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Shonit Punwani
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2020 – today
- 2025
- [i11]Wen Yan, Qianye Yang, Shiqi Huang, Yipei Wang, Shonit Punwani, Mark Emberton, Vasilis Stavrinides, Yipeng Hu, Dean C. Barratt:
Tell2Reg: Establishing spatial correspondence between images by the same language prompts. CoRR abs/2502.03118 (2025) - 2024
- [j10]Wen Yan
, Bernard Chiu
, Ziyi Shen, Qianye Yang
, Tom Syer
, Zhe Min, Shonit Punwani
, Mark Emberton
, David Atkinson
, Dean C. Barratt
, Yipeng Hu
:
Combiner and HyperCombiner networks: Rules to combine multimodality MR images for prostate cancer localisation. Medical Image Anal. 91: 103030 (2024) - [c16]Yinsong Xu, Yipei Wang, Ziyi Shen, Iani J. M. B. Gayo, Natasha Thorley
, Shonit Punwani, Aidong Men, Dean C. Barratt, Qingchao Chen, Yipeng Hu:
Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI. MICCAI (5) 2024: 564-574 - [i10]Yinsong Xu, Yipei Wang, Ziyi Shen, Iani J. M. B. Gayo, Natasha Thorley
, Shonit Punwani, Aidong Men, Dean C. Barratt, Qingchao Chen
, Yipeng Hu:
Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI. CoRR abs/2407.05796 (2024) - [i9]Xiangcen Wu, Yipei Wang, Qianye Yang, Natasha Thorley, Shonit Punwani, Veeru Kasivisvanathan, Ester Bonmati, Yipeng Hu:
AI-assisted prostate cancer detection and localisation on biparametric MR by classifying radiologist-positives. CoRR abs/2410.23084 (2024) - [i8]Weixi Yi, Yipei Wang, Natasha Thorley, Alexander Ng, Shonit Punwani, Veeru Kasivisvanathan, Dean C. Barratt, Shaheer Ullah Saeed, Yipeng Hu:
T2-Only Prostate Cancer Prediction by Meta-Learning from Bi-Parametric MR Imaging. CoRR abs/2411.07416 (2024) - 2023
- [c15]Shaheer U. Saeed, Tom Syer, Wen Yan, Qianye Yang, Mark Emberton, Shonit Punwani, Matthew John Clarkson, Dean C. Barratt, Yipeng Hu:
Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion. MIDL 2023: 814-828 - [i7]Shaheer U. Saeed, Tom Syer, Wen Yan, Qianye Yang, Mark Emberton, Shonit Punwani, Matthew J. Clarkson, Dean C. Barratt, Yipeng Hu:
Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion. CoRR abs/2303.02094 (2023) - [i6]Wen Yan, Bernard Chiu, Ziyi Shen, Qianye Yang, Tom Syer, Zhe Min, Shonit Punwani, Mark Emberton, David Atkinson, Dean C. Barratt, Yipeng Hu:
Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation. CoRR abs/2307.08279 (2023) - [i5]Snigdha Sen, Saurabh Singh, Hayley Pye, Caroline M. Moore
, Hayley C. Whitaker, Shonit Punwani, David Atkinson, Eleftheria Panagiotaki, Paddy J. Slator:
ssVERDICT: Self-Supervised VERDICT-MRI for Enhanced Prostate Tumour Characterisation. CoRR abs/2309.06268 (2023) - 2022
- [j9]Qianye Yang
, David Atkinson
, Yunguan Fu
, Tom Syer
, Wen Yan
, Shonit Punwani
, Matthew J. Clarkson
, Dean C. Barratt
, Tom Vercauteren
, Yipeng Hu
:
Cross-Modality Image Registration Using a Training-Time Privileged Third Modality. IEEE Trans. Medical Imaging 41(11): 3421-3431 (2022) - [c14]Wen Yan
, Qianye Yang, Tom Syer, Zhe Min, Shonit Punwani, Mark Emberton, Dean C. Barratt, Bernard Chiu
, Yipeng Hu:
The Impact of Using Voxel-Level Segmentation Metrics on Evaluating Multifocal Prostate Cancer Localisation. AMAI@MICCAI 2022: 128-138 - [i4]Wen Yan, Qianye Yang, Tom Syer, Zhe Min, Shonit Punwani, Mark Emberton, Dean C. Barratt, Bernard Chiu, Yipeng Hu:
The impact of using voxel-level segmentation metrics on evaluating multifocal prostate cancer localisation. CoRR abs/2203.16415 (2022) - [i3]Qianye Yang, David Atkinson
, Yunguan Fu, Tom Syer, Wen Yan, Shonit Punwani, Matthew J. Clarkson, Dean C. Barratt, Tom Vercauteren, Yipeng Hu:
Cross-Modality Image Registration using a Training-Time Privileged Third Modality. CoRR abs/2207.12901 (2022) - 2021
- [j8]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
:
The ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer. Frontiers Artif. Intell. 4: 769582 (2021) - [j7]Pritesh Mehta, Michela Antonelli, Hashim Uddin Ahmed, Mark Emberton, Shonit Punwani
, Sébastien Ourselin
:
Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework. Medical Image Anal. 73: 102153 (2021) - [c13]Vanya V. Valindria
, Marco Palombo
, Eleni Chiou, Saurabh Singh, Shonit Punwani, Eleftheria Panagiotaki:
Synthetic Q-Space Learning With Deep Regression Networks For Prostate Cancer Characterisation With Verdict. ISBI 2021: 50-54 - [c12]Eleni Chiou, Vanya V. Valindria
, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki:
Synthesizing VERDICT Maps from Standard DWI Data Using GANs. CDMRI@MICCAI 2021: 58-67 - [c11]Eleni Chiou, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki:
Unsupervised Domain Adaptation with Semantic Consistency Across Heterogeneous Modalities for MRI Prostate Lesion Segmentation. DART/FAIR@MICCAI 2021: 90-100 - [i2]Eleni Chiou, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki:
Unsupervised Domain Adaptation with Semantic Consistency across Heterogeneous Modalities for MRI Prostate Lesion Segmentation. CoRR abs/2109.09736 (2021) - 2020
- [c10]Pritesh Mehta, Michela Antonelli, Hashim Uddin Ahmed, Mark Emberton, Shonit Punwani, Sébastien Ourselin
:
Decision fusion of 3D convolutional neural networks to triage patients with suspected prostate cancer using volumetric biparametric MRI. Computer-Aided Diagnosis 2020 - [c9]Eleni Chiou, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki:
Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation. MICCAI (1) 2020: 510-520 - [i1]Eleni Chiou, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki:
Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation. CoRR abs/2010.07411 (2020)
2010 – 2019
- 2019
- [j6]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
:
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 19(1): 90:1-90:11 (2019) - [j5]Michela Antonelli
, M. Jorge Cardoso
, Edward W. Johnston
, Mrishta Brizmohun Appayya, Benoît Presles, Marc Modat
, Shonit Punwani
, Sébastien Ourselin
:
GAS: A genetic atlas selection strategy in multi-atlas segmentation framework. Medical Image Anal. 52: 97-108 (2019) - 2018
- [c8]Eleni Chiou, Francesco Giganti, Elisenda Bonet-Carne
, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki:
Prostate Cancer Classification on VERDICT DW-MRI Using Convolutional Neural Networks. MLMI@MICCAI 2018: 319-327 - 2017
- [j4]Nikolaos Dikaios
, David Atkinson
, Chiara Tudisca, Pierpaolo Purpura
, Martin Forster
, Hashim Uddin Ahmed
, Timothy Beale, Mark Emberton, Shonit Punwani
:
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. 56: 1-10 (2017) - [j3]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:
Development and Phantom Validation of a 3-D-Ultrasound-Guided System for Targeting MRI-Visible Lesions During Transrectal Prostate Biopsy. IEEE Trans. Biomed. Eng. 64(4): 946-958 (2017) - 2016
- [c7]Michael Ebner
, Manil Chouhan
, Premal A. Patel
, David Atkinson
, Zahir Amin, Samantha Read, Shonit Punwani, Stuart Taylor
, Tom Vercauteren
, Sébastien Ourselin
:
Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-Resolution. RAMBO+HVSMR@MICCAI 2016: 3-13 - 2015
- [c6]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
:
Robust CT Synthesis for Radiotherapy Planning: Application to the Head and Neck Region. MICCAI (2) 2015: 476-484 - 2014
- [j2]Valentin Hamy, Nikolaos Dikaios
, Shonit Punwani
, Andrew Melbourne
, Arash Latifoltojar, Jesica Makanyanga, Manil Chouhan
, Emma Helbren, Alex Menys, Stuart Taylor
, David Atkinson
:
Respiratory motion correction in dynamic MRI using robust data decomposition registration - Application to DCE-MRI. Medical Image Anal. 18(2): 301-313 (2014) - [j1]Nikolaos Dikaios
, Simon R. Arridge
, Valentin Hamy, Shonit Punwani
, David Atkinson
:
Direct parametric reconstruction from undersampled (k, t)-space data in dynamic contrast enhanced MRI. Medical Image Anal. 18(7): 989-1001 (2014) - [c5]Valentin Hamy, Marc Modat
, Rebecca Shipley
, Nikolaos Dikaios
, Jon O. Cleary
, Shonit Punwani, Sébastien Ourselin
, David Atkinson
, Andrew Melbourne:
Multi-modal pharmacokinetic modelling for DCE-MRI: using diffusion weighted imaging to constrain the local arterial input function. Image Processing 2014: 90340R - 2013
- [c4]Valentin Hamy, Alex Menys, Emma Helbren, Freddy Odille, Shonit Punwani
, Stuart Taylor
, David Atkinson
:
Respiratory Motion Correction in Dynamic-MRI: Application to Small Bowel Motility Quantification during Free Breathing. MICCAI (2) 2013: 132-140 - 2012
- [c3]Holger Roth
, Darren Boone, Steve Halligan
, Thomas Hampshire, Jamie McClelland
, Mingxing Hu, Shonit Punwani, Stuart Taylor
, David J. Hawkes:
External Clinical Validation of Prone and Supine CT Colonography Registration. Abdominal Imaging 2012: 10-19 - 2011
- [c2]Thomas Hampshire, Holger Roth
, Mingxing Hu, Darren Boone, Greg G. Slabaugh
, Shonit Punwani
, Steve Halligan
, David J. Hawkes:
Automatic Prone to Supine Haustral Fold Matching in CT Colonography Using a Markov Random Field Model. MICCAI (1) 2011: 508-515 - [c1]Valentin Hamy, Simon Walker-Samuel, Shonit Punwani, David Atkinson:
Comparison of Least Squares and Maximum Likelihood for Apparent Diffusion Coefficient Estimation in Prostate DW-MRI. MIUA 2011: 245-250
Coauthor Index

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last updated on 2025-03-12 23:31 CET by the dblp team
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