Publications

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

2026

Papers in international journals

S. Scharm, C. Schaefer-Prokop, A. Schreuder, J. Ehmig, A. Hunkemöller, J. Fuge, B. Seeliger, J. Schupp, F. Wacker and H. Shin, "Extent of alveolar collapse in expiratory CT as a prognostic marker in idiopathic pulmonary fibrosis", PLOS One, 2026;21:e0345308.
Abstract DOI PMID
D. Zhong, G. Sidorenkov, M. Greuter, C. Jacobs, P. de Jong, H. Gietema, H. Groen, F. Mohamed Hoesein, N. Antonissen, R. Stadhouders, H. Lancaster, M. Heuvelmans, R. Vliegenthart and G. de Bock, "Improving Lung Cancer Screening Selection: A Comparative Analysis of Risk Models and Traditional Criteria in a Western European General Population", Cancers, 2026;18:724.
Abstract DOI PMID
F. Wilting, J. Douwes, A. Patel, F. Schreuder, R. Dammers, G. Hannink, W. Jolink, S. Pegge, L. Sondag, M. Wermer, H. van der Worp, F. Meijer and C. Klijn, "Deep learning-based automated segmentation of intracerebral haemorrhage, intraventricular haemorrhage and perihaematomal oedema on non-contrast CT", European Stroke Journal, 2026;11.
Abstract DOI PMID
S. Shojaei, D. Yakar, N. Vellinga, V. Bozgo, T. Kwee, H. Huisman and J. Mifsud Bonnici, "The AI Act and the MDR post-market requirements for semiautonomous AI SaMD: a radiology case study in prostate cancer", Abdominal Radiology, 2026.
Abstract DOI PMID
D. Schouten, J. van der Laak, D. Somford, H. Küsters-Vandevelde, N. Khalili and G. Litjens, "Three-dimensional reconstruction of gigapixel whole-mount histopathology specimens with RAPID", Scientific Reports, 2026.
Abstract DOI
T. Perik, G. Litjens, N. Alves, E. Smit, M. Stommel, E. van Geenen, H. Huisman and J. Hermans, "Quantitative CT Perfusion as a prognostic biomarker for chemotherapy response in patients with pancreatic ductal adenocarcinoma", Abdominal Radiology, 2026.
Abstract DOI
J. Twilt, A. Saha, J.S. Bosma, G. Giannarini, A. Padhani, D. Yakar, M. Elschot, J. Veltman, J. Fütterer, H. Huisman, M. de Rooij, F. the Consortium, A. Saha, J.S. Bosma, J. Twilt, B. van Ginneken, 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, 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, H. Huisman, J. Kalpathy-Cramer, J. Barentsz, K. Maier-Hein, M. Elschot, M. Rusu, N. Obuchowski, O. Rouviere, R. van den Bergh, V. Panebianco, V. Kasivisvanathan, A. Karagöz, A. Bône, 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. Rohé, M. Yergin, M. Rusu, M. Khadra, M. Seker, M. Kartal, N. Debs, R. Fan, S. Saunders, S. Soerensen, S. Moroianu, S. Vesal, Y. Yuan, A. Malakoti-Fard, A. Mačiunien, A. Kawashima, A. 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. Jäderling, F. Langkilde, G. Aringhieri, G. Brembilla, H. Son, H. Vanderlelij, H. Raat, I. Pikuniene, I. Macova, I. Schoots, I. Caglic, J. Zawaideh, J. Wallström, L. Bittencourt, M. Khurram, M. Choi, N. Takahashi, N. Tan, O. Rouvière, P. Franco, P. Gutierrez, P. Thimansson, P. Hanus, P. Puech, P. Rau, P. De Visschere, R. Guillaume, R. Cuocolo, R. Falcão, R. van Stiphout, R. Girometti, R. Briediene, R. Grigiene, S. Gitau, S. Withey, S. Ghai, T. Penzkofer, T. Barrett, V. Panebianco, V. Tammisetti, V. L\ogager , V. Černý, W. Venderink, Y. Law and Y. Lee, "Evaluating an AI-driven Triaging Workflow for MRI-based Clinically Significant Prostate Cancer Diagnosis: A Simulation Study", Radiology: Imaging Cancer, 2026;8.
Abstract DOI
Q. van Lohuizen, S. Fransen, G. Yiasemis, J. Twilt, C. Roest, Y. Arita, J. Borstlap, J. Fütterer, M. de Rooij, D. Rouw, I. Schoots, B. Turkbey, S. Withey, F. Simonis, H. Huisman, T. Kwee, J. Teuwen and D. Yakar, "Diagnostic assessment of artificial intelligence reconstruction on accelerated prostate MRI: a retrospective, paired, multi-reader multi-case study", European Radiology, 2026.
Abstract DOI

Preprints

C. Grisi, K. Faryna, N. Uysal, V. Agosti, E. Munari, S. Kammerer-Jacquet, P. Salles, Y. Tolkach, R. Büttner, S. Semko, M. Pikul, A. Heidenreich, J. van der Laak and G. Litjens, "Deep Learning From Routine Histology Improves Risk Stratification for Biochemical Recurrence in Prostate Cancer", arXiv:2603.14187, 2026.
Abstract DOI arXiv
M. Stegeman, L. Philipp, F. van der Graaf, M. D'Amato, C. Grisi, L. Builtjes, J.S. Bosma, J. Lefkes, R. Weber, J. Meakin, T. Koopman, A. Mickan, M. Prokop, E. Smit, G. Litjens, J. van der Laak, B. van Ginneken, M. de Rooij, H. Huisman, C. Jacobs, F. Ciompi and A. Hering, "Designing UNICORN: a Unified Benchmark for Imaging in Computational Pathology, Radiology, and Natural Language", arXiv:2603.02790, 2026.
Abstract DOI arXiv

Papers in conference proceedings

J. Tagscherer, S. de Boer, L. Philipp, F. van der Graaf, D. Peeters, J. Bosma, L. Leijten, B. Obreja, E. Smit and A. Hering, "EvalBlocks: A Modular Pipeline for Rapidly Evaluating Foundation Models in Medical Imaging", 2026.
arXiv
A. Arab, V. Garcia, S. Kahaki, M. van Rijthoven, R. Salgado, B. Gallas, F. Ciompi, N. Petrick and W. Chen, "Assessment of AI segmentation models in histopathology whole slide images: the effect of the unit of analysis", Medical Imaging 2026: Digital and Computational Pathology, 2026:31.
DOI
J. Dusseljee, S. de Boer and A. Hering, "Kidney Cancer Detection Using 3D-Based Latent Diffusion Models", 2026.
arXiv
M. van Lente, K. Verdonschot, G. Laimer, S. van der Lei, M. Meijerink, R. Bale, H. Huisman, J. Fütterer and C. Overduin, "Deep learning-based ablation margin assessment in thermal ablation of colorectal liver metastasis: preliminary results of an automatic segmentation workflow", Medical Imaging 2026: Image-Guided Procedures, Robotic Interventions, and Modeling, 2026:38.
DOI
R. Weber, N. Rocholl, M. de Grauw, M. Prokop, E. Smit and A. Hering, "ULS+: Data-driven Model Adaptation Enhances Lesion Segmentation", 2026.
arXiv

Abstracts

M. Vitale, M. Vegter, C. Jacobs and M. Boenink, "Principles for AI-enabled population screening", European Congress of Radiology, 2026.
Abstract
L. Leijten, E. van der Heijden, E. Aarntzen, R. Verhoeven and C. Jacobs, "Deep-learning based malignancy risk estimation of pulmonary nodules in PET/CT imaging", European Congress of Radiology, 2026.
Abstract
R. Dinnessen, N. Antonissen, D. Peeters, H. Gietema, F. Mohamed Hoesein, E. Scholten, C. Schaefer-Prokop and C. Jacobs, "Performance and generalisability of a screening-trained deep learning model for pulmonary nodule malignancy risk estimation on a multicentre dataset of incidental nodules", European Congress of Radiology, 2026.
Abstract
A. Cerrato Nieto, E. Scholten, S. Schalekamp, M. Prokop and C. Jacobs, "Benchmarking lung tumour segmentation models: stratified performance of deep learning models across tumour sizes and cancer stages", European Congress of Radiology, 2026.
Abstract
M. Vitale, M. Vegter, C. Jacobs and M. Boenink, "Algorithmic Fairness unfolded: collaborative ethnography within a medical imaging AI lab for Lung Cancer Screening", European Congress of Radiology, 2026.
Abstract
N. Antonissen, S. Schalekamp, H. Hahn, K. van Leeuwen and C. Jacobs, "Commercially available AI products for CT-based lung cancer screening: capabilities, clinical evidence, and alignment with international screening frameworks", European Congress of Radiology, 2026.
Abstract
D. Peeters, B. Obreja, N. Antonissen, Z. Saghir, U. Pastorino, G. De Bock, R. Vliegenthart, M. Prokop and C. Jacobs, "Benchmarking of Artificial Intelligence and Radiologists for Indeterminate Lung Nodule Malignancy Risk Estimation on Screening CT: Results of the LUNA25 Challenge", European Congress of Radiology, 2026.
Abstract