Iris Nagtegaal

According to our database, Iris Nagtegaal authored at least 11 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

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

2024

Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning.

Niccolò Marini, Stefano Marchesin, Lluis Borras Ferris, Simon Püttmann, Marek Wodzinski, Riccardo Fratti, Damian Podareanu, Alessandro Caputo, Svetla Boytcheva, Simona Vatrano, Filippo Fraggetta, Iris Nagtegaal, Gianmaria Silvello, Manfredo Atzori, Henning Müller

CoRR, 2024

HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation Histopathology.

Elias Baumann, Bastian Dislich, Josef Lorenz Rumberger, Iris D. Nagtegaal, María Rodríguez Martínez, Inti Zlobec

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

Benchmarking Hierarchical Image Pyramid Transformer for the Classification of Colon Biopsies and Polyps Histopathology Images.

Nohemí Sofia León Contreras, Clément Grisi, Witali Aswolinskiy, Simona Vatrano, Filippo Fraggetta, Iris Nagtegaal, Marina D'Amato, Francesco Ciompi

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Tumor Budding T-cell Graphs: Assessing the Need for Resection in pT1 Colorectal Cancer Patients.

Linda Studer, John-Melle Bokhorst, Iris D. Nagtegaal, Inti Zlobec, Heather Dawson, Andreas Fischer

Proceedings of the Medical Imaging with Deep Learning, 2023

2021

Automated risk classification of colon biopsies based on semantic segmentation of histopathology images.

John-Melle Bokhorst, Iris D. Nagtegaal, Filippo Fraggetta, Simona Vatrano, Wilma Mesker, Michael Vieth, Jeroen van der Laak, Francesco Ciompi

CoRR, 2021

2019

Learning from sparsely annotated data for semantic segmentation in histopathology images.

John-Melle Bokhorst, Hans Pinckaers, Peter van Zwam, Iris Nagtegaal, Jeroen van der Laak, Francesco Ciompi

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2018

Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning.

John-Melle Bokhorst, Lucia Rijstenberg, Danny Goudkade, Iris Nagtegaal, Jeroen van der Laak, Francesco Ciompi

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

2017

The importance of stain normalization in colorectal tissue classification with convolutional networks.

Francesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi, Gabriel Silva de Souza, Alexi Baidoshvili, Geert Litjens, Bram van Ginneken, Iris Nagtegaal, Jeroen van der Laak

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2015

Mining Hierarchical Pathology Data Using Inductive Logic Programming.

Tim Op De Beéck, Arjen Hommersom, Jan Van Haaren, Maarten van der Heijden, Jesse Davis, Peter J. F. Lucas, Lucy Overbeek, Iris Nagtegaal

Proceedings of the Artificial Intelligence in Medicine, 2015