Matthieu Rutten

According to our database, Matthieu Rutten authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

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

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

The ULS23 challenge: A baseline model and benchmark dataset for 3D universal lesion segmentation in computed tomography.

M. J. J. de Grauw, Ernst Th. Scholten, Ewoud J. Smit, M. J. C. M. Rutten, Mathias Prokop, Bram van Ginneken, Alessa Hering

Medical Image Anal., 2025

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

2023

SPIDER - Lumbar spine segmentation in MR images: a dataset and a public benchmark.

Jasper Willem van der Graaf, Miranda L. van Hooff, Constantinus F. M. Buckens, Matthieu Rutten, Job L. C. van Susante, Robert Jan Kroeze, Marinus de Kleuver, Bram van Ginneken, Nikolas Lessmann

Dataset, November, 2023

SPIDER - Lumbar spine segmentation in MR images: a dataset and a public benchmark.

Jasper Willem van der Graaf, Miranda L. van Hooff, Constantinus F. M. Buckens, Matthieu Rutten, Job L. C. van Susante, Robert Jan Kroeze, Marinus de Kleuver, Bram van Ginneken, Nikolas Lessmann

Dataset, November, 2023

SPIDER - Lumbar spine segmentation in MR images: a dataset and a public benchmark.

Jasper W. van der Graaf, Miranda L. van Hooff, Constantinus F. M. Buckens, Matthieu Rutten, Job L. C. van Susante, Robert Jan Kroeze, Marinus de Kleuver, Bram van Ginneken, Nikolas Lessmann

Dataset, June, 2023

Lumbar spine segmentation in MR images: a dataset and a public benchmark.

Jasper W. van der Graaf, Miranda L. van Hooff, Constantinus F. M. Buckens, Matthieu Rutten, Job L. C. van Susante, Robert Jan Kroeze, Marinus de Kleuver, Bram van Ginneken, Nikolas Lessmann

CoRR, 2023

2021

SPIDER - Lumbar spine segmentation in MR images: a dataset and a public benchmark.

Jasper Willem van der Graaf, Miranda L. van Hooff, Constantinus F. M. Buckens, Matthieu Rutten, Job L. C. van Susante, Robert Jan Kroeze, Marinus de Kleuver, Bram van Ginneken, Nikolas Lessmann

Dataset, November, 2021

Deep Learning with robustness to missing data: A novel approach to the detection of COVID-19.

Erdi Çalli, Keelin Murphy, Steef Kurstjens, Tijs Samson, Robert Herpers, Henk Smits, Matthieu Rutten, Bram van Ginneken

CoRR, 2021