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Results: 217,084
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  • Biagetti, M., Cole, A., & Shiu, G. (2021). The persistence of large scale structures. Part I: Primordial non-gaussianity. Journal of Cosmology and Astroparticle Physics, 2021(4), Article 061. https://doi.org/10.1088/1475-7516/2021/04/061
  • Cole, A., & Shiu, G. (2021). Towards the “shape” of cosmological observables and the string theory landscape with topological data analysis. In F. Nielsen (Ed.), Progress in Information Geometry (pp. 219-244). (Signals and Communication Technology). Springer. https://doi.org/10.1007/978-3-030-65459-7_9
  • Wagenmakers, E.-M. (2021). [Review of: A. Clayton (2021) Bernoulli’s Fallacy : Statistical Illogic and the Crisis of Modern Science]. Chance, 34(4), 37-38. https://doi.org/10.1080/09332480.2021.2003642
  • ten Oever, N., & Milan, S. (2021). The Making of International Communication Standards: Towards a Theory of Power in Standardization. In K. Jacobs (Ed.), Proceedings Joint 25th EURAS Annual Standardisation Conference - Standardisation and Innovation - & 11th International Conference on Standardisation and Innovation in Information Technology (SIIT) - The Past, Present and FUTURE of ICT Standardisation: 6-9 September 2021, RWTH Aachen University, Aachen, Germany (pp. 561-580). (EURAS contributions to standardisation research; Vol. 16). Wissenschaftsverlag Mainz.
  • Ly, A., van den Bergh, D., Bartoš, F., & Wagenmakers, E.-J. (2021). Bayesian inference with JASP. ISBA Bulletin, 28(1), 7-15. https://bayesian.org/wp-content/uploads/2021/03/2103.pdf
  • de Vos, B. D., Lessmann, N., de Jong, P. A., & Išgum, I. (2021). Deep Learning-Quantified Calcium Scores for Automatic Cardiovascular Mortality Prediction at Lung Screening Low-Dose CT. Radiology. Cardiothoracic imaging, 3(2), Article e190219. https://doi.org/10.1148/ryct.2021190219
  • Wolterink, J. M., Mukhopadhyay, A., Leiner, T., Vogl, T. J., Bucher, A. M., & Išgum, I. (2021). Generative Adversarial Networks: A Primer for Radiologists. RadioGraphics, 41(3), 840-857. https://doi.org/10.1148/rg.2021200151
  • 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
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