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Results: 57,911
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  • 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
  • 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
  • Abbott, R., Bulten, H. J., Caudill, S., Guo, Y., Linde, F., Nissanke, S., Phukon, K. S., Raaijmakers, G., van Bakel, N., van Beuzekom, M., van den Brand, J. F. J., van den Broeck, C., Vardaro, M., & LIGO Scientific Collaboration and Virgo Collaboration (2021). Diving below the spin-down limit: Constraints on gravitational waves from the energetic young pulsar PSR J0537-6910. Astrophysical Journal, 913(2), Article L27. https://doi.org/10.3847/2041-8213/abffcd
  • Oudkerk Pool, M. D., de Vos, B. D., Winter, M. M., & Išgum, I. (2021). Deep Learning-Based Data-Point Precise R-Peak Detection in Single-Lead Electrocardiograms. In 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society: pre-conference workshops & social events: Saturday, October 30, 2021, conference dates: Monday, November 1-Friday, November 5, 2021 (pp. 718-721). (EMBC; Vol. 2021). IEEE. https://doi.org/10.1109/EMBC46164.2021.9630062
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