Zobrazeno 1 - 10
of 43 332
pro vyhledávání: '"Strand AS"'
To facilitate early detection of breast cancer, there is a need to develop short-term risk prediction schemes that can prescribe personalized/individualized screening mammography regimens for women. In this study, we propose a new deep learning archi
Externí odkaz:
http://arxiv.org/abs/2412.03081
Autor:
Bunnell, Arianna, Valdez, Dustin, Strand, Fredrik, Glaser, Yannik, Sadowski, Peter, Shepherd, John A.
Background. Breast cancer screening programs using mammography have led to significant mortality reduction in high-income countries. However, many low- and middle-income countries lack resources for mammographic screening. Handheld breast ultrasound
Externí odkaz:
http://arxiv.org/abs/2411.07322
Autor:
Strand, Frode S., Cooil, Simon P., Campbell, Quinn T., Flounders, John J., Røst, Håkon I., Åsland, Anna Cecilie, Skarpeid, Alv Johan, Stalsberg, Marte P., Hu, Jinbang, Bakkelund, Johannes, Bjelland, Victoria, Preobrajenski, Alexei B., Li, Zheshen, Bianchi, Marco, Miwa, Jill A., Wells, Justin W.
We investigate the electronic structure of high-density layers of Sb dopants in a silicon host, so-called Si:Sb $\delta$-layers. We show that, in spite of the known challenges in producing highly confined Sb $\delta$-layers, sufficient confinement is
Externí odkaz:
http://arxiv.org/abs/2410.17387
In multi-view medical diagnosis, deep learning-based models often fuse information from different imaging perspectives to improve diagnostic performance. However, existing approaches are prone to overfitting and rely heavily on view-specific features
Externí odkaz:
http://arxiv.org/abs/2410.15847
Autor:
Tholerus, E., Garzotti, L., Parail, V., Baranov, Y., Bonnin, X., Corrigan, G., Eriksson, F., Farina, D., Figini, L., Harting, D. M., Kim, S. H., Koechl, F., Loarte, A., Asp, E. Militello, Nordman, H., Pinches, S. D., Polevoi, A. R., Strand, P.
In the initial stages of ITER operation, ELM mitigation systems need to be commissioned. This requires controlled flat-top operation in type-I ELMy H-mode regimes. Hydrogen or helium plasma discharges are used exclusively in these stages to ensure ne
Externí odkaz:
http://arxiv.org/abs/2408.01222
Autor:
Zhou, Xingcheng, Fu, Deyu, Zimmer, Walter, Liu, Mingyu, Lakshminarasimhan, Venkatnarayanan, Strand, Leah, Knoll, Alois C.
Existing roadside perception systems are limited by the absence of publicly available, large-scale, high-quality 3D datasets. Exploring the use of cost-effective, extensive synthetic datasets offers a viable solution to tackle this challenge and enha
Externí odkaz:
http://arxiv.org/abs/2407.20818
Autor:
Nathan, Rakesh John Amala Arokia, Strand, Sigrid, Mehrwald, Daniel, Shutin, Dmitriy, Bimber, Oliver
Swarms of drones offer an increased sensing aperture, and having them mimic behaviors of natural swarms enhances sampling by adapting the aperture to local conditions. We demonstrate that such an approach makes detecting and tracking heavily occluded
Externí odkaz:
http://arxiv.org/abs/2407.10754
Autor:
Ermgassen Philine S.E. zu, Strand Åsa, Bakker Nienke, Blanco Ainhoa, Bonačić Kruno, Boudry Pierre, Brundu Gianni, Cameron Tom C., Connellan Iarfhlaith, da Costa Fiz, Debney Alison, Fabra Monica, Frankic Anamarija, Gamble Celine, Gray Mathew W., Helmer Luke, Holbrook Zoë, Hugh-Jones Tristan, Kamermans Pauline, Magnesen Thorolf, Nielsen Pernille, Preston Joanne, Ranger Christopher J., Saurel Camille, Smyth David, Stechele Brecht, Theodorou John A., Colsoul Bérenger
Publikováno v:
Aquatic Living Resources, Vol 36, p 16 (2023)
The European flat oyster, Ostrea edulis, is a habitat-forming bivalve which was historically widespread throughout Europe. Following its decline due to overfishing, pollution, sedimentation, invasive species, and disease, O. edulis and its beds are n
Externí odkaz:
https://doaj.org/article/65cb565bf08b4e33ae9071f3500f89e3
Autor:
Garrucho, Lidia, Reidel, Claire-Anne, Kushibar, Kaisar, Joshi, Smriti, Osuala, Richard, Tsirikoglou, Apostolia, Bobowicz, Maciej, del Riego, Javier, Catanese, Alessandro, Gwoździewicz, Katarzyna, Cosaka, Maria-Laura, Abo-Elhoda, Pasant M., Tantawy, Sara W., Sakrana, Shorouq S., Shawky-Abdelfatah, Norhan O., Abdo-Salem, Amr Muhammad, Kozana, Androniki, Divjak, Eugen, Ivanac, Gordana, Nikiforaki, Katerina, Klontzas, Michail E., García-Dosdá, Rosa, Gulsun-Akpinar, Meltem, Lafcı, Oğuz, Mann, Ritse, Martín-Isla, Carlos, Prior, Fred, Marias, Kostas, Starmans, Martijn P. A., Strand, Fredrik, Díaz, Oliver, Igual, Laura, Lekadir, Karim
Current research in breast cancer Magnetic Resonance Imaging (MRI), especially with Artificial Intelligence (AI), faces challenges due to the lack of expert segmentations. To address this, we introduce the MAMA-MIA dataset, comprising 1506 multi-cent
Externí odkaz:
http://arxiv.org/abs/2406.13844
An efficient numerical scheme for solving transport equations for tokamak plasmas within an integrated modelling framework is presented. The plasma transport equations are formulated as diffusion-advection equations in two coordinates (a temporal and
Externí odkaz:
http://arxiv.org/abs/2406.09491