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Results: 48
Number of items: 48
  • Open Access
    Bruns, S. (2022). Automated segmentation of the heart in high-dimensional computed tomography. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
  • Open Access
    Slart, R. H. J. A., Williams, M. C., Juarez-Orozco, L. E., Rischpler, C., Dweck, M. R., Glaudemans, A. W. J. M., Gimelli, A., Georgoulias, P., Gheysens, O., Gaemperli, O., Habib, G., Hustinx, R., Cosyns, B., Verberne, H. J., Hyafil, F., Erba, P. A., Lubberink, M., Slomka, P., Išgum, I., ... Saraste, A. (2021). Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT/CT, PET/CT, and cardiac CT. European Journal of Nuclear Medicine and Molecular Imaging, 48(5), 1399-1413. https://doi.org/10.1007/s00259-021-05341-z
  • 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
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