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Developing Trustworthy Artificial Intelligence Models to Predict Vascular Disease Progression: the VASCUL-AID-RETRO Study Protocol
Rijken, L., Zwetsloot, S., Smorenburg, S., Wolterink, J., Išgum, I., Marquering, H., van Duivenvoorde, J., Ploem, C., Jessen, R., Catarinella, F., Lee, R., Bera, K., Buisan, J., Zhang, P., Dias-Neto, M., Raffort, J., Lareyre, F., Muller, C., Koncar, I. & Tomic, I. & 13 others, , 2025, (E-pub ahead of print) In: Journal of Endovascular Therapy.Research output: Contribution to journal › Article* › Academic › peer-review
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Quantitative Magnetic Resonance Imaging to Assess Progression and Rupture Risk of Aortic Aneurysms: A Scoping Review
Aalbregt, E., Rijken, L., Nederveen, A., van Ooij, P., Yeung, K. K. & Jongkind, V., 2023, (E-pub ahead of print) In: Journal of endovascular therapy.Research output: Contribution to journal › Review article* › Academic › peer-review
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