Amsterdam Cardiovascular Sciences

Artificial intelligence-based identification of thin-cap fibroatheromas and clinical outcomes: the PECTUS-AI study

Volleberg, R. H. J. A., Luttikholt, T. J., van der Waerden, R. G. A., Cancian, P., van der Zande, J. L., Gu, X., Mol, J.-Q., Roleder, T., Prokop, M., Sánchez, C. I., van Ginneken, B., Išgum, I., Saitta, S., Thannhauser, J. & van Royen, N., 8 Dec 2025, In: European Heart journal. 46, 46, p. 5032-5041

Research output: Contribution to journal › Article › Academic › peer-review

Comprehensive full-vessel segmentation and volumetric plaque quantification for intracoronary optical coherence tomography using deep learning

Volleberg, R. H. J. A., van der Waerden, R. G. A., Luttikholt, T. J., van der Zande, J. L., Cancian, P., Gu, X., Mol, J.-Q., Quax, S., Prokop, M., Sánchez, C. I., van Ginneken, B., Išgum, I., Thannhauser, J., Saitta, S., Nishimiya, K., Roleder, T. & van Royen, N., 1 May 2025, In: European heart journal. Digital health. 6, 3, p. 404-416 13 p.

Research output: Contribution to journal › Article › Academic › peer-review

Dose distribution prediction for head-and-neck cancer radiotherapy using a generative adversarial network: influence of input data

Gu, X., Strijbis, V. I. J., Slotman, B. J., Dahele, M. R. & Verbakel, W. F. A. R., 2023, In: Frontiers in Oncology. 13, 1251132.

Research output: Contribution to journal › Article › Academic › peer-review