Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Jon Garibaldi"'
Publikováno v:
IEEE Computational Intelligence Magazine. 17:13-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa256637e2a90bc6538537b341cb0996
https://doi.org/10.1109/mci.2022.3201805
https://doi.org/10.1109/mci.2022.3201805
Autor:
Fei-Yue Wang, Wenwen Ding, Xiao Wang, Jon Garibaldi, Siyu Teng, Rudas Imre, Cristina Olaverri-Monreal
Publikováno v:
IEEE Intelligent Systems. 37:16-22
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53192f85a6298f7b2d9157ab97235b8d
https://doi.org/10.1109/mis.2022.3167070
https://doi.org/10.1109/mis.2022.3167070
Publikováno v:
IEEE Transactions on Medical Imaging. 40:116-128
Accurately locating the fovea is a prerequisite for developing computer aided diagnosis (CAD) of retinal diseases. In colour fundus images of the retina, the fovea is a fuzzy region lacking prominent visual features and this makes it difficult to dir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76d393ba0b50c2c354742cbc1ea2028e
https://doi.org/10.1109/tmi.2020.3023254
https://doi.org/10.1109/tmi.2020.3023254
Autor:
Bolei Xu, Linlin Shen, Jingxin Liu, Ian O. Ellis, Andrew R. Green, Xianxu Hou, Jon Garibaldi, Bozhi Liu, Guoping Qiu
Publikováno v:
IEEE transactions on medical imaging. 39(6)
Deep learning approaches are widely applied to histopathological image analysis due to the impressive levels of performance achieved. However, when dealing with high-resolution histopathological images, utilizing the original image as input to the de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db9fe68791f825d6cb15230e22225bc9
https://pubmed.ncbi.nlm.nih.gov/31880545
https://pubmed.ncbi.nlm.nih.gov/31880545
Autor:
Jon Garibaldi, Ian Todd, Lucy C. Fairclough, Paddy Tighe, Kieran Ayling, Vanessa Halliday, Simon Royal, Kavita Vedhara, Aljali Hamed, Heather Buchanan
Publikováno v:
Brain, Behavior, and Immunity. 67:314-323
© 2017 Influenza vaccination is estimated to only be effective in 17–53% of older adults. Multiple patient behaviors and psychological factors have been shown to act as ‘immune modulators’ sufficient to influence vaccination outcomes. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::066d0e6e2b10272e87c5e3518750348c
https://doi.org/10.1016/j.bbi.2017.09.008
https://doi.org/10.1016/j.bbi.2017.09.008
Autor:
Paul M. Radford, Mohamed R. Hamed, Jon Garibaldi, Patrick J. Tighe, Sharon Patricia Mary Crouch, Lucy C. Fairclough, Ola H. Negm, Grazziela P. Figueredo, Ian Todd, Elizabeth M. McDermott, Steve St-Gallay, Jenna Reps, Elizabeth Drewe, Richard J. Powell, Susan E. Bainbridge
Publikováno v:
Pharmacological Research. 125:188-200
TNF Receptor Associated Periodic Syndrome (TRAPS) is an autoinflammatory disease caused by mutations in TNF Receptor 1 (TNFR1). Current therapies for TRAPS are limited and do not target the pro-inflammatory signalling pathways that are central to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bf40a79a3432fb9ed5b2ec4a6ffc5c6
https://doi.org/10.1016/j.phrs.2017.08.012
https://doi.org/10.1016/j.phrs.2017.08.012
Autor:
Bolei Xu, Xianxu Hou, Andrew R. Green, Linlin Shen, Bozhi Liu, Guoping Qiu, Jon Garibaldi, Ian O. Ellis, Jingxin Liu
Publikováno v:
ISBI
One issue with computer based histopathology image analysis is that the size of the raw image is usually very large. Taking the raw image as input to the deep learning model would be computationally expensive while resizing the raw image to low resol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::084b2109d830c3fdbc18fef2e1243e4f
http://arxiv.org/abs/1902.10946
http://arxiv.org/abs/1902.10946
Autor:
Bolei Xu, Ian O. Ellis, Jingxin Liu, Bozhi Liu, Guoping Qiu, Mohammad Ilyas, Xin Chen, Jon Garibaldi, Xianxu Hou
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030322441
MICCAI (2)
MICCAI (2)
Supervised semantic segmentation normally assumes the test data being in a similar data domain as the training data. However, in practice, the domain mismatch between the training and unseen data could lead to a significant performance drop. Obtainin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::533ead93d5e5f627fb98608ec879e2a6
https://doi.org/10.1007/978-3-030-32245-8_12
https://doi.org/10.1007/978-3-030-32245-8_12
Autor:
Guoping Qiu, Yuanhao Gong, Wenbin Zou, Chi Zheng, Andew Green, Bolei Xu, Daniele Soria, Jon Garibaldi, Jingxin Liu, Ian O. Ellis
One of the methods for stratifying different molecular classes of breast cancer is the Nottingham prognostic index plus, which uses breast cancer relevant biomarkers to stain tumor tissues prepared on tissue microarray (TMA). To determine the molecul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf52778044a83f66dced9a506821ecff
https://kar.kent.ac.uk/77395/1/Qiu2018-IEEE-TMI-Final.pdf
https://kar.kent.ac.uk/77395/1/Qiu2018-IEEE-TMI-Final.pdf
Publikováno v:
IEEE Computational Intelligence Magazine. 11:10-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb1fe4fe08a73ddcb0fe0149837bc3a7
https://doi.org/10.1109/mci.2016.2532263
https://doi.org/10.1109/mci.2016.2532263