Zobrazeno 1 - 10
of 268
pro vyhledávání: '"P. Sijtsema"'
Autor:
Mol, Frank N., van der Hoek, Luuk, Ma, Baoqiang, Nagam, Bharath Chowdhary, Sijtsema, Nanna M., van Dijk, Lisanne V., Bunte, Kerstin, Vlijm, Rifka, van Ooijen, Peter M. A.
The superior soft tissue differentiation provided by MRI may enable more accurate tumor segmentation compared to CT and PET, potentially enhancing adaptive radiotherapy treatment planning. The Head and Neck Tumor Segmentation for MR-Guided Applicatio
Externí odkaz:
http://arxiv.org/abs/2412.06610
In this paper, we delve into the susceptibility of federated medical image analysis systems to adversarial attacks. Our analysis uncovers a novel exploitation avenue: using gradient information from prior global model updates, adversaries can enhance
Externí odkaz:
http://arxiv.org/abs/2310.13893
Optimization-based regularization methods have been effective in addressing the challenges posed by data heterogeneity in medical federated learning, particularly in improving the performance of underrepresented clients. However, these methods often
Externí odkaz:
http://arxiv.org/abs/2310.09444
This paper explores the security aspects of federated learning applications in medical image analysis. Current robustness-oriented methods like adversarial training, secure aggregation, and homomorphic encryption often risk privacy compromises. The c
Externí odkaz:
http://arxiv.org/abs/2310.08681
Federated learning offers a privacy-preserving framework for medical image analysis but exposes the system to adversarial attacks. This paper aims to evaluate the vulnerabilities of federated learning networks in medical image analysis against such a
Externí odkaz:
http://arxiv.org/abs/2310.06227
Publikováno v:
JPRAS Open, Vol 42, Iss , Pp 58-80 (2024)
Background: Robin sequence (RS) is characterized by micrognathia, glossoptosis, and upper airway obstruction, and is often combined with a cleft palate. It is unclear whether RS negatively impacts the development of velopharyngeal incompetence (VPI)
Externí odkaz:
https://doaj.org/article/745ba00f3d0a49dfbc7d0a0cc4b5f224
Deep learning is effective in diagnosing COVID-19 and requires a large amount of data to be effectively trained. Due to data and privacy regulations, hospitals generally have no access to data from other hospitals. Federated learning (FL) has been us
Externí odkaz:
http://arxiv.org/abs/2303.16141
Autor:
Johan Lagerkvist, Petra Bosch-Sijtsema, Ola Lӕdre, Mats Karlsson, Peter Simonsson, Rasmus Rempling
Publikováno v:
Journal of Civil Engineering and Management (2024)
An increase in productivity is necessary to reduce economic costs in bridge projects. Previous research indicates that construction productivity has decreased since the 1960s. A quantitative study was performed to find out how the incentives of the t
Externí odkaz:
https://doaj.org/article/d44ea876f6154fc9845e825119b49c70
Publikováno v:
Project Leadership and Society, Vol 5, Iss , Pp 100117- (2024)
The implementation of collaborative project delivery models introduces new ways of working, changing processes and behaviours, and influencing network structures, especially in major inter-organisational projects. The ongoing standardisation thereof
Externí odkaz:
https://doaj.org/article/b021faa63f35462c89b98c83974d2dc7
Autor:
De Biase, Alessia, Sijtsema, Nanna Maria, van Dijk, Lisanne, Langendijk, Johannes A., van Ooijen, Peter
Tumor segmentation is a fundamental step for radiotherapy treatment planning. To define an accurate segmentation of the primary tumor (GTVp) of oropharyngeal cancer patients (OPC), simultaneous assessment of different image modalities is needed, and
Externí odkaz:
http://arxiv.org/abs/2207.01623