Frédérique Meeuwsen

According to our database, Frédérique Meeuwsen authored at least 7 papers between 2015 and 2026.

Collaborative distances:

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

2026

DALPHIN: Benchmarking Digital Pathology AI Copilots Against Pathologists on an Open Multicentric Dataset.

Carlijn M. Lems, Sander Moonemans, Natalie Klubickova, Biagio Brattoli, Taebum Lee, Seokhwi Kim, Verónica Vilaplana, Laura Pons, Sapir Hochman, Mauricio Eduardo Suárez-Franck, Pedro L. Fernández, Julius Drachneris, Donatas Petroska, Renaldas Augulis, Arvydas Laurinavicius, Domingos Oliveira, Diana Montezuma, Anouk B. Bouwmeester, Dominique van Midden, Anne-Marie Vos, Shoko Vos, Jolique van Ipenburg, Maschenka Balkenhol, Koen Winkler, Iris Nagtegaal, Konnie M. Hebeda, Uta Flucke, Katrien Grunberg, Josef Skopal, Brinder S. Chohan, Jordi Temprana-Salvador, Enrico Munari, Luca Cima, Giulia Querzoli, Yosamin Gonzalez Belisario, Jaeike W. Faber, Geert J. L. H. van Leenders, Jan H. von der Thüsen, Lodewijk A. A. Brosens, Ronald R. de Krijger, Pieter Wesseling, Sandrine Florquin, Mateusz Maniewski, Adam Kowalewski, Robert Barna, Dina Tiniakos, Joan Lop Gros, Rogier Donders, Jake S. F. Maurits, Ming-Hsuan Yang, Chengkuan Chen, Faisal Mahmood, Jeroen van der Laak, Nadieh Khalili, Frédérique Meeuwsen, Francesco Ciompi

CoRR, May, 2026

2025

Democratizing Pathology Co-Pilots: An Open Pipeline and Dataset for Whole-Slide Vision-Language Modelling.

Sander Moonemans, Sebastiaan Ram, Frédérique Meeuwsen, Carlijn M. Lems, Jeroen van der Laak, Geert Litjens, Francesco Ciompi

CoRR, December, 2025

A Multicentric Dataset for Training and Benchmarking Breast Cancer Segmentation in H&E Slides.

Carlijn M. Lems, Leslie Tessier, John-Melle Bokhorst, Mart van Rijthoven, Witali Aswolinskiy, Matteo Pozzi, Natalie Klubickova, Suzanne Dintzis, Michela Campora, Maschenka Balkenhol, Peter Bult, Joey Spronck, Thomas Detone, Mattia Barbareschi, Enrico Munari, Giuseppe Bogina, Jelle Wesseling, Esther H. Lips, Francesco Ciompi, Frédérique Meeuwsen, Jeroen van der Laak

CoRR, October, 2025

Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology.

Susu Sun, Leslie Tessier, Frédérique Meeuwsen, Clément Grisi, Dominique van Midden, Geert Litjens, Christian F. Baumgartner

CoRR, January, 2025

2024

Scoring Tumor-Infiltrating Lymphocytes in breast DCIS: A guideline-driven artificial intelligence approach.

Matteo Pozzi, Natalie Klubickova, Michela Campora, Frédérique Meeuwsen, Joey Spronck, Carlijn M. Lems, Michelle Stegeman, Leslie Tessier, Mattia Barbareschi, Jeroen van der Laak, Giuseppe Jurman, Francesco Ciompi

Proceedings of the MICCAI Workshop on Computational Pathology, 2024

2016

'It is Time to Prepare the Next patient' Real-Time Prediction of Procedure Duration in Laparoscopic Cholecystectomies.

Annetje C. P. Guédon, M. Paalvast, Frédérique C. Meeuwsen, David M. J. Tax, A. P. van Dijke, L. S. G. L. Wauben, M. van der Elst, Jenny Dankelman, John van den Dobbelsteen

J. Medical Syst., 2016

2015

Real-time estimation of surgical procedure duration.

A. C. P. Guédon, M. Paalvast, Frédérique C. Meeuwsen, David M. J. Tax, A. P. van Dijke, L. S. G. L. Wauben, M. van der Elst, Jenny Dankelman, John van den Dobbelsteen

Proceedings of the 17th International Conference on E-health Networking, 2015