Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Stephen J. McKenna"'
Autor:
Alina Littek, Stephen J. McKenna, Wei Xiong Chiam, Elena F. Kranioti, Emanuele Trucco, Julieta G. García-Donas
Publikováno v:
Biology, Vol 12, Iss 4, p 619 (2023)
Cortical bone microstructure assessment in biological and forensic anthropology can assist with the estimation of age-at-death and animal-human differentiation, for example. Osteonal structures within cortical bone are the key feature under analysis,
Externí odkaz:
https://doaj.org/article/85dda0faeae545bf84eecad5fcd462ac
Publikováno v:
IEEE Access, Vol 6, Pp 37493-37505 (2018)
Continuous detection of social interactions from wearable sensor data streams has a range of potential applications in domains, including health and social care, security, and assistive technology. We contribute an annotated, multimodal data set capt
Externí odkaz:
https://doaj.org/article/831129b0688e48c3a08fb1d7f4db67cf
Publikováno v:
IEEE Access, Vol 9, Pp 146281-146295 (2021)
Electricity networks are critical infrastructure, delivering vital energy services. Due to the significant number, variety and distribution of electrical network overhead line assets, energy network operators spend millions annually on inspection and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c75eedccf82f1688d7d3c915559e8eea
https://doi.org/10.1109/access.2021.3123158
https://doi.org/10.1109/access.2021.3123158
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 17:1005-1016
Several advantages would arise from the automated detection of pathologies of pig carcasses, including avoidance of the inherent risks of subjectivity and variability between human observers. Here, we develop a novel automated classification of two p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::246d7f35de5275ebdc8f11e4ef2ac39a
https://doi.org/10.1109/tase.2019.2960106
https://doi.org/10.1109/tase.2019.2960106
Publikováno v:
Brain Imaging and Behavior
Decoding how intelligence is engrained in the human brain construct is vital in the understanding of particular neurological disorders. While the majority of existing studies focus on characterizing intelligence in neurotypical (NT) brains, investiga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fafed74aa8748ad5371fb2010cddfd72
https://doi.org/10.1007/s11682-019-00111-w
https://doi.org/10.1007/s11682-019-00111-w
Publikováno v:
ISBI
Digital pathology tasks have benefited greatly from modern deep learning algorithms. However, their need for large quantities of annotated data has been identified as a key challenge. This need for data can be countered by using unsupervised learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9120a2dc8bcb45b880a33903444d1453
https://doi.org/10.1109/isbi48211.2021.9434140
https://doi.org/10.1109/isbi48211.2021.9434140
Autor:
Stephen J. McKenna, Tamas Suveges
Publikováno v:
ICPR
Deep convolutional neural networks are widely used to learn feature spaces for image classification tasks. We propose cam-softmax, a generalisation of the final layer activations and softmax function, that encourages deep feature spaces to exhibit hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7f85b8c8f9f502225bee3c4ffa36057
https://doi.org/10.1109/icpr48806.2021.9412895
https://doi.org/10.1109/icpr48806.2021.9412895
Autor:
Colin Fleming, Tamas Suveges, Emanuele Trucco, Stephen J. McKenna, Stephen Hogg, Charlotte M. Proby, Jacob Carse
Publikováno v:
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis ISBN: 9783030877347
UNSURE/PIPPI@MICCAI
UNSURE/PIPPI@MICCAI
Automated image analysis of skin lesions has potential to improve diagnostic decision making. A clinically useful system should be selective, rejecting images it is ill-equipped to classify, for example because they are of lesion types not represente
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3faf25bfa9bef963b4f7f499ba0c8202
https://doi.org/10.1007/978-3-030-87735-4_11
https://doi.org/10.1007/978-3-030-87735-4_11
Autor:
Stephen J. McKenna, Tamas Suveges
Publikováno v:
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687953
ICPR Workshops (3)
ICPR Workshops (3)
We consider unsupervised learning of semantic, user-specific maps from first-person video. The task we address can be thought of as a semantic, non-geometric form of simultaneous localisation and mapping, differing in significant ways from formulatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c95c0fa500f43cd95340e45fe631fe0
https://doi.org/10.1007/978-3-030-68796-0_25
https://doi.org/10.1007/978-3-030-68796-0_25
Autor:
John M. Lucocq, Thanasis Tsiaras, Yvonne Giesecke, Mohammed Althobaiti, Tamas Suveges, James Lucocq, Katarzyna Mackinnon, Madeline Ward, Stephen J. McKenna, Samuel Soete
Publikováno v:
International Journal of Molecular Sciences
Volume 21
Issue 17
International Journal of Molecular Sciences, Vol 21, Iss 6373, p 6373 (2020)
Volume 21
Issue 17
International Journal of Molecular Sciences, Vol 21, Iss 6373, p 6373 (2020)
Plasma lipoproteins are important carriers of cholesterol and have been linked strongly to cardiovascular disease (CVD). Our study aimed to achieve fine-grained measurements of lipoprotein subpopulations such as low-density lipoprotein (LDL), lipopro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b29d8e6263bf76730b18b26dc71b653
https://www.mdpi.com/journal/ijms/sections/Pathology_Diagnostics_Therapeutics
https://www.mdpi.com/journal/ijms/sections/Pathology_Diagnostics_Therapeutics