Zobrazeno 1 - 10
of 218
pro vyhledávání: '"Visser, Jacob"'
Autor:
Spaanderman, Douwe J., Marzetti, Matthew, Wan, Xinyi, Scarsbrook, Andrew F., Robinson, Philip, Oei, Edwin H. G., Visser, Jacob J., Hemke, Robert, van Langevelde, Kirsten, Hanff, David F., van Leenders, Geert J. L. H., Verhoef, Cornelis, Gruühagen, Dirk J., Niessen, Wiro J., Klein, Stefan, Starmans, Martijn P. A.
Soft-tissue and bone tumours (STBT) are rare, diagnostically challenging lesions with variable clinical behaviours and treatment approaches. This systematic review provides an overview of Artificial Intelligence (AI) methods using radiological imagin
Externí odkaz:
http://arxiv.org/abs/2408.12491
Autor:
Giunti, Guido, Goossens, Richard, De Bont, Antoinette, Visser, Jacob J, Mulder, Mark, Schuit, Stephanie C E
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 10, p e21211 (2020)
The physical and social distancing measures that have been adopted worldwide because of COVID-19 will probably remain in place for a long time, especially for senior adults, people with chronic conditions, and other at-risk populations. Teleconsultat
Externí odkaz:
https://doaj.org/article/de02a4d9640a4e1cbb8723e38e2abb32
Autor:
Spaanderman, Douwe J., Starmans, Martijn P. A., van Erp, Gonnie C. M., Hanff, David F., Sluijter, Judith H., Schut, Anne-Rose W., van Leenders, Geert J. L. H., Verhoef, Cornelis, Grunhagen, Dirk J., Niessen, Wiro J., Visser, Jacob J., Klein, Stefan
Publikováno v:
Eur Radiol (2024)
Segmentations are crucial in medical imaging to obtain morphological, volumetric, and radiomics biomarkers. Manual segmentation is accurate but not feasible in the radiologist's clinical workflow, while automatic segmentation generally obtains sub-pa
Externí odkaz:
http://arxiv.org/abs/2402.07746
Autor:
Zanardo, Moreno1 (AUTHOR), Visser, Jacob J.2 (AUTHOR), Colarieti, Anna1 (AUTHOR), Cuocolo, Renato3 (AUTHOR), Klontzas, Michail E.4,5,6 (AUTHOR), Pinto dos Santos, Daniel7,8 (AUTHOR), Sardanelli, Francesco9 (AUTHOR) francesco.sardanelli@legatumori.mi.it
Publikováno v:
Insights into Imaging. 10/7/2024, Vol. 15 Issue 1, p1-13. 13p.
Autor:
Visser, Jacob Johannes
Thesis Erasmus University Rotterdam.
ook verschenen in gedrukte versie. With bibliogr., with a summary in Dutch.
ook verschenen in gedrukte versie. With bibliogr., with a summary in Dutch.
Externí odkaz:
http://hdl.handle.net/1765/10635
Autor:
Boverhof, Bart-Jan, Redekop, W. Ken, Visser, Jacob J., Uyl-de Groot, Carin A., Rutten-van Mölken, Maureen P.M.H.
Publikováno v:
In Health Policy and Technology June 2024 13(2)
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
Autor:
Ruitenbeek, Huibert C., Oei, Edwin H.G., Schmahl, Bart L., Bos, Eelke M., Verdonschot, Rob J.C.G., Visser, Jacob J.
Publikováno v:
In European Journal of Radiology April 2024 173
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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