Zobrazeno 1 - 10
of 294
pro vyhledávání: '"Verbeek, Fons"'
Autor:
Hesar, Fatemeh Fazel, Foing, Bernard, Heras, Ana M., Raouf, Mojtaba, Foing, Victoria, Javanmardi, Shima, Verbeek, Fons J.
This study applied machine learning models to estimate stellar rotation periods from corrected light curve data obtained by the NASA Kepler mission. Traditional methods often struggle to estimate rotation periods accurately due to noise and variabili
Externí odkaz:
http://arxiv.org/abs/2409.05482
Publikováno v:
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOIMAGING, 257-264, 2024
In biology, arborized structures are well represented and typically complex for visualization and analysis. In order to have a profound understanding of the topology of arborized 3D biological model, higher level abstraction is needed. We aim at cons
Externí odkaz:
http://arxiv.org/abs/2403.06638
Autor:
Xiong, Zhan, He, Junling, Valkema, Pieter, Nguyen, Tri Q., Naesens, Maarten, Kers, Jesper, Verbeek, Fons J.
Renal biopsies are the gold standard for diagnosis of kidney diseases. Lesion scores made by renal pathologists are semi-quantitative and exhibit high inter-observer variability. Automating lesion classification within segmented anatomical structures
Externí odkaz:
http://arxiv.org/abs/2309.17166
Starting from 2021, more demanding $\text{NO}_\text{x}$ emission restrictions were introduced for ships operating in the North and Baltic Sea waters. Since all methods currently used for ship compliance monitoring are financially and time demanding,
Externí odkaz:
http://arxiv.org/abs/2302.12744
Autor:
Kurchaba, Solomiia, van Vliet, Jasper, Verbeek, Fons J., Meulman, Jacqueline J., Veenman, Cor J.
Publikováno v:
Remote Sens. 2022, 14, 5809
The shipping industry is one of the strongest anthropogenic emitters of $\text{NO}_\text{x}$ -- substance harmful both to human health and the environment. The rapid growth of the industry causes societal pressure on controlling the emission levels p
Externí odkaz:
http://arxiv.org/abs/2203.06993
Autor:
Antunes, Stella S., Forn-Cuní, Gabriel, Romeiro, Nelilma C., Spaink, Herman P., Verbeek, Fons J., Muzitano, Michelle F.
Publikováno v:
In Drug Discovery Today November 2024 29(11)
Publikováno v:
In Remote Sensing of Environment 1 April 2024 304
Autor:
Elmahdy, Mohamed S., Beljaards, Laurens, Yousefi, Sahar, Sokooti, Hessam, Verbeek, Fons, van der Heide, U. A., Staring, Marius
Medical image registration and segmentation are two of the most frequent tasks in medical image analysis. As these tasks are complementary and correlated, it would be beneficial to apply them simultaneously in a joint manner. In this paper, we formul
Externí odkaz:
http://arxiv.org/abs/2105.01844
Autor:
Doeleman, Thom, Brussee, Siemen, Hondelink, Liesbeth M., Westerbeek, Daniëlle W.F., Sequeira, Ana M., Valkema, Pieter A., Jansen, Patty M., He, Junling, Vermeer, Maarten H., Quint, Koen D., van Dijk, Marijke R., Verbeek, Fons J., Kers, Jesper, Schrader, Anne M.R.
Publikováno v:
In Journal of Investigative Dermatology July 2024
Recently, joint registration and segmentation has been formulated in a deep learning setting, by the definition of joint loss functions. In this work, we investigate joining these tasks at the architectural level. We propose a registration network th
Externí odkaz:
http://arxiv.org/abs/2004.08122