Zobrazeno 1 - 10
of 18 064
pro vyhledávání: '"Nørgaard, A."'
Autor:
Östlin, Göran, Pérez-González, Pablo G., Melinder, Jens, Gillman, Steven, Iani, Edoardo, Costantin, Luca, Boogaard, Leindert A., Rinaldi, Pierluigi, Colina, Luis, Nørgaard-Nielsen, Hans Ulrik, Dicken, Daniel, Greve, Thomas R., Wright, Gillian, Alonso-Herrero, Almudena, Alvarez-Marquez, Javier, Annunziatella, Marianna, Bik, Arjan, Bosman, Sarah E. I., Caputi, Karina I., Gomez, Alejandro Crespo, Eckart, Andreas, Garcia-Marin, Macarena, Hjorth, Jens, Ilbert, Olivier, Jermann, Iris, Kendrew, Sarah, Labiano, Alvaro, Langeroodi, Danial, Fevre, Olivier Le, Libralato, Mattia, Meyer, Romain A., Moutard, Thibaud, Peissker, Florian, Pye, John P., Tikkanen, Tuomo V., Topinka, Martin, Walter, Fabian, Ward, Martin, van der Werf, Paul, van Dishoeck, Ewine F., Henning, Manuel Güdel Thomas, Lagage, Pierre-Olivier, Ray, Tom P., Vandenbussche, Bart
The recently launched James Webb Space Telescope (JWST) is opening new observing windows on the distant universe. Among JWST's instruments, the Mid Infrared Instrument (MIRI) offers the unique capability of imaging observations at wavelengths $\lambd
Externí odkaz:
http://arxiv.org/abs/2411.19686
Autor:
Nørgaard, Martin, Yezekyan, Torgom, Rolfs, Stefan, Frydendahl, Christian, Mortensen, N. Asger, Zenin, Vladimir A.
Common techniques for measuring refractive indices, such as ellipsometry and goniometry, are ineffective for van der Waals crystal flakes because of their high anisotropy and small, micron-scale, lateral size. To address this, we employ near-field op
Externí odkaz:
http://arxiv.org/abs/2411.07926
Autor:
Ruschke, Tim, Carlsen, Jonathan Frederik, Hansen, Adam Espe, Lindberg, Ulrich, Hindsholm, Amalie Monberg, Norgaard, Martin, Ladefoged, Claes Nøhr
Deep learning models in medical contexts face challenges like data scarcity, inhomogeneity, and privacy concerns. This study focuses on improving ventricular segmentation in brain MRI images using synthetic data. We employed two latent diffusion mode
Externí odkaz:
http://arxiv.org/abs/2411.01351
Autor:
Bøggild, Peter, Booth, Timothy John, Lassaline, Nolan, Jessen, Bjarke Sørensen, Shivayogimath, Abhay, Hofmann, Stephan, Daasbjerg, Kim, Smith, Anders, Nørgaard, Kasper, Zurutuza, Amaia, Asselberghs, Inge, Barkan, Terrance, Taboryski, Rafael, Pollard, Andrew J.
2D materials research has reached significant scientific milestones, accompanied by a rapidly growing industrial sector in the two decades since the field's inception. Such rapid progress requires pushing past the boundary of what is technically and
Externí odkaz:
http://arxiv.org/abs/2409.18994
Autor:
Llambias, Sebastian Nørgaard, Machnio, Julia, Munk, Asbjørn, Ambsdorf, Jakob, Nielsen, Mads, Ghazi, Mostafa Mehdipour
Medical image analysis using deep learning frameworks has advanced healthcare by automating complex tasks, but many existing frameworks lack flexibility, modularity, and user-friendliness. To address these challenges, we introduce Yucca, an open-sour
Externí odkaz:
http://arxiv.org/abs/2407.19888
Even though novel imaging techniques have been successful in studying brain structure and function, the measured biological signals are often contaminated by multiple sources of noise, arising due to e.g. head movements of the individual being scanne
Externí odkaz:
http://arxiv.org/abs/2404.14882
Autor:
Kantas, Christos, Antoniussen, Bjørk, Andersen, Mathias V., Munksø, Rasmus, Kotnala, Shobhit, Jensen, Simon B., Møgelmose, Andreas, Nørgaard, Lau, Moeslund, Thomas B.
Publikováno v:
2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI)
Using RAW-images in computer vision problems is surprisingly underexplored considering that converting from RAW to RGB does not introduce any new capture information. In this paper, we show that a sufficiently advanced classifier can yield equivalent
Externí odkaz:
http://arxiv.org/abs/2403.14439
Autor:
Caputi, Karina I., Rinaldi, Pierluigi, Iani, Edoardo, Pérez-González, Pablo G., Ostlin, Göran, Colina, Luis, Greve, Thomas R., Nørgaard-Nielsen, Hans-Ulrik, Wright, Gillian S., Alvarez-Márquez, Javier, Eckart, Andreas, Hjorth, Jens, Labiano, Alvaro, Fèvre, Olivier Le, Walter, Fabian, van der Werf, Paul, Boogaard, Leindert, Costantin, Luca, Crespo-Gómez, Alejandro, Gillman, Steven, Jermann, Iris, Langeroodi, Danial, Melinder, Jens, Peissker, Florian, Güdel, Manuel, Henning, Thomas, Lagage, Pierre-Olivier, Ray, Thomas P.
We investigate the properties of strong (Hb+[OIII]) emitters before and after the end of the Epoch of Reionization from z=8 to z=5.5. We make use of ultra-deep JWST/NIRCam imaging in the Parallel Field of the MIRI Deep Imaging Survey (MIDIS) in the H
Externí odkaz:
http://arxiv.org/abs/2311.12691
Autor:
Kochkov, Dmitrii, Yuval, Janni, Langmore, Ian, Norgaard, Peter, Smith, Jamie, Mooers, Griffin, Klöwer, Milan, Lottes, James, Rasp, Stephan, Düben, Peter, Hatfield, Sam, Battaglia, Peter, Sanchez-Gonzalez, Alvaro, Willson, Matthew, Brenner, Michael P., Hoyer, Stephan
General circulation models (GCMs) are the foundation of weather and climate prediction. GCMs are physics-based simulators which combine a numerical solver for large-scale dynamics with tuned representations for small-scale processes such as cloud for
Externí odkaz:
http://arxiv.org/abs/2311.07222
Autor:
Jakob Nyvad, Kent Lodberg Christensen, Gratien Andersen, Mark Reinhard, Bjarne Linde Nørgaard, Jonna Skov Madsen, Sebastian Nielsen, Martin Bjergskov Thomsen, Jesper Møller Jensen, Christian Daugaard Peters, Niels Henrik Buus
Publikováno v:
BMC Nephrology, Vol 25, Iss 1, Pp 1-10 (2024)
Abstract Background Patients with chronic kidney disease (CKD) are susceptible to vascular calcification and vitamin K deficiency. Matrix gla protein (MGP) is a potent inhibitor of calcification requiring vitamin K for activation. Inactive MGP, i.e.
Externí odkaz:
https://doaj.org/article/1d144fd7b74f4d0ca3196ff22a8840c6
