abstract

The Liver Artificial Intelligence (LAI) Consortium: A Benchmark Dataset and Optimised Machine Learning Methods for MRI-based Diagnosis of Solid-appearing Liver Lesions
F. Hartmann, R. Niemantsverdriet, M. Veenstra, M. Doukas, R. Dwarkasing, V. Vilgrain, M. Ronot, B. Taouli, R. L. Miclea, G. Brancatelli, M. A. Bali, J. Prince, R. de Haas, V. de Meijer, O. van Delden, J. Erdmann, N. Kutaiba, M. Bobowicz, L. Faggioni, K. Lekadir, K. J. Fowler, F. Illerstam, S. Klein, M. P. A. Starmans, M. G. Thomeer, LAI Consortium
Last updated on Oct 15, 2026
AI in Radiological Imaging of Soft-Tissue and Bone Tumours: A Systematic Review Evaluating Against CLAIM and FUTURE-AI Guidelines
Douwe J. Spaanderman, Matthew Marzetti, Xinyi Wan, Andrew F. Scarsbrook, Philip Robinson, Edwin H. G. Oei, Jacob J. Visser, Robert Hemke, Kirsten van Langevelde, David F. Hanff, Geert J. L. H. van Leenders, Cornelis Verhoef, Dirk J. Grünhagen, Wiro J. Niessen, Stefan Klein, M. P. A. Starmans
Last updated on Oct 15, 2026
AI in Radiological Imaging of Soft-Tissue and Bone Tumours: A Systematic Review Evaluating Against CLAIM and FUTURE-AI Guidelines
Douwe J. Spaanderman, Matthew Marzetti, Xinyi Wan, Andrew F. Scarsbrook, Philip Robinson, Edwin H. G. Oei, Jacob J. Visser, Robert Hemke, Kirsten van Langevelde, David F. Hanff, Geert J. L. H. van Leenders, Cornelis Verhoef, Dirk J. Grünhagen, Wiro J. Niessen, Stefan Klein, M. P. A. Starmans
Last updated on Oct 15, 2026
Automated segmentation of desmoplastic histopathological growth patterns of colorectal liver metastases on whole-slide images using deep learning
M. A. de Leeuw, Z. Qian, C. Verhoef, D. J. Grunhagen, S. Klein, F. M. Vos, M. P. A. Starmans
Last updated on Oct 15, 2026
HTA183 A General Framework for Early Health Technology Assessment (eHTA) to Support the Development of New Radiology Artificial Intelligence (AI) Tools
E. Kemper, K. Redekop, F. Vos, M. IJzerman, M. P. A. Starmans, J. J. Visser
Last updated on Mar 14, 2025
HTA183 A General Framework for Early Health Technology Assessment (eHTA) to Support the Development of New Radiology Artificial Intelligence (AI) Tools
E. Kemper, K. Redekop, F. Vos, M. IJzerman, M. P. A. Starmans, J. J. Visser
Multi-Center External Validation of an Automated Method Segmenting and Differentiating Atypical Lipomatous Tumors from Lipomas Using Radiomics and Deep-Learning on MRI
D. J. Spaanderman, S. N. Hakkesteegt, D. F. Hanff, C. Messiou, L. Nardo, D. J. Grunhagen, C. Verhoef, M. P. A. Starmans, S. Klein
Last updated on Oct 15, 2026
Prognostic and predictive value of total tumor volume in patients with colorectal liver metastases
M. Zeeuw, N. Wesdorp, M. Ali, K. Voigt, M. Starmans, J. Roor, J. H. van Waesberghe, J. van den Bergh, I. Nota, S. Moos, J. Stoker, D. Grunhagen, R. J. Swijnenburg, C. Punt, J. Huiskens, K. Verhoef, G. Kazemier
Last updated on Oct 15, 2026
The Liver Artificial Intelligence (LAI) Consortium: A Benchmark Dataset and Optimised Machine Learning Methods for MRI-based Diagnosis of Solid-appearing Liver Lesions
R. Niemantsverdriet, F. Hartmann, M. P. A. Starmans, M. Ronot, R. L. Miclea, V. Vilgrain, M. G. Thomeer, S. Klein, LAI Consortium
Last updated on Oct 15, 2026
Does size matter? Response of melanoma brain metastases to immune checkpoint inhibitors
S. H. A. E. Derks, L. S. Ho, S.R. Koene, M. P. A. Starmans, A. Joosse, M. J. A. de Jonge, J. L. M. Jongen, M. J. van den Bent, M. Smits, A. A. M. van der Veldt
Last updated on Mar 14, 2025