Zobrazeno 1 - 10
of 1 357
pro vyhledávání: '"Bjørnerud, A"'
Autor:
Bao, Rina, Darzi, Erfan, He, Sheng, Hsiao, Chuan-Heng, Hussain, Mohammad Arafat, Li, Jingpeng, Bjornerud, Atle, Grant, Ellen, Ou, Yangming
Foundation models refer to artificial intelligence (AI) models that are trained on massive amounts of data and demonstrate broad generalizability across various tasks with high accuracy. These models offer versatile, one-for-many or one-for-all solut
Externí odkaz:
http://arxiv.org/abs/2411.02745
Autor:
Ottesen, Jon André, Storas, Tryggve, Vatnehol, Svein Are Sirirud, Løvland, Grethe, Vik-Mo, Einar O., Schellhorn, Till, Skogen, Karoline, Larsson, Christopher, Bjørnerud, Atle, Groote-Eindbaas, Inge Rasmus, Caan, Matthan W. A.
Purpose: To evaluate the quality of deep learning reconstruction for prospectively accelerated intraoperative magnetic resonance imaging (iMRI) during resective brain tumor surgery. Materials and Methods: Accelerated iMRI was performed during brain s
Externí odkaz:
http://arxiv.org/abs/2401.12771
Autor:
Liu, Qinghui, Fuster-Garcia, Elies, Hovden, Ivar Thokle, Sederevicius, Donatas, Skogen, Karoline, MacIntosh, Bradley J, Grødem, Edvard, Schellhorn, Till, Brandal, Petter, Bjørnerud, Atle, Emblem, Kyrre Eeg
Diffuse gliomas are malignant brain tumors that grow widespread through the brain. The complex interactions between neoplastic cells and normal tissue, as well as the treatment-induced changes often encountered, make glioma tumor growth modeling chal
Externí odkaz:
http://arxiv.org/abs/2309.05406
Autor:
He, Sheng, Bao, Rina, Li, Jingpeng, Stout, Jeffrey, Bjornerud, Atle, Grant, P. Ellen, Ou, Yangming
Background: The segment-anything model (SAM), introduced in April 2023, shows promise as a benchmark model and a universal solution to segment various natural images. It comes without previously-required re-training or fine-tuning specific to each ne
Externí odkaz:
http://arxiv.org/abs/2304.09324
Autor:
Alba Gómez-Valadés, Rafael Martínez-Tomás, Sara García-Herranz, Atle Bjørnerud, Mariano Rincón
Publikováno v:
Frontiers in Neuroinformatics, Vol 18 (2024)
Machine learning (ML) methodologies for detecting Mild Cognitive Impairment (MCI) are progressively gaining prevalence to manage the vast volume of processed information. Nevertheless, the black-box nature of ML algorithms and the heterogeneity withi
Externí odkaz:
https://doaj.org/article/fe29bfeee79b4261a0c7dcbfdc8a8112
Autor:
Geir Uvsløkk, Gro Bjørnerud
Publikováno v:
Norsk Litteraturvitenskapelig Tidsskrift, Vol 27, Iss 1, Pp 19-32 (2024)
I L’Art de Perdre (2017), norsk oversettelse: Kunsten å miste (2019), undersøker Alice Zeniter virkninger av den algeriske frigjøringskrigen. Hun konsentrerer seg særlig om harkienes historie. Harkiene var innfødte algeriere som støttet Frank
Externí odkaz:
https://doaj.org/article/41e593a934d04c0e87cc1700382cf04e
Plasma brain-derived tau is an amyloid-associated neurodegeneration biomarker in Alzheimer’s disease
Autor:
Fernando Gonzalez-Ortiz, Bjørn-Eivind Kirsebom, José Contador, Jordan E. Tanley, Per Selnes, Berglind Gísladóttir, Lene Pålhaugen, Mathilde Suhr Hemminghyth, Jonas Jarholm, Ragnhild Skogseth, Geir Bråthen, Gøril Grøndtvedt, Atle Bjørnerud, Sandra Tecelao, Knut Waterloo, Dag Aarsland, Aida Fernández-Lebrero, Greta García-Escobar, Irene Navalpotro-Gómez, Michael Turton, Agnes Hesthamar, Przemyslaw R. Kac, Johanna Nilsson, Jose Luchsinger, Kathleen M. Hayden, Peter Harrison, Albert Puig-Pijoan, Henrik Zetterberg, Timothy M. Hughes, Marc Suárez-Calvet, Thomas K. Karikari, Tormod Fladby, Kaj Blennow
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Staging amyloid-beta (Aβ) pathophysiology according to the intensity of neurodegeneration could identify individuals at risk for cognitive decline in Alzheimer’s disease (AD). In blood, phosphorylated tau (p-tau) associates with Aβ patho
Externí odkaz:
https://doaj.org/article/b027901016fa4e8ba7386d92b8d8e45e
Autor:
Liu, Qinghui, MacIntosh, Bradley J, Schellhorn, Till, Skogen, Karoline, Emblem, KyrreEeg, Bjørnerud, Atle
Publikováno v:
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
We propose a novel and flexible attention based U-Net architecture referred to as "Voxels-Intersecting Along Orthogonal Levels Attention U-Net" (viola-Unet), for intracranial hemorrhage (ICH) segmentation task in the INSTANCE 2022 Data Challenge on n
Externí odkaz:
http://arxiv.org/abs/2208.06313
Autor:
Røvang, Martin Soria, Selnes, Per, MacIntosh, Bradley John, Groote, Inge Rasmus, Paalhaugen, Lene, Carole, Sudre, Fladby, Tormod, Bjørnerud, Atle
Automated segmentation of white matter hyperintensities (WMHs) is an essential step in neuroimaging analysis of Magnetic Resonance Imaging (MRI). Fluid Attenuated Inversion Recovery (FLAIR-weighted) is an MRI contrast that is particularly useful to v
Externí odkaz:
http://arxiv.org/abs/2207.08467
Objective: To improve accelerated MRI reconstruction through a densely connected cascading deep learning reconstruction framework. Materials and Methods: A cascading deep learning reconstruction framework (baseline model) was modified by applying thr
Externí odkaz:
http://arxiv.org/abs/2207.02073