Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Morten Brun"'
Autor:
Marta Eide, Anders Goksøyr, Fekadu Yadetie, Alejandra Gilabert, Zdenka Bartosova, Håvard G. Frøysa, Shirin Fallahi, Xiaokang Zhang, Nello Blaser, Inge Jonassen, Per Bruheim, Guttorm Alendal, Morten Brun, Cinta Porte, Odd André Karlsen
Publikováno v:
Frontiers in Physiology, Vol 14 (2023)
Lipid metabolism is essential in maintaining energy homeostasis in multicellular organisms. In vertebrates, the peroxisome proliferator-activated receptors (PPARs, NR1C) regulate the expression of many genes involved in these processes. Atlantic cod
Externí odkaz:
https://doaj.org/article/b68b5da6a8394e70bf75e8248ce668ce
Autor:
Simeon Mayala, Ida Herdlevær, Jonas Bull Haugsøen, Shamundeeswari Anandan, Sonia Gavasso, Morten Brun
Publikováno v:
Frontiers in Signal Processing, Vol 2 (2022)
In this paper, we propose a minimum spanning tree-based method for segmenting brain tumors. The proposed method performs interactive segmentation based on the minimum spanning tree without tuning parameters. The steps involve preprocessing, making a
Externí odkaz:
https://doaj.org/article/eee7cc35e6234fce85243c15f6185ac7
Autor:
Simeon Mayala, Ida Herdlevær, Jonas Bull Haugsøen, Shamundeeswari Anandan, Nello Blaser, Sonia Gavasso, Morten Brun
Publikováno v:
Journal of Imaging, Vol 8, Iss 10, p 262 (2022)
Brain segmentation in magnetic resonance imaging (MRI) images is the process of isolating the brain from non-brain tissues to simplify the further analysis, such as detecting pathology or calculating volumes. This paper proposes a Graph-based Unsuper
Externí odkaz:
https://doaj.org/article/b7b1ddde42d04d59b667b838ed3a1e4f
Autor:
Lucius Bader, Stein-Erik Gullaksen, Nello Blaser, Morten Brun, Gerd Haga Bringeland, André Sulen, Clara Gram Gjesdal, Christian Vedeler, Sonia Gavasso
Publikováno v:
Frontiers in Immunology, Vol 10 (2019)
Rheumatoid arthritis (RA) is a chronic autoimmune, inflammatory disease, characterized by synovitis in small- and medium-sized joints and, if not treated early and efficiently, joint damage, and destruction. RA is a heterogeneous disease with a pleth
Externí odkaz:
https://doaj.org/article/cb10d6c00b9b494d9dfe4b5115929c34
Autor:
Oreiro, Sara Noriega, Bentien, Anders, Sloth, Jonas, Rahimi, Mohammad, Madsen, Morten Brun, Drechsler, Terje
Publikováno v:
In Chemical Engineering Journal 15 June 2024 490
Publikováno v:
Neural Networks
The Delta method is a classical procedure for quantifying epistemic uncertainty in statistical models, but its direct application to deep neural networks is prevented by the large number of parameters P . We propose a low cost approximation of the De
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd1b45a4132b26c15686a9c1c1e1b2b0
https://pubmed.ncbi.nlm.nih.gov/34749029
https://pubmed.ncbi.nlm.nih.gov/34749029
Autor:
Nello Blaser, Morten Brun
Publikováno v:
Discrete & Computational Geometry
Leibniz International Proceedings in Informatics
Leibniz International Proceedings in Informatics
The alpha complex efficiently computes persistent homology of a point cloud X in Euclidean space when the dimension d is low. Given a subset A of X, relative persistent homology can be computed as the persistent homology of the relative Čech complex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ca8bfedc2dbe5d014ca29a84b09212a
https://hdl.handle.net/11250/2739475
https://hdl.handle.net/11250/2739475
Autor:
Nello Blaser, Morten Brun
Publikováno v:
Mathematics in Computer Science. 13:21-29
The aim of this paper is to present a method for computation of persistent homology that performs well at large filtration values. To this end we introduce the concept of filtered covers. We show that the persistent homology of a bounded metric space
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70d0db47fb49f0f878766b93a26492ef
https://doi.org/10.1007/s11786-018-0352-6
https://doi.org/10.1007/s11786-018-0352-6
Autor:
Nello Blaser, Morten Brun
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030297251
CD-MAKE
Lecture Notes in Computer Science
3rd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE)
3rd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2019, Canterbury, United Kingdom. pp.272-284, ⟨10.1007/978-3-030-29726-8_17⟩
Lecture Notes in Computer Science (LNCS)
CD-MAKE
Lecture Notes in Computer Science
3rd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE)
3rd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2019, Canterbury, United Kingdom. pp.272-284, ⟨10.1007/978-3-030-29726-8_17⟩
Lecture Notes in Computer Science (LNCS)
International audience; Topological data analysis combines machine learning with methods from algebraic topology. Persistent homology, a method to characterize topological features occurring in data at multiple scales is of particular interest. A maj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97f7d237b535bbc2c2b5139ed0443fd5
https://doi.org/10.1007/978-3-030-29726-8_17
https://doi.org/10.1007/978-3-030-29726-8_17
Autor:
Morten Brun, Nello Blaser
Publikováno v:
Journal of Applied and Computational Topology
We propose sparse versions of filtered simplicial complexes used to compte persistent homology of point clouds and of networks. In particular we extend a slight variation of the Sparse \v{C}ech Complex of Cavanna, Jahanseir and Sheehy from point clou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8be4e05d6fcc2c3907772f01a4585f91