Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Rasmus R Paulsen"'
Autor:
Jakob M Slipsager, Andreas H Ellegaard, Stefan L Glimberg, Rasmus R Paulsen, M Dylan Tisdall, Paul Wighton, André van der Kouwe, Lisbeth Marner, Otto M Henriksen, Ian Law, Oline V Olesen
Publikováno v:
PLoS ONE, Vol 14, Iss 4, p e0215524 (2019)
ObjectiveWe demonstrate and evaluate the first markerless motion tracker compatible with PET, MRI, and simultaneous PET/MRI systems for motion correction (MC) of brain imaging.MethodsPET and MRI compatibility is achieved by careful positioning of in-
Externí odkaz:
https://doaj.org/article/3734f063c66840028895ca50ee1b013f
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
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
Autor:
Paula López Diez, Kristine Aavild Juhl, Josefine Vilsbøll Sundgaard, Hassan Diab, Jan Margeta, François Patou, Rasmus R. Paulsen
Publikováno v:
López Diez, P, Juhl, K A, Sundgaard, J V, Diab, H, Margeta, J, Patou, F & Paulsen, R R 2022, ' Deep Reinforcement Learning for Detection of Abnormal Anatomies ', Proceedings of the Northern Lights Deep Learning Workshop, vol. 3 . https://doi.org/10.7557/18.6280
Proceedings of the Northern Lights Deep Learning Workshop; Vol. 3 (2022): Proceedings of the Northern Lights Deep Learning Workshop 2022
Proceedings of the Northern Lights Deep Learning Workshop; Vol. 3 (2022): Proceedings of the Northern Lights Deep Learning Workshop 2022
Automatic detection of abnormal anatomies or malformations of different structures of the human body is a challenging task that could provide support for clinicians in their daily practice. Compared to normative anatomies, there is a low presence of
Publikováno v:
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).
Publikováno v:
Machine Learning in Medical Imaging ISBN: 9783031210136
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ef710527c98ae428f9d14b4892b85a4
https://doi.org/10.1007/978-3-031-21014-3_43
https://doi.org/10.1007/978-3-031-21014-3_43
Autor:
Paula López Diez, Kristine Sørensen, Josefine Vilsbøll Sundgaard, Khassan Diab, Jan Margeta, François Patou, Rasmus R. Paulsen
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164361
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5599754ebbe9124a92f5fcf651071762
https://doi.org/10.1007/978-3-031-16437-8_67
https://doi.org/10.1007/978-3-031-16437-8_67
Autor:
Morten Rieger Hannemose, Josefine Vilsbøll Sundgaard, Niels Kvorning Ternov, Rasmus R. Paulsen, Anders Nymark Christensen
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031177200
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb9fb957b62903a57fa716c373e50941
https://doi.org/10.1007/978-3-031-17721-7_10
https://doi.org/10.1007/978-3-031-17721-7_10
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
Autor:
Ditte Rudå, Gudmundur Einarsson, Anne Sofie Schott Andersen, Jannik Boll Matthiassen, Christoph U. Correll, Kristian Winge, Line K. H. Clemmensen, Rasmus R. Paulsen, Anne Katrine Pagsberg, Anders Fink-Jensen
Publikováno v:
Frontiers in Neurology, Vol 11 (2021)
Frontiers in Neurology
Rudå, D, Einarsson, G, Andersen, A S S, Matthiassen, J B, Correll, C U, Winge, K, Clemmensen, L K H, Paulsen, R R, Pagsberg, A K & Fink-Jensen, A 2021, ' Exploring Movement Impairments in Patients With Parkinson's Disease Using the Microsoft Kinect Sensor: A Feasibility Study ', Frontiers in Neurology, vol. 11, 610614 . https://doi.org/10.3389/fneur.2020.610614
Rudå, D, Einarsson, G, Andersen, A S S, Matthiassen, J B, Correll, C U, Winge, K, Clemmensen, L K H, Paulsen, R R, Pagsberg, A K & Fink-Jensen, A 2021, ' Exploring Movement Impairments in Patients With Parkinson's Disease Using the Microsoft Kinect Sensor : A Feasibility Study ', Frontiers in Neurology, vol. 11, 610614 . https://doi.org/10.3389/fneur.2020.610614
Frontiers in Neurology
Rudå, D, Einarsson, G, Andersen, A S S, Matthiassen, J B, Correll, C U, Winge, K, Clemmensen, L K H, Paulsen, R R, Pagsberg, A K & Fink-Jensen, A 2021, ' Exploring Movement Impairments in Patients With Parkinson's Disease Using the Microsoft Kinect Sensor: A Feasibility Study ', Frontiers in Neurology, vol. 11, 610614 . https://doi.org/10.3389/fneur.2020.610614
Rudå, D, Einarsson, G, Andersen, A S S, Matthiassen, J B, Correll, C U, Winge, K, Clemmensen, L K H, Paulsen, R R, Pagsberg, A K & Fink-Jensen, A 2021, ' Exploring Movement Impairments in Patients With Parkinson's Disease Using the Microsoft Kinect Sensor : A Feasibility Study ', Frontiers in Neurology, vol. 11, 610614 . https://doi.org/10.3389/fneur.2020.610614
Background: Current assessments of motor symptoms in Parkinson's disease are often limited to clinical rating scales.Objectives: To develop a computer application using the Microsoft Kinect sensor to assess performance-related bradykinesia.Methods: T