Cornelis Verhoef

According to our database, Cornelis Verhoef authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Evaluating the effectiveness of a risk prediction model (PERSARC) on improving treatment decisions quality for patients with soft-tissue sarcomas: the VALUE-PERSARC study.

Anouk A. Kruiswijk, Perla J. Marang-van de Mheen, Lisa A. E. Vlug, Ellen G. Engelhardt, Marta Fiocco, Rick L. Haas, Yvonne M. Schrage, Cornelis Verhoef, Marc H. A. Bemelmans, Robert J. van Ginkel, Johannes J. Bonenkamp, Arjen J. Witkamp, Michiel A. J. van de Sande, Leti van Bodegom-Vos

BMC Medical Informatics Decis. Mak., December, 2025

Evaluating Open-Weight Large Language Models for Structured Data Extraction from Narrative Medical Reports Across Multiple Use Cases and Languages.

Douwe J. Spaanderman, Karthik Prathaban, Petr Zelina, Kaouther Mouheb, Lukás Hejtmánek, Matthew Marzetti, Antonius W. Schurink, Damian Chan, Ruben Niemantsverdriet, Frederik Hartmann, Zhen Qian, Maarten G. Thomeer, Petr Holub, Farhan Akram, Frank J. Wolters, Meike W. Vernooij, Cornelis Verhoef, Esther E. Bron, Vít Novácek, Dirk J. Grünhagen, Wiro J. Niessen, Martijn P. A. Starmans, Stefan Klein

CoRR, November, 2025

2024

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. Gruühagen, Wiro J. Niessen, Stefan Klein, Martijn P. A. Starmans

CoRR, 2024

Minimally Interactive Segmentation of Soft-Tissue Tumors on CT and MRI using Deep Learning.

Douwe J. Spaanderman, Martijn P. A. Starmans, Gonnie C. M. van Erp, David F. Hanff, Judith H. Sluijter, Anne-Rose W. Schut, Geert J. L. H. van Leenders, Cornelis Verhoef, Dirk J. Grünhagen, Wiro J. Niessen, Jacob J. Visser, Stefan Klein

CoRR, 2024

2022

Differential Diagnosis and Molecular Stratification of Gastrointestinal Stromal Tumors on CT Images Using a Radiomics Approach.

Martijn P. A. Starmans, Milea J. M. Timbergen, Melissa Vos, Michel Renckens, Dirk J. Grünhagen, Geert J. L. H. van Leenders, Roy S. Dwarkasing, François E. J. A. Willemssen, Wiro J. Niessen, Cornelis Verhoef, Stefan Sleijfer, Jacob J. Visser, Stefan Klein

J. Digit. Imaging, 2022

2021

Reproducible radiomics through automated machine learning validated on twelve clinical applications.

Martijn P. A. Starmans, Sebastian R. van der Voort, Thomas Phil, Milea J. M. Timbergen, Melissa Vos, Guillaume A. Padmos, Wouter Kessels, David Hanff, Dirk J. Grünhagen, Cornelis Verhoef, Stefan Sleijfer, Martin J. van den Bent, Marion Smits, Roy S. Dwarkasing, Christopher J. Els, Federico Fiduzi, Geert J. L. H. van Leenders, Anela Blazevic, Johannes Hofland, Tessa Brabander, Renza A. H. van Gils, Gaston J. H. Franssen, Richard A. Feelders, Wouter W. de Herder, Florian E. Buisman, François E. J. A. Willemssen, Bas Groot Koerkamp, Lindsay Angus, Astrid A. M. van der Veldt, Ana Rajicic, Arlette E. Odink, Mitchell Deen, Jose M. Castillo T, Jifke F. Veenland, Ivo Schoots, Michel Renckens, Michail Doukas, Rob A. de Man, Jan N. M. IJzermans, Razvan L. Miclea, Peter B. Vermeulen, Esther E. Bron, Maarten G. Thomeer, Jacob J. Visser, Wiro J. Niessen, Stefan Klein

CoRR, 2021

2020

Extending Unsupervised Neural Image Compression With Supervised Multitask Learning.

David Tellez, Diederik Höppener, Cornelis Verhoef, Dirk J. Grünhagen, Pieter Nierop, Michal Drozdzal, Jeroen van der Laak, Francesco Ciompi

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020