Zobrazeno 1 - 10
of 686
pro vyhledávání: '"Bas, H."'
Autor:
Fendor, Zuzanna, van der Velden, Bas H. M., Wang, Xinxin, Carnoli, Andrea Jr., Mutlu, Osman, Hürriyetoğlu, Ali
Research in the food domain is at times limited due to data sharing obstacles, such as data ownership, privacy requirements, and regulations. While important, these obstacles can restrict data-driven methods such as machine learning. Federated learni
Externí odkaz:
http://arxiv.org/abs/2406.06202
Autor:
Sudre, Carole H., Van Wijnen, Kimberlin, Dubost, Florian, Adams, Hieab, Atkinson, David, Barkhof, Frederik, Birhanu, Mahlet A., Bron, Esther E., Camarasa, Robin, Chaturvedi, Nish, Chen, Yuan, Chen, Zihao, Chen, Shuai, Dou, Qi, Evans, Tavia, Ezhov, Ivan, Gao, Haojun, Sanguesa, Marta Girones, Gispert, Juan Domingo, Anson, Beatriz Gomez, Hughes, Alun D., Ikram, M. Arfan, Ingala, Silvia, Jaeger, H. Rolf, Kofler, Florian, Kuijf, Hugo J., Kutnar, Denis, Lee, Minho, Li, Bo, Lorenzini, Luigi, Menze, Bjoern, Molinuevo, Jose Luis, Pan, Yiwei, Puybareau, Elodie, Rehwald, Rafael, Su, Ruisheng, Shi, Pengcheng, Smith, Lorna, Tillin, Therese, Tochon, Guillaume, Urien, Helene, van der Velden, Bas H. M., van der Velpen, Isabelle F., Wiestler, Benedikt, Wolters, Frank J., Yilmaz, Pinar, de Groot, Marius, Vernooij, Meike W., de Bruijne, Marleen
Imaging markers of cerebral small vessel disease provide valuable information on brain health, but their manual assessment is time-consuming and hampered by substantial intra- and interrater variability. Automated rating may benefit biomedical resear
Externí odkaz:
http://arxiv.org/abs/2208.07167
Autor:
Kraaijveld, Rosa C. J., Philippens, Marielle E. P., Eppinga, Wietse S. C., Jürgenliemk-Schulz, Ina M., Gilhuijs, Kenneth G. A., Kroon, Petra S., van der Velden, Bas H. M.
Explainable artificial intelligence (XAI) is increasingly used to analyze the behavior of neural networks. Concept activation uses human-interpretable concepts to explain neural network behavior. This study aimed at assessing the feasibility of regre
Externí odkaz:
http://arxiv.org/abs/2208.02555
Autor:
Vera Hillemans, Otmar Buyne, Ivo de Blaauw, Sanne M.B.I. Botden, Bas H. Verhoeven, Maja Joosten
Publikováno v:
Medical Education Online, Vol 29, Iss 1 (2024)
Background To develop and maintain suturing skills, clinical exposure is important. When clinical exposure cannot be guaranteed, an adequate training schedule for suturing skills is required. This study evaluates the effect of continuous training,
Externí odkaz:
https://doaj.org/article/cc7cc031aca742949276f4ac2df5c8c0
Autor:
Veroniek E. M. Harbers, Wietske Kievit, Raquel Duque Jimenez, Leo J. Schultze Kool, Ingrid M. P. van Rijnsoever, Bas H. Verhoeven, Carine J. M. van der Vleuten, D. Maroeska W. M. te Loo, Members of the Vascular Anomalies Working Group (VASCA WG) of the European Reference Network for Rare Multisystemic Vascular Diseases (VASCERN)—Project ID:
Publikováno v:
Journal of Vascular Anomalies, Vol 5, Iss 2, p e092 (2024)
Objectives:. Sirolimus is one of the first oral drugs for safe and effective treatment of patients with vascular malformations, and may save (expensive) interventions. Therefore the objective was to investigate the cost-effectiveness of sirolimus in
Externí odkaz:
https://doaj.org/article/c89fe75e4ce34841b0ee0319cd1cd153
Autor:
Hillemans, Vera, Verhoeven, Daan J., Buyne, Otmar, de Blaauw, Ivo, Botden, Sanne M.B.I., Verhoeven, Bas H.
Publikováno v:
In The American Journal of Surgery November 2024 237
Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT
This paper assesses whether using clinical characteristics in addition to imaging can improve automated segmentation of kidney cancer on contrast-enhanced computed tomography (CT). A total of 300 kidney cancer patients with contrast-enhanced CT scans
Externí odkaz:
http://arxiv.org/abs/2109.05816
Autor:
Kutnar, Denis, van der Velden, Bas H. M., Sanguesa, Marta Girones, Geerlings, Mirjam I., Biesbroek, J. Matthijs, Kuijf, Hugo J.
Lacunes of presumed vascular origin are fluid-filled cavities of between 3 - 15 mm in diameter, visible on T1 and FLAIR brain MRI. Quantification of lacunes relies on manual annotation or semi-automatic / interactive approaches; and almost no automat
Externí odkaz:
http://arxiv.org/abs/2108.02483
Cerebral microbleeds are small, dark, round lesions that can be visualised on T2*-weighted MRI or other sequences sensitive to susceptibility effects. In this work, we propose a multi-stage approach to both microbleed detection and segmentation. Firs
Externí odkaz:
http://arxiv.org/abs/2108.02482
Publikováno v:
Heliyon, Vol 10, Iss 8, Pp e30099- (2024)
Background: Alcohol misuse among medical professionals poses a significant concern, and there is a lack of clarity in (inter)national guidelines regarding alcohol use during work. Moreover, there exists an insufficient body of research on the specifi
Externí odkaz:
https://doaj.org/article/54b8ab62237e4315b3226a2e7fdd8c32