Zobrazeno 1 - 10
of 125 875
pro vyhledávání: '"Mats"'
Autor:
Dennis Hein, Staffan Holmin, Timothy Szczykutowicz, Jonathan S. Maltz, Mats Danielsson, Ge Wang, Mats Persson
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 7, Iss 1, Pp 1-14 (2024)
Abstract Deep learning (DL) has proven to be important for computed tomography (CT) image denoising. However, such models are usually trained under supervision, requiring paired data that may be difficult to obtain in practice. Diffusion models offer
Externí odkaz:
https://doaj.org/article/cf9f018fc24247cb8dcd2c4abe419cda
Publikováno v:
Communications Engineering, Vol 3, Iss 1, Pp 1-9 (2024)
Abstract The spatiotemporal resolution of diagnostic X-ray images is limited by the erosion and rupture of conventional stationary and rotating anodes of X-ray tubes from extreme density of input power and thermal cycling of the anode material. Conve
Externí odkaz:
https://doaj.org/article/77532c32d3d549f995ec0f21875c8447
Autor:
Johanna Samola Winnberg, Litika Vermani, Wen Liu, Veronika Soller, Jessada Thutkawkorapin, Mats Lindblad, Annika Lindblom
Publikováno v:
Hereditary Cancer in Clinical Practice, Vol 22, Iss 1, Pp 1-8 (2024)
Abstract Background A complex inheritance has been suggested in families with colorectal-, gastric- and prostate cancer. Therefore, we conducted a genome-wide association study (GWAS) in colorectal cancer patients, who’s relatives had prostate-, an
Externí odkaz:
https://doaj.org/article/d2d0507c542a4318972cba875b2631f9
Autor:
Anders Svedmyr, Joakim Hedov, Miklos Lipcsey, Mats Wallin, Magnus Hallbäck, Per-Arne Lönnqvist, Jacob Karlsson
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Sepsis continues to be a major cause of death and illness globally, posing significant challenges for healthcare professionals. In the pursuit of more accurate and timely monitoring tools, the concept of capnodynamically derived mixed venous
Externí odkaz:
https://doaj.org/article/dea70ca3f2df4a3981cbacc204aede2d
Autor:
Sanem Sariyar, Alexandros Sountoulidis, Jan Niklas Hansen, Sergio Marco Salas, Mariya Mardamshina, Anna Martinez Casals, Frederic Ballllosera Navarro, Zaneta Andrusivova, Xiaofei Li, Paulo Czarnewski, Joakim Lundeberg, Sten Linnarsson, Mats Nilsson, Erik Sundström, Christos Samakovlis, Emma Lundberg, Burcu Ayoglu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract The respiratory system, including the lungs, is essential for terrestrial life. While recent research has advanced our understanding of lung development, much still relies on animal models and transcriptome analyses. In this study conducted
Externí odkaz:
https://doaj.org/article/f96183ed55c1432a879f9774af146d47
Autor:
Elham Yousefi, Mohamed Gewily, Franz König, Günter Höglinger, Franziska Hopfner, Mats O. Karlsson, Robin Ristl, Sonja Zehetmayer, Martin Posch
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Measuring disease progression in clinical trials for testing novel treatments for multifaceted diseases as progressive supranuclear palsy (PSP), remains challenging. In this study we assess a range of statistical approaches to compare outcom
Externí odkaz:
https://doaj.org/article/62ccf522bad84fceaf4bb4a6b93cb875
Autor:
Minal Jamsandekar, Mafalda S. Ferreira, Mats E. Pettersson, Edward D. Farrell, Brian W. Davis, Leif Andersson
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract Chromosomal inversions are associated with local adaptation in many species. However, questions regarding how they are formed, maintained and impact various other evolutionary processes remain elusive. Here, using a large genomic dataset of
Externí odkaz:
https://doaj.org/article/55bbfc9ad98d47a296383c18ff46dd21
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Quantum computing offers new heuristics for combinatorial problems. With small- and intermediate-scale quantum devices becoming available, it is possible to implement and test these heuristics on small-size problems. A candidate for such com
Externí odkaz:
https://doaj.org/article/e2381b1be40a44cc9522513b1c2f3a96
Autor:
Mats Tveter, Thomas Tveitstøl, Christoffer Hatlestad-Hall, Ana S. Pérez T., Erik Taubøll, Anis Yazidi, Hugo L. Hammer, Ira R. J. Hebold Haraldsen
Publikováno v:
Brain Informatics, Vol 11, Iss 1, Pp 1-12 (2024)
Abstract Deep Learning (DL) has the potential to enhance patient outcomes in healthcare by implementing proficient systems for disease detection and diagnosis. However, the complexity and lack of interpretability impede their widespread adoption in c
Externí odkaz:
https://doaj.org/article/ac8e752216de448587ab16a344df19ac
Autor:
Xiaomei Chen, Henrik B. Nyberg, Mark Donnelly, Liang Zhao, Lanyan Fang, Mats O. Karlsson, Andrew C. Hooker
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 13, Iss 10, Pp 1734-1747 (2024)
Abstract By applying nonlinear mixed‐effect (NLME) models, model‐integrated evidence (MIE) approaches are able to analyze bioequivalence (BE) data with pharmacokinetic end points that have sparse sampling, which is problematic for non‐compartme
Externí odkaz:
https://doaj.org/article/2e1329167ac44ce096430f86304bb58d