Zobrazeno 1 - 10
of 59 395
pro vyhledávání: '"Søndergaard A"'
Autor:
Edmund Dain
Publikováno v:
Nordic Wittgenstein Review, Vol 13 (2024)
Review of Wittgenstein and Ethics by Anne-Marie Søndergaard Christensen
Externí odkaz:
https://doaj.org/article/8ff9cb5d68264289b2bd99ff263d8932
Autor:
Olsen, Markus Ditlev Sjøgren, Ambsdorf, Jakob, Lin, Manxi, Taksøe-Vester, Caroline, Svendsen, Morten Bo Søndergaard, Christensen, Anders Nymark, Nielsen, Mads, Tolsgaard, Martin Grønnebæk, Feragen, Aasa, Pegios, Paraskevas
Congenital malformations of the brain are among the most common fetal abnormalities that impact fetal development. Previous anomaly detection methods on ultrasound images are based on supervised learning, rely on manual annotations, and risk missing
Externí odkaz:
http://arxiv.org/abs/2408.03654
Autor:
Aryeh Neier
Publikováno v:
Human Rights Quarterly. 45:157-161
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d25c37b8eb46f3600f2805526390310c
https://doi.org/10.1353/hrq.2023.0006
https://doi.org/10.1353/hrq.2023.0006
Autor:
Wong, Chun Kit, Ngo, Mary, Lin, Manxi, Bashir, Zahra, Heen, Amihai, Svendsen, Morten Bo Søndergaard, Tolsgaard, Martin Grønnebæk, Christensen, Anders Nymark, Feragen, Aasa
Despite the rapid development of AI models in medical image analysis, their validation in real-world clinical settings remains limited. To address this, we introduce a generic framework designed for deploying image-based AI models in such settings. U
Externí odkaz:
http://arxiv.org/abs/2404.00032
Autor:
Pegios, Paraskevas, Lin, Manxi, Weng, Nina, Svendsen, Morten Bo Søndergaard, Bashir, Zahra, Bigdeli, Siavash, Christensen, Anders Nymark, Tolsgaard, Martin, Feragen, Aasa
Obstetric ultrasound image quality is crucial for accurate diagnosis and monitoring of fetal health. However, producing high-quality standard planes is difficult, influenced by the sonographer's expertise and factors like the maternal BMI or the fetu
Externí odkaz:
http://arxiv.org/abs/2403.08700
Autor:
Lin, Manxi, Weng, Nina, Mikolaj, Kamil, Bashir, Zahra, Svendsen, Morten Bo Søndergaard, Tolsgaard, Martin, Christensen, Anders Nymark, Feragen, Aasa
Shortcut learning is a phenomenon where machine learning models prioritize learning simple, potentially misleading cues from data that do not generalize well beyond the training set. While existing research primarily investigates this in the realm of
Externí odkaz:
http://arxiv.org/abs/2403.06748
Lasso-type estimators are routinely used to estimate high-dimensional time series models. The theoretical guarantees established for Lasso typically require the penalty level to be chosen in a suitable fashion often depending on unknown population qu
Externí odkaz:
http://arxiv.org/abs/2403.06657
Autor:
Lin, Manxi, Ambsdorf, Jakob, Sejer, Emilie Pi Fogtmann, Bashir, Zahra, Wong, Chun Kit, Pegios, Paraskevas, Raheli, Alberto, Svendsen, Morten Bo Søndergaard, Nielsen, Mads, Tolsgaard, Martin Grønnebæk, Christensen, Anders Nymark, Feragen, Aasa
We introduce the notion of semantic image quality for applications where image quality relies on semantic requirements. Working in fetal ultrasound, where ranking is challenging and annotations are noisy, we design a robust coarse-to-fine model that
Externí odkaz:
http://arxiv.org/abs/2402.08294
Akademický článek
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Autor:
Louise Brygger Venø, Line Bjørnskov Pedersen, Jens Søndergaard, Ruth Kirk Ertmann, Dorte Ejg Jarbøl
Publikováno v:
Scandinavian Journal of Primary Health Care, Pp 1-11 (2024)
Background Pregnancy vulnerability contributes to poor perinatal mental health. Proper cross-sectoral collaboration may mitigate perinatal mental health problems. General practitioners (GPs) often face barriers when assessing pregnancy vulnerability,
Externí odkaz:
https://doaj.org/article/eacd36ba1e1d4fb2b946fcfedc508e7f