Publications

all all years 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 and before most cited

2025

Papers in international journals

M. D'Amato, J. van der Laak and F. Ciompi, "Weakly supervised regression enables interpretable tumor detection in whole-slide histopathology without negative cases", Scientific Reports, 2025;15.
Abstract DOI PMID
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.
DOI PMID
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
M. Besouw, N. van Acht, D. van Gruijthuijsen, T. van Nunen, J. van der Leer, M. van der Sangen, J. Theuws, J. Kleijnen, A. Kanter, C. Papalazarou, M. Immink, R. Kierkels and C. Hurkmans, "A multi-centre evaluation of deep learning based radiotherapy planning for left-sided node-negative breast cancer", Phys Imaging Radiat Oncol., 2025;36:100839.
DOI PMID
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
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.
Abstract DOI PMID
C. Schaefer-Prokop, C. Herold and D. Kifjak, "Lungenbeteiligung im Rahmen systemischer Erkrankungen", Die Radiologie, 2025;65:729-730.
Abstract DOI PMID
L. Stam, S. Linden, R. Aquarius, A. Hering, L. Oostveen, F. Meijer and H. Boogaarts, "In-vivo cerebral artery pulsation assessment with Dynamic computed tomography angiography", European Journal of Radiology, 2025;182:111828.
DOI PMID
E. de la Rosa, M. Reyes, S. Liew, A. Hutton, R. Wiest, J. Kaesmacher, U. Hanning, A. Hakim, R. Zubal, W. Valenzuela, D. Robben, D. Sima, V. Anania, A. Brys, J. Meakin, A. Mickan, G. Broocks, C. Heitkamp, S. Gao, K. Liang, Z. Zhang, M. Rahman Siddiquee, A. Myronenko, P. Ashtari, S. Van Huffel, H. Jeong, C. Yoon, C. Kim, J. Huo, S. Ourselin, R. Sparks, A. Clèrigues, A. Oliver, X. Lladó, L. Chalcroft, I. Pappas, J. Bertels, E. Heylen, J. Moreau, N. Hatami, C. Frindel, A. Qayyum, M. Mazher, D. Puig, S. Lin, C. Juan, T. Hu, L. Boone, M. Goubran, Y. Liu, S. Wegener, F. Kofler, I. Ezhov, S. Shit, M. Hernandez Petzsche, M. Müller, B. Menze, J. Kirschke and B. Wiestler, "DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge", Nature Communications, 2025;16.
Abstract DOI PMID
H. Häntze, L. Xu, M. Rattunde, L. Donle, F. Dorfner, A. Hering, J. Nawabi, L. Adams and K. Bressem, "MRI annotation using an inversion-based preprocessing for CT model adaptation", European Radiology Experimental, 2025;9.
Abstract DOI PMID
S. van Duijvenboden, J. Ramírez, J. Scheurink, S. Darweesh, M. Orini, A. Tinker, P. Munroe, J. Thannhauser, L. Evers, J. IntHout, P. Lambiase, B. Bloem, A. Doherty and M. Brouwer, "Heart Rate Profiles During Exercise and Incident Parkinson's Disease", Annals of Neurology, 2025;98:1004-1013.
Abstract DOI PMID
R. Lomans, V. Angerilli, J. Spronck, L. Kodach, I. Gullo, F. Carneiro, R. van der Post and F. Ciompi, "Deep learning for multiclass tumor cell detection in histopathology slides of hereditary diffuse gastric cancer", iScience, 2025;28:113064.
DOI PMID
N. Antonissen, O. Tryfonos, I. Houben, C. Jacobs, M. de Rooij and K. van Leeuwen, "Artificial intelligence in radiology: 173 commercially available products and their scientific evidence", European Radiology, 2025.
Abstract DOI PMID
R. Dinnessen, D. Peeters, N. Antonissen, F. Mohamed Hoesein, H. Gietema, E. Scholten, C. Schaefer-Prokop and C. Jacobs, "Performance of a screening-trained DL model for pulmonary nodule malignancy estimation of incidental clinical nodules", European Radiology, 2025.
Abstract DOI PMID
A. Snoeckx, M. Silva, H. Prosch, J. Biederer, T. Frauenfelder, F. Gleeson, C. Jacobs, H. Kauczor, A. Parkar, C. Schaefer-Prokop, M. Prokop and M. Revel, "Lung cancer screening with low-dose CT: definition of positive, indeterminate, and negative screen results. A nodule management recommendation from the European Society of Thoracic Imaging", European Radiology, 2025.
Abstract DOI PMID
M. Prokop, C. Schaefer-Prokop, C. Jacobs, A. Snoeckx, J. Biederer, T. Frauenfelder, F. Gleeson, H. Kauczor, A. Parkar, R. Vliegenthart, M. Revel, M. Silva and H. Prosch, "Aggressiveness-guided nodule management for lung cancer screening in Europe--justification for follow-up intervals and definition of growth", European Radiology, 2025.
Abstract DOI PMID
E. van der Heijden, M. Snoeren and C. Jacobs, "Incidentele longnoduli op CT-scan: wat te doen? [Incidental pulmonary nodules on CT imaging: what to do?]", Nederlands Tijdschrift voor Geneeskunde, 2025;169:D8431.
PMID
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
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
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
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.
DOI PMID
M. Tran, P. Schmidle, R. Guo, S. Wagner, V. Koch, V. Lupperger, B. Novotny, D. Murphree, H. Hardway, M. D'Amato, J. Lefkes, D. Geijs, A. Feuchtinger, A. Böhner, R. Kaczmarczyk, T. Biedermann, A. Amir, A. Mooyaart, F. Ciompi, G. Litjens, C. Wang, N. Comfere, K. Eyerich, S. Braun, C. Marr and T. Peng, "Generating dermatopathology reports from gigapixel whole slide images with HistoGPT", Nature Communications, 2025;16.
Abstract DOI PMID
D. van Midden, L. Studer, M. Hermsen, E. Steenbergen, J. Kers, N. Kozakowski, Z. Kikic, L. Hilbrands and J. van der Laak, "Deep learning-based histopathologic segmentation of peritubular capillaries in kidney transplant biopsies", Computers in biology and medicine, 2025;193:110395.
DOI PMID
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.
Abstract DOI PMID
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
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
T. Haddad, J. Bokhorst, L. van den Dobbelsteen, S. Öztürk, E. Baumann, S. van Vliet, K. Verrijp, N. Jamieson, C. Wood, M. Berger, R. Kirsch, M. Aben, N. Rutgers, H. Ueno, F. Ciompi, F. Simmer, J. van der Laak, A. Lugli, I. Zlobec and I. Nagtegaal, "Tumor budding and poorly differentiated clusters as a biological continuum in colorectal cancer invasion and prognosis", Scientific Reports, 2025;15.
Abstract DOI PMID
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.
Abstract DOI PMID
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.
Abstract DOI PMID
T. Luttikholt, J. Thannhauser and N. van Royen, "Detection of large areas of thin-cap fibroatheroma in a recurrent STEMI patient using a novel artificial intelligence algorithm: moving from 2D to 3D", European Heart Journal, 2025.
DOI PMID
A. Farris, J. van der Laak and D. van Midden, "Artificial intelligence-enhanced interpretation of kidney transplant biopsy: focus on rejection", Current Opinion in Organ Transplantation, 2025.
Abstract DOI PMID
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
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.
Abstract DOI PMID
D. Peeters, K. Venkadesh, R. Dinnessen, Z. Saghir, E. Scholten, R. Vliegenthart, M. Prokop and C. Jacobs, "Towards safe and reliable deep learning for lung nodule malignancy estimation using out-of-distribution detection", Computers in Biology and Medicine, 2025;186:109633.
Abstract DOI PMID
N. Billingy, C. Verberkt, I. Bahce, M. Hassing, J. Schoorlemmer, M. Sarioglu, S. Senan, E. Aarntzen, E. Comans, W. Kievit, S. Teerenstra, C. Jacobs, A. Keijser, M. Heuvel, A. Becker-Commissaris and I. Walraven, "Beneficial value of [18F]FDG PET/CT in the follow-up of patients with stage III non-small cell lung cancer (NVALT31-PET study): study protocol of a multicentre randomised controlled trial", BMJ Open, 2025;15(7).
Abstract DOI
T. Gootzen, A. Bouwmeester, J. de Hullu, J. Piek, J. van der Laak, M. Simons and M. Steenbeek, "Pathogenesis of peritoneal high-grade serous carcinoma after risk-reducing surgery: a systematic review", The Journal of Pathology: Clinical Research, 2025;11.
Abstract DOI
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.
DOI
W. Aswolinskiy, R. van der Post, M. Campora, C. Baronchelli, L. Ardighieri, S. Vatrano, J. van der Laak, E. Munari, M. Simons, I. Nagtegaal and F. Ciompi, "Attention-Based Whole-Slide Image Compression Achieves Pathologist-Level Prescreening of Multiorgan Routine Histopathology Biopsies", Modern Pathology, 2025;38(11):100827.
Abstract DOI
R. van den Elshout, J. Schoenmakers, A. Veltien, L. Boer, B. Küsters, G. Litjens, F. Meijer, A. van der Kolk, T. Scheenen, M. Wiesmann and D. Henssen, "Post-mortem 11.7 T DTI validation of myeloarchitectural changes in glioblastoma infiltration: Correlation with histology and PLI", Brain Research Bulletin, 2025;230:111526.
DOI
N. Antonissen, K. Venkadesh, R. Dinnessen, E. Scholten, Z. Saghir, M. Silva, U. Pastorino, G. Sidorenkov, M. Heuvelmans, G. de Bock, F. Mohamed Hoesein, P. de Jong, H. Groen, R. Vliegenthart, H. Gietema, M. Prokop, C. Schaefer-Prokop, C. Jacobs, F. the consortium, J. Aerts, R. Cornelissen, R. Stadhouders, J. van Rooij, L. Trap, K. Nackaerts, W. de Wever, H. Gietema, M. Prokop, C. Jacobs, N. Antonissen, G. de Bock, M. Heuvelmans, G. Sidorenkov, D. Zhong, H. Groen, R. Vliegenthart, N. van der Velden, P. de Jong, F. Mohamed Hoesein, S. Bunk, G. Downward and R. Vermeulen, "External Test of a Deep Learning Algorithm for Pulmonary Nodule Malignancy Risk Stratification Using European Screening Data", Radiology, 2025;316.
Abstract DOI
M. Vitale, "Beyond 'artificial intelligence': against anthropomorphizing algorithmic systems for screening", Tijdschrift voor Geneeskunde en Ethiek (TGE), 2025;35(3):85-87.
A. Frei, A. Khan, R. Oberson, S. Reinhard, Y. Banz, F. Meeuwsen, A. Janowczyk, R. Grobholz, H. Dawson, A. Lugli, M. Ilié, J. van der Laak and I. Zlobec, "Computer-aided tumor cell fraction (TCF) estimation by medical students, residents, and pathologists improves inter-observer agreement while highlighting the risk of automation bias", Virchows Archiv, 2025.
Abstract DOI
S. Gaur, M. Vitale, A. Hering, J. Kwisthout, C. Jacobs, L. Philipp and F. van der Graaf, "Fairness Evaluation of Risk Estimation Models for Lung Cancer Screening", Machine Learning for Biomedical Imaging, 2025;3:559-580.
Abstract DOI
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
L. Cai, A. Pfob, R. Barr, V. Duda, Z. Alwafai, C. Balleyguier, D. Clevert, S. Fastner, C. Gomez, M. Goncalo, I. Gruber, M. Hahn, P. Kapetas, J. Nees, R. Ohlinger, F. Riedel, M. Rutten, A. Stieber, R. Togawa, C. Sidey-Gibbons, M. Tozaki, S. Wojcinski, J. Heil and M. Golatta, "Deep Learning Model for Breast Shear Wave Elastography to Improve Breast Cancer Diagnosis (INSPiRED 006): An International, Multicenter Analysis", Journal of Clinical Oncology, 2025.
Abstract DOI
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.
Abstract DOI
G. Koons, "Toward Sex-Specific Biomaterials Innovation: A Perspective", ACS Biomaterials Science & Engineering, 2025;11(9):5131-5144.
Abstract DOI
M. Revel, J. Biederer, A. Nair, M. Silva, C. Jacobs, A. Snoeckx, M. Prokop, H. Prosch, A. Parkar, T. Frauenfelder and A. Larici, "ESR Essentials: lung cancer screening with low-dose CT--practice recommendations by the European Society of Thoracic Imaging", European Radiology, 2025.
Abstract DOI
R. van Herten, I. Lagogiannis, J. Wolterink, S. Bruns, E. Meulendijks, D. Dey, J. de Groot, J. Henriques, R. Planken, S. Saitta and I. Isgum, "World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography", Medical Image Analysis, 2025;103:103582.
DOI
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.
DOI
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
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
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.
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
C. Grisi, K. Kartasalo, M. Eklund, L. Egevad, J. van der Laak and G. Litjens, "Hierarchical Vision Transformers for prostate biopsy grading: Towards bridging the generalization gap", Medical Image Analysis, 2025;105:103663.
DOI

Preprints

N. Rocholl, E. Smit, M. Prokop and A. Hering, "Unstable Prompts, Unreliable Segmentations: A Challenge for Longitudinal Lesion Analysis", arXiv:2507.19230, 2025.
Abstract DOI arXiv
W. Heyer, Y. Elser, L. Berkel, X. Song, X. Xu, P. Yan, X. Jia, J. Duan, Z. Li, T. Mok, B. LI, C. Staackmann, C. Gro\ssbr öhmer, L. Hansen, A. Hering, M. Sieren and M. Heinrich, "OncoReg: Medical Image Registration for Oncological Challenges", arXiv:2503.23179, 2025.
Abstract DOI arXiv
C. Lems, L. Tessier, J. Bokhorst, M. van Rijthoven, W. Aswolinskiy, M. Pozzi, N. Klubickova, S. Dintzis, M. Campora, M. Balkenhol, P. Bult, J. Spronck, T. Detone, M. Barbareschi, E. Munari, G. Bogina, J. Wesseling, E. Lips, F. Ciompi, F. Meeuwsen and J. van der Laak, "A Multicentric Dataset for Training and Benchmarking Breast Cancer Segmentation in H&E Slides", arXiv:2510.02037, 2025.
Abstract DOI arXiv
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
S. Sun, L. Tessier, F. Meeuwsen, C. Grisi, D. van Midden, G. Litjens and C. Baumgartner, "Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology", arXiv:2501.02922, 2025.
Abstract DOI arXiv
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
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
J. Chen, S. Wei, J. Honkamaa, P. Marttinen, H. Zhang, M. Liu, Y. Zhou, Z. Tan, Z. Wang, Y. Wang, H. Zhou, S. Hu, Y. Zhang, Q. Tao, L. Förner, T. Wendler, B. Jian, B. Wiestler, T. Hable, J. Kim, D. Ruan, F. Madesta, T. Sentker, W. Heyer, L. Zuo, Y. Dai, J. Wu, J. Prince, H. Bai, Y. Du, Y. Liu, A. Hering, R. Dorent, L. Hansen, M. Heinrich and A. Carass, "Beyond the LUMIR challenge: The pathway to foundational registration models", arXiv:2505.24160, 2025.
Abstract DOI arXiv
L. Hansen, W. Heyer, C. Gro\ssbr öhmer, F. Madesta, T. Sentker, W. Jiazheng, Y. Zhang, H. Zhang, M. Liu, J. Wang, X. Zhu, Y. Li, L. Wang, D. Morozov, N. Haouchine, J. Honkamaa, P. Marttinen, Y. Zhou, Z. Tan, Z. Wang, Y. Wang, H. Zhou, S. Hu, Y. Zhang, Q. Tao, L. Förner, T. Wendler, B. Jian, C. Wachinger, J. Kim, D. Ruan, M. Wodzinski, H. Müller, T. Mok, X. Jia, J. Duan, M. Brudfors, S. Ahmadi, Y. Zhu, W. Hsu, T. Kapur, W. Wells, A. Golby, A. Carass, H. Bai, Y. Liu, P. Paul-Gilloteaux, J. Lindblad, N. Sladoje, A. Walter, J. Chen, R. Dorent, A. Hering and M. Heinrich, "Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges", arXiv:2509.01217, 2025.
Abstract DOI arXiv
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
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
S. Sun, D. van Midden, G. Litjens and C. Baumgartner, "Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification", arXiv:2503.08384, 2025.
Abstract DOI arXiv
I. Slootweg, N. García-De-La-Puente, G. Litjens and S. Dammak, "Self-supervised large-scale kidney abnormality detection in drug safety assessment studies", arXiv:2509.00131, 2025.
Abstract DOI arXiv

Papers in conference proceedings

N. Khalili, J. Spronck, F. Ciompi, J. der Van Laak and G. Litjens, "A human-in-the-loop framework for refining deep learning models in pathology segmentation", Medical Imaging 2025: Digital and Computational Pathology, 2025:21.
DOI
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
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.
DOI
C. Lems, N. Klubíčková, B. Brattoli, T. Lee, S. Kim, V. Besler, P. Fernandez, L. Pons, A. Laurinavicius, J. Drachneris, D. Montezuma, D. Oliveira, S. Vos, M. Balkenhol, J. van Ipenburg, A. Vos, M. Poceviciute, N. Khalili and F. Ciompi, "Towards a multicentric open DigitAL PatHology assIstant beNchmark: Initial Results from the DALPHIN Study", Laboratory Investigation, 2025;105:103609.
DOI
J. Lefkes, M. D'Amato, S. Sun, G. Litjens and F. Ciompi, "Large Language Models Automate Diagnostic Conclusions Generation from Microscopic Descriptions in Multiple Cancer Types", Laboratory Investigation, 2025;105:103608.
DOI
C. de Vente, K. Venkadesh, B. van Ginneken and C. S'anchez, "SlicerNNInteractive: A 3D Slicer extension for nnInteractive", 2025.
Url
S. de Jong, A. Der Van Kroef, M. Groot, R. Verhoeven, E. Der Van Heijden and F. Ciompi, "AI-based benchmark to test the potential of 3-photon excited fluorescence in intraoperative lung cancer detection with multiphoton microscopy", European Respiratory Journal, 2025;66(suppl 69).
Abstract DOI
A. Billis, A. Hering, L. Jiang, C. Meyer, L. Adams, R. Cuocolo, A. Löser, J. Nawabi and K. Bressem, "Computational Models for Patient Stratification in Urologic Cancers - Creating Robust and Trustworthy Multimodal AI for Health Care", 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS), 2025:121-122.
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
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
J. Lefkes, C. Grisi and G. Litjens, "A Balancing Act: Optimizing Classification and Retrieval in Cross-Modal Vision Models", Medical Imaging with Deep Learning, 2025.
Abstract Url

Abstracts

R. Dinnessen, A. Antonissen, D. Peeters, H. Gietema, E. Scholten, C. Schaefer-Prokop and C. Jacobs, "Exploring AI-enabled nodule management for incidentally detected pulmonary nodules on CT.", Annual Meeting of the European Society of Thoracic Imaging, 2025.
Abstract
N. Antonissen, D. Peeters, B. Obreja, R. Dinnessen, Z. Saghir, M. Silva, U. Pastorino, E. Scholten, F. Mohamed Hoesein, R. Vliegenthart, H. Gietema, C. Schaefer-Prokop, M. Prokop and C. Jacobs, "Benchmarking radiologists and AI for indeterminate lung nodule malignancy risk estimation on screening CT: the LUNA25 Challenge", Annual Meeting of the Radiological Society of North America, 2025.
Abstract
D. Peeters, B. Obreja, N. Antonissen, R. Dinnessen, Z. Saghir, E. Scholten, R. Vliegenthart, M. Prokop and C. Jacobs, "Benchmarking of Artificial Intelligence and Radiologists for Lung Cancer Screening in CT: The LUNA25 Challenge", European Congress of Radiology, 2025.
Abstract
N. Antonissen, I. Houben, O. Tryfonos, M. De Rooij and K. Van Leeuwen, "Evolution of commercially available artificial intelligence in radiology: a follow-up on peer-reviewed evidence of 179 products", European Congress of Radiology, 2025.
Abstract
N. Antonissen, R. Dinnessen, D. Peeters, E. Scholten, F. Mohamed Hoesein, R. Vliegenthart, H. Gietema, C. Schaefer-Prokop, M. Prokop and C. Jacobs, "External test of a deep learning model incorporating prior imaging for risk stratification of persistent pulmonary nodules on follow-up CT", Annual Meeting of the Radiological Society of North America, 2025.
Abstract

PhD theses

L. Boulogne, "Accelerating research on 3D medical image classification and regression", PhD thesis, 2025.
Abstract Url
N. Alves, "Artificial intelligence for pancreatic cancer detection", PhD thesis, 2025.
Abstract Url
J. Linmans, "Uncertainty estimation in digital pathology: Towards applying artificial intelligence in an uncertain clinical world", PhD thesis, 2025.
Abstract Url
H. Pinckaers, "Prognostic modeling for prostate cancer patients using gigapixel-sized images", PhD thesis, 2025.
Abstract Url
E. Markus-Smeets, "Build bridges to break barriers: Using quantitative imaging to understand pancreas tumor biology", PhD thesis, 2025.
Abstract Url
T. de Bel, "Computational Pathology for Early Breast Cancer Diagnostics", PhD thesis, 2025.
Abstract Url
B. Sturm, "On digital and computational pathology - A paradigm shift towards pathology captured in pixels", PhD thesis, 2025.
Abstract Url
J. van der Graaf, "AI-driven MRI analysis for low back pain management", PhD thesis, 2025.
Abstract Url
M. Schuurmans, "Artificial intelligence for pancreatic cancer guided by clinical need", PhD thesis, 2025.
Abstract Url

Other publications

H. Häntze, M. Buser, A. Hering, L. Adams and K. Bressem, "Sex-Based Bias Inherent in the Dice Similarity Coefficient: A Model Independent Analysis for Multiple Anatomical Structures", Lecture Notes in Computer Science, 2025:125-134.
DOI PMID