Esther Dietrich

According to our database, Esther Dietrich authored at least 4 papers between 2021 and 2022.

Collaborative distances:

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

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