N. Alves, M. Schuurmans, D. Rutkowski, A. Saha, P. Vendittelli, N. Obuchowski, M. Liedenbaum, I. Haldorsen, A. Molven, D. Yakar, J. Geerdink, S. van Koeverden, D. Riviere, W. Venderink, R. de Haas, N. Kim, J. Löhr, G. Suman, K. Maier-Hein, H. Hahn, W. Wang, A. Yuille, A. Kambadakone, E. Fishman, C. Verbeke, G. Litjens, J. Hermans, H. Huisman, N. Alves, M. Schuurmans, A. Saha, P. Vendittelli, G. Litjens, J. Hermans, H. Huisman, D. Riviere, W. Venderink, S. van Koeverden, D. Rutkowski, M. Liedenbaum, I. Haldorsen, A. Molven, D. Yakar, R. de Haas, J. Geerdink, J. Veltman, A. Yuille, A. Kambadakone, C. Verbeke, C. Matos, E. Fishman, G. Suman, H. Hahn, K. Maier-Hein, J. Löhr, N. Kim, N. Obuchowski, S. Gallinger, W. Wang, A. Stunt, H. Liu, R. Gao, S. Grbic, Z. Deng, Y. He, Y. Shi, R. Vétil, N. Debs, C. Abi-Nader, A. Bône, M. Rohé, C. Yu, J. Ma, T. Fu, B. Wang, A. Bezuidenhout, A. Huber, A. Liguori, A. Korchi, A. Ponsiglione, A. Schulz, A. Stanzione, A. Minieri, B. Chen, C. Maino, C. Triantopoulou, D. Christodoulou, D. Geisel, D. Koh, E. Boffa, E. Boninsegna, E. Genco, E. Soloff, E. Lettieri, F. Omboni, F. Castagnoli, F. Prato, F. Wessels, G. Avesani, G. Porrello, G. Brembilla, G. Morana, G. Zamboni, G. di Costanzo, G. Juliusson, H. Jenssen, H. Zandvoort, J. Pijls, J. Prince, K. De Paepe, K. Petrovic, L. van Valkenhoef, L. Fortuna, L. Mannacio, M. Engelbrecht, M. Chincarini, M. Dioguardi Burgio, M. Zerunian, M. Imbriaco, M. Bariani, M. Bonatti, M. Ronot, N. Norstedt, N. Kurt, N. Patel, P. Sbeghen, P. Patel, P. Bonaffini, R. Mucelli, R. Büyüktoka, R. Geenen, R. Cuocolo, R. Valletta, R. Musella, R. Cannella, R. Dwarkasing, S. Venturini, S. Gourtsoyianni, S. Malekzadeh, U. Tupputi, V. Obmann and V. Liu, "Artificial intelligence and radiologists in pancreatic cancer detection using standard of care CT scans (PANORAMA): an international, paired, non-inferiority, confirmatory, observational study",
The Lancet Oncology,
2025.
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.
C. Noordman, L. te Molder, M. Maas, C. Overduin, J. Fütterer and H. Huisman, "Real-Time Deep-Learning Image Reconstruction and Instrument Tracking in MR-Guided Biopsies",
Journal of Magnetic Resonance Imaging,
2025.
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.
C. Noordman, S. Borgers, M. Boomsma, T. Kwee, M. van der Lees, C. Overduin, M. de Rooij, D. Yakar, J. Fütterer and H. Huisman, "Deep learning-based temporal MR image reconstruction for accelerated interventional imaging during in-bore biopsies",
Journal of Medical Imaging,
2025;12.
M. Schuurmans, A. Saha, N. Alves, P. Vendittelli, D. Yakar, S. Sabroso-Lasa, N. Xue, N. Malats, H. Huisman, J. Hermans and G. Litjens, "End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study",
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.
N. Rodrigues, J. de Almeida, A. Verde, A. Gaivão, C. Bireiro, I. Santiago, J. Ip, S. Belião, C. Matos, L. Vanneschi, M. Tsiknakis, K. Marias, D. Regge, S. Silva, T. Consortium, M. Tsiknakis, K. Marias, S. Sfakianakis, V. Kalokyri, E. Trivizakis, G. Kalliatakis, A. Dimitriadis, D. Fotiadis, N. Tachos, E. Mylona, D. Zaridis, C. Kalantzopoulos, N. Papanikolaou, J. de Almeida, A. Verde, A. Rodrigues, N. Rodrigues, M. Chambel, H. Huisman, M. Rooij, A. Saha, J. Twilt, J. Futterer, L. Martí-Bonmatí, L. Cerdá-Alberich, G. Ribas, S. Navarro, M. Marfil, E. Neri, G. Aringhieri, L. Tumminello, V. Mendola, D. Akata, M. Özmen, A. Karaosmanoglu, F. Atak, M. Karcaaltincaba, J. Vilanova, J. Usinskiene, R. Briediene, A. Untanas, K. Slidevska, K. Vasilis, G. Georgios, D. Koh, R. Emsley, S. Vit, A. Ribeiro, S. Doran, T. Jacobs, G. García-Martí, D. Regge, V. Giannini, S. Mazzetti, G. Cappello, G. Maimone, V. Napolitano, S. Colantonio, M. Pascali, E. Pachetti, G. Corso, D. Germanese, A. Berti, G. Carloni, J. Kalpathy-Cramer, C. Bridge, J. Correia, W. Hernandez, Z. Giavri, C. Pollalis, D. Agraniotis, A. Pastor, J. Mora, C. Saillant, T. Henne, R. Marquez and N. Papanikolaou, "Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detector",
Scientific Reports,
2025;15.
B. Turkbey, H. Huisman, A. Fedorov, K. Macura, D. Margolis, V. Panebianco, A. Oto, I. Schoots, M. Siddiqui, C. Moore, O. Rouvière, L. Bittencourt, A. Padhani, C. Tempany and M. Haider, "Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-Naive Men: PI-RADS Steering Committee, Version 1.0",
Radiology,
2025;315.
C. Roest, T. Kwee, I. de Jong, I. Schoots, P. van Leeuwen, S. Heijmink, H. van der Poel, S. Fransen, A. Saha, H. Huisman and D. Yakar, "Development and Validation of a Deep Learning Model Based on MRI and Clinical Characteristics to Predict Risk of Prostate Cancer Progression",
Radiology: Imaging Cancer,
2025;7.
L. Thijssen, M. de Rooij and H. Huisman, "External validation of automated prostate MR T2-weighted image quality assessment on multi-centre multi-vendor data",
European Journal of Radiology Artificial Intelligence,
2025;1:100002.
H. Long, L. Hu, L. Wei, L. Dai, C. Fu, Y. Lu, C. Xu, Z. Hu, L. Wang, Z. Xu, R. Grimm, H. Busch, T. Benkert, A. Kamen, B. Lou, H. Huisman, A. Tong, T. Penzkofer, M. Choi, I. Shabunin, D. Winkel, P. Xing, D. Szolar, F. Coakley, S. Shea, E. Szurowska, W. Zhu and J. Zhao, "Improved prostate cancer diagnosis: upgraded prostate imaging reporting and data system (PI-RADS) scores by zoomed diffusion-weighted imaging enhance deep-learning-based computer-aided diagnosis accuracy",
Quantitative Imaging in Medicine and Surgery,
2025;15:2132-2145.
M. Klontzas, K. Groot Lipman, T. D' Akinci Antonoli, A. Andreychenko, R. Cuocolo, M. Dietzel, S. Gitto, H. Huisman, J. Santinha, F. Vernuccio, J. Visser and M. Huisman, "ESR Essentials: common performance metrics in AI--practice recommendations by the European Society of Medical Imaging Informatics",
European Radiology,
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.
Q. Lohuizen, S. Fransen, G. Yiasemis, C. Roest, F. Simonis, T. Kwee, D. Yakar and H. Huisman, "Deep learning reconstruction for prostate MRI: Impact of field-of-view selection on global and regional image quality",
European Journal of Radiology Artificial Intelligence,
2025;2:100017.
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.
G. Lozupone, A. Bria, F. Fontanella, F. Meijer, C. Stefano and H. Huisman, "Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging",
2025.