Výsledky vyhledávání - "Tetyana Ivanovska"

Dimensions of the laryngo-tracheal junction in the MRI of an epidemiologic cohort

Autor: Achim G. Beule, Sönke Langner, Tetyana Ivanovska, W Hosemann, Carsten Oliver Schmidt, Henry Völzke

Publikováno v: Abstract- und Posterband – 91. Jahresversammlung der Deutschen Gesellschaft für HNO-Heilkunde, Kopf- und Hals-Chirurgie e.V., Bonn – Welche Qualität macht den Unterschied.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::abce65bf435a2468a5c057b4a33922a6
https://doi.org/10.1055/s-0040-1710842

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Technical challenges of quantitative chest MRI data analysis in a large cohort pediatric study

Autor: Juan A. Hernandez Tamames, Francesca Pennati, Anh H. Nguyen, Harm A.W.M. Tiddens, Pierluigi Ciet, Marleen de Bruijne, Piotr A. Wielopolski, Adria Perez-Rovira, Tetyana Ivanovska, Liesbeth Duijts, Andrea Aliverti

Publikováno v: Nguyen, A H, Perez-Rovira, A, Wielopolski, P A, Hernandez Tamames, J A, Duijts, L, de Bruijne, M, Aliverti, A, Pennati, F, Ivanovska, T, Tiddens, H A W M & Ciet, P 2019, ' Technical challenges of quantitative chest MRI data analysis in a large cohort pediatric study ', European Radiology, vol. 29, no. 6, pp. 2770–2782 . https://doi.org/10.1007/s00330-018-5863-7
European Radiology
European Radiology, 29(6), 2770-2782. Springer-Verlag

Objectives This study was conducted in order to evaluate the effect of geometric distortion (GD) on MRI lung volume quantification and evaluate available manual, semi-automated, and fully automated methods for lung segmentation. Methods A phantom was

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89eb3444badfb60eecbf9b609009b72c
https://doi.org/10.1007/s00330-018-5863-7

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Automatic MRI segmentation of para-pharyngeal fat pads using interactive visual feature space analysis for classification

Autor: Tetyana Ivanovska, Teodora Chitiboi, Henry Völzke, Lars Linsen, Muhammad Laiq Ur Rahman Shahid, Vladimir Molchanov

Publikováno v: BMC Medical Imaging

Background: Obstructive sleep apnea (OSA) is a public health problem. Detailed analysis of the para-pharyngeal fat pads can help us to understand the pathogenesis of OSA and may mediate the intervention of this sleeping disorder. A reliable and autom

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03d2b96a40f2cfdd54dd25596dc888c4
https://doi.org/10.1186/s12880-017-0179-7

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GPU implementations of a relaxation scheme for image partitioning: GLSL versus CUDA

Autor: Henry Völzke, Lars Linsen, Horst K. Hahn, Tetyana Ivanovska

The GPU programmability opens a new perspective for algorithms that have not been studied and used for real applications on commodity state-of-the-art hardware due to their computational expenses. In this paper, we present three implementations of a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::021399c2f89033d3e946826012394da1
https://publica.fraunhofer.de/handle/publica/228726

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A fast and accurate automatic lung segmentation and volumetry method for MR data used in epidemiological studies

Autor: René Laqua, Ralf Ewert, Norbert Hosten, Ralf Puls, Tetyana Ivanovska, Henry Völzke, Jens-Peter Kühn, Sven Gläser, Katrin Hegenscheid

Publikováno v: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 36(4)

In modern epidemiological population-based studies a huge amount of magnetic resonance imaging (MRI) data is analysed. This requires reliable automatic methods for organ extraction. In the current paper, we propose a fast and accurate automatic metho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b30a80f8a91d55714449f6a55e2cad57
https://pubmed.ncbi.nlm.nih.gov/22079337

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A User-friendly Tool for Semi-automated Segmentation and Surface Extraction from Color Volume Data Using Geometric Feature-space Operations

Autor: Lars Linsen, Tetyana Ivanovska

Publikováno v: Mathematics and Visualization ISBN: 9783540726296
Visualization in Medicine and Life Sciences

Segmentation and surface extraction from 3D imaging data is an important task in medical applications. When dealing with scalar data such as CT or MRI scans, a simple thresholding in form of isosurface extraction is an often a good choice. Isosurface

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cb07e2aa6de4aefd53682003a4c1d326
https://doi.org/10.1007/978-3-540-72630-2_9

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A fast and robust hepatocyte quantification algorithm including vein processing

Autor: Lars Linsen, Andrea Schenk, André Homeyer, Olaf Dirsch, Uta Dahmen, Tetyana Ivanovska, Meihong Deng, Horst K. Hahn

Publikováno v: BMC Bioinformatics, Vol 11, Iss 1, p 124 (2010)
BMC Bioinformatics

Background Quantification of different types of cells is often needed for analysis of histological images. In our project, we compute the relative number of proliferating hepatocytes for the evaluation of the regeneration process after partial hepate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9c359022e24f5b053ae4a632ba2f66b

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