Výsledky vyhledávání - "Dwarkasing, Roy"

Report

Reproducible radiomics through automated machine learning validated on twelve clinical applications

Autor: Starmans, Martijn P. A., van der Voort, Sebastian R., Phil, Thomas, Timbergen, Milea J. M., Vos, Melissa, Padmos, Guillaume A., Kessels, Wouter, Hanff, David, Grunhagen, Dirk J., Verhoef, Cornelis, Sleijfer, Stefan, Bent, Martin J. van den, Smits, Marion, Dwarkasing, Roy S., Els, Christopher J., Fiduzi, Federico, van Leenders, Geert J. L. H., Blazevic, Anela, Hofland, Johannes, Brabander, Tessa, van Gils, Renza A. H., Franssen, Gaston J. H., Feelders, Richard A., de Herder, Wouter W., Buisman, Florian E., Willemssen, Francois E. J. A., Koerkamp, Bas Groot, Angus, Lindsay, van der Veldt, Astrid A. M., Rajicic, Ana, Odink, Arlette E., Deen, Mitchell, T., Jose M. Castillo, Veenland, Jifke, Schoots, Ivo, Renckens, Michel, Doukas, Michail, de Man, Rob A., IJzermans, Jan N. M., Miclea, Razvan L., Vermeulen, Peter B., Bron, Esther E., Thomeer, Maarten G., Visser, Jacob J., Niessen, Wiro J., Klein, Stefan

Radiomics uses quantitative medical imaging features to predict clinical outcomes. Currently, in a new clinical application, finding the optimal radiomics method out of the wide range of available options has to be done manually through a heuristic t

Externí odkaz: http://arxiv.org/abs/2108.08618

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Akademický článek

Prevention of incisional hernia with prophylactic onlay and sublay mesh reinforcement vs. primary suture only in midline laparotomies (PRIMA): long-term outcomes of a multicentre, double-blind, randomised controlled trial

Autor: Grotelüschen, Rainier, Roumen, Rudie, van Baardewijk, Laurens, van Brussel, Jerome, van den Berg, Michiel, Boomsma, Martijn, Dwarkasing, Roy, van der Wal, Maarten, Buijk, Steven, Jairam, An, Burger, Pim C.W., Verhagen, Hence, De Jong, D., Klitsie, Pieter, Lases, Lenny, van der Ham, Arie, Harlaar, Joris, Charbon, Jan, Leenders, Bart, Dawson, Imro, Seiler, Christof, Buchler, Markus, Diener, Markus, Schuhmacher, Christoph, Izbicki, Jakob, Kutup, Asad, Neuhaus, Peter, Fikatas, Panagiotis, Golling, Markus, Laux, Dirk, May, Christopher, Nieuwenhuizen, Jeroen, Eker, Hasan H., Van den Dop, Louis Matthijs, Sneiders, Dimitri, Yurtkap, Yagmur, Werba, Alexander, van Klaveren, David, Pierik, Robert E.G.J.M., Reim, Daniel, Timmermans, Lucas, Fortelny, René H., Mihaljevic, André L., Kleinrensink, Gert-Jan, Tanis, Pieter J., Lange, Johan F., Jeekel, Johannes

Publikováno v: In The Lancet Regional Health - Europe January 2024 36

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Report

Differential diagnosis and molecular stratification of gastrointestinal stromal tumors on CT images using a radiomics approach

Autor: Starmans, Martijn P. A., Timbergen, Milea J. M., Vos, Melissa, Renckens, Michel, Grünhagen, Dirk J., van Leenders, Geert J. L. H., Dwarkasing, Roy S., Willemssen, François E. J. A., Niessen, Wiro J., Verhoef, Cornelis, Sleijfer, Stefan, Visser, Jacob J., Klein, Stefan

Publikováno v: J Digit Imaging (2022)

Distinguishing gastrointestinal stromal tumors (GISTs) from other intra-abdominal tumors and GISTs molecular analysis is necessary for treatment planning, but challenging due to its rarity. The aim of this study was to evaluate radiomics for distingu

Externí odkaz: http://arxiv.org/abs/2010.06824

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