Zobrazeno 1 - 10
of 199
pro vyhledávání: '"Sangers,A."'
Deep learning based computer vision models are increasingly used by urban planners to support decision making for shaping urban environments. Such models predict how people perceive the urban environment quality in terms of e.g. its safety or beauty.
Externí odkaz:
http://arxiv.org/abs/2208.13555
Autor:
Xianjing Liu, Tobias E. Sangers, Tamar Nijsten, Manfred Kayser, Luba M. Pardo, Eppo B. Wolvius, Gennady V. Roshchupkin, Marlies Wakkee
Publikováno v:
EClinicalMedicine, Vol 71, Iss , Pp 102550- (2024)
Summary: Background: Efficient identification of individuals at high risk of skin cancer is crucial for implementing personalized screening strategies and subsequent care. While Artificial Intelligence holds promising potential for predictive analysi
Externí odkaz:
https://doaj.org/article/62c4a4a0cee14b079735548b4e488e3b
Autor:
Liu, Xianjing, Sangers, Tobias E., Nijsten, Tamar, Kayser, Manfred, Pardo, Luba M., Wolvius, Eppo B., Roshchupkin, Gennady V., Wakkee, Marlies
Publikováno v:
In eClinicalMedicine May 2024 71
4D‐STEM Nanoscale Strain Analysis in van der Waals Materials: Advancing beyond Planar Configurations
Publikováno v:
Small Science, Vol 4, Iss 3, Pp n/a-n/a (2024)
Achieving nanoscale strain fields mapping in intricate van der Waals (vdW) nanostructures, like twisted flakes and nanorods, presents several challenges due to their complex geometry, small size, and sensitivity limitations. Understanding these strai
Externí odkaz:
https://doaj.org/article/9efe00e046fa4bfba1eb6bedd882520a
Autor:
Anna M. Smak Gregoor, Tobias E. Sangers, Lytske J. Bakker, Loes Hollestein, Carin A. Uyl – de Groot, Tamar Nijsten, Marlies Wakkee
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-8 (2023)
Abstract Artificial intelligence (AI) based algorithms for classification of suspicious skin lesions have been implemented in mobile phone apps (mHealth), but their effect on healthcare systems is undocumented. In 2019, a large Dutch health insurance
Externí odkaz:
https://doaj.org/article/b94b3b48fe434d1b8be9fee3709df98c
Autor:
Shannon Wongvibulsin, Tobias Sangers, Claire Clibborn, Yu-Chuan (Jack) Li, Nikhil Sharma, John E.A. Common, Nick J. Reynolds, Reiko J. Tanaka
Publikováno v:
JID Innovations, Vol 4, Iss 1, Pp 100236- (2024)
Externí odkaz:
https://doaj.org/article/e8c4ffcac23e495eb3518eeda5867422
Autor:
Smak Gregoor, Anna M., Sangers, Tobias E., Eekhof, Just AH., Howe, Sydney, Revelman, Jeroen, Litjens, Romy JM., Sarac, Mohammed, Bindels, Patrick JE., Bonten, Tobias, Wehrens, Rik, Wakkee, Marlies
Publikováno v:
In eClinicalMedicine June 2023 60
Autor:
Anna M. Smak Gregoor, Tobias E. Sangers, Just AH. Eekhof, Sydney Howe, Jeroen Revelman, Romy JM. Litjens, Mohammed Sarac, Patrick JE. Bindels, Tobias Bonten, Rik Wehrens, Marlies Wakkee
Publikováno v:
EClinicalMedicine, Vol 60, Iss , Pp 102019- (2023)
Summary: Background: Artificial intelligence (AI)-based mobile phone apps (mHealth) have the potential to streamline care for suspicious skin lesions in primary care. This study aims to investigate the conditions and feasibility of a study that incor
Externí odkaz:
https://doaj.org/article/8383c0db4ebd4b28b2a693481f751056
Publikováno v:
Dutch Journal of Applied Linguistics, Vol 11 (2022)
Voice elements are those elements of educational texts that authors use to interact with students, such as questions, evaluations, or direct address forms (“you”). These elements are intended to enhance students’ engagement and comprehension, b
Externí odkaz:
https://doaj.org/article/608a7955600b40699eea6b3f01e67ce7
Autor:
Marie Beth van Egmond, Gabriele Spini, Onno van der Galien, Arne IJpma, Thijs Veugen, Wessel Kraaij, Alex Sangers, Thomas Rooijakkers, Peter Langenkamp, Bart Kamphorst, Natasja van de L’Isle, Milena Kooij-Janic
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-16 (2021)
Abstract Background Recent developments in machine learning have shown its potential impact for clinical use such as risk prediction, prognosis, and treatment selection. However, relevant data are often scattered across different stakeholders and the
Externí odkaz:
https://doaj.org/article/8b263a8d1f5744b1a5839a1725efb851