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Results: 48
Number of items: 48
  • Open Access
    van de Vijver, W. R., Hennecken, J., Lagogiannis, I., Pérez del Villar, C., Herrera, C., Douek, P. C., Segev, A., Hovingh, G. K., Išgum, I., Winter, M. M., Planken, R. N., & Claessen, B. E. P. M. (2024). The Role of Coronary Computed Tomography Angiography in the Diagnosis, Risk Stratification, and Management of Patients with Diabetes and Chest Pain. Reviews in Cardiovascular Medicine, 25(12), Article 442. https://doi.org/10.31083/j.rcm2512442
  • Open Access
    Oudkerk Pool, M. D. (2024). Innovations in cardiology: Towards patient centered care. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Williams, M. C., Weir-McCall, J. R., Baldassarre, L. A., De Cecco, C. N., Choi, A. D., Dey, D., Dweck, M. R., Isgum, I., Kolossvary, M., Leipsic, J., Lin, A., Lu, M. T., Motwani, M., Nieman, K., Shaw, L., van Assen, M., & Nicol, E. (2024). Artificial Intelligence and Machine Learning for Cardiovascular Computed Tomography (CCT): A White Paper of the Society of Cardiovascular Computed Tomography (SCCT). Journal of cardiovascular computed tomography, 18(6), 519–532. https://doi.org/10.1016/j.jcct.2024.08.003
  • Open Access
    Dobrolinska, M. M., Jukema, R. A., van Velzen, S. G. M., van Diemen, P. A., Greuter, M. J. W., Prakken, N. H. J., van der Werf, N. R., Raijmakers, P. G., Slart, R. H. J. A., Knaapen, P., Isgum, I., & Danad, I. (2024). The prognostic value of visual and automatic coronary calcium scoring from low-dose computed tomography-[15O]-water positron emission tomography. European Heart Journal Cardiovascular Imaging, 25(9), 1186-1196. https://doi.org/10.1093/ehjci/jeae081
  • Open Access
    Koop, Y., Atsma, F., Batenburg, M. C. T., Meijer, H., van der Leij, F., Gal, R., van Velzen, S. G. M., Isgum, I., Vermeulen, H., Maas, A. H. E. M., Messaoudi, S. E., & Verkooijen, H. M. (2024). Competing risk analysis of cardiovascular disease risk in breast cancer patients receiving a radiation boost. Cardio-Oncology, 10, Article 7. https://doi.org/10.1186/s40959-024-00206-4
  • Open Access
    van Erck, D., Moeskops, P., Schoufour, J. D., Weijs, P. J. M., Scholte op Reimer, W. J. M., van Mourik, M. S., Planken, R. N., Vis, M. M., Baan, J., Išgum, I., Henriques, J. P., de Vos, B. D., & Delewi, R. (2024). Low muscle quality on a procedural computed tomography scan assessed with deep learning as a practical useful predictor of mortality in patients with severe aortic valve stenosis. Clinical Nutrition ESPEN, 63, 142–147. https://doi.org/10.1016/j.clnesp.2024.06.013
  • Open Access
    Föllmer, B., Williams, M. C., Dey, D., Arbab-Zadeh, A., Maurovich-Horvat, P., Volleberg, R. H. J. A., Rueckert, D., Schnabel, J. A., Newby, D. E., Dweck, M. R., Guagliumi, G., Falk, V., Vázquez-Mézquita, A. J., Biavati, F., Išgum, I., & Dewey, M. (2024). Roadmap on the Use of Artificial Intelligence for Imaging of Vulnerable Atherosclerotic Plaque in Coronary Arteries. Nature Reviews. Cardiology, 21(1), 51-64. https://doi.org/10.1038/s41569-023-00900-3
  • Open Access
    Galanty, M., Luitse, D., Noteboom, S. H., Croon, P., Vlaar, A. P., Poell, T., Sánchez Gutiérrez, C. I., Blanke, T., & Išgum, I. (2024). Assessing the documentation of publicly available medical image and signal datasets and their impact on bias using the BEAMRAD tool. Scientific Reports, 14, Article 31846. https://doi.org/10.1038/s41598-024-83218-5
  • Open Access
    van Harten, L. D. (2024). Motion analysis in 4D MRI of the small intestine using neural networks. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Karkalousos, D., Išgum, I., Marquering, H. A., & Caan, M. W. A. (2024). Atommic: An Advanced Toolbox for Multitask Medical Imaging Consistency to Facilitate Artificial Intelligence Applications from Acquisition to Analysis in Magnetic Resonance Imaging. Computer Methods and Programs in Biomedicine, 256, Article 108377. https://doi.org/10.1016/j.cmpb.2024.108377
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