Alexander Brobeil

According to our database, Alexander Brobeil authored at least 4 papers between 2023 and 2026.

Collaborative distances:

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

2026

Constructing a corpus of hematologic pathology notes for the fine-tuning of BERT models for named entity recognition.

Desiree Jaschke, Celine-Fabienne Bergmann, Max Blumenstock, Alexander Brobeil, Sascha Dietrich, Tobias Dittrich, Michael Herweg, Petra Knaup, Christoph U. Lehmann, Nora Liebers, Gunhild Mechtersheimer, Sarah Richter, Cleo-Aron Weis, Matthias Ganzinger

Comput. Biol. Medicine, 2026

2025

DATA 5.0 - Data Acquisition, Translation & Analysis - a prospective urooncological data warehouse for the 21st century.

Viktoria Schütz, Christine Geisler, Mathias Rath, Sarah Böning, Thomas Treber, Albrecht Stenzinger, Alexander Brobeil, Oliver Reinhard, Anette Duensing, Stefan Duensing, Markus Hohenfellner, Magdalena Görtz

Frontiers Digit. Health, 2025

2024

Encrypted federated learning for secure decentralized collaboration in cancer image analysis.

Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha, Gustav Müller-Franzes, Firas Khader, Philip Quirke, Nicholas P. West, Richard Gray, Gordon G. A. Hutchins, Jacqueline A. James, Maurice B. Loughrey, Manuel Salto-Tellez, Hermann Brenner, Alexander Brobeil, Tanwei Yuan, Jenny Chang-Claude, Michael Hoffmeister, Sebastian Foersch, Tianyu Han, Sebastian Keil, Maximilian Schulze-Hagen, Peter Isfort, Philipp Bruners, Georgios Kaissis, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather

Medical Image Anal., February, 2024

2023

Regression-based Deep-Learning predicts molecular biomarkers from pathology slides.

Omar S. M. El Nahhas, Chiara Maria Lavinia Loeffler, Zunamys I. Carrero, Marko van Treeck, Fiona R. Kolbinger, Katherine Jane Hewitt, Hannah Sophie Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge S. Reis-Filho, Jakob Nikolas Kather

CoRR, 2023