Zobrazeno 1 - 10
of 177
pro vyhledávání: '"Sauli, Savolainen"'
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-13 (2023)
Abstract Background Early diagnosis of the potentially fatal but curable chronic pulmonary embolism (CPE) is challenging. We have developed and investigated a novel convolutional neural network (CNN) model to recognise CPE from CT pulmonary angiogram
Externí odkaz:
https://doaj.org/article/7d350180478842e0bde767e32ec86018
Autor:
Risto Kesävuori, Tuomas Kaseva, Eero Salli, Peter Raivio, Sauli Savolainen, Marko Kangasniemi
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-13 (2023)
Abstract Background Guidelines recommend that aortic dimension measurements in aortic dissection should include the aortic wall. This study aimed to evaluate two-dimensional (2D)- and three-dimensional (3D)-based deep learning approaches for extracti
Externí odkaz:
https://doaj.org/article/0d5c3219c97c44468ac03c91fea726d3
Autor:
Tuomas Kaseva, Bahareh Omidali, Eero Hippeläinen, Teemu Mäkelä, Ulla Wilppu, Alexey Sofiev, Arto Merivaara, Marjo Yliperttula, Sauli Savolainen, Eero Salli
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-19 (2022)
Abstract Background The segmentation of 3D cell nuclei is essential in many tasks, such as targeted molecular radiotherapies (MRT) for metastatic tumours, toxicity screening, and the observation of proliferating cells. In recent years, one popular me
Externí odkaz:
https://doaj.org/article/33698ce3cd704edfa206b7aa8b309571
Publikováno v:
European Radiology Experimental, Vol 5, Iss 1, Pp 1-12 (2021)
Abstract Background Chronic pulmonary embolism (CPE) is a life-threatening disease easily misdiagnosed on computed tomography. We investigated a three-dimensional convolutional neural network (CNN) algorithm for detecting hypoperfusion in CPE from co
Externí odkaz:
https://doaj.org/article/f8b5954afbad4f6d9a44db71c9883a80
Publikováno v:
European Radiology Experimental, Vol 5, Iss 1, Pp 1-11 (2021)
Abstract Background Computed tomography angiography (CTA) imaging is needed in current guideline-based stroke diagnosis, and infarct core size is one factor in guiding treatment decisions. We studied the efficacy of a convolutional neural network (CN
Externí odkaz:
https://doaj.org/article/c4b25ad081f74fb6a4f40a8a2ac90048
Autor:
Lauri Lehmonen, Mikko Jalanko, Mika Tarkiainen, Touko Kaasalainen, Johanna Kuusisto, Kirsi Lauerma, Sauli Savolainen
Publikováno v:
BMC Medical Imaging, Vol 20, Iss 1, Pp 1-8 (2020)
Abstract Background Left ventricle rotation and torsion are fundamental components of myocardial function, and several software packages have been developed for analysis of these components. The purpose of this study was to compare the suitability of
Externí odkaz:
https://doaj.org/article/58a0c6b670284edeb2bb07b0f1f6f634
Autor:
Arttu Ruohola, Eero Salli, Timo Roine, Anna Tokola, Minna Laine, Ritva Tikkanen, Sauli Savolainen, Taina Autti
Publikováno v:
Brain Sciences, Vol 12, Iss 11, p 1522 (2022)
Magnetic resonance (MR) imaging data can be used to develop computer-assisted diagnostic tools for neurodegenerative diseases such as aspartylglucosaminuria (AGU) and other lysosomal storage disorders. MR images contain features that are suitable for
Externí odkaz:
https://doaj.org/article/665d81303728478aa2fc3fbfcec87fc0
3D convolutional neural networks applied to CT angiography in the detection of acute ischemic stroke
Publikováno v:
European Radiology Experimental, Vol 3, Iss 1, Pp 1-11 (2019)
Abstract Background The aim of this study was to investigate the feasibility of ischemic stroke detection from computed tomography angiography source images (CTA-SI) using three-dimensional convolutional neural networks. Methods CTA-SI of 60 patients
Externí odkaz:
https://doaj.org/article/dda985ad893f457ca2228a62ec2b6e5b
Autor:
Teemu Mäkelä, Olli Öman, Lasse Hokkinen, Ulla Wilppu, Eero Salli, Sauli Savolainen, Marko Kangasniemi
In stroke imaging, CT angiography (CTA) is used for detecting arterial occlusions. These images could also provide information on the extent of ischemia. The study aim was to develop and evaluate a convolutional neural network (CNN)–based algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d42d9180c44eb8fbd4292fba5e5e04c2
http://hdl.handle.net/10138/346055
http://hdl.handle.net/10138/346055
Autor:
Arto Merivaara, Elle Koivunotko, Kalle Manninen, Tuomas Kaseva, Julia Monola, Eero Salli, Raili Koivuniemi, Sauli Savolainen, Sami Valkonen, Marjo Yliperttula
Publikováno v:
Polymers; Volume 14; Issue 24; Pages: 5530
Nanofibrillated cellulose (NFC) hydrogel is a versatile biomaterial suitable, for example, for three-dimensional (3D) cell spheroid culturing, drug delivery, and wound treatment. By freeze-drying NFC hydrogel, highly porous NFC structures can be manu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::560ac5b66d2c32dd0a43fdf56c5677cb