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Results: 48
Number of items: 48
  • 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
    Kolk, M. Z. H., Ruipérez-Campillo, S., Allaart, C. P., Wilde, A. A. M., Knops, R. E., Narayan, S. M., Tjong, F. V. Y., & DEEP RISK investigators (2024). Multimodal explainable artificial intelligence identifies patients with non-ischaemic cardiomyopathy at risk of lethal ventricular arrhythmias. Scientific Reports, 14, Article 14889. https://doi.org/10.1038/s41598-024-65357-x
  • Open Access
    Hampe, N., van Velzen, S. G. M., Wolterink, J. M., Collet, C., Henriques, J. P. S., Planken, N., & Išgum, I. (2024). Graph neural networks for automatic extraction and labeling of the coronary artery tree in CT angiography. Journal of Medical Imaging, 11(03), Article 034001 . https://doi.org/10.1117/1.jmi.11.3.034001
  • 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
    Jansen, G. E., de Vos, B. D., Molenaar, M. A., Schuuring, M. J., Bouma, B. J., & Išgum, I. (2024). Automated echocardiography view classification and quality assessment with recognition of unknown views. Journal of Medical Imaging, 11(5), Article 054002. https://doi.org/10.1117/1.jmi.11.5.054002
  • 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
    Oudkerk Pool, M. D. (2024). Innovations in cardiology: Towards patient centered care. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Płotka, S. S. (2024). Enhancing prenatal care through deep learning. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    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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