Improving Robustness and Calibration in Ensembles with Diversity Regularization. - Hendrik Alexander Mehrtens; Camila González; Anirban Mukhopadhyay 003 (GCPR, 2022)

Pitfalls of Conformal Predictions for Medical Image Classification. - Hendrik Alexander Mehrtens; Tabea-Clara Bucher; Titus J. Brinker (UNSURE@MICCAI, 2023)

On the calibration of neural networks for histological slide-level classification. - Alexander Kurz 004; Hendrik Alexander Mehrtens; Tabea-Clara Bucher; Titus J. Brinker (CoRR, 2023)

Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise. - Hendrik Alexander Mehrtens; Alexander Kurz 004; Tabea-Clara Bucher; Titus J. Brinker (Medical Image Anal., 2023)

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; et al. (CoRR, 2024)