Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Darren Walls"'
Publikováno v:
Applied Sciences, Vol 11, Iss 17, p 7814 (2021)
Obtaining meaning-rich representations of social media inputs, such as Tweets (unstructured and noisy text), from general-purpose pre-trained language models has become challenging, as these inputs typically deviate from mainstream English usage. The
Externí odkaz:
https://doaj.org/article/381b5265c02441a58f0110208e60a907
Publikováno v:
Applied Sciences
Volume 11
Issue 17
Applied Sciences, Vol 11, Iss 7814, p 7814 (2021)
Volume 11
Issue 17
Applied Sciences, Vol 11, Iss 7814, p 7814 (2021)
Obtaining meaning-rich representations of social media inputs, such as Tweets (unstructured and noisy text), from general-purpose pre-trained language models has become challenging, as these inputs typically deviate from mainstream English usage. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc227cfdda0069a962a82162d07f7c22
Publikováno v:
IJCNN
Manual and high-quality annotation of social media data has enabled companies and researchers to develop improved implementations using natural language processing. However, human text-annotation is expensive and time-consuming. Crowd-sourcing platfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15cf681eb620344837d104f0f75701ad
https://doi.org/10.1109/ijcnn52387.2021.9534335
https://doi.org/10.1109/ijcnn52387.2021.9534335
Autor:
Vivek Muthurangu, Simon Wan, Leon Menezes, Raymondo Endozo, Luke Hoy, Ashley M. Groves, Obiekezie Agu, M Rega, Darren Walls, Robert I. Shortman, John Hoath, J Steeden
Publikováno v:
European Heart Journal - Cardiovascular Imaging. 22
Funding Acknowledgements Type of funding sources: Public Institution(s). Main funding source(s): NIHR Biomedical Research Centre, University College London Hospitals. Background A number of non-invasive imaging derived parameters have been implicated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5159f01e91c5092495b36dd40cade3f1
https://doi.org/10.1093/ehjci/jeab111.072
https://doi.org/10.1093/ehjci/jeab111.072
Autor:
Shih-Hsin Chen, Kenneth Miles, Stuart A. Taylor, Balaji Ganeshan, Manuel Rodriquez, Francesco Fraioli, Simon Wan, Asim Afaq, Robert Shortman, Darren Walls, Luke Hoy, Raymond Endozo, Aman Bhargava, Matthew Hanson, Joseph Huang, Sherif Raouf, Daren Francis, Shahab Siddiqi, Tan Arulampalam, Bruce Sizer, Michael Machesney, Nicholas Reay-Jones, Sanjay Dindyal, Tony Ng, Ashley M. Groves
Publikováno v:
European Journal of Nuclear Medicine and Molecular Imaging. 49:786-787
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd8d49d1d4e102d33dfeab53b2e5eaf5
https://doi.org/10.1007/s00259-021-05546-2
https://doi.org/10.1007/s00259-021-05546-2
Autor:
Raymond Endozo, Tony Ng, Shih-hsin Chen, Kenneth A. Miles, John Hoath, Robert I. Shortman, Balaji Ganeshan, Darren Walls, Manuel Rodriguez, Ashley M. Groves, Sanjay Dindyal, Saif Khan, Simon Wan, Luke Hoy, Tan Arulampalam, Daren Francis, Aman Bhargava, Matthew Hanson, Asim Afaq, Shonit Punwani
Publikováno v:
Cancers
Volume 13
Issue 11
Cancers, Vol 13, Iss 2715, p 2715 (2021)
Volume 13
Issue 11
Cancers, Vol 13, Iss 2715, p 2715 (2021)
To assess the capability of fractional water content (FWC) texture analysis (TA) to generate biologically relevant information from routine PET/MRI acquisitions for colorectal cancer (CRC) patients. Thirty consecutive primary CRC patients (mean age 6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b37ec3b43c5c5b436591db4e5f266c9b
http://europepmc.org/articles/PMC8199380
http://europepmc.org/articles/PMC8199380
Autor:
Sherif Raouf, Stuart A. Taylor, Tony Ng, Balaji Ganeshan, Aman Bhargava, Tan Arulampalam, Nicholas Reay-Jones, Shahab Siddiqi, Bruce Sizer, Kenneth A. Miles, Raymond Endozo, Francesco Fraioli, Ashley M. Groves, Shih-hsin Chen, Michael Machesney, Darren Walls, Sanjay Dindyal, Joseph Huang, Luke Hoy, Robert Shortman, Simon Wan, Daren Francis, Asim Afaq, Manuel Rodriquez, Matthew Hanson
Publikováno v:
Eur J Nucl Med Mol Imaging
European Journal of Nuclear Medicine and Molecular Imaging
European Journal of Nuclear Medicine and Molecular Imaging
Purpose This study assesses the potential for vascular-metabolic imaging with FluoroDeoxyGlucose (FDG)–Positron Emission Tomography/Computed Tomography (PET/CT) perfusion to provide markers of prognosis specific to the site and stage of colorectal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89d9a8354957edf1e52bc3cfe0dcd166
https://pubmed.ncbi.nlm.nih.gov/34894284
https://pubmed.ncbi.nlm.nih.gov/34894284
Publikováno v:
IJCNN
Intent analysis is capturing the attention of both the industry and academia due to its commercial and noncommercial significance. The rapid growth of unstructured data of micro-blogging platforms, such as Twitter and Facebook, are amongst the import
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eef2b28517214ed8c6fba2b23b846176
https://doi.org/10.1109/ijcnn48605.2020.9207121
https://doi.org/10.1109/ijcnn48605.2020.9207121
Autor:
Hazel McCallum, Geoff Charles-Edwards, Charles Kelly, Vicky Goh, J. James Stirling, Jan van der Meulen, Nina Tunariu, Anwar R. Padhani, Andrew N. Priest, Matthew D. Blackledge, Darren Walls, Stuart A. Taylor, James P B O'Connor, Jessica M. Winfield, Anna Barnes, Andrea Rockall, Dow-Mu Koh, David J. Collins, Marc E. Miquel, Roberto Alonzi, Shonit Punwani, Glynn Coutts, Martin J. Graves, Gary Cook, R. Pearson
Publikováno v:
The British Journal of Radiology
Barnes, A, Alonzi, R, Blackedge, M, Charles-Edwards, G, Collins, D, Cook, G, Coutts, G, Goh, V J-L, Graves, M, Kelly, C, Koh, D-M, McCallum, H, Miquel, M, O'Connor, J, Padhani, A, Pearson, R, Priest, A, Rockall, A, Stirling, J, Taylor, S, Tunariu, N, Van Der Meulen, J, Walls, D, Winfield, J & Punwani, S 2017, ' UK quantitative WB-DWI technical workgroup : Consensus meeting recommendations on optimisation, quality control, processing and analysis of quantitative whole-body diffusion-weighted imaging for cancer ', British Journal of Radiology, vol. 91, no. 20170577, 20170577 . https://doi.org/10.1259/bjr.20170577
Barnes, A, Alonzi, R, Blackedge, M, Charles-Edwards, G, Collins, D, Cook, G, Coutts, G, Goh, V J-L, Graves, M, Kelly, C, Koh, D-M, McCallum, H, Miquel, M, O'Connor, J, Padhani, A, Pearson, R, Priest, A, Rockall, A, Stirling, J, Taylor, S, Tunariu, N, Van Der Meulen, J, Walls, D, Winfield, J & Punwani, S 2017, ' UK quantitative WB-DWI technical workgroup : Consensus meeting recommendations on optimisation, quality control, processing and analysis of quantitative whole-body diffusion-weighted imaging for cancer ', British Journal of Radiology, vol. 91, no. 20170577, 20170577 . https://doi.org/10.1259/bjr.20170577
OBJECTIVE:Application of whole body diffusion-weighted MRI (WB-DWI) for oncology are rapidly increasing within both research and routine clinical domains. However, WB-DWI as a quantitative imaging biomarker (QIB) has significantly slower adoption. To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac13719f6bcbc4e73ca36b26ede78bfc
https://pubmed.ncbi.nlm.nih.gov/29076749
https://pubmed.ncbi.nlm.nih.gov/29076749
Autor:
Pam Cherry, Darren Walls
Publikováno v:
Radiography. 20:171
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d17ec6620465df04e0986dfbde106179
https://doi.org/10.1016/j.radi.2014.02.004
https://doi.org/10.1016/j.radi.2014.02.004