Peter Neidlinger

According to our database, Peter Neidlinger authored at least 5 papers between 2024 and 2026.

Collaborative distances:

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

2026

Computational Pathology in the Era of Emerging Foundation and Agentic AI - International Expert Perspectives on Clinical Integration and Translational Readiness.

Qian Da, Yijiang Chen, Min Ju, Zheyi Ji, Albert Zhou, Wenwen Wang, Matthew Abikenari, Philip Chikontwe, Guillaume Larghero, Bowen Chen, Peter Neidlinger, Dingrong Zhong, Shuhao Wang, Wei Xu, Drew F. K. Williamson, Germán Corredor, Sen Yang, Le Lu, Xiao Han, Kun-Hsing Yu, Jun-Zhou Huang, Laura Barisoni, Geert Litjens, Anant Madabhushi, Lifeng Zhu, Chaofu Wang, Junhan Zhao, Weiguo Hu

CoRR, March, 2026

2025

A deep learning framework for efficient pathology image analysis.

Peter Neidlinger, Tim Lenz, Sebastian Foersch, Chiara Maria Lavinia Loeffler, Jan Clusmann, Marco Gustav, Lawrence A. Shaktah, Rupert Langer, Bastian Dislich, Lisa A. Boardman, Amy J. French, Ellen L. Goode, Andrea Gsur, Stefanie Brezina, Marc J. Gunter, Robert Steinfelder, Hans-Michael Behrens, Christoph Röcken, Tabitha Harrison, Ulrike Peters, Amanda I. Phipps, Giuseppe Curigliano, Nicola Fusco, Antonio Marra, Michael Hoffmeister, Hermann Brenner, Jakob Nikolas Kather

CoRR, February, 2025

Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning.

Tim Lenz, Peter Neidlinger, Marta Ligero, Georg Wölflein, Marko van Treeck, Jakob Nikolas Kather

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Benchmarking foundation models as feature extractors for weakly-supervised computational pathology.

Peter Neidlinger, Omar S. M. El Nahhas, Hannah Sophie Muti, Tim Lenz, Michael Hoffmeister, Hermann Brenner, Marko van Treeck, Rupert Langer, Bastian Dislich, Hans-Michael Behrens, Christoph Röcken, Sebastian Foersch, Daniel Truhn, Antonio Marra, Oliver Lester Saldanha, Jakob Nikolas Kather

CoRR, 2024

End-To-End Clinical Trial Matching with Large Language Models.

Dyke Ferber, Lars Hilgers, Isabella C. Wiest, Marie-Elisabeth Leßmann, Jan Clusmann, Peter Neidlinger, Jiefu Zhu, Georg Wölflein, Jacqueline Lammert, Maximilian Tschochohei, Heiko Böhme, Dirk Jäger, Mihaela Aldea, Daniel Truhn, Christiane Höper, Jakob Nikolas Kather

CoRR, 2024