Hendrik Alexander Mehrtens

According to our database, Hendrik Alexander Mehrtens authored at least 5 papers between 2022 and 2024.

Collaborative distances:

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

2024

Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer.

Gesa Mittmann, Sara Laiouar-Pedari, Hendrik Alexander Mehrtens, Sarah Haggenmüller, Tabea-Clara Bucher, Tirtha Chanda, Nadine T. Gaisa, Mathias Wagner, Gilbert Georg Klamminger, Tilman T. Rau, Christina Neppl, Eva Maria Compérat, Andreas Gocht, Monika Hämmerle, Niels J. Rupp, Jula Westhoff, Irene Krücken, Maximillian Seidl, Christian M. Schürch, Marcus Bauer, Wiebke Solass, Yu Chun Tam, Florian Weber, Rainer Grobholz, Jaroslaw Augustyniak, Thomas Kalinski, Christian Hörner, Kirsten D. Mertz, Constanze Döring, Andreas Erbersdobler, Gabriele Deubler, Felix Bremmer, Ulrich Sommer, Michael Brodhun, Jon Griffin, Maria Sarah L. Lenon, Kiril Trpkov, Liang Cheng, Fei Chen, Angelique Levi, Guoping Cai, Tri Q. Nguyen, Ali Amin, Alessia Cimadamore, Ahmed Shabaik, Varsha Manucha, Nazeel Ahmad, Nidia Messias, Francesca Sanguedolce, Diana Taheri, Ezra Baraban, Liwei Jia, Rajal B. Shah, Farshid Siadat, Nicole Swarbrick, Kyung Park, Oudai Hassan, Siamak Sakhaie, Michelle R. Downes, Hiroshi Miyamoto, Sean R. Williamson, Tim Holland-Letz, Carolin V. Schneider, Jakob Nikolas Kather, Yuri Tolkach, Titus J. Brinker

CoRR, 2024

2023

Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise.

Hendrik Alexander Mehrtens, Alexander Kurz, Tabea-Clara Bucher, Titus J. Brinker

Medical Image Anal., October, 2023

On the calibration of neural networks for histological slide-level classification.

Alexander Kurz, Hendrik Alexander Mehrtens, Tabea-Clara Bucher, Titus J. Brinker

CoRR, 2023

Pitfalls of Conformal Predictions for Medical Image Classification.

Hendrik Alexander Mehrtens, Tabea-Clara Bucher, Titus J. Brinker

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

2022

Improving Robustness and Calibration in Ensembles with Diversity Regularization.

Hendrik Alexander Mehrtens, Camila González, Anirban Mukhopadhyay

Proceedings of the Pattern Recognition, 2022