Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Mirjam Wielema"'
Autor:
Domenico Albano, Carmen Mallardi, Saif Afat, Paulo Moraes Agnollitto, Damiano Caruso, Roberto Cannella, Serena Carriero, Kalina Chupetlovska, Paola Clauser, Tommaso D’Angelo, Domenico De Santis, Marco Dioguardi Burgio, Ivo Dumic-Cule, Salvatore Claudio Fanni, Stefano Fusco, Marco Gatti, Salvatore Gitto, Sonja Jankovic, Tsvetomir Karagechev, Michail E. Klontzas, Emmanouil Koltsakis, Doris Leithner, Vid Matišić, Giuseppe Muscogiuri, Ralitsa Penkova, Michela Polici, Francesca Serpi, Carmelo Sofia, Ziga Snoj, Tugba Akinci D’Antonoli, Federica Vernuccio, João Vieira, Ana Catarina Vieira, Mirjam Wielema, Marta Zerunian, Carmelo Messina
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Objectives To collect real-world data about the knowledge and self-perception of young radiologists concerning the use of contrast media (CM) and the management of adverse drug reactions (ADR). Methods A survey (29 questions) was distributed
Externí odkaz:
https://doaj.org/article/8067ac5a0fe34e8bade817800296b722
Autor:
Paul Baron, Mirjam Wielema, Hildebrand Dijkstra, Jan Hendrik Potze, Monique D. Dorrius, Paul E. Sijens
Publikováno v:
Magnetic Resonance Materials in Physics, Biology and Medicine.
Reduced FOV-diffusion-weighted imaging (rFOV-DWI) allows for acquisition of a tissue region without back-folding, and may have better fat suppression than conventional DWI imaging (c-DWI). The aim was to compare the ADCs obtained with c-DWI bilateral
Autor:
Xueping Jing, Mirjam Wielema, Ludo J. Cornelissen, Margo van Gent, Willie M. Iwema, Sunyi Zheng, Paul E. Sijens, Matthijs Oudkerk, Monique D. Dorrius, Peter M.A. van Ooijen
Publikováno v:
European Radiology, 32. SPRINGER
Objectives To investigate the feasibility of automatically identifying normal scans in ultrafast breast MRI with artificial intelligence (AI) to increase efficiency and reduce workload. Methods In this retrospective analysis, 837 breast MRI examinati
Autor:
Xueping Jing, Monique D. Dorrius, Mirjam Wielema, Paul E. Sijens, Matthijs Oudkerk, Peter van Ooijen
Publikováno v:
Cancers, 14(8):2042. MDPI AG
Cancers; Volume 14; Issue 8; Pages: 2042
Cancers; Volume 14; Issue 8; Pages: 2042
Purpose: To investigate the feasibility of using deep learning methods to differentiate benign from malignant breast lesions in ultrafast MRI with both temporal and spatial information. Methods: A total of 173 single breasts of 122 women (151 examina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b877c02346f168478385949ed0fc6a34
https://research.rug.nl/en/publications/87a31523-a0bc-4722-ad6e-41ec40408a10
https://research.rug.nl/en/publications/87a31523-a0bc-4722-ad6e-41ec40408a10
Autor:
J. E. Siegersma, Hildebrand Dijkstra, G. H. de Bock, Ruud M. Pijnappel, I. G. van Bruggen, Matthijs Oudkerk, Paul E. Sijens, Mirjam Wielema, Monique D. Dorrius, E. Langius
Publikováno v:
PLoS ONE, Vol 16, Iss 1, p e0245930 (2021)
PLoS ONE, 16(1):0245930. PUBLIC LIBRARY SCIENCE
PLoS ONE
PLoS ONE, 16(1):0245930. PUBLIC LIBRARY SCIENCE
PLoS ONE
Objectives In breast diffusion weighted imaging (DWI) protocol standardization, it is recently shown that no breast tumor tissue selection (BTTS) method outperformed the others. The purpose of this study is to analyze the feasibility of three fixed-s
Autor:
Ruud M. Pijnappel, Pascal A. T. Baltzer, Paul E. Sijens, G. H. de Bock, Matthijs Oudkerk, Mirjam Wielema, Monique D. Dorrius
Publikováno v:
PLoS ONE, Vol 15, Iss 5, p e0232856 (2020)
PLoS ONE
PLoS ONE
Background Several methods for tumor delineation are used in literature on breast diffusion weighted imaging (DWI) to measure the apparent diffusion coefficient (ADC). However, in the process of reaching consensus on breast DWI scanning protocol, ima
Autor:
Ruud M. Pijnappel, Matthijs Oudkerk, Monique D. Dorrius, Karolien Jaspers, Mirjam Wielema, Paul E. Sijens, Hildebrand Dijkstra
Publikováno v:
Journal of Magnetic Resonance Imaging. 43:1122-1131
BackgroundTo optimize and validate intravoxel incoherent motion (IVIM) modeled diffusion-weighted imaging (DWI) compared with the apparent diffusion coefficient (ADC) for semi-automated analysis of breast lesions using a multi-reader setup. Materials
Autor:
Hildebrand, Dijkstra, Monique D, Dorrius, Mirjam, Wielema, Ruud M, Pijnappel, Matthijs, Oudkerk, Paul E, Sijens
Publikováno v:
Journal of magnetic resonance imaging : JMRI. 44(6)
To assess if specificity can be increased when semiautomated breast lesion analysis of quantitative diffusion-weighted imaging (DWI) is implemented after dynamic contrast-enhanced (DCE-) magnetic resonance imaging (MRI) in the workup of BI-RADS 3 and