Maarten de Rooij

According to our database, Maarten de Rooij authored at least 12 papers between 2021 and 2026.

Collaborative distances:

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

2026

Designing UNICORN: a Unified Benchmark for Imaging in Computational Pathology, Radiology, and Natural Language.

Michelle Stegeman, Lena Philipp, Fennie van der Graaf, Marina D'Amato, Clément Grisi, Luc Builtjes, Joeran S. Bosma, Judith Lefkes, Rianne A. Weber, James A. Meakin, Thomas Koopman, Anne Mickan, Mathias Prokop, Ewoud J. Smit, Geert Litjens, Jeroen van der Laak, Bram van Ginneken, Maarten de Rooij, Henkjan Huisman, Colin Jacobs, Francesco Ciompi, Alessa Hering

CoRR, March, 2026

Abstract: Annotation-efficient 3D Body Composition Segmentation.

Lena Philipp, Maarten de Rooij, John Hermans, Matthieu Rutten, Horst K. Hahn, Bram van Ginneken, Alessa Hering

Proceedings of the Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15, 2026

2025

Scaling Artificial Intelligence for Prostate Cancer Detection on MRI towards Population-Based Screening and Primary Diagnosis in a Global, Multiethnic Population (Study Protocol).

Anindo Saha, Joeran S. Bosma, Jasper J. Twilt, Alexander B. C. D. Ng, Aqua Asif, Kirti Magudia, Peder Larson, Qinglin Xie, Xiaodong Zhang, Chi Pham Minh, Samuel N. Gitau, Ivo G. Schoots, Martijn F. Boomsma, Renato Cuocolo, Nikolaos Papanikolaou, Daniele Regge, Derya Yakar, Mattijs Elschot, Jeroen Veltman, Baris Turkbey, Nancy A. Obuchowski, Jurgen J. Fütterer, Anwar R. Padhani, Hashim Uddin Ahmed, Tobias Nordström, Martin Eklund, Veeru Kasivisvanathan, Maarten de Rooij, Henkjan Huisman

CoRR, August, 2025

The DRAGON benchmark for clinical NLP.

Joeran S. Bosma, Koen Dercksen, Luc Builtjes, Romain André, Christian Roest, Stefan J. Fransen, Constant R. Noordman, Mar Navarro-Padilla, Judith Lefkes, Natália Alves, Max J. J. de Grauw, Leander van Eekelen, Joey Spronck, Megan Schuurmans, Bram de Wilde, Ward Hendrix, Witali Aswolinskiy, Anindo Saha, Jasper J. Twilt, Daan Geijs, Jeroen Veltman, Derya Yakar, Maarten de Rooij, Francesco Ciompi, Alessa Hering, Jeroen Geerdink, Henkjan Huisman, Quintin van Lohuizen, Michelle Stegeman, Karlijn Rutten, Inge M. E. Smit, Gijs Stultiens, Christiaan G. Overduin, M. J. C. M. Rutten, Ernst Th. Scholten, Rachel S. van der Post, Katrien Grunberg, Shoko Vos, Elise M. G. Taken, Iris D. Nagtegaal, Anne Mickan, Miriam Groeneveld, Paul K. Gerke, James A. Meakin, Monika Looijen-Salamon, Tijmen L. M. de Haas, Fabian Hoitsma, Marina D'Amato

npj Digit. Medicine, 2025

Scalable Clinical Annotation with Location Evidence (SCALE).

Joeran S. Bosma, Luc Builtjes, Anindo Saha, Jasper J. Twilt, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Nikolaos Papanikolaou, Ivo G. Schoots, Jeroen Veltman, Mattijs Elschot, Derya Yakar, Nancy A. Obuchowski, Mattias P. Heinrich, Alessa Hering, Maarten de Rooij, Henkjan Huisman

Comput. Biol. Medicine, 2025

2024

Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis.

Alessa Hering, Sarah de Boer, Anindo Saha, Jasper J. Twilt, Derya Yakar, Maarten de Rooij, Henkjan Huisman, Joeran S. Bosma

CoRR, 2024

Deformable MRI Sequence Registration for AI-Based Prostate Cancer Diagnosis.

Alessa Hering, Sarah de Boer, Anindo Saha, Jasper J. Twilt, Mattias P. Heinrich, Derya Yakar, Maarten de Rooij, Henkjan Huisman, Joeran S. Bosma

Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024

Medical diffusion on a budget: Textual Inversion for medical image generation.

Bram de Wilde, Anindo Saha, Maarten de Rooij, Henkjan Huisman, Geert Litjens

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

Annotation-Efficient Strategy for Segmentation of 3D Body Composition.

Lena Philipp, Maarten de Rooij, John Hermans, Matthieu Rutten, Horst Karl Hahn, Bram van Ginneken, Alessa Hering

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

2022

The PI-CAI Challenge: Public Training and Development Dataset.

Anindo Saha, Jasper Jonathan Twilt, Joeran Sander Bosma, Bram van Ginneken, Derya Yakar, Mattijs Elschot, Jeroen Veltman, Jurgen J. Fütterer, Maarten de Rooij, Henkjan Huisman

Dataset, June, 2022

The PI-CAI Challenge: Public Training and Development Dataset.

Anindo Saha, Jasper J. Twilt, Joeran S. Bosma, Bram van Ginneken, Derya Yakar, Mattijs Elschot, Jeroen Veltman, Jurgen J. Fütterer, Maarten de Rooij, Henkjan Huisman

Dataset, May, 2022

2021

Report-Guided Automatic Lesion Annotation for Deep Learning-Based Prostate Cancer Detection in bpMRI.

Joeran S. Bosma, Anindo Saha, Matin Hosseinzadeh, Ilse Slootweg, Maarten de Rooij, Henkjan Huisman

CoRR, 2021