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Jessica Winfield

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Lead Clinical Scientist – MR Clinical Studies

Royal Marsden NHS Foundation Trust

United Kingdom

Research Interests

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Professors in United Kingdom Professors in Medical Imaging Medical Imaging professors in United Kingdom

Recent Grants

Grant: Close

Feasibility of detecting early imaging changes in small and large arteries in children after brain radiotherapy using 7 Tesla MRI

Open Date: 2025-04-01

Close Date: 2026-03-01

Grant: Close

Lung MRI

Open Date: 2025-04-01

Close Date: 2026-03-01

Grant: Close

Widening access to whole body MRI for early diagnosis of myeloma and creating a clinical and research ready capability throughout the RM partners network across multiple tumour types

Open Date: 2024-07-01

Close Date: 2025-12-01

Grant: Close

Improving imaging in mesothelioma

Open Date: 2024-04-01

Close Date: 2025-03-01

Grant: Close

Towards effective ultrasound-based tools for detection and monitoring of liver steatosis

Open Date: 2023-06-01

Close Date: 2024-05-01

Articles (20)

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Collaborators (13)

Brandon Whitcher

University of Westminster

UNITED KINGDOM

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Francesca Castagnoli

Royal Marsden Hospital Sutton

UNITED KINGDOM

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Martin Kaiser

Professor of Haematology

The Institute of Cancer Research & The Royal Marsden NHS Foundation Trust

UNITED KINGDOM

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Guy Pratt

Professor of Haematology

University of Birmingham

UNITED KINGDOM

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Gordon Cook

University of Leeds

UNITED KINGDOM

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Spencer A. Thomas

National Physical Laboratory

UNITED KINGDOM

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Matthew Blackledge

Career Development Faculty

Institute of Cancer Research

UNITED KINGDOM

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Dow-Mu Koh

Professor in Functional Cancer Imaging

Royal Marsden Hospital Sutton

UNITED KINGDOM

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Savannah Partridge

Professor

University of Washington

UNITED STATES

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Virendra Mishra

Associate Professor

The University of Alabama

UNITED STATES

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Sarah Brown

University of Leeds

UNITED KINGDOM

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Owen White

Institute of Cancer Research

UNITED KINGDOM

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Matt Hall

University College London

UNITED KINGDOM

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Jessica Winfield

Research Interests

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Recent Grants

Articles (20)

AI-derived whole-body MRI metrics in patients with multiple myeloma reveal unique insights into body composition and outcomes

Patient-Specific Biases in Fat Fraction Estimates of Malignant Bone Marrow due to Relaxation Times Measured With STEAM at 3T.

Serial T1 and T2 measurements of metastatic bone lesions in prostate cancer patients: MR fingerprinting vs conventional MRI.

Quantitative image quality metrics enable resource-efficient quality control of clinically applied AI-based reconstructions in MRI

An open-source repository-based tool for quality control of imaging protocol compliance: demonstration in a multicentre MRI study.

Whole body MRI by MY-RADS for imaging response assessment in multiple myeloma.

Domain-Adaptive and Per-Fraction Guided Deep Learning Framework for Magnetic Resonance Imaging-Based Segmentation of Organs at Risk in Gynecologic Cancers

AI-augmented reconstruction provides improved image quality and enables shorter breath-holds in contrast-enhanced liver MRI

Qualitative and quantitative assessment of accelerated liver diffusion-weighted imaging using deep-learning reconstruction in oncologic patients.

Influence of imaging method on fat fraction estimation for assessing bone marrow in metastatic prostate cancer.

Multiparametric magnetic resonance imaging for radiotherapy response evaluation in high-risk soft tissue sarcoma: A pilot study.

Robotic MRI/CT Guided Multiregional 'smart' Biopsy for Characterization of Tumor Heterogeneity: A Prospective Development Study.

AI-accelerated T2-weighted TSE imaging of the rectum demonstrates excellent image quality with reduced acquisition time

The QIBA Profile for Diffusion-Weighted MRI: Apparent Diffusion Coefficient as a Quantitative Imaging Biomarker

Evaluation of simultaneous multi-slice acquisition with advanced processing for free-breathing diffusion-weighted imaging in patients with liver metastasis

A scan-specific quality control acquisition for clinical whole-body (WB) MRI protocols.

Curation of myeloma observational study MALIMAR using XNAT: solving the challenges posed by real-world data.

Deep Learning Framework with Multi-Head Dilated Encoders for Enhanced Segmentation of Cervical Cancer on Multiparametric Magnetic Resonance Imaging

Image quality in whole-body MRI using the MY-RADS protocol in a prospective multi-centre multiple myeloma study.

Optimisation of b-values for the accurate estimation of the apparent diffusion coefficient (ADC) in whole-body diffusion-weighted MRI in patients with metastatic melanoma.

Collaborators (13)

Brandon Whitcher

Francesca Castagnoli

Martin Kaiser

Guy Pratt

Gordon Cook

Spencer A. Thomas

Matthew Blackledge

Dow-Mu Koh

Savannah Partridge

Virendra Mishra

Sarah Brown

Owen White

Matt Hall

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