Zobrazeno 1 - 10
of 688
pro vyhledávání: '"Siegfried K"'
Autor:
Emily J. Patterson, Alistair D. Bounds, Siegfried K. Wagner, Richard Kadri-Langford, Robin Taylor, Dan Daly
Publikováno v:
Ophthalmology and Therapy, Vol 13, Iss 6, Pp 1427-1451 (2024)
Abstract Chronic, non-communicable diseases present a major barrier to living a long and healthy life. In many cases, early diagnosis can facilitate prevention, monitoring, and treatment efforts, improving patient outcomes. There is therefore a criti
Externí odkaz:
https://doaj.org/article/cc51a3ea8e254837b9200e2e2d42ed52
Autor:
Gabriella Moraes, MD, MSc, Robbert Struyven, MD, Siegfried K. Wagner, BMBCh, FRCOphth, Timing Liu, BA, David Chong, MBBChir, Abdallah Abbas, iBSc, MBBS, Reena Chopra, BSc, Praveen J. Patel, MD, FRCOphth, Konstantinos Balaskas, MD, Tiarnan D.L. Keenan, BM BCh, PhD, Pearse A. Keane, MD, FRCOphth
Publikováno v:
Ophthalmology Science, Vol 4, Iss 6, Pp 100570- (2024)
Purpose: Application of artificial intelligence (AI) to macular OCT scans to segment and quantify volumetric change in anatomical and pathological features during intravitreal treatment for neovascular age-related macular degeneration (AMD). Design:
Externí odkaz:
https://doaj.org/article/b1e2c12e2dc24acebc470662c91f5e62
Autor:
Danli Shi, MD, PhD, Yukun Zhou, ME, Shuang He, MD, Siegfried K. Wagner, MD, PhD, Yu Huang, MD, PhD, Pearse A. Keane, MD, PhD, Daniel S.W. Ting, MD, PhD, Lei Zhang, PhD, Yingfeng Zheng, PhD, Mingguang He, MD, PhD
Publikováno v:
Ophthalmology Science, Vol 4, Iss 3, Pp 100441- (2024)
Purpose: We aim to use fundus fluorescein angiography (FFA) to label the capillaries on color fundus (CF) photographs and train a deep learning model to quantify retinal capillaries noninvasively from CF and apply it to cardiovascular disease (CVD) r
Externí odkaz:
https://doaj.org/article/6800ce92746641c7b1796f949dd6d0fb
Publikováno v:
Sensors, Vol 24, Iss 5, p 1378 (2024)
Walking speed is a significant aspect of evacuation efficiency, and this speed varies during fire emergencies due to individual physical abilities. However, in evacuations, it is not always possible to keep an upright posture, hence atypical postures
Externí odkaz:
https://doaj.org/article/17776f3106b245ff9998092327203783
Autor:
Yoga Advaith Veturi, MSc, William Woof, PhD, Teddy Lazebnik, PhD, Ismail Moghul, PhD, Peter Woodward-Court, PhD, MBBS, Siegfried K. Wagner, BMBCh, Thales Antonio Cabral de Guimarães, PhD, MD, Malena Daich Varela, PhD, MD, Bart Liefers, PhD, Praveen J. Patel, MBBChir MD(Res), Stephan Beck, PhD, Andrew R. Webster, FRCOphth, Omar Mahroo, PhD, MBBChir, Pearse A. Keane, MD, MB BCH BAO, Michel Michaelides, MD, Konstantinos Balaskas, MD, Nikolas Pontikos, PhD
Publikováno v:
Ophthalmology Science, Vol 3, Iss 2, Pp 100258- (2023)
Purpose: Rare disease diagnosis is challenging in medical image-based artificial intelligence due to a natural class imbalance in datasets, leading to biased prediction models. Inherited retinal diseases (IRDs) are a research domain that particularly
Externí odkaz:
https://doaj.org/article/12ee7796b3234e6eaea51052d9cf4f74
Autor:
Pearse A Keane, Josef Huemer, Oliver Findl, Dawn Sim, Siegfried K Wagner, Martin Kronschläger, Manuel Ruiss
Publikováno v:
BMJ Open Ophthalmology, Vol 7, Iss 1 (2022)
Objective To train and validate a code-free deep learning system (CFDLS) on classifying high-resolution digital retroillumination images of posterior capsule opacification (PCO) and to discriminate between clinically significant and non-significant P
Externí odkaz:
https://doaj.org/article/43aed0db62294952af1c7c0fabcd5f8c
Autor:
Axel Petzold, Philipp Albrecht, Laura Balcer, Erik Bekkers, Alexander U. Brandt, Peter A. Calabresi, Orla Galvin Deborah, Jennifer S. Graves, Ari Green, Pearse A Keane, Jenny A. Nij Bijvank, Josemir W. Sander, Friedemann Paul, Shiv Saidha, Pablo Villoslada, Siegfried K Wagner, E. Ann Yeh, the IMSVISUAL, ERN‐EYE Consortium
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 8, Iss 7, Pp 1528-1542 (2021)
Abstract Artificial intelligence (AI)‐based diagnostic algorithms have achieved ambitious aims through automated image pattern recognition. For neurological disorders, this includes neurodegeneration and inflammation. Scalable imaging technology fo
Externí odkaz:
https://doaj.org/article/ccdac27211654d478033fb88993a9e04
Autor:
Edward Korot, Nikolas Pontikos, Xiaoxuan Liu, Siegfried K. Wagner, Livia Faes, Josef Huemer, Konstantinos Balaskas, Alastair K. Denniston, Anthony Khawaja, Pearse A. Keane
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Deep learning may transform health care, but model development has largely been dependent on availability of advanced technical expertise. Herein we present the development of a deep learning model by clinicians without coding, which predict
Externí odkaz:
https://doaj.org/article/c79d88f9f4344e5db04de21644fcea1e
Experimental data on water vapour adsorption on silica gel in fully packed and Z-annulus packed beds
Autor:
Siegfried K. Yeboah, Jo Darkwa
Publikováno v:
Data in Brief, Vol 34, Iss , Pp 106736- (2021)
Experimental data on water vapour adsorption on silica gel in four packed bed configurations namely fully packed bed (FPB), large annulus packed bed (LAPB), medium annulus packed bed (MAPB) and small annulus packed bed (SAPB) are presented. Raw tempe
Externí odkaz:
https://doaj.org/article/f58ea0916ec047f9ae2d86ddd6e082bc
Autor:
Siegfried K. Yeboah, Jo Darkwa
Publikováno v:
Data in Brief, Vol 33, Iss , Pp 106505- (2020)
Experimental and derived data from three Helically Coiled Oscillating Heat Pipes (HCOHPs) charged with ethanol, methanol and deionized water working fluids respectively are presented. The data was obtained from prototypes of the HCOHPs fabricated out
Externí odkaz:
https://doaj.org/article/664b348045094ed6a293a7ba8fa8095f