Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Riku Klen"'
Autor:
Joaquin Rives Gambin, Mojtaba Jafari Tadi, Jarmo Teuho, Riku Klen, Juhani Knuuti, Juho Koskinen, Antti Saraste, Eero Lehtonen
Publikováno v:
IEEE Access, Vol 9, Pp 145886-145899 (2021)
Noise and motion artifacts in Positron emission tomography (PET) scans can interfere in diagnosis and result in inaccurate interpretations. PET gating techniques effectively reduce motion blurring, but at the cost of increasing noise, as only a subse
Externí odkaz:
https://doaj.org/article/87d45d98558b4db5860c45ce41bcaf51
Publikováno v:
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8475f9319caa2498bcfb553ea6581de3
https://doi.org/10.1109/nss/mic44867.2021.9875597
https://doi.org/10.1109/nss/mic44867.2021.9875597
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Research on different machine learning (ML) has become incredibly popular during the past few decades. However, for some researchers not familiar with statistics, it might be difficult to understand how to evaluate the performance of ML mode
Externí odkaz:
https://doaj.org/article/87f441491fdb43b289195ea8b7f86add
This book is an introduction to the theory of quasiconformal and quasiregular mappings in the euclidean n-dimensional space, (where n is greater than 2). There are many ways to develop this theory as the literature shows. The authors'approach is base
Publikováno v:
Brain Sciences, Vol 14, Iss 8, p 831 (2024)
Long COVID (Coronavirus disease), affecting millions globally, presents unprecedented challenges to healthcare systems due to its complex, multifaceted nature and the lack of effective treatments. This perspective review explores the potential of art
Externí odkaz:
https://doaj.org/article/d164d2bed2464af485255d8829901efd
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/87c9ac0b475d44fbade65000381a90ff
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract The aim of this study was to develop a convolutional neural network (CNN) for classifying positron emission tomography (PET) images of patients with and without head and neck squamous cell carcinoma (HNSCC) and other types of head and neck c
Externí odkaz:
https://doaj.org/article/9fdb55474bbd441597a19d720ae9c98b
Autor:
Riku Klén, Ivan A Huespe, Felipe Aníbal Gregalio, Antonio Lalueza Lalueza Blanco, Miguel Pedrera Jimenez, Noelia Garcia Barrio, Pascual Ruben Valdez, Matias A Mirofsky, Bruno Boietti, Ricardo Gómez-Huelgas, José Manuel Casas-Rojo, Juan Miguel Antón-Santos, Javier Alberto Pollan, David Gómez-Varela
Publikováno v:
eLife, Vol 12 (2023)
Background: The emergence of new SARS-CoV-2 variants with significant immune-evasiveness, the relaxation of measures for reducing the number of infections, the waning of immune protection (particularly in high-risk population groups), and the low upt
Externí odkaz:
https://doaj.org/article/660f801d19f242ffbacaf45811dedb3d
Autor:
Hannes Keemu, Kasperi J Alakylä, Riku Klén, Valtteri J Panula, Mikko S Venäläinen, Jaason J Haapakoski, Antti P Eskelinen, Konsta Pamilo, Jukka S Kettunen, Ari-Pekka Puhto, Anna I Vasara, Laura L Elo, Keijo T Mäkelä
Publikováno v:
Acta Orthopaedica, Vol 94 (2023)
Background and purpose: Periprosthetic joint infection (PJI) is the commonest reason for revision after total knee arthroplasty (TKA). We assessed the risk factors for revision due to PJI following TKA based on the Finnish Arthroplasty Register (FAR)
Externí odkaz:
https://doaj.org/article/2ddc654ecafb4715a29ccafb27454ea0
Publikováno v:
BMC Medical Imaging, Vol 22, Iss 1, Pp 1-14 (2022)
Abstract Background Attenuation correction is crucial in quantitative positron emission tomography-magnetic resonance (PET-MRI) imaging. We evaluated three methods to improve the segmentation and modelling of the attenuation coefficients in the nasal
Externí odkaz:
https://doaj.org/article/d4913f35b3654077970ff87ce8314a84