Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Josefine Vilsbøll Sundgaard"'
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:
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c271a69b4e55469a9ec91f381e5c934d
https://doi.org/10.7557/18.6280
https://doi.org/10.7557/18.6280
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13549e0233ffb38be99d3babb8d4bfdb
https://pubmed.ncbi.nlm.nih.gov/35033784
https://pubmed.ncbi.nlm.nih.gov/35033784
Facial and Cochlear Nerves Characterization Using Deep Reinforcement Learning for Landmark Detection
Autor:
Josefine Vilsbøll Sundgaard, Jan Margeta, Paula López Diez, François Patou, Rasmus Reinhold Paulsen
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872014
MICCAI (4)
MICCAI (4)
We propose a pipeline for the characterization of facial and cochlear nerves in CT scans, a task specifically relevant for cochlear implant surgery planning. These structures are hard to locate in clinical CT scans due to their small size relative to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f81f220839abb2f006bd6f46848d406
https://doi.org/10.1007/978-3-030-87202-1_50
https://doi.org/10.1007/978-3-030-87202-1_50
Autor:
Josefine Vilsbøll Sundgaard, Hasler, Hasler S. W., Duchstein, L. D. L., Wilhjelm, Jens E., Lonsdale, M. N.
Publikováno v:
Technical University of Denmark Orbit
Vilsbøll, J H, S. W. Hasler, H, Duchstein, L D L, Wilhjelm, J E & Lonsdale, M N 2017, ' Evaluation of respiratory motion correction in PET/CT using a 3D printed phantom ', EANM'17, Vienna, Austria, 21/10/2017-25/10/2017 .
Vilsbøll, J H, S. W. Hasler, H, Duchstein, L D L, Wilhjelm, J E & Lonsdale, M N 2017, ' Evaluation of respiratory motion correction in PET/CT using a 3D printed phantom ', EANM'17, Vienna, Austria, 21/10/2017-25/10/2017 .
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6c407a63a94803a06b3c9787a98b3107
https://orbit.dtu.dk/en/publications/e70050bd-f147-4808-8cf7-a1c28ebbecc9
https://orbit.dtu.dk/en/publications/e70050bd-f147-4808-8cf7-a1c28ebbecc9