abstract

Artificial intelligence support for diagnosing liver lesions using MRI: an early-stage health technology assessment
Ruben Niemantsverdriet, Frederik Hartmann, Erik H.M. Kemper, Mara M.K. Veenstra, Michail Doukas, Roy Dwarkasing, Sandra Coenen, Siyar Kisin, Maria Antonietta Bali, Maciej Bobowicz, Giuseppe Brancatelli, Federica Vernuccio, Roberto Cannella, Robbert de Haas, Vincent E. de Meijer, Otto van Delden, Inez M. Verpalen, Joris Erdmann, Numan Kutaiba, Razvan L. Miclea, Maxime Ronot, Valerie Vilgrain, Bachir Taouli, Wouter Veldhuis, Jip Prince, Fredrik Illerstam, José Willemse, Stefan Klein, Martijn P.A. Starmans, Maarten G. Thomeer, LAI Consortium
Last updated on Oct 15, 2026
ASO Visual Abstract: Evaluation of Diagnostic Accuracy of Preoperative CT-based Radiomics in Primary Retroperitoneal Sarcoma
Fabio Tirotta, Anne-Rose W. Schut, Demi Wemmers, Stefan Klein, Jacob J. Visser, David F. Hanff, Marielle Olsthoorn, Dirk J. Grünhagen, Geert J. L. H. van Leenders, Winan J. van Houdt, Cornelis Verhoef, Martijn P. A. Starmans
ASO Visual Abstract: Predicting Failure of Active Surveillance in Desmoid-Type Fibromatosis using Radiomics: An International Multi-center Cohort Study
Stefanie N. Hakkesteegt, Douwe J. Spaanderman, Chiara Colombo, Anne-Rose W. Schut, Andrea Vanzulli, Francesco Barretta, C. Morosi, Marco Fiore, Peter Ferguson, Harini Suraweera, Anthony M. Griffin, Lawrence M. White, Joel Shapiro, Danchen Ge, Dirk J. Grünhagen, Geert J. L. H. van Leenders, David Hanff, Jacob J. Visser, Wiro J. Niessen, Stefan Klein, and the Dutch Grafiti Research Group, Rebecca A. Gladdy, Alessandro Gronchi, Cornelis Verhoef, Martijn P. A. Starmans
Last updated on Oct 15, 2026
Can radiomic features derived from T1- and T2-weighted MRI improve differentiation of benign and malignant soft-tissue tumours?
Matthew Marzetti, Martijn P. A. Starmans, P. Robinson, D. L. Buckley, A. Scarsbrook, Stefan Klein
Last updated on Oct 15, 2026
Cross-Attention Multimodal Learning for Predicting Response to Neoadjuvant Imatinib in Gastrointestinal Stromal Tumors: A Multicenter Retrospective Study
Fariba Tohidinezhad, Douwe J. Spaanderman, Natalia Oviedo Acosta, Kaouther Mouheb, Karthik Prathaban, David F. Hanff, Dirk J. Grünhagen, Cornelis Verhoef, Joris M. van Sabben, Evelyne Roets, Jette J. Slettenhaar, Hans Gelderblom, Ingrid M. E. Desar, Anna K. L. Reyners, Neeltje Steeghs, Stefan Klein, Martijn P. A. Starmans
Last updated on Oct 15, 2026
Deep Learning-Based Differentiation of Dedifferentiated Liposarcoma and Leiomyosarcoma on Histopathology Reveals Challenges in Morphologically Ambiguous Cases
W. Lin, Farhan Akram, Stefan Klein, Martijn P. A. Starmans, Karthik Prathaban
Last updated on Oct 15, 2026
From Narrative Reports to Structured Knowledge
Karthik Prathaban, Farhan Akram, Douwe J. Spaanderman, Stefan Klein, Martijn P. A. Starmans
Last updated on Oct 15, 2026
From Narrative to Structured Detail: Extracting Comprehensive Morphologic and Diagnostic Features from Pathology Reports Using Large Language Models
Karthik Prathaban, Martijn P. A. Starmans, Douwe J. Spaanderman, Stefan Klein, Farhan Akram
Last updated on Oct 15, 2026
From Narratives to Normalized Graphs: LLM-Based Extraction and Ontology Alignment of Soft Tissue Tumour Pathology Reports
Karthik Prathaban, Farhan Akram, Stefan Klein, Martijn P. A. Starmans
Last updated on Oct 15, 2026
Predicting Treatment Response to Neoadjuvant Chemotherapy in High-Grade Osteosarcoma Patients using MRI-Based Radiomics and Deep Learning
Xinyi Wan, Gijsbert M. Kalisvaart, Fariba Tohidinezhad, Douwe J. Spaanderman, Robert Hemke, Jacob J. Visser, Edwin H. G. Oei, Marius Staring, Martijn P. A. Starmans, Stefan Klein, Kirsten van Langevelde
Last updated on Oct 15, 2026