Megan Schuurmans

According to our database, Megan Schuurmans authored at least 4 papers between 2021 and 2025.

Collaborative distances:

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

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

Navigating the landscape of multimodal AI in medicine: A scoping review on technical challenges and clinical applications.

Daan N. Schouten, Giulia Nicoletti, Bas Dille, Catherine Chia, Pierpaolo Vendittelli, Megan Schuurmans, Geert Litjens, Nadieh Khalili

Medical Image Anal., 2025

2023

The ULS23 Challenge Public Training Dataset.

Max De Grauw, Natália Alves, Megan Schuurmans, Henkjan Huisman, Bram van Ginneken, Alessa Hering

Dataset, October, 2023

2021

Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography.

Natália Alves, Megan Schuurmans, Geke Litjens, Joeran S. Bosma, John Hermans, Henkjan Huisman

CoRR, 2021