An automated machine learning framework to optimize radiomics model construction validated on twelve clinical applications

Authors: 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

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2108.08618

Evaluation of National Surgical Practice for Lateral Lymph Nodes in Rectal Cancer in an Untrained Setting.

Authors: Sluckin, Tania C., Hazen, Sanne-Marije J. A., Horsthuis, Karin, Beets-Tan, Regina G. H., Aalbers, Arend G. J., Beets, Geerard L., Boerma, Evert-Jan G., Borstlap, Jaap, van Breest Smallenburg, Vivian, Burger, Jacobus W. A., Crolla, Rogier M. P. H., Daniëls-Gooszen, Alette W., Davids, Paul H. P., Dunker, Michalda S., Fabry, Hans F. J., Furnée, Edgar J. B., van Gils, Renza A. H., de Haas, Robbert J., Hoogendoorn, Stefan, van Koeverden, Sebastiaan

Source: Annals of Surgical Oncology: An Oncology Journal for Surgeons; Sep2023, Vol. 30 Issue 9, p5472-5485, 14p

ASO Visual Abstract: Evaluation of National Surgical Practice for Lateral Lymph Nodes in Rectal Cancer in an Untrained Setting.

Authors: Sluckin, Tania C., Hazen, Sanne-Marije J. A., Horsthuis, Karin, Beets-Tan, Regina G. H., Aalbers, Arend G. J., Beets, Geerard L., Boerma, Evert-Jan G., Borstlap, Jaap, van Breest Smallenburg, Vivian, Burger, Jacobus W. A., Crolla, Rogier M. P. H., Daniëls-Gooszen, Alette W., Davids, Paul H. P., Dunker, Michalda S., Fabry, Hans F. J., Furnée, Edgar J. B., van Gils, Renza A. H., de Haas, Robbert J., Hoogendoorn, Stefan, van Koeverden, Sebastiaan

Source: Annals of Surgical Oncology: An Oncology Journal for Surgeons; Sep2023, Vol. 30 Issue 9, p5486-5488, 3p

Predicting symptomatic mesenteric mass in small intestinal neuroendocrine tumors using radiomics.

Authors: Blazevic, Anela, Starmans, Martijn P. A., Brabander, Tessa, Dwarkasing, Roy S., van Gils, Renza A. H., Hofland, Johannes, Franssen, Gaston J. H., Feelders, Richard A., Niessen, Wiro J., Klein, Stefan, de Herder, Wouter W.

Source: Endocrine-Related Cancer; Aug2021, Vol. 28 Issue 8, p529-539, 11p

Subject Terms: RADIOMICS, INTESTINAL tumors, NEUROENDOCRINE tumors, COMPUTED tomography, MEDICAL personnel