Publications of Ruben van der Waerden

all all years 2026 2025

2026

R. van der Waerden, R. Volleberg, P. Cancian, J. van der Zande, T. Luttikholt, X. Gu, L. Heil, J. Mol, K. Nishimiya, T. Roleder, C. Sánchez, B. van Ginneken, J. Thannhauser, N. van Royen, I. Isgum and S. Saitta, "Near real-time multi-class segmentation for intravascular optical coherence tomography using knowledge distillation", European Heart Journal - Digital Health, 2026;7.
Abstract DOI
L. Heil, T. Luttikholt, J. van der Zande, J. Mol, R. van der Waerden, P. Cancian, X. Gu, C. Sánchez, B. van Ginneken, I. Isgum, S. Saitta, J. Thannhauser, N. van Royen and R. Volleberg, "Artificial Intelligence-Derived Volumetric High-Risk Plaque Features Are Predominantly Located Proximal to Maximal Luminal Stenosis", Circulation: Cardiovascular Interventions, 2026.
DOI
R. Volleberg, D. Shin, R. van der Waerden, C. Porter, S. Thomas, F. Sosa, S. Saitta, A. Cetinyurek-Yavuz, J. van der Zande, T. Luttikholt, P. Cancian, X. Gu, L. Heil, J. Thannhauser, C. Sanchez, B. van Ginneken, I. Isgum, A. Jeremias, E. Shlofmitz, R. Shlofmitz, Z. Ali and N. van Royen, "Real-World External Validation of Artificial Intelligence-Based Full-Vessel Segmentation for Intracoronary Optical Coherence Tomography", Journal of the American Heart Association, 2026.
Abstract DOI

L. Heil, R. van der Waerden, R. Volleberg, J. Thannhauser, J. van der Zande, T. Luttikholt, P. Cancian, X. Gu, B. van Ginneken, C. Gutierrez, I. Isgum, N. van Royen and S. Saitta, "Uncertainty Analysis in Intravascular Oct Segmentation", 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI), 2026:1-5.
DOI

R. Volleberg, R. van der Waerden, T. Luttikholt, J. van der Zande, P. Cancian, X. Gu, J. Mol, S. Quax, M. Prokop, C. Sánchez, B. van Ginneken, I. Isgum, J. Thannhauser, S. Saitta, K. Nishimiya, T. Roleder and N. van Royen, "Comprehensive full-vessel segmentation and volumetric plaque quantification for intracoronary optical coherence tomography using deep learning", European Heart Journal - Digital Health, 2025;6:404-416.
Abstract DOI PMID
R. van der Waerden, R. Volleberg, T. Luttikholt, P. Cancian, J. van der Zande, G. Stone, N. Holm, E. Kedhi, J. Escaned, D. Pellegrini, G. Guagliumi, S. Mehta, N. Pinilla-Echeverri, R. Moreno, L. Räber, T. Roleder, B. van Ginneken, C. Sánchez, I. Isgum, N. van Royen and J. Thannhauser, "Artificial intelligence for the analysis of intracoronary optical coherence tomography images: a systematic review", European Heart Journal - Digital Health, 2025.
Abstract DOI
R. Volleberg, T. Luttikholt, R. van der Waerden, P. Cancian, J. van der Zande, X. Gu, J. Mol, T. Roleder, M. Prokop, C. Sánchez, B. van Ginneken, I. Isgum, S. Saitta, J. Thannhauser and N. van Royen, "Artificial intelligence-based identification of thin-cap fibroatheromas and clinical outcomes: the PECTUS-AI study", European Heart Journal, 2025.
Abstract DOI

P. Cancian, S. Saitta, X. Gu, R. van Herten, T. Luttikholt, J. Thannhauser, R. Volleberg, R. van der Waerden, J. van der Zande, C. Sánchez, B. van Ginneken, N. van Royen and I. Isgum, "Attenuation artifact detection and severity classification in intracoronary OCT using mixed image representations", Medical Imaging 2025: Image Processing, 2025.
Abstract DOI