Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Jessica M, Winfield"'
Autor:
Simon J. Doran, Theo Barfoot, Linda Wedlake, Jessica M. Winfield, James Petts, Ben Glocker, Xingfeng Li, Martin Leach, Martin Kaiser, Tara D. Barwick, Aristeidis Chaidos, Laura Satchwell, Neil Soneji, Khalil Elgendy, Alexander Sheeka, Kathryn Wallitt, Dow-Mu Koh, Christina Messiou, Andrea Rockall
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Objectives MAchine Learning In MyelomA Response (MALIMAR) is an observational clinical study combining “real-world” and clinical trial data, both retrospective and prospective. Images were acquired on three MRI scanners over a 10-year wi
Externí odkaz:
https://doaj.org/article/e3e19c56ad064f76a98af16a0519cd4d
Autor:
Sam Keaveney, Alina Dragan, Mihaela Rata, Matthew Blackledge, Erica Scurr, Jessica M. Winfield, Joshua Shur, Dow-Mu Koh, Nuria Porta, Antonio Candito, Alexander King, Winston Rennie, Suchi Gaba, Priya Suresh, Paul Malcolm, Amy Davis, Anjumara Nilak, Aarti Shah, Sanjay Gandhi, Mauro Albrizio, Arnold Drury, Guy Pratt, Gordon Cook, Sadie Roberts, Matthew Jenner, Sarah Brown, Martin Kaiser, Christina Messiou
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-14 (2023)
Abstract Background The Myeloma Response Assessment and Diagnosis System (MY-RADS) guidelines establish a standardised acquisition and analysis pipeline for whole-body MRI (WB-MRI) in patients with myeloma. This is the first study to assess image qua
Externí odkaz:
https://doaj.org/article/6e65c366b56d454d831d89851e12e0aa
Autor:
Edward W. Johnston, Nicos Fotiadis, Craig Cummings, Jodie Basso, Toby Tyne, Joost Lameijer, Christina Messiou, Dow-Mu Koh, Jessica M. Winfield
Publikováno v:
European Radiology Experimental, Vol 6, Iss 1, Pp 1-10 (2022)
Abstract Background Magnetic resonance imaging (MRI) can be used to target tumour components in biopsy procedures, while the ability to precisely correlate histology and MRI signal is crucial for imaging biomarker validation. Robotic MRI/computed tom
Externí odkaz:
https://doaj.org/article/d97a2beb6c2d4574948816884325da0a
Autor:
Reza Kalantar, Sebastian Curcean, Jessica M. Winfield, Gigin Lin, Christina Messiou, Matthew D. Blackledge, Dow-Mu Koh
Publikováno v:
Diagnostics, Vol 13, Iss 21, p 3381 (2023)
T2-weighted magnetic resonance imaging (MRI) and diffusion-weighted imaging (DWI) are essential components of cervical cancer diagnosis. However, combining these channels for the training of deep learning models is challenging due to image misalignme
Externí odkaz:
https://doaj.org/article/4c228a82d5aa48caa2201012a578f2ba
Autor:
Mihaela Rata, Khurum Khan, David J Collins, Dow-Mu Koh, Nina Tunariu, Maria Antonietta Bali, James d’Arcy, Jessica M Winfield, Simona Picchia, Nicola Valeri, Ian Chau, David Cunningham, Matteo Fassan, Martin O Leach, Matthew R Orton
Publikováno v:
Cancer Imaging, Vol 21, Iss 1, Pp 1-12 (2021)
Abstract Background Diffusion weighted imaging (DWI) with intravoxel incoherent motion (IVIM) modelling can inform on tissue perfusion without exogenous contrast administration. Dynamic-contrast-enhanced (DCE) MRI can also characterise tissue perfusi
Externí odkaz:
https://doaj.org/article/54d6e0e5e80f43fc874ccfe2a6ae6ee5
Autor:
Amani Arthur, Edward W. Johnston, Jessica M. Winfield, Matthew D. Blackledge, Robin L. Jones, Paul H. Huang, Christina Messiou
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
A shift in radiology to a data-driven specialty has been unlocked by synergistic developments in imaging biomarkers (IB) and computational science. This is advancing the capability to deliver “virtual biopsies” within oncology. The ability to non
Externí odkaz:
https://doaj.org/article/3806728772e24bec9b7a8f905126e540
Autor:
Imogen Thrussell, Jessica M. Winfield, Matthew R. Orton, Aisha B. Miah, Shane H. Zaidi, Amani Arthur, Khin Thway, Dirk C. Strauss, David J. Collins, Dow-Mu Koh, Uwe Oelfke, Paul H. Huang, James P. B. O’Connor, Christina Messiou, Matthew D. Blackledge
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
BackgroundSize-based assessments are inaccurate indicators of tumor response in soft-tissue sarcoma (STS), motivating the requirement for new response imaging biomarkers for this rare and heterogeneous disease. In this study, we assess the test–ret
Externí odkaz:
https://doaj.org/article/a7683e70ad334fd4b541a7916f588e86
Autor:
Reza Kalantar, Christina Messiou, Jessica M. Winfield, Alexandra Renn, Arash Latifoltojar, Kate Downey, Aslam Sohaib, Susan Lalondrelle, Dow-Mu Koh, Matthew D. Blackledge
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
BackgroundComputed tomography (CT) and magnetic resonance imaging (MRI) are the mainstay imaging modalities in radiotherapy planning. In MR-Linac treatment, manual annotation of organs-at-risk (OARs) and clinical volumes requires a significant clinic
Externí odkaz:
https://doaj.org/article/d9baf0dead95428da0d750c89b9f914d
Autor:
Annemarie K. Knill, Matthew D. Blackledge, Andra Curcean, James Larkin, Samra Turajlic, Angela Riddell, Dow Mu Koh, Christina Messiou, Jessica M. Winfield
Publikováno v:
European Radiology. 33:863-871
Objective To establish optimised diffusion weightings (‘b-values’) for acquisition of whole-body diffusion-weighted MRI (WB-DWI) for estimation of the apparent diffusion coefficient (ADC) in patients with metastatic melanoma (MM). Existing recomm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39f0fd37059ebb77705eab52076c6372
https://doi.org/10.1007/s00330-022-09088-5
https://doi.org/10.1007/s00330-022-09088-5
Autor:
Reza Kalantar, Gigin Lin, Jessica M. Winfield, Christina Messiou, Susan Lalondrelle, Matthew D. Blackledge, Dow-Mu Koh
Publikováno v:
Diagnostics, Vol 11, Iss 11, p 1964 (2021)
The recent rise of deep learning (DL) and its promising capabilities in capturing non-explicit detail from large datasets have attracted substantial research attention in the field of medical image processing. DL provides grounds for technological de
Externí odkaz:
https://doaj.org/article/7aff8e47b4f149db9b8f67a8f0fb6c4f