Zobrazeno 1 - 9 of 9 pro vyhledávání: '"James Harte"'
1
Akademický článek
Multi‐modal deep learning for joint prediction of otitis media and diagnostic difficulty
Autor: Josefine Vilsbøll Sundgaard, Morten Rieger Hannemose, Søren Laugesen, Peter Bray, James Harte, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen
Publikováno v: Laryngoscope Investigative Otolaryngology, Vol 9, Iss 1, Pp n/a-n/a (2024)
Abstract Objectives In this study, we propose a diagnostic model for automatic detection of otitis media based on combined input of otoscopy images and wideband tympanometry measurements. Methods We present a neural network‐based model for the join
Externí odkaz: https://doaj.org/article/e6409608e4f34e40ba8d2c39985d4d83
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2
Akademický článek
The Influence of the Type of Background Noise on Perceptual Learning of Speech in Noise
Autor: Liping Zhang, Friederike Schlaghecken, James Harte, Katherine L. Roberts
Publikováno v: Frontiers in Neuroscience, Vol 15 (2021)
ObjectivesAuditory perceptual learning studies tend to focus on the nature of the target stimuli. However, features of the background noise can also have a significant impact on the amount of benefit that participants obtain from training. This study
Externí odkaz: https://doaj.org/article/960f85bfb18746069d71a3cb47373eb3
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3
A Deep Learning Approach for Detecting Otitis Media From Wideband Tympanometry Measurements
Autor: Josefine Vilsboll Sundgaard, Peter Bray, Soren Laugesen, James Harte, Yosuke Kamide, Chiemi Tanaka, Anders Nymark Christensen, Rasmus R. Paulsen
Publikováno v: Sundgaard, J V, Bray, P, Laugesen, S, Harte, J, Kamide, Y, Tanaka, C, Christensen, A N & Paulsen, R R 2022, ' A deep learning approach for detecting otitis media from wideband tympanometry measurements ', IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 7, 9735386, pp. 2974-2982 . https://doi.org/10.1109/JBHI.2022.3159263
Objective: In this study, we propose an automatic diagnostic algorithm for detecting otitis media based on wideband tympanometry measurements. Methods: We develop a convolutional neural network for classification of otitis media based on the analysis
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c07b8a6c77b339f28efe765f7583ad1b
https://doi.org/10.1109/jbhi.2022.3159263
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4
Inter-rater reliability of the diagnosis of otitis media based on otoscopic images and wideband tympanometry measurements
Autor: Josefine Vilsbøll Sundgaard, Maria Värendh, Franziska Nordström, Yosuke Kamide, Chiemi Tanaka, James Harte, Rasmus R. Paulsen, Anders Nymark Christensen, Peter Bray, Søren Laugesen
Publikováno v: Sundgaard, J V, Värendh, M, Nordström, F, Kamide, Y, Tanaka, C, Harte, J, Paulsen, R R, Christensen, A N, Bray, P & Laugesen, S 2022, ' Inter-rater reliability of the diagnosis of otitis media based on otoscopic images and wideband tympanometry measurements ', International Journal of Pediatric Otorhinolaryngology, vol. 153, 111034 . https://doi.org/10.1016/j.ijporl.2021.111034
Objectives: This study aims to investigate the inter-rater reliability and agreement of the diagnosis of otitis media with effusion, acute otitis media, and no effusion cases based on an otoscopy image and in some cases an additional wideband tympano
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13549e0233ffb38be99d3babb8d4bfdb
https://pubmed.ncbi.nlm.nih.gov/35033784
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5
Mannose Binding Lectin Is Hydroxylated by Collagen Prolyl-4-hydroxylase and Inhibited by Some PHD Inhibitors
Autor: James Harte, Patrick H. Maxwell, Jack W. Houghton, Vijesh J. Bhute
Publikováno v: Kidney360
Background Mannose-binding lectin (MBL) is an important component of innate immune defense. MBL undergoes oligomerization to generate high mol weight (HMW) forms which act as pattern recognition molecules to detect and opsonize various microorganisms
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43122085b1bf415150d6688435f671e6
https://europepmc.org/articles/PMC8809307/
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7
Modeling human auditory evoked brainstem responses based on nonlinear cochlear processing
Autor: James Harte, Filip Munch Rønne, Torsten Dau
Publikováno v: Scopus-Elsevier
Harte, J, Rønne, F M & Dau, T 2010, Modeling human auditory evoked brainstem responses based on nonlinear cochlear processing . in Proceedings of the 20th International Congress on Acoustics . 20th International Congress on Acoustics, Sydney, Australia, 23/08/2010 .
Technical University of Denmark Orbit
The aim of this study was to accurately simulate auditory evoked potentials (AEPs) from various classical stimuli suchas clicks and tones, often used in research and clinical diagnostics. In an approach similar to Dau (2003), a modelwas developed for
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8f966db64f55813381451a241dc7dcf4
http://www.scopus.com/inward/record.url?eid=2-s2.0-84869118818&partnerID=MN8TOARS
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