Conferences

The FUTURE-AI guideline: How to design your AI tool in a trustworthy way towards clinical value and implementation
Martijn P. A. Starmans
Last updated on Jan 5, 2026
Advances of artificial intelligence as a diagnostic aid in abdominal radiology: the liver artificial intelligence (LAI) consortium
F. Hartmann, R. Niemantsverdriet, S. Klein, M. G. Thomeer, M. P. A. Starmans
Last updated on Jan 5, 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 Jan 5, 2026
Early health technology assessment for an artificial intelligence tool to detect incidental pulmonary embolisms on computed tomography
E. H. M. Kemper, K. Redekop, F. Vos, M. IJzerman, M. P. A. Starmans, J. J. Visser
Last updated on Jan 5, 2026
Evaluating IVIM and ADC Parameters to Differentiate Benign and Malignant Soft-Tissue Lesions
Matthew Marzetti, Philip Robinson, Leanne Maguire, Peter Duce, Stefan Klein, Martijn P. A. Starmans, Andrew Scarsbrook, David Buckley
Last updated on Jan 5, 2026
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 Jan 5, 2026
The liver artificial intelligence (LAI) consortium: a benchmark dataset and optimised machine learning methods for MRI-based diagnosis of solid-appearing liver lesions
Ruben Niemantsverdriet, Frederik Hartmann, Mara Veenstra, Michail Doukas, Roy Dwarkasing, Valerie Vilgrain, Maxime Ronot, Bachir Taouli, Razvan Miclea, Giuseppe Brancatelli, Maria Antonietta Bali, Jip Prince, Robbert de Haas, Vincent de Meijer, Otto van Delden, Joris Erdmann, Numan Kutaiba, Maciej Bobowicz, Lorenzo Faggioni, Karim Lekadir, Kathryn Fowler, Fredrik Illerstam, Stefan Klein, Martijn P. A. Starmans, Maarten G. Thomeer, LAI Consortium
Last updated on Jan 5, 2026
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 Jan 5, 2026
Innovatie in de diagnose van levertumoren: het Liver Artificial Intelligence (LAI) consortium
Martijn P. A. Starmans, Mara Veenstra, Ruben Niemantsverdriet, Wendy van Hemmen, Stefan Klein, Maarten G. Thomeer
Last updated on Jan 5, 2026
AI and image analysis of liver metastases
M P A Starmans
Last updated on Jan 5, 2026