Shonit Punwani

发表

Registration of DCE-MRI using robust data decomposition

David Atkinson, Andrew Melbourne, Hamy, 2012 .

Quantitative measure of vocal fold motion — a feasibility study

Shonit Punwani, M Mat Baki, Martin A. Birchall, 2012 .

Maximum likelihood ADC parameter estimates improve selection of metastatic cervical nodes for patients with head and neck squamous cell cancer

David Atkinson, Hamy, Shonit Punwani, 2012 .

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

Shonit Punwani, Taimur T. Shah, Hashim Uddin Ahmed, 2019, BMC Medical Imaging.

In vivo measurement of tumor T1 relaxation time using a whole body clinically feasible multiple flip angle method can predict response to chemotherapy

Anna Barnes, Sa Taylor, Shonit Punwani, 2016 .

A comparison of Bayesian and non-linear regression methods for robust estimation of pharmacokinetics in DCE-MRI and how it affects cancer diagnosis

David Atkinson, Shonit Punwani, Nikolaos Dikaios, 2017, Comput. Medical Imaging Graph..

CT synthesis in the head & neck region for PET/MR attenuation correction: an iterative multi-atlas approach

Ninon Burgos, David Atkinson, Sébastien Ourselin, 2015, EJNMMI Physics.

Assessing the contribution of hypoxia to R2* differences between cancerous and normal prostate tissue

K Shmueli, Hamy, Shonit Punwani, 2013 .

Artificial neural networks in radiological predictive models

David Atkinson, Shonit Punwani, Nikolaos Dikaios, 2012 .

GAS: A genetic atlas selection strategy in multi‐atlas segmentation framework

Sébastien Ourselin, M. Jorge Cardoso, Marc Modat, 2019, Medical Image Anal..

Robust CT Synthesis for Radiotherapy Planning: Application to the Head and Neck Region

Ninon Burgos, David Atkinson, Brian F. Hutton, 2015, MICCAI.

Direct parametric reconstruction from undersampled (k, t)-space data in dynamic contrast enhancement MRI

David Atkinson, Simon R. Arridge, Shonit Punwani, 2014, 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC).

Respiratory Motion Correction in Dynamic-MRI: Application to Small Bowel Motility Quantification during Free Breathing

David Atkinson, Emma Helbren, Freddy Odille, 2013, MICCAI.

Comparison of Least Squares and Maximum Likelihood for Apparent Diffusion Coefficient Estimation in Prostate DW-MRI

David Atkinson, Shonit Punwani, Valentin Hamy, 2011, MIUA.

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

Iasonas Kokkinos, Eleftheria Panagiotaki, Francesco Giganti, 2018, MLMI@MICCAI.

Registration of the endoluminal surfaces of the colon derived from prone and supine CT colonography.

Marc Modat, Steve Halligan, Sebastien Ourselin, 2011, Medical physics.

Repeatability of whole-body T1 mapping using B1 corrected T1 mDIXON imaging

Shonit Punwani, David Atkinson, Lorna Smith, 2014 .

Motion correction in small bowel DCE-MRI using Robust Data Decomposition Registration

David Atkinson, Sa Taylor, Hamy, 2013 .

Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-Resolution

David Atkinson, Sébastien Ourselin, Tom Vercauteren, 2016, RAMBO+HVSMR@MICCAI.

Multi-modal pharmacokinetic modelling for DCE-MRI: using diffusion weighted imaging to constrain the local arterial input function

David Atkinson, Sébastien Ourselin, Marc Modat, 2014, Medical Imaging.

“Select and retrieve via direct upsampling” network (SARDU-Net): a data-driven, model-free, deep learning approach for quantitative MRI protocol design

Lebina S. Kakkar, David Atkinson, Saurabh Singh, 2020, bioRxiv.

Reproducibility of whole body ADC in a non-optimized multi-centre trial: Effectiveness of normalisation method

David Atkinson, Sa Taylor, Shonit Punwani, 2016 .

The spectrum of ADC values in normal adolescent sacroiliac joints

David Atkinson, Shonit Punwani, Margaret A. Hall-Craggs, 2015 .

Comparison of least squares and maximum likelihood for apparent diffusion coefficient estimation in prostate diffusion-weighted MRI (DW-MRI)

David Atkinson, Hamy, Shonit Punwani, 2011 .

Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation

Iasonas Kokkinos, Eleftheria Panagiotaki, Francesco Giganti, 2020, MICCAI.

Perianal fistula Imaging – Establishing a line of communication

Steve Halligan, Sa Taylor, Shonit Punwani, 2007 .

Decision fusion of 3D convolutional neural networks to triage patients with suspected prostate cancer using volumetric biparametric MRI

Sebastien Ourselin, Shonit Punwani, Michela Antonelli, 2020, Medical Imaging.

Is there segmental variation of small bowel mural ADC values

Steve Halligan, Sa Taylor, Shonit Punwani, 2010 .

Kinetic modelling of hyperpolarized 13C-pyruvate metabolism in Canines using a model-based input function

David Atkinson, Adam E. Hansen, Shonit Punwani, 2016 .

Location-matched histological validation of MRI parameters relating to mural Crohn’s disease activity

Steve Halligan, Shonit Punwani, E De Vita, 2009 .

Improved fitting of CEST z-spectra using Bloch-McConnell simulations for the water peak

David Atkinson, Xavier Golay, Shonit Punwani, 2016 .

Towards optimising equilibrium magnetic resonance imaging: Models of bolus and infusion protocols

Shonit Punwani, Steve Bandula, James C. Moon, 2011 .

Multi-scale analysis of apparent diffusion coefficient (ADC) predicts cervical nodal status in patients with head & neck squamous cell carcinoma

Sa Taylor, S Halligan, Shonit Punwani, 2012 .

Apparent diffusion coefficient estimation in prostate DW-MRI using maximum likelihood

David Atkinson, Hamy, Shonit Punwani, 2012 .

Non-invasive quantification of prostate cancer with VERDICT MRI: A repeatability study

David Atkinson, Eleftheria Panagiotaki, Shonit Punwani, 2016 .

Development and Phantom Validation of a 3-D-Ultrasound-Guided System for Targeting MRI-Visible Lesions During Transrectal Prostate Biopsy

David J. Hawkes, Dean C. Barratt, Yipeng Hu, 2017, IEEE Transactions on Biomedical Engineering.

Noise estimation for averaged DW MR images

David Atkinson, Hamy, Shonit Punwani, 2013 .

Short term Repeatability of Microstructural (VERDICT) MRI vs. ADC in Prostate Cancer

David Atkinson, Eleftheria Panagiotaki, Shonit Punwani, 2016 .

Improving the Reproducibility of Quantitative Imaging Metrics for Multicentre Multiparametric Prostate MRI Trials

Sebastien Ourselin, Shonit Punwani, Nikolaos Dikaios, 2017 .

External Clinical Validation of Prone and Supine CT Colonography Registration

David J. Hawkes, Holger Roth, Thomas Hampshire, 2012, Abdominal Imaging.

Quantitative assessment of small bowel motility by nonrigid registration of dynamic MR images

David Atkinson, Freddy Odille, Shonit Punwani, 2012, Magnetic resonance in medicine.

VERDICT prostate parameter estimation with AMICO

David Atkinson, David J. Hawkes, Daniel C. Alexander, 2018 .

Quantitative Apparent Diffusion Coefficient measurements are a more repeatable measure of sacroiliitis than visual scoring

David Atkinson, Shonit Punwani, Margaret A. Hall-Craggs, 2016 .

prediction of angiogenesis in Crohn’s disease using quantitative and semi-quantitative in-vivo dynamic contrast enhanced MRI

Sa Taylor, Shonit Punwani, Steve Halligan, 2008 .

Validation of VERDICT MRI using fresh and fixed prostate specimens with aligned histological slices

David J. Hawkes, Greg Shaw, Thomy Mertzanidou, 2017 .

Histological validation of VERDICT cellularity map in a prostatectomy case

Gabriel J. Brostow, Daniel C. Alexander, Eleftheria Panagiotaki, 2016 .

Quantitative assessment of colonic movement between prone and supine patient positions during CTC

David J. Hawkes, Shonit Punwani, Sa Taylor, 2008 .

Dynamic Contrast Enhanced MRI Evaluation of Small Bowel Crohn's Disease: A Correlation with Histopathologically quantified Microvascular Density

Sa Taylor, Shonit Punwani, Steve Halligan, 2009 .

Microstructural characterisation of normal and malignant human prostate tissue with VERDICT-MRI

David Atkinson, David J. Hawkes, Daniel C. Alexander, 2014 .

Logistic regression models may predict Gleason grade of prostate cancer in the peripheral zone but not the transition zone

Shonit Punwani, Nikolaos Dikaios, David Atkinson, 2016 .

Derivation and comparison of site specific peripheral and transition zone quantitative DCE MRI logistic regression models for prostate cancer detection: does cancer location matter?

David Atkinson, Shonit Punwani, Nikolaos Dikaios, 2013 .

Respiratory motion correction in dynamic MRI using robust data decomposition registration - Application to DCE-MRI

David Atkinson, Andrew Melbourne, Emma Helbren, 2014, Medical Image Anal..

Automatic Prone to Supine Haustral Fold Matching in CT Colonography Using a Markov Random Field Model

David J. Hawkes, Holger Roth, Thomas Hampshire, 2011, MICCAI.

Synthesizing VERDICT maps from standard DWI data using GANs

Iasonas Kokkinos, Eleftheria Panagiotaki, Francesco Giganti, 2021, bioRxiv.

Introduction to the National Cancer Imaging Translational Accelerator (NCITA): a UK-wide infrastructure for multicentre clinical translation of cancer imaging biomarkers.

Simon J. Doran, Evis Sala, Shonit Punwani, 2021 .

Unsupervised Domain Adaptation with Semantic Consistency across Heterogeneous Modalities for MRI Prostate Lesion Segmentation pdf

Iasonas Kokkinos, Eleftheria Panagiotaki, Francesco Giganti, 2021, DART/FAIR@MICCAI.

Synthetic Q-Space Learning With Deep Regression Networks For Prostate Cancer Characterisation With Verdict

Eleftheria Panagiotaki, Shonit Punwani, Marco Palombo, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

The ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer

Shonit Punwani, Anthony Coolen, Hashim U. Ahmed, 2021, Frontiers in Artificial Intelligence.

Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework

Sébastien Ourselin, Shonit Punwani, Hashim Uddin Ahmed, 2021, Medical Image Anal..

Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists

David Atkinson, Sebastien Ourselin, Francesco Giganti, 2019, European Radiology.

VERDICT‐AMICO: Ultrafast fitting algorithm for non‐invasive prostate microstructure characterization

David Atkinson, Daniel C Alexander, Eleftheria Panagiotaki, 2018, NMR in biomedicine.

Whole-body MRI compared with standard pathways for staging metastatic disease in lung and colorectal cancer: the Streamline diagnostic accuracy studies.

Steve Halligan, Vicky Goh, Susan Mallett, 2019, Health technology assessment.

Diffusion-weighted MRI of lymphoma: prognostic utility and implications for PET/MRI?

Steve Halligan, Shonit Punwani, Stuart A. Taylor, 2013, European Journal of Nuclear Medicine and Molecular Imaging.

VERDICT MRI validation in fresh and fixed prostate specimens using patient‐specific moulds for histological and MR alignment

Thomy Mertzanidou, Daniel C Alexander, Eleftheria Panagiotaki, 2019, NMR in biomedicine.

The Effect of Large Slice Thickness and Spacing and Low Coverage on the Accuracy of Susceptibility Mapping

E Biondetti, K Shmueli, Shonit Punwani, 2016 .

Multiparametric whole-body 3.0-T MRI in newly diagnosed intermediate- and high-risk prostate cancer: diagnostic accuracy and interobserver agreement for nodal and metastatic staging

Caroline Moore, Magdalena Sokolska, Shonit Punwani, 2018, European Radiology.

Diagnostic accuracy of whole-body MRI versus standard imaging pathways for metastatic disease in newly diagnosed non-small-cell lung cancer : the prospective Streamline L trial

Steve Halligan, Vicky Goh, William Ricketts, 2019 .

Paediatric CT: the effects of increasing image noise on pulmonary nodule detection

Jie Zhang, Shonit Punwani, S. Punwani, 2008, Pediatric Radiology.

Prostate evaluation for clinically important disease: Sampling using image-guidance or not? (The PRECISION study, NCT02380027)

Inderbir S. Gill, Norman R. Williams, Francesco Giganti, 2018 .

GASTROINTESTINAL IMAGING : Registration Algorithm for CT

Emma Helbren, Steve Halligan, Shonit Punwani, 2015 .

The PICTURE study: diagnostic accuracy of multiparametric MRI in men requiring a repeat prostate biopsy

Yipeng Hu, Jan van der Meulen, Dean Barratt, 2017, British Journal of Cancer.

Non-invasive quantification of prostate cancer using AMICO framework for VERDICT MRI

David Atkinson, Daniel C. Alexander, Eleftheria Panagiotaki, 2016 .

Diagnostic accuracy of whole-body MRI versus standard imaging pathways for metastatic disease in newly diagnosed colorectal cancer: the prospective Streamline C trial

Steve Halligan, Vicky Goh, William Ricketts, 2019, The lancet. Gastroenterology & hepatology.

The role of multi-parametric MRI in loco-regional staging of men diagnosed with early prostate cancer

Shonit Punwani, Mrishta Brizmohun Appayya, S. Punwani, 2015, Current opinion in urology.

Apparatus for Histological Validation of In Vivo and Ex Vivo Magnetic Resonance Imaging of the Human Prostate

David J. Hawkes, Daniel C. Alexander, Thomy Mertzanidou, 2017, Front. Oncol..

National implementation of multi‐parametric magnetic resonance imaging for prostate cancer detection – recommendations from a UK consensus meeting

Tristan Barrett, Jan van der Meulen, Francesco Giganti, 2018, BJU international.

First-in-human in vivo non-invasive assessment of intra-tumoral metabolic heterogeneity in renal cell carcinoma

David Atkinson, Anna Barnes, Shonit Punwani, 2019, BJR case reports.

The effect of low resolution and coverage on the accuracy of susceptibility mapping

Shonit Punwani, Karin Shmueli, Anita Karsa, 2018, Magnetic resonance in medicine.

Non-perforating small bowel Crohn's disease assessed by MRI enterography: derivation and histopathological validation of an MR-based activity index.

Steve Halligan, Shonit Punwani, Stuart Bloom, 2012, European journal of radiology.

Estimation of contrast agent bolus arrival delays for improved reproducibility of liver DCE MRI

David Atkinson, Shonit Punwani, Alan Bainbridge, 2016, Physics in medicine and biology.

Scoring systems used for the interpretation and reporting of multiparametric MRI for prostate cancer detection, localization, and characterization: could standardization lead to improved utilization of imaging within the diagnostic pathway?

Raj Persad, Shonit Punwani, Clare Allen, 2013, Journal of magnetic resonance imaging : JMRI.

Dynamic contrast-enhanced MRI improves accuracy for detecting focal splenic involvement in children and adolescents with Hodgkin disease

Steve Halligan, Shonit Punwani, Stuart A. Taylor, 2013, Pediatric Radiology.

Photoacoustic imaging of human lymph nodes with endogenous lipid and hemoglobin contrast.

Shonit Punwani, Manuel Rodriguez-Justo, James A Guggenheim, 2015, Journal of biomedical optics.

High-resolution diffusion tensor imaging of the human kidneys using a free-breathing, multi-slice, targeted field of view approach

David Atkinson, Shonit Punwani, Jack Harmer, 2014, NMR in biomedicine.

Noise estimation from averaged diffusion weighted images: Can unbiased quantitative decay parameters assist cancer evaluation?

David Atkinson, Shonit Punwani, Nikolaos Dikaios, 2013, Magnetic resonance in medicine.

VERDICT MRI for Prostate Cancer: Intracellular Volume Fraction versus Apparent Diffusion Coefficient

David Atkinson, Sebastien Ourselin, Uran Ferizi, 2019, Radiology.

INNOVATE: A prospective cohort study combining serum and urinary biomarkers with novel diffusion-weighted magnetic resonance imaging for the prediction and characterization of prostate cancer

David Atkinson, Caroline Moore, Eleftheria Panagiotaki, 2016, BMC Cancer.

The PICTURE study -- prostate imaging (multi-parametric MRI and Prostate HistoScanning™) compared to transperineal ultrasound guided biopsy for significant prostate cancer risk evaluation.

Yipeng Hu, Dean Barratt, Shonit Punwani, 2014, Contemporary clinical trials.