Esther Dietrich

According to our database, Esther Dietrich authored at least 5 papers between 2021 and 2026.

Collaborative distances:

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

2026

A systematic analysis of the impact of data variation on AI-based histopathological grading of prostate cancer.

Patrick Fuhlert, Fabian Westhaeusser, Esther Dietrich, Maximilian Lennartz, Robin Khatri, Nico Kaiser, Pontus Röbeck, Roman David Bülow, Saskia Von Stillfried, Anja Witte, Sam Ladjevardi, Anders Drotte, Peter Severgårdh, Jan Baumbach, Victor G. Puelles, Michael Häggman, Michael Brehler, Peter Boor, Peter Walhagen, Anca Dragomir, Christer Busch, Markus Graefen, Ewert Bengtsson, Guido Sauter, Marina Zimmermann, Stefan Bonn

Medical Image Anal., 2026

2022

Deep learning-based discrete-time survival prediction on prostate cancer histopathology images

Esther Dietrich

PhD thesis, 2022

Deep Learning-Based Discrete Calibrated Survival Prediction.

Patrick Fuhlert, Anne Ernst, Esther Dietrich, Fabian Westhaeusser, Karin Kloiber, Stefan Bonn

Proceedings of the IEEE International Conference on Digital Health, 2022

2021

Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network.

Esther Dietrich, Patrick Fuhlert, Anne Ernst, Guido Sauter, Maximilian Lennartz, H. Siegfried Stiehl, Marina Zimmermann, Stefan Bonn

Proceedings of the Machine Learning for Health, 2021

Deep Learning-Based Bias Transfer for Overcoming Laboratory Differences of Microscopic Images.

Ann-Katrin Thebille, Esther Dietrich, Martin Klaus, Lukas Gernhold, Maximilian Lennartz, Christoph Kuppe, Rafael Kramann, Tobias B. Huber, Guido Sauter, Victor G. Puelles, Marina Zimmermann, Stefan Bonn

Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021