Zobrazeno 1 - 10
of 4 895
pro vyhledávání: '"Fuglsang A"'
Communicating in noisy, multi-talker environments is challenging, especially for people with hearing impairments. Egocentric video data can potentially be used to identify a user's conversation partners, which could be used to inform selective acoust
Externí odkaz:
http://arxiv.org/abs/2406.08089
Autor:
Pham, Vi Thanh, Nielsen, Jonas Bille, Kofoed, Klaus Fuglsang, Kühl, Jørgen Tobias, Jensen, Andreas Kryger
The joint alignment of multivariate functional data plays an important role in various fields such as signal processing, neuroscience and medicine, including the statistical analysis of data from wearable devices. Traditional methods often ignore the
Externí odkaz:
http://arxiv.org/abs/2312.09422
Autor:
Masuda, Yukiteru, Ishikawa, Ryo, Tanaka, Toru, Aoyama, Gakuto, Kawashima, Keitaro, Chapman, James V., Asami, Masahiko, Pham, Michael Huy Cuong, Kofoed, Klaus Fuglsang, Sakaguchi, Takuya, Satoh, Kiyohide
Accurate extraction of mitral valve shape from clinical tomographic images acquired in patients has proven useful for planning surgical and interventional mitral valve treatments. However, manual extraction of the mitral valve shape is laborious, and
Externí odkaz:
http://arxiv.org/abs/2305.00627
Autor:
Anna B. Jacobsen, Hugh Bostock, James Howells, Bülent Cengiz, Gintaute Samusyte, Martin Koltzenburg, Hossein Pia, Anders Fuglsang‐Frederiksen, Jakob Blicher, Izabella Obál, Henning Andersen, Hatice Tankisi
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 11, Iss 7, Pp 1887-1896 (2024)
Abstract Objective There is a need for sensitive biomarkers in amyotrophic lateral sclerosis (ALS), to enable earlier diagnosis and to help assess potential treatments. The main objective of this study was to compare two potential biomarkers, thresho
Externí odkaz:
https://doaj.org/article/071fbef2b98843f8b72ce2530f44a535
Publikováno v:
Clinical Epidemiology, Vol Volume 16, Pp 319-327 (2024)
Søren Korsgaard, Frederikke Schønfeldt Troelsen, Katalin Veres, Cecilia Hvitfeldt Fuglsang, Henrik Toft Sørensen Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, DenmarkCorrespondence: Søren Korsgaard
Externí odkaz:
https://doaj.org/article/363ae3989bc648929d930b45e0ecea6f
Autor:
Sara Bønløkke, Torben Steiniche, Boe Sandahl Sorensen, Gitte‐Bettina Nyvang, Jacob Christian Lindegaard, Jan Blaakær, Jesper Bertelsen, Katrine Fuglsang, Mikael Lenz Strube, Suzan Lenz, Magnus Stougaard
Publikováno v:
Molecular Oncology, Vol 18, Iss 5, Pp 1231-1244 (2024)
For cervical cancer (CC), circulating cell‐free HPV DNA (ccfHPV) may establish disease severity. Furthermore, HPV integration has been correlated to viral load and survival. In this study, pre‐treatment plasma from 139 CC cases (50 primary surger
Externí odkaz:
https://doaj.org/article/ff0349f899b14681a67f3aa4b23c11ad
Publikováno v:
Clinical Case Reports, Vol 12, Iss 8, Pp n/a-n/a (2024)
Key Clinical Message When self‐administration with counterfeit or mislabeled medicine is suspected, comprehensive laboratory analysis should be preferred over immunoassay screening to avoid false negative results. Carisoprodol, which was formerly a
Externí odkaz:
https://doaj.org/article/5ef9abff8f6246b8b6e970a4d7f37aca
Autor:
Silke Griepke, Emilie Grupe, Jes Sanddal Lindholt, Elizabeth Hvitfeldt Fuglsang, Lasse Bach Steffensen, Hans Christian Beck, Mia Dupont Larsen, Sissel Karoline Bang-Møller, Martin Overgaard, Lars Melholt Rasmussen, Kate Lykke Lambertsen, Jane Stubbe
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
Externí odkaz:
https://doaj.org/article/6456bf763df3450b8beb7fcb825fb1b3
Autor:
Ivanka Sojat Tarp, Vicki Trier Taasti, Maria Fuglsang Jensen, Anne Vestergaard, Kenneth Jensen
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 31, Iss , Pp 100632- (2024)
Background and Purpose: The primary cause of range uncertainty in proton therapy is inaccuracy in estimating the stopping-power ratio from computed tomography. This study examined the impact on dose-volume metrics by reducing range uncertainty in rob
Externí odkaz:
https://doaj.org/article/fa12e2102b22465382b520340ca8b921
The idea of federated learning is to train deep neural network models collaboratively and share them with multiple participants without exposing their private training data to each other. This is highly attractive in the medical domain due to patient
Externí odkaz:
http://arxiv.org/abs/2204.13808