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Results: 42
Number of items: 42
  • 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
  • Open Access
    Schuuring, M. J., Išgum, I., Cosyns, B., Chamuleau, S. A. J., & Bouma, B. J. (2021). Routine Echocardiography and Artificial Intelligence Solutions. Frontiers in Cardiovascular Medicine, 8, Article 648877. https://doi.org/10.3389/fcvm.2021.648877
  • 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
  • Sander, J., de Vos, B. D., & Išgum, I. (2021). Unsupervised super-resolution: Creating high-resolution medical images from low-resolution anisotropic examples. In I. Išgum, & B. A. Landman (Eds.), Medical Imaging 2021: Image Processing: 15-19 February 2021, online only, Unitred States (Vol. 1). Article 115960E (Proceedings of SPIE; Vol. 11596), (Progress in Biomedical Optics and Imaging; Vol. 22, No. 2). SPIE. https://doi.org/10.1117/12.2580412
  • Open Access
    Gal, R., Gregorowitsch, M. L., Emaus, M. J., Blezer, E. L. A., van der Leij, F., van Velzen, S. G. M., van Tol-Geerdink, J. J., Išgum, I., & Verkooijen, H. M. (2021). Coronary artery calcifications on breast cancer radiotherapy planning CT scans and cardiovascular risk: What do patients want to know? International journal of cardiology. Cardiovascular risk and prevention, 11, Article 200113. https://doi.org/10.1016/j.ijcrp.2021.200113
  • Open Access
    Dekker, M., Waissi, F., Bank, I. E. M., Isgum, I., Scholtens, A. M., Velthuis, B. K., Pasterkamp, G., de Winter, R. J., Mosterd, A., Timmers, L., & de Kleijn, D. P. V. (2021). The prognostic value of automated coronary calcium derived by a deep learning approach on non-ECG gated CT images from 82Rb-PET/CT myocardial perfusion imaging. International Journal of Cardiology, 329, 9-15. https://doi.org/10.1016/j.ijcard.2020.12.079
  • Open Access
    Zoetmulder, R., Konduri, P. R., Obdeijn, I. V., Gavves, E., Išgum, I., Majoie, C. B. L. M., Dippel, D. W. J., Roos, Y. B. W. E. M., Goyal, M., Mitchell, P. J., Campbell, B. C. V., Lopes, D. K., Reimann, G., Jovin, T. G., Saver, J. L., Muir, K. W., White, P., Bracard, S., Chen, B., ... Marquering, H. A. (2021). Automated final lesion segmentation in posterior circulation acute ischemic stroke using deep learning. Diagnostics, 11(9), Article 1621. https://doi.org/10.3390/diagnostics11091621
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