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.
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.
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.
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.
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.
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.
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.
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.
A. Schipper, P. Belgers, R. O'Connor, K. Jie, R. Dooijes, J.S. Bosma, S. Kurstjens, R. Kusters, B. van Ginneken and M. Rutten, "Machine-learning based prediction of appendicitis for patients presenting with acute abdominal pain at the emergency department",
World Journal of Emergency Surgery,
2024;19.
J. Twilt, A. Saha, J.S. Bosma, B. van Ginneken, A. Bjartell, A. Padhani, D. Bonekamp, G. Villeirs, G. Salomon, G. Giannarini, J. Kalpathy-Cramer, J. Barentsz, K. Maier-Hein, M. Rusu, O. Rouviè, R. van den Bergh, V. Panebianco, V. Kasivisvanathan, N. Obuchowski, D. Yakar, M. Elschot, J. Veltman, J. Fütterer, H. Huisman and M. de Rooij, "Evaluating Biparametric Versus Multiparametric Magnetic Resonance Imaging for Diagnosing Clinically Significant Prostate Cancer: An International, Paired, Noninferiority, Confirmatory Observer Study",
European Urology,
2024.
C. Roest, D. Yakar, D. Rener Sitar, J.S. Bosma, D. Rouw, S. Fransen, H. Huisman and T. Kwee, "Multimodal AI Combining Clinical and Imaging Inputs Improves Prostate Cancer Detection",
Investigative Radiology,
2024.
A. Saha, J.S. Bosma, J. Twilt, B. van Ginneken, A. Bjartell, A. Padhani, D. Bonekamp, G. Villeirs, G. Salomon, G. Giannarini, J. Kalpathy-Cramer, J. Barentsz, K. Maier-Hein, M. Rusu, O. Rouviere, R. van den Bergh, V. Panebianco, V. Kasivisvanathan, N. Obuchowski, D. Yakar, M. Elschot, J. Veltman, J. Futterer, C. Noordman, I. Slootweg, C. Roest, S. Fransen, M. Sunoqrot, T. Bathen, D. Rouw, J. Immerzeel, J. Geerdink, C. van Run, M. Groeneveld, J. Meakin, A. Karagoz, A. Bone, A. Routier, A. Marcoux, C. Abi-Nader, C. Li, D. Feng, D. Alis, E. Karaarslan, E. Ahn, F. Nicolas, G. Sonn, I. Bhattacharya, J. Kim, J. Shi, H. Jahanandish, H. An, H. Kan, I. Oksuz, L. Qiao, M. Rohe, M. Yergin, M. Khadra, M. Seker, M. Kartal, N. Debs, R. Fan, S. Saunders, S. Soerensen, S. Moroianu, S. Vesal, Y. Yuan, A. Malakoti-Fard, A. Maciunien, A. Kawashima, A. de de Machadov, A. Moreira, A. Ponsiglione, A. Rappaport, A. Stanzione, A. Ciuvasovas, B. Turkbey, B. de Keyzer, B. Pedersen, B. Eijlers, C. Chen, C. Riccardo, D. Alis, E. Courrech Staal, F. Jaderling, F. Langkilde, G. Aringhieri, G. Brembilla, H. Son, H. Vanderlelij, H. Raat, I. Pikuniene, I. Macova, I. Schoots, I. Caglic, J. Zawaideh, J. Wallstrom, L. Bittencourt, M. Khurram, M. Choi, N. Takahashi, N. Tan, P. Franco, P. Gutierrez, P. Thimansson, P. Hanus, P. Puech, P. Rau, P. de Visschere, R. Guillaume, R. Cuocolo, R. Falcao, R. van Stiphout, R. Girometti, R. Briediene, R. Grigiene, S. Gitau, S. Withey, S. Ghai, T. Penzkofer, T. Barrett, V. Tammisetti, V. Logager, V. Cerny, W. Venderink, Y. Law, Y. Lee, M. de Rooij and H. Huisman, "Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study",
The Lancet Oncology,
2024;25(7):879-887.
S. Fransen, C. Roest, Q. Van Lohuizen, J.S. Bosma, F. Simonis, T. Kwee, D. Yakar and H. Huisman, "Using deep learning to optimize the prostate MRI protocol by assessing the diagnostic efficacy of MRI sequences",
European Journal of Radiology,
2024;175:111470.
A. Hering, S. de Boer, A. Saha, J. Twilt, D. Yakar, M. de Rooij, H. Huisman and J.S. Bosma, "Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis",
arXiv:2404.09666,
2024.
A. Hering, S. de Boer, A. Saha, J. Twilt, M. Heinrich, D. Yakar, M. de Rooij, H. Huisman and J.S. Bosma, "Deformable MRI Sequence Registration for AI-Based Prostate Cancer Diagnosis",
Biomedical Image Registration,
2024:148-162.
N. Alves, J.S. Bosma, K. Venkadesh, C. Jacobs, Z. Saghir, M. de Rooij, J. Hermans and H. Huisma, "Erratum for: Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT",
Radiology,
2023;309.
C. Noordman, D. Yakar, J.S. Bosma, F. Simonis and H. Huisman, "Complexities of deep learning-based undersampled MR image reconstruction",
European Radiology Experimental,
2023;7.
N. Alves, J.S. Bosma, K. Venkadesh, C. Jacobs, Z. Saghir, M. de Rooij, J. Hermans and H. Huisman, "Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT",
Radiology,
2023;308(3):e230275.
J.S. Bosma, A. Saha, M. Hosseinzadeh, I. Slootweg, M. de Rooij and H. Huisman, "Semi-supervised Learning with Report-guided Pseudo Labels for Deep Learning-based Prostate Cancer Detection Using Biparametric MRI",
Radiology: Artificial Intelligence,
2023:e230031.
M. Hosseinzadeh, A. Saha, J. Bosma and H. Huisman, "Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal Segmentation",
arXiv:2305.05984,
2023.
J.S. Bosma, D. Peeters, N. Alves, A. Saha, Z. Saghir, C. Jacobs and H. Huisman, "Reproducibility of Training Deep Learning Models for Medical Image Analysis",
Medical Imaging with Deep Learning,
2023.
A. Saha, J.S. Bosma, J. Twilt, B. van Ginneken, D. Yakar, M. Elschot, J. Veltman, J. Futterer, M. de Rooij and H. Huisman, "Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: The PI-CAI Challenge",
Medical Imaging with Deep Learning,
2023.
J. Twilt, A. Saha, J.S. Bosma, B. van Ginneken, D. Yakar, M. Elschot, J. Veltman, J. Futterer, H. Huisman and M. de Rooij, "International Comparative Study of Artificial Intelligence and Radiologists in Clinically Significant Prostate Cancer Detection: Results From The PI-CAI Consortium",
Annual Meeting of the Society for Advanced Body Imaging,
2023.
J. Twilt, A. Saha, J.S. Bosma, B. van Ginneken, D. Yakar, M. Elschot, J. Veltman, J. Futterer, H. Huisman and M. de Rooij, "EAU Plenary Gamechanging Session - Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: Preliminary Results from the PI-CAI Challenge",
Annual European Association of Urology Congress,
2023.
A. Saha, J.S. Bosma, J. Twilt, B. van Ginneken, D. Yakar, M. Elschot, J. Veltman, J. Futterer, M. de Rooij and H. Huisman, "Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: The PI-CAI Challenge",
European Congress of Radiology,
2023.
J. Twilt, A. Saha, J.S. Bosma, B. van Ginneken, D. Yakar, M. Elschot, J. Veltman, J. Futterer, H. Huisman and M. de Rooij, "Diagnostic Value of Dynamic Contrast-Enhanced MRI for the Detection of Clinically Significant Prostate Cancer in a Multi-Reader Study: Preliminary Results from the PI-CAI Consortium",
European Congress of Radiology,
2023.
N. Alves, M. Schuurmans, G. Litjens, J.S. Bosma, J. Hermans and H. Huisman, "Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography",
Cancers,
2022:376.
S. Fransen, C. Roest, Q. van Lohuizen, J. Bosma, T. Kwee, D. Yakar and H. Huisman, "Diagnostic AI to speed up MRI protocols by identifying redundant sequences: are all diffusion-weighted prostate MRI sequences necessary?",
Annual Meeting of the Radiological Society of North America,
2022.
A. Saha, J.S. Bosma, J. Twilt, B. van Ginneken, D. Yakar, M. Elschot, J. Veltman, J. Futterer, M. de Rooij and H. Huisman, "Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: The PI-CAI Challenge",
Annual Meeting of the Radiological Society of North America,
2022.
N. Alves, J.S. Bosma and H. Huisman, "Towards Safe Clinical Use of Artificial Intelligence for Cancer Detection Through Uncertainty Quantification",
Annual Meeting of the Radiological Society of North America,
2022.
J.S. Bosma, N. Alves and H. Huisman, "Performant and Reproducible Deep Learning Based Cancer Detection Models for Medical Imaging",
Annual Meeting of the Radiological Society of North America,
2022.
J.S. Bosma, A. Saha, M. Hosseinzadeh, I. Slootweg, M. de Rooij and H. Huisman, "Annotation-efficient cancer detection with report-guided lesion annotation for deep learning-based prostate cancer detection in bpMRI",
arXiv:2112.05151,
2021.
A. Saha, J.S. Bosma, J. Linmans, M. Hosseinzadeh and H. Huisman, "Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI -- Should Different Clinical Objectives Mandate Different Loss Functions?",
Medical Imaging Meets NeurIPS Workshop - 35th Conference on Neural Information Processing Systems (NeurIPS),
2021.
J.S. Bosma, A. Saha, M. Hosseinzadeh and H. Huisman, "Augmenting AI with Automated Segmentation of Report Findings Applied to Prostate Cancer Detection in Biparametric MRI",
Annual Meeting of the Radiological Society of North America,
2021.
A. Saha, J.S. Bosma, C. Roest, M. Hosseinzadeh, J. Futterer and H. Huisman, "Deep Learning with Bayesian Inference for Prostate Cancer Diagnosis across Longitudinal Biparametric MRI",
Annual Meeting of the Radiological Society of North America,
2021.
J.S. Bosma, A. Saha, M. Hosseinzadeh and H. Huisman, "Augmenting AI with Automated Segmentation of Report Findings Applied to Prostate Cancer Detection in Biparametric MRI",
Master thesis,
2021.