Zobrazeno 1 - 10
of 1 282
pro vyhledávání: '"Sahlin, P."'
Autor:
Karlsson, Jennie, Wodrich, Marisa, Overgaard, Niels Christian, Sahlin, Freja, Lång, Kristina, Heyden, Anders, Arvidsson, Ida
Deep learning has shown to have great potential in medical applications. In critical domains as such, it is of high interest to have trustworthy algorithms which are able to tell when reliable assessments cannot be guaranteed. Detecting out-of-distri
Externí odkaz:
http://arxiv.org/abs/2402.18960
Autor:
Valentina Pampanini, Lena Sahlin, Elina Holopainen, Mervi Taskinen, Mikael Koskela, Kim Vettenranta, Jaana Vettenranta, Tiina Laine, Claudia Anderson, Kirsi Jahnukainen
Publikováno v:
European Thyroid Journal, Vol 5, Iss 4, Pp 1-9 (2024)
The aim of this study was to identify pitfalls in ovarian tissue cryopreservation protocol from referral to surgical procedures and to analyze factors associated with chemotherapy exposure of the cryopreserved tissue and decreased ovarian function in
Externí odkaz:
https://doaj.org/article/cae73e0c241e4887bb2400910d9f4d73
Autor:
Anders Blomberg, Eva Lindberg, Christer Janson, Karl Franklin, Andrei Malinovschi, Ludger Grote, Mirjam Ljunggren, J Theorell-Haglöw, Jan Hedner, Baz Delshad, Xing Wu Zhou, Ding Zou, Carlin Sahlin
Publikováno v:
BMJ Open, Vol 14, Iss 11 (2024)
Background OSA is highly prevalent and characterised by abnormal respiration during sleep. This large, population-based study aimed to investigate the associations between OSA and lung function in subjects aged 50–64 years.Method The population-bas
Externí odkaz:
https://doaj.org/article/49574c7144c6409fb07a0df01efb0c21
Autor:
Olivia Ojala, Hugo Hesser, Kim L. Gratz, Matthew T. Tull, Erik Hedman‐Lagerlöf, Hanna Sahlin, Brjánn Ljótsson, Clara Hellner, Johan Bjureberg
Publikováno v:
JCPP Advances, Vol 4, Iss 3, Pp n/a-n/a (2024)
Abstract Background Despite the wide‐ranging negative consequences of nonsuicidal self‐injury (NSSI), there are few evidence‐based treatments for NSSI among adolescents and little is known about what treatments that work best for whom. The obje
Externí odkaz:
https://doaj.org/article/4a7688079f79432393710d73eb9015af
Autor:
Gunnar Sahlin
Publikováno v:
Knygotyra, Vol 27, Iss 20 (2024)
Externí odkaz:
https://doaj.org/article/330c30d64d0b4dd69273e46de8bbe856
Publikováno v:
Computational Statistics & Data Analysis 176 (2022) 107558
Bayesian inference under a set of priors, called robust Bayesian analysis, allows for estimation of parameters within a model and quantification of epistemic uncertainty in quantities of interest by bounded (or imprecise) probability. Iterative impor
Externí odkaz:
http://arxiv.org/abs/2206.08728
Meta-analysis is a statistical method used in evidence synthesis for combining, analyzing and summarizing studies that have the same target endpoint and aims to derive a pooled quantitative estimate using fixed and random effects models or network mo
Externí odkaz:
http://arxiv.org/abs/2204.10645
1. Challenging calibration of complex models can be approached by using prior knowledge on the parameters. However, the natural choice of Bayesian inference can be computationally heavy when relying on Markov Chain Monte Carlo (MCMC) sampling. When t
Externí odkaz:
http://arxiv.org/abs/2204.03287
Autor:
Pettersen, Henrik Sahlin, Belevich, Ilya, Røyset, Elin Synnøve, Smistad, Erik, Jokitalo, Eija, Reinertsen, Ingerid, Bakke, Ingunn, Pedersen, André
Application of deep learning on histopathological whole slide images (WSIs) holds promise of improving diagnostic efficiency and reproducibility but is largely dependent on the ability to write computer code or purchase commercial solutions. We prese
Externí odkaz:
http://arxiv.org/abs/2111.08430
Autor:
Anna L David, Mats Johansson, Magnus Westgren, Belinda Crowe, Dick Oepkes, Melissa Hill, Lyn S Chitty, Catherine DeVile, Peter Lindgren, Eva Åström, Cecilia Götherström, Nils-Eric Sahlin, Rachel L Sagar, Annabelle Forsmark, Vera Franzen, Göran Hermeren, Caroline Lindemans, Wouter Nijhuis, Mirko Rehberg, Ralph Sakkers, O Semler, Mikael Sundin, Lilian Walther-Jallow, E J T Joanne Verweij
Publikováno v:
BMJ Open, Vol 14, Iss 6 (2024)
Introduction Severe osteogenesis imperfecta (OI) is a debilitating disease with no cure or sufficiently effective treatment. Mesenchymal stem cells (MSCs) have good safety profile, show promising effects and can form bone. The Boost Brittle Bones Bef
Externí odkaz:
https://doaj.org/article/582a3f441343419db9a89157809ffc1c