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Learning hemodynamic scalar fields on coronary artery meshes: A benchmark of geometric deep learning models
Nannini, G., Suk, J., Rygiel, P., Saitta, S., Mariani, L., Maranga, R., Baggiano, A., Pontone, G., Wolterink, J. M. & Redaelli, A., 1 Sept 2025, In: Computers in Biology and Medicine. 195, 110477.Research output: Contribution to journal › Article › Academic › peer-review
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World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography
van Herten, R. L. M., Lagogiannis, I., Wolterink, J. M., Bruns, S., Meulendijks, E. R., Dey, D., de Groot, J. R., Henriques, J. P., Planken, R. N., Saitta, S. & Išgum, I., 1 Jul 2025, In: Medical image analysis. 103, 103582.Research output: Contribution to journal › Article › Academic › peer-review
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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
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