Research output per year
Research output per year
Personal profile
Specialisation
Deep learning for cardiovascular image analysis
Research interests
Cardiology applications are the focus of my research. Motivated by real clinical needs, I develop methods that integrate machine learning with medical image analysis, computational fluid dynamics, and computational geometry to extract quantitative anatomical and functional information from cardiovascular imaging. My work aims to make cardiovascular assessment and treatment planning more quantitative and objective.
I am a lab manager of the CARA Lab (https://www.cara-ai-lab.nl), focusing on developing and validation AI systems for real-time analysis of intracoronary optical coherent tomography (OCT) images.
In parallel, I lead research on Marfan syndrome, combining advanced imaging, biomechanics, and AI to improve quantitative risk assessment and understanding of aortic disease progression.
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Collaborations and top research areas from the last five years
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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., 7 Dec 2025, In: European heart journal. 46, 46, p. 5032-5041 10 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Downloads (Pure) -
Ascending aorta over-angulation is a risk factor for acute type A aortic dissection: evidence from advanced finite element simulations
Ianniruberto, I., Lo Presti, F., Bifulco, O., Tondi, D., Saitta, S., Astori, D., Galgano, V. L., de Feo, M., Redaelli, A., di Eusanio, M., Votta, E. & Della Corte, A., 1 Mar 2025, In: European journal of cardio-thoracic surgery. 67, 3, ezaf053.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile4 Downloads (Pure) -
Attenuation artifact detection and severity classification in intracoronary OCT using mixed image representations
Cancian, P., Saitta, S., Gu, X., van Herten, R. L. M., Luttikholt, T. J., Thannhauser, J., Volleberg, R. H. J. A., van der Waerden, R. G. A., van der Zande, J. L., Sánchez, C. I., van Ginneken, B., van Royen, N. & Išgum, I., Apr 2025, Medical Imaging 2025: Image Processing. Colliot, O. & Mitra, J. (eds.). SPIE, 134060Q. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 13406).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Automatic 4D mitral valve segmentation from transesophageal echocardiography: a semi-supervised learning approach
Munafò, R., Saitta, S., Tondi, D., Ingallina, G., Denti, P., Maisano, F., Agricola, E. & Votta, E., Jan 2025, (Accepted/In press) In: Medical and Biological Engineering and Computing.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
Building digital twins for personalized cardiovascular medicine: Advances, challenges, and future directions
Chiastra, C., Pirola, S., Saitta, S., Sturla, F. & LaDisa, J. F., Nov 2025, In: Computers in biology and medicine. 198, 111122.Research output: Contribution to journal › Editorial › Academic › peer-review