Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. - Narmin Ghaffari Laleh; Hannah Sophie Muti; Chiara Maria Lavinia Loeffler; Amelie Echle; Oliver Lester Saldanha; Faisal Mahmood 001; Ming Y. Lu; Christian Trautwein; Rupert Langer; Bastian Dislich; Roman David Bülow; Heike Irmgard Grabsch; et al. (Medical Image Anal., 2022)

Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474. - Narmin Ghaffari Laleh; Hannah Sophie Muti; Chiara Maria Lavinia Loeffler; Amelie Echle; Oliver Lester Saldanha; Faisal Mahmood 001; Ming Y. Lu; Christian Trautwein; Rupert Langer; Bastian Dislich; Roman David Bülow; Heike Irmgard Grabsch; et al. (Medical Image Anal., 2022)

Test Time Augmentation Meets Post-hoc Calibration: Uncertainty Quantification under Real-World Conditions. - Achim Hekler; Titus J. Brinker; Florian Buettner 001 (AAAI, 2023)

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

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma. - Tirtha Chanda; Katja Hauser; Sarah Hobelsberger; Tabea-Clara Bucher; Carina Nogueira Garcia; Christoph Wies; Harald Kittler; Philipp Tschandl; Cristian Navarrete-Dechent; Sebastian Podlipnik; Emmanouil Chousakos; Iva Crnaric; et al. (CoRR, 2023)

Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation. - Katharina Fogelberg; Sireesha Chamarthi; Roman C. Maron; Julia Niebling; Titus J. Brinker (CoRR, 2023)

Using Multiple Dermoscopic Photographs of One Lesion Improves Melanoma Classification via Deep Learning: A Prognostic Diagnostic Accuracy Study. - Achim Hekler; Roman C. Maron; Sarah Haggenmüller; Max Schmitt; Christoph Wies; Jochen S. Utikal; Friedegund Meier; Sarah Hobelsberger; Frank Friedrich Gellrich; Mildred Sergon; Axel Hauschild; Lars E. French; et al. (CoRR, 2023)

Evaluating Deep Learning-based Melanoma Classification using Immunohistochemistry and Routine Histology: A Three Center Study. - Christoph Wies; Lucas Schneider; Sarah Haggenmüller; Tabea-Clara Bucher; Sarah Hobelsberger; Markus V. Heppt; Gerardo Ferrara; Eva Krieghoff-Henning; Titus J. Brinker (CoRR, 2023)

Mitigating the Influence of Domain Shift in Skin Lesion Classification: A Benchmark Study of Unsupervised Domain Adaptation Methods on Dermoscopic Images. - Sireesha Chamarthi; Katharina Fogelberg; Roman C. Maron; Titus J. Brinker; Julia Niebling (CoRR, 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)

Clinical Melanoma Diagnosis with Artificial Intelligence: Insights from a Prospective Multicenter Study. - Lukas Heinlein; Roman C. Maron; Achim Hekler; Sarah Haggenmüller; Christoph Wies; Jochen S. Utikal; Friedegund Meier; Sarah Hobelsberger; Frank Friedrich Gellrich; Mildred Sergon; Axel Hauschild; Lars E. French; et al. (CoRR, 2024)

Advancing dermatological diagnosis: Development of a hyperspectral dermatoscope for enhanced skin imaging. - Martin J. Hetz; Carina Nogueira Garcia; Sarah Haggenmüller; Titus J. Brinker (CoRR, 2024)

Superhuman performance in urology board questions by an explainable large language model enabled for context integration of the European Association of Urology guidelines: the UroBot study. - Martin J. Hetz; Nicolas Carl; Sarah Haggenmüller; Christoph Wies; Maurice Stephan Michel; Frederik Wessels; Titus J. Brinker (CoRR, 2024)

Prompt Injection Attacks on Large Language Models in Oncology. - Jan Clusmann; Dyke Ferber; Isabella C. Wiest; Carolin V. Schneider; Titus J. Brinker; Sebastian Foersch; Daniel Truhn; Jakob Nikolas Kather (CoRR, 2024)

Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study. - Tirtha Chanda; Sarah Haggenmüller; Tabea-Clara Bucher; Tim Holland-Letz; Harald Kittler; Philipp Tschandl; Markus V. Heppt; Carola Berking; Jochen S. Utikal; Bastian Schilling; Claudia Buerger; Cristian Navarrete-Dechent; et al. (CoRR, 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; et al. (CoRR, 2024)

Multi-domain stain normalization for digital pathology: A cycle-consistent adversarial network for whole slide images. - Martin J. Hetz; Tabea-Clara Bucher; Titus J. Brinker (Medical Image Anal., 2024)