Publications of Joeran Bosma

2025

Papers in international journals

  1. J.S. Bosma, L. Builtjes, A. Saha, J. Twilt, M. Tsiknakis, K. Marias, D. Regge, N. Papanikolaou, I. Schoots, J. Veltman, M. Elschot, D. Yakar, N. Obuchowski, M. Heinrich, A. Hering, M. de Rooij and H. Huisman, "Scalable Clinical Annotation with Location Evidence (SCALE)", Computers in Biology and Medicine, 2025;199:111321.
    DOI PMID
  2. 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
  3. J. Twilt, A. Saha, J.S. Bosma, A. Padhani, D. Bonekamp, G. Giannarini, R. van den Bergh, V. Kasivisvanathan, N. Obuchowski, D. Yakar, M. Elschot, J. Veltman, J. Fütterer, H. Huisman, M. de Rooij, P. Consortium, J. Twilt, A. Saha, J.S. Bosma, D. Yakar, M. Elschot, J. Veltman, J. Fütterer, M. de Rooij, H. Huisman, A. Bjartell, A. Padhani, D. Bonekamp, G. Villeirs, G. Salomon, G. Giannarini, J. Kalpathy-Cramer, J. Barentsz, K. Maier-Hein, M. Rusu, N. Obuchowski, O. Rouviere, R. van den Bergh, V. Panebianco, V. Kasivisvanathan, A. Malakoti-Fard, A. Dehghanpour, A. Moreira, A. Cazzato, A. Ponsiglione, A. Stanzione, B. de Keyzer, B. Pedersen, C. Page, C. Mai, D. Alis, D. Versteegden, E. Camisassa, E. Staal, F. Martini, F. Alessandrino, F. Jäderling, G. Agrotis, G. Avesani, G. Brembilla, G. Francese, H. Raat, H. Sahin, I. Schoots, I. Caglic, J. Zawaideh, L. Bittencourt, L. Mannacio, M. Gonçalves, M. Özdemir, M. Nahouraii, M. da Silva, M. Khurram, M. Choi, P. Franco, P. Correia, P. Riesenberger, P. Hanus, P. de Visschere, R. Guillaume, R. Cuocolo, R. Falcão, R. van Stiphout, R. Girometti, R. Gabriele, R. Briediene, R. Grigiene, S. Withey, S. Durmaz, S. Santos, T. Russo, T. Barrett, V. Forte, V. Tammisetti, V. Obmann, W. Weston, Y. Law, Y. Yuruk, Y. Chang and Y. Arita, "AI-Assisted vs Unassisted Identification of Prostate Cancer in Magnetic Resonance Images", JAMA Network Open, 2025;8:e2515672.
    Abstract DOI PMID
  4. S. Fransen, J.S. Bosma, Q. van Lohuizen, C. Roest, F. Simonis, T. Kwee, D. Yakar and H. Huisman, "Simulating workload reduction with an AI-based prostate cancer detection pathway using a prediction uncertainty metric", European Radiology, 2025.
    Abstract DOI PMID
  5. J.S. Bosma, K. Dercksen, L. Builtjes, R. André, C. Roest, S. Fransen, C. Noordman, M. Navarro-Padilla, J. Lefkes, N. Alves, M. de Grauw, L. van Eekelen, J. Spronck, M. Schuurmans, B. de Wilde, W. Hendrix, W. Aswolinskiy, A. Saha, J. Twilt, D. Geijs, J. Veltman, D. Yakar, M. de Rooij, F. Ciompi, A. Hering, J. Geerdink, H. Huisman, O. behalf of the consortium, M. de Grauw, L. van Eekelen, B. de Wilde, Q. van Lohuizen, M. Stegeman, K. Rutten, I. Smit, G. Stultiens, C. Overduin, M. Rutten, E. Scholten, R. van der Post, K. Grünberg, S. Vos, E. Taken, I. Nagtegaal, A. Mickan, M. Groeneveld, P. Gerke, J. Meakin, M. Looijen-Salamon, T. de Haas, F. Hoitsma, M. D'Amato and M. de Rooij, "The DRAGON benchmark for clinical NLP", npj Digital Medicine, 2025;8.
    Abstract DOI PMID
  6. A. Moradi, F. Zerka, J. Bosma, M. Sunoqrot, B. Abrahamsen, D. Yakar, J. Geerdink, H. Huisman, T. Bathen and M. Elschot, "Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study", Radiology: Artificial Intelligence, 2025.
    Abstract DOI
  7. B. Obreja, J. Bosma, K. Venkadesh, Z. Saghir, M. Prokop and C. Jacobs, "Characterizing the Impact of Training Data on Generalizability: Application in Deep Learning to Estimate Lung Nodule Malignancy Risk", Radiology: Artificial Intelligence, 2025.
    Abstract DOI

Preprints

  1. A. Saha, J.S. Bosma, J. Twilt, A. Ng, A. Asif, K. Magudia, P. Larson, Q. Xie, X. Zhang, C. Minh, S. Gitau, I. Schoots, M. Boomsma, R. Cuocolo, N. Papanikolaou, D. Regge, D. Yakar, M. Elschot, J. Veltman, B. Turkbey, N. Obuchowski, J. Fütterer, A. Padhani, H. Ahmed, T. Nordström, M. Eklund, V. Kasivisvanathan, M. de Rooij and H. Huisman, "Scaling Artificial Intelligence for Prostate Cancer Detection on MRI towards Population-Based Screening and Primary Diagnosis in a Global, Multiethnic Population (Study Protocol)", arXiv:2508.03762, 2025.
    Abstract DOI arXiv