Shonit Punwani

According to our database, Shonit Punwani authored at least 26 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., January, 2024

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

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

Proceedings of the Medical Imaging with Deep Learning, 2023

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

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

Proceedings of the Applications of Medical Artificial Intelligence, 2022

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 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

Synthesizing VERDICT Maps from Standard DWI Data Using GANs.

Eleni Chiou, Vanya V. Valindria, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki

Proceedings of the Computational Diffusion MRI - 12th International Workshop, 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

Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

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

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation.

Eleni Chiou, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

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

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

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

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, 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

BMC Medical Imaging, 2019

2018

Prostate Cancer Classification on VERDICT DW-MRI Using Convolutional Neural Networks.

Eleni Chiou, Francesco Giganti, Elisenda Bonet-Carne, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

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

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

2016

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

Proceedings of the Reconstruction, Segmentation, and Analysis of Medical Images, 2016

2015

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

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

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

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

Proceedings of the Medical Imaging 2014: Image Processing, 2014

2013

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012

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

Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2012

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

Proceedings of the Medical Image Understanding and Analysis, 2011

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011