Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Christina Fell"'
Autor:
Mahnaz Mohammadi, Christina Fell, David Morrison, Sheeba Syed, Prakash Konanahalli, Sarah Bell, Gareth Bryson, Ognjen Arandjelović, David J. Harrison, David Harris-Birtill
Publikováno v:
PLOS Digital Health, Vol 3, Iss 4 (2024)
Externí odkaz:
https://doaj.org/article/f04fb1a90d724049b030e3ac99b30a31
Autor:
Christina Fell, Mahnaz Mohammadi, David Morrison, Ognjen Arandjelović, Sheeba Syed, Prakash Konanahalli, Sarah Bell, Gareth Bryson, David J Harrison, David Harris-Birtill
Publikováno v:
PLoS ONE, Vol 18, Iss 3, p e0282577 (2023)
In this study we use artificial intelligence (AI) to categorise endometrial biopsy whole slide images (WSI) from digital pathology as either "malignant", "other or benign" or "insufficient". An endometrial biopsy is a key step in diagnosis of endomet
Externí odkaz:
https://doaj.org/article/12a3960a873c48b28ec011ad49cfb04a
Autor:
Christina Fell, Mahnaz Mohammadi, David Morrison, Ognjen Arandjelovic, Peter Caie, David Harris-Birtill
Publikováno v:
PLOS Digital Health, Vol 1, Iss 12, p e0000145 (2022)
For a method to be widely adopted in medical research or clinical practice, it needs to be reproducible so that clinicians and regulators can have confidence in its use. Machine learning and deep learning have a particular set of challenges around re
Externí odkaz:
https://doaj.org/article/844fbea4894248fc843fdccc609b6db6
Autor:
Mahnaz Mohammadi, Jessica Cooper, Ognjen Arandelović, Christina Fell, David Morrison, Sheeba Syed, Prakash Konanahalli, Sarah Bell, Gareth Bryson, David J Harrison, David Harris-Birtill
Funding: This work is supported by the Industrial Centre for AI Research in digital Diagnostics (iCAIRD) which is funded by Innovate UK on behalf of UK Research and Innovation (UKRI) [project number: 104690], and in part by Chief Scientist Office, Sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdcc61a81424791cd611e651e77052e5
https://hdl.handle.net/10023/26376
https://hdl.handle.net/10023/26376
Autor:
Christina Feller, Eduardo Martinez Del Campo, Akram M. Eraky, Andrew Montoure, Lauren Maloley, Gillian Harrison, Sang Hun Hong, Nathan T. Zwagerman
Publikováno v:
Interdisciplinary Neurosurgery, Vol 32, Iss , Pp 101747- (2023)
Introduction: The transorbital approach has emerged in recent years as a minimally invasive corridor for accessing intracranial skull base lesions. We reviewed our experience developing a multidisciplinary superior eyelid transorbital technique to fu
Externí odkaz:
https://doaj.org/article/3aa94fd746174aa886a582f54b0ba658
Autor:
Richard Sturt, Christina Fell
Publikováno v:
International Journal of Crashworthiness. 14:165-172
Roadside barriers are homologated in Europe to EN1317, which includes tests for containment (resistance to penetration by an impacting vehicle), and accident severity, measured by acceleration severity index (ASI) and theoretical head impact velocity
Autor:
Christina Fellinger, Felix Wantke, Wolfgang Hemmer, Gabriele Sesztak-Greinecker, Stefan Wöhrl
Publikováno v:
Case Reports in Medicine, Vol 2013 (2013)
The majority of immediate type adverse reactions to local anaesthetics seem to be non-IgE-mediated. We report a case of a 31-year-old woman, who developed conjunctivitis and conjunctival erythema immediately after intrauterine application of a local
Externí odkaz:
https://doaj.org/article/18cd2e1b486f4be18f656b1e46889e21