkes
2011 — conf
Automatic Prone to Supine Haustral Fold Matching in CT Colonography Using a Markov Random Field Model.
MICCAI (1)
Thomas Hampshire, Holger Roth, Mingxing Hu, Darren Boone, Greg G. Slabaugh, Shonit Punwani, Steve Halligan, David J. Hawkes
2011 — conf
Comparison of Least Squares and Maximum Likelihood for Apparent Diffusion Coefficient Estimation in Prostate DW-MRI.
MIUA
Valentin Hamy, Simon Walker-Samuel, Shonit Punwani, David Atkinson