Publications of Bram van Ginneken

2025

Papers in international journals

1. L. Builtjes, J. Bosma, M. Prokop, B. van Ginneken and A. Hering, "Leveraging open-source large language models for clinical information extraction in resource-constrained settings", JAMIA Open, 2025;8.
   Abstract DOI PMID
2. M. Sappia, C. de Korte, B. van Ginneken, D. Ninalga, S. Kondo, S. Kasai, K. Hirasawa, T. Akumu, C. Martín-Isla, K. Lekadir, V. Campello, J. Fabila, A. Beverdam, J. van Dillen, C. Neff and K. Murphy, "ACOUSLIC-AI challenge report: Fetal abdominal circumference measurement on blind-sweep ultrasound data from low-income countries", Medical Image Analysis, 2025;105:103640.
   DOI PMID
3. 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
4. W. Hendrix, N. Hendrix, E. Scholten, B. van Ginneken, M. Prokop, M. Rutten and C. Jacobs, "Artificial intelligence for the detection of airway nodules in chest CT scans", European Radiology, 2025.
   Abstract DOI PMID
5. 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
6. 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

Preprints

1. Y. Wang, T. Chen, S. Vinayahalingam, T. Wu, C. Chang, H. Chang, H. Wei, M. Chen, C. Ko, D. Moin, B. van Ginneken, T. Xi, H. Tsai, M. Chen, T. Hsu and H. Chou, "Artificial Intelligence to Assess Dental Findings from Panoramic Radiographs -- A Multinational Study", arXiv:2502.10277, 2025.
   Abstract DOI arXiv
2. S. de Boer, H. Häntze, K. Venkadesh, M. Buser, G. Mamani, L. Xu, L. Adams, J. Nawabi, K. Bressem, B. van Ginneken, M. Prokop and A. Hering, "Robust Kidney Abnormality Segmentation: A Validation Study of an AI-Based Framework", arXiv:2505.07573, 2025.
   Abstract DOI arXiv
3. X. Pham, G. Vuurberg, M. Doppen, J. Roosen, T. Stille, T. Ha, T. Quach, Q. Dang, M. Luu, E. Smit, H. Mai, M. Heinrich, B. van Ginneken, M. Prokop and A. Hering, "TotalRegistrator: Towards a Lightweight Foundation Model for CT Image Registration", arXiv:2508.04450, 2025.
   Abstract DOI arXiv
4. M. van Rijthoven, W. Aswolinskiy, L. Tessier, M. Balkenhol, J. Bogaerts, D. Drubay, L. Blesa, D. Peeters, E. Stovgaard, A. L\aenkholm , H. Haynes, L. Craciun, D. Larsimont, M. Amgad, L. Cooper, C. de Kock, V. Dechering, J. Lotz, N. Weiss, M. van Bockstal, C. Galant, E. Lips, H. Horlings, J. Wesseling, L. Mulder, S. van den Belt, K. Weber, P. Jank, C. Denkert, E. Munari, G. Bogina, C. Russ, A. Lemm, S. Loi, J. Douglas, S. Michiels, H. Joensuu, M. Fan, D. Lee, J. Ye, K. Byun, J. Kim, S. Xu, Z. Ji, F. Xie, J. Kuang, X. Chen, L. Chen, A. Tsakiroglou, R. Byers, M. Fergie, V. Ramanathan, A. Martel, A. Shephard, S. Ahmed Raza, M. Jahanifar, N. Rajpoot, S. Cho, D. Kim, H. Jang, C. Park, K. Kim, R. Donders, S. Maurits, M. Groeneveld, A. Mickan, J. Meakin, B. van Ginneken, R. Salgado, J. van der Laak and F. Ciompi, "Tumor-infiltrating lymphocytes in breast cancer through artificial intelligence: biomarker analysis from the results of the TIGER challenge", medRxiv, 2025.
   Abstract DOI

Papers in conference proceedings

1. 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
2. C. de Vente, K. Venkadesh, B. van Ginneken and C. S'anchez, "SlicerNNInteractive: A 3D Slicer extension for nnInteractive", 2025.
   Url
3. A. Jiménez-Sánchez, N. Avlona, S. de Boer, V. Campello, A. Feragen, E. Ferrante, M. Ganz, J. Gichoya, C. González, S. Groefsema, A. Hering, A. Hulman, L. Joskowicz, D. Juodelyte, M. Kandemir, T. Kooi, J. Lérida, L. Li, A. Pacheco, T. Rädsch, M. Reyes, T. Sourget, B. van Ginneken, D. Wen, N. Weng, J. Xu, H. Zając, M. Zuluaga and V. Cheplygina, "In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review", Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025.
   Abstract DOI
4. X. Pham, M. Prokop, B. van Ginneken and A. Hering, "Divide to conquer: a field decomposition approach for multi-organ whole-body CT image registration", Medical Imaging 2025: Image Processing, 2025:48.
   DOI

PhD theses

1. J. van der Graaf, "AI-driven MRI analysis for low back pain management", PhD thesis, 2025.
   Abstract Url
2. H. Pinckaers, "Prognostic modeling for prostate cancer patients using gigapixel-sized images", PhD thesis, 2025.
   Abstract Url
3. L. Boulogne, "Accelerating research on 3D medical image classification and regression", PhD thesis, 2025.
   Abstract Url