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Results: 7
Number of items: 7
  • Open Access
    Yiasemis, G. (2026). What we do sample, we must learn to reconstruct: From missing k-space data to meaningful images: Deep learning in MRI reconstruction and beyond. [Thesis, externally prepared, Universiteit van Amsterdam].
  • Open Access
    Yiasemis, G., Sánchez, C. I., Sonke, J.-J., & Teuwen, J. (2024). On retrospective k-space subsampling schemes for deep MRI reconstruction. Magnetic resonance imaging, 107, 33–46. https://doi.org/10.1016/j.mri.2023.12.012
  • Open Access
    Sogancioglu, E., van Ginneken, B., Behrendt, F., Bengs, M., Schlaefer, A., Radu, M., Xu, D., Sheng, K., Scalzo, F., Marcus, E., Papa, S., Teuwen, J., Scholten, E. T., Schalekamp, S., Hendrix, N., Jacobs, C., Hendrix, W., Sánchez, C., & Murphy, K. (2024). Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge. IEEE Transactions on Medical Imaging, 43(8), 2839–2853. https://doi.org/10.1109/tmi.2024.3382042
  • Schirris, Y., Engelaer, M., Panteli, A., Horlings, H. M., Gavves, E., & Teuwen, J. (2022). WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need. In J. E. Tomaszewski, A. D. Ward, & R. M. Levenson (Eds.), Medical Imaging 2022: Digital and Computational Pathology: 21-27 March 2022, online Article 120390B (Proceedings of SPIE; Vol. 12039), (Progress in Biomedical Optics and Imaging; Vol. 23, No. 55). SPIE. https://doi.org/10.1117/12.2611528
  • Schirris, Y., Gavves, E., Nederlof, I., Horlings, H. M., & Teuwen, J. (2022). DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer. Medical Image Analysis, 79, Article 102464. https://doi.org/10.1016/j.media.2022.102464
  • 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
  • Open Access
    Panteli, A., Teuwen, J., Horlings, H., & Gavves, E. (2021). Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations. In 2021 IEEE/CVF International Conference on Computer Vision: proceedings : ICCV 2021 : 11-17 October 2021, virtual event (pp. 2793-2803). (International Conference on Computer Vision; Vol. 18). IEEE Computer Society. https://doi.org/10.1109/ICCV48922.2021.00281
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