David J. Kerr

According to our database, David J. Kerr authored at least 4 papers between 2024 and 2026.

Collaborative distances:

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

2026

Enabling clinical use of foundation models in histopathology.

Audun L. Henriksen, Ole-Johan Skrede, Lisa van der Schee, Enric Domingo, Sepp De Raedt, Ilyá Kostolomov, Jennifer Hay, Karolina Cyll, Wanja Kildal, Joakim Kalsnes, Robert W. Williams, Manohar Pradhan, John Arne Nesheim, Hanne A. Askautrud, Maria Xepapadakis Isaksen, Karmele Saez de Gordoa, Miriam Cuatrecasas, Joanne Edwards, TransSCOT group, Arild Nesbakken, Neil A. Shepherd, Ian Tomlinson, Daniel-Christoph Wagner, Rachel S. Kerr, Tarjei Sveinsgjerd Hveem, Knut Liestøl, Yoshiaki Nakamura, Marco Novelli, Masaaki Miyo, Sebastian Foersch, David N. Church, Miangela M. Lacle, David J. Kerr, Andreas Kleppe

CoRR, February, 2026

2025

Generalisation of automatic tumour segmentation in histopathological whole-slide images across multiple cancer types.

Ole-Johan Skrede, Manohar Pradhan, Maria Xepapadakis Isaksen, Tarjei Sveinsgjerd Hveem, Ljiljana Vlatkovic, Arild Nesbakken, Kristina Lindemann, Gunnar B. Kristensen, Jenneke Kasius, Alain G. Zeimet, Odd Terje Brustugun, Lill-Tove Rasmussen Busund, Elin H. Richardsen, Erik Skaaheim Haug, Bjørn Brennhovd, Emma Rewcastle, Melinda Lillesand, Vebjørn Kvikstad, Emiel A. M. Janssen, David J. Kerr, Knut Liestøl, Fritz Albregtsen, Andreas Kleppe

CoRR, October, 2025

2024

An Explainable Coarse-to-Fine Survival Analysis Method on Multi-Center Whole Slide Images.

Han Wang, Dan Jiang, Haixian Zhang, Yujue Wang, Li Yang, David J. Kerr, Yi Zhang

IEEE Trans. Artif. Intell., March, 2024

Guidelines for study protocols describing predefined validations of prediction models in medical deep learning and beyond.

Andreas Kleppe, Ole-Johan Skrede, Knut Liestøl, David J. Kerr, Håvard E. Danielsen

Nat. Mac. Intell., 2024