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Results: 48
Number of items: 48
  • Open Access
    Ties, D., van Dorp, P., Pundziute, G., van der Aalst, C. M., Gratama, J. W. C., Braam, R. L., Kuijpers, D., Lubbers, D. D., van der Bilt, I. A. C., Westenbrink, B. D., Oude Wolcherink, M. J., Doggen, C. J. M., Išgum, I., Nijveldt, R., de Koning, H. J., Vliegenthart, R., Oudkerk, M., & van der Harst, P. (2022). Early detection of obstructive coronary artery disease in the asymptomatic high-risk population: objectives and study design of the EARLY-SYNERGY trial. American Heart Journal, 246, 166-177. https://doi.org/10.1016/j.ahj.2022.01.005
  • 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
  • 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
  • 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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