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Results: 218,495
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  • Gordon, S. P., Burdfield-Steel, E., Kirvesoja, J., & Mappes, J. (2021). Safety in numbers: How color morph frequency affects predation risk in an aposematic moth. American Naturalist, 198(1), 128-141. https://doi.org/10.1086/714528
  • Honing, H., & Cornelissen, B. (2021). What is your position in the BBS discussion on the origins of music/ality?. Web publication or website, Music Matters. http://web.archive.org/web/20211025234508/http://musiccognition.blogspot.com/2021/10/position-in-bbs-discussion-on-origins.html
  • Bucklin, A., Peijnenburg, K. T. C. A., Kosobokova, K., & Machida, R. J. (2021). New insights into biodiversity, biogeography, ecology, and evolution of marine zooplankton based on molecular approaches. ICES Journal of Marine Science, 78(9), 3281-3287. https://doi.org/10.1093/icesjms/fsab198
  • Gal, R., van Velzen, S. G. M., Hooning, M. J., Emaus, M. J., van der Leij, F., Gregorowitsch, M. L., Blezer, E. L. A., Gernaat, S. A. M., Lessmann, N., Sattler, M. G. A., Leiner, T., de Jong, P. A., Teske, A. J., Verloop, J., Penninkhof, J. J., Vaartjes, I., Meijer, H., van Tol-Geerdink, J. J., Pignol, J.-P., ... Verkooijen, H. M. (2021). Identification of Risk of Cardiovascular Disease by Automatic Quantification of Coronary Artery Calcifications on Radiotherapy Planning CT Scans in Patients With Breast Cancer. JAMA Oncology, 7(7), 1024-1032. https://doi.org/10.1001/jamaoncol.2021.1144
  • Lin, A., Kolossváry, M., Motwani, M., Išgum, I., Maurovich-Horvat, P., Slomka, P. J., & Dey, D. (2021). Artificial intelligence in cardiovascular CT: Current status and future implications. Journal of cardiovascular computed tomography, 15(6), 462-469. https://doi.org/10.1016/j.jcct.2021.03.006
  • Lin, A., Kolossváry, M., Motwani, M., Išgum, I., Maurovich-Horvat, P., Slomka, P. J., & Dey, D. (2021). Artificial Intelligence in Cardiovascular Imaging for Risk Stratification in Coronary Artery Disease. Radiology. Cardiothoracic imaging, 3(1), Article e200512. https://doi.org/10.1148/ryct.2021200512
  • Schreuder, A., Jacobs, C., Lessmann, N., Broeders, M. J. M., Silva, M., Išgum, I., de Jong, P. A., Sverzellati, N., Prokop, M., Pastorino, U., Schaefer-Prokop, C. M., & van Ginneken, B. (2021). Combining pulmonary and cardiac computed tomography biomarkers for disease-specific risk modelling in lung cancer screening. The European Respiratory Journal, 58(3), Article 2003386. https://doi.org/10.1183/13993003.03386-2020
  • Lessmann, N., Sánchez, C. I., Beenen, L., Boulogne, L. H., Brink, M., Calli, E., Charbonnier, J.-P., Dofferhoff, T., van Everdingen, W. M., Gerke, P. K., Geurts, B., Gietema, H. A., Groeneveld, M., van Harten, L., Hendrix, N., Hendrix, W., Huisman, H. J., Išgum, I., Jacobs, C., ... van Ginneken, B. (2021). Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence. Radiology, 298(1), E18-E28. https://doi.org/10.1148/radiol.2020202439
  • Bruns, S., Wolterink, J. M., van den Boogert, T. P. W., Henriques, J. P., Baan, J., Planken, R. N., & Išgum, I. (2021). Automatic whole-heart segmentation in 4D TAVI treatment planning CT. In I. Išgum, & B. A. Landman (Eds.), Medical Imaging 2021: Image Processing: 15-19 February 2021, online only, Unitred States (Vol. 1). Article 115960B (Proceedings of SPIE; Vol. 11596), (Progress in Biomedical Optics and Imaging; Vol. 22, No. 2). SPIE. https://doi.org/10.1117/12.2581020
  • Hui, L., Joyce, A., Landry, M. J., & Li, X. (2021). Vortices and waves in light dark matter. Journal of Cosmology and Astroparticle Physics, 2021(1), Article 011. https://doi.org/10.1088/1475-7516/2021/01/011
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