Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Guilhem, Emily"'
Autor:
Wood, David A., Guilhem, Emily, Kafiabadi, Sina, Busaidi, Ayisha Al, Dissanayake, Kishan, Hammam, Ahmed, Mansoor, Nina, Townend, Matthew, Agarwal, Siddharth, Wei, Yiran, Mazumder, Asif, Barker, Gareth J., Sasieni, Peter, Ourselin, Sebastien, Cole, James H., Booth, Thomas C.
Artificial neural networks trained on large, expert-labelled datasets are considered state-of-the-art for a range of medical image recognition tasks. However, categorically labelled datasets are time-consuming to generate and constrain classification
Externí odkaz:
http://arxiv.org/abs/2405.02782
Autor:
Wood, David A., Kafiabadi, Sina, Busaidi, Ayisha Al, Guilhem, Emily, Montvila, Antanas, Agarwal, Siddharth, Lynch, Jeremy, Townend, Matthew, Barker, Gareth, Ourselin, Sebastien, Cole, James H., Booth, Thomas C.
The growing demand for head magnetic resonance imaging (MRI) examinations, along with a global shortage of radiologists, has led to an increase in the time taken to report head MRI scans around the world. For many neurological conditions, this delay
Externí odkaz:
http://arxiv.org/abs/2106.08176
Autor:
Wood, David A., Kafiabadi, Sina, Busaidi, Aisha Al, Guilhem, Emily, Lynch, Jeremy, Townend, Matthew, Montvila, Antanas, Siddiqui, Juveria, Gadapa, Naveen, Benger, Matthew, Barker, Gareth, Ourselin, Sebastian, Cole, James H., Booth, Thomas C.
Natural language processing (NLP) shows promise as a means to automate the labelling of hospital-scale neuroradiology magnetic resonance imaging (MRI) datasets for computer vision applications. To date, however, there has been no thorough investigati
Externí odkaz:
http://arxiv.org/abs/2007.04226
Autor:
Wood, David A., Lynch, Jeremy, Kafiabadi, Sina, Guilhem, Emily, Busaidi, Aisha Al, Montvila, Antanas, Varsavsky, Thomas, Siddiqui, Juveria, Gadapa, Naveen, Townend, Matthew, Kiik, Martin, Patel, Keena, Barker, Gareth, Ourselin, Sebastian, Cole, James H., Booth, Thomas C.
Labelling large datasets for training high-capacity neural networks is a major obstacle to the development of deep learning-based medical imaging applications. Here we present a transformer-based network for magnetic resonance imaging (MRI) radiology
Externí odkaz:
http://arxiv.org/abs/2002.06588
Autor:
Wood, David A., Kafiabadi, Sina, Busaidi, Ayisha Al, Guilhem, Emily, Montvila, Antanas, Lynch, Jeremy, Townend, Matthew, Agarwal, Siddharth, Mazumder, Asif, Barker, Gareth J., Ourselin, Sebastien, Cole, James H., Booth, Thomas C.
Publikováno v:
In NeuroImage 1 April 2022 249
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Akademický článek
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Autor:
Benger, Matthew, Wood, David A., Kafiabadi, Sina, Al Busaidi, Aisha, Guilhem, Emily, Lynch, Jeremy, Townend, Matthew, Montvila, Antanas, Siddiqui, Juveria, Gadapa, Naveen, Barker, Gareth, Ourselin, Sebastian, Cole, James H., Booth, Thomas C.
Publikováno v:
Frontiers in Radiology; 2023, p1-7, 7p
Autor:
Wood, David A., Kafiabadi, Sina, Busaidi, Ayisha Al, Guilhem, Emily, Montvila, Antanas, Agarwal, Siddharth, Lynch, Jeremy, Townend, Matthew, Barker, Gareth, Ourselin, Sebastien, Cole, James H., Booth, Thomas C.
Publikováno v:
Wood, D A, Kafiabadi, S, Al Busaidi, A, Guilhem, E, Montvila, A, Agarwal, S, Lynch, J, Townend, M, Barker, G, Ourselin, S, Cole, J H & Booth, T C 2022, ' Automated triaging of head MRI examinations using convolutional neural networks ', Medical Image Analysis, vol. 78, no. 102391, pp. 813-841 . https://doi.org/10.1016/j.media.2022.102391
The growing demand for head magnetic resonance imaging (MRI) examinations, along with a global shortage of radiologists, has led to an increase in the time taken to report head MRI scans around the world. For many neurological conditions, this delay
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::273d8a15ace0091d4aecf4f2384f9139
https://kclpure.kcl.ac.uk/en/publications/a3d5d63e-5a76-4982-9028-71c20a56810e
https://kclpure.kcl.ac.uk/en/publications/a3d5d63e-5a76-4982-9028-71c20a56810e