Titus J. Brinker

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 18

Top Topics

Top Venues

Medical Image Anal.

Publications

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, Lucie Heinzerling, Justin G. Schlager, Kamran Ghoreschi, Max Schlaak, Franz J. Hilke, Gabriela Poch, Sören Korsing, Carola Berking, Markus V. Heppt, Michael Erdmann, Sebastian Haferkamp, Konstantin Drexler, Dirk Schadendorf, Wiebke Sondermann, Matthias Goebeler, Bastian Schilling, Eva Krieghoff-Henning, Titus J. Brinker
Clinical Melanoma Diagnosis with Artificial Intelligence: Insights from a Prospective Multicenter Study. CoRR (2024)
Martin J. Hetz, Nicolas Carl, Sarah Haggenmüller, Christoph Wies, Maurice Stephan Michel, Frederik Wessels, Titus J. Brinker
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. CoRR (2024)
Jan Clusmann, Dyke Ferber, Isabella C. Wiest, Carolin V. Schneider, Titus J. Brinker, Sebastian Foersch, Daniel Truhn, Jakob Nikolas Kather
Prompt Injection Attacks on Large Language Models in Oncology. CoRR (2024)
Martin J. Hetz, Carina Nogueira Garcia, Sarah Haggenmüller, Titus J. Brinker
Advancing dermatological diagnosis: Development of a hyperspectral dermatoscope for enhanced skin imaging. CoRR (2024)
Martin J. Hetz, Tabea-Clara Bucher, Titus J. Brinker
Multi-domain stain normalization for digital pathology: A cycle-consistent adversarial network for whole slide images. Medical Image Anal. 94 (2024)
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, Jovana Majstorovic, Linda Alhajwan, Tanya Foreman, Sandra Peternel, Sergei Sarap, Irem Özdemir, Raymond L. Barnhill, Mar Llamas Velasco, Gabriela Poch, Sören Korsing, Wiebke Sondermann, Frank Friedrich Gellrich, Markus V. Heppt, Michael Erdmann, Sebastian Haferkamp, Konstantin Drexler, Matthias Goebeler, Bastian Schilling, Jochen S. Utikal, Kamran Ghoreschi, Stefan Fröhling, Eva Krieghoff-Henning, Titus J. Brinker
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma. CoRR (2023)
Alexander Kurz, Hendrik Alexander Mehrtens, Tabea-Clara Bucher, Titus J. Brinker
On the calibration of neural networks for histological slide-level classification. CoRR (2023)
Martin J. Hetz, Tabea-Clara Bucher, Titus J. Brinker
Multi-domain stain normalization for digital pathology: A cycle-consistent adversarial network for whole slide images. CoRR (2023)
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, Lucie Heinzerling, Justin G. Schlager, Kamran Ghoreschi, Max Schlaak, Franz J. Hilke, Gabriela Poch, Sören Korsing, Carola Berking, Markus V. Heppt, Michael Erdmann, Sebastian Haferkamp, Konstantin Drexler, Dirk Schadendorf, Wiebke Sondermann, Matthias Goebeler, Bastian Schilling, Jakob Nikolas Kather, Eva Krieghoff-Henning, Titus J. Brinker
Using Multiple Dermoscopic Photographs of One Lesion Improves Melanoma Classification via Deep Learning: A Prognostic Diagnostic Accuracy Study. CoRR (2023)
Hendrik Alexander Mehrtens, Tabea-Clara Bucher, Titus J. Brinker
Pitfalls of Conformal Predictions for Medical Image Classification. UNSURE@MICCAI (2023)
Hendrik Alexander Mehrtens, Alexander Kurz, Tabea-Clara Bucher, Titus J. Brinker
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise. Medical Image Anal. 89 (2023)
Christoph Wies, Lucas Schneider, Sarah Haggenmüller, Tabea-Clara Bucher, Sarah Hobelsberger, Markus V. Heppt, Gerardo Ferrara, Eva Krieghoff-Henning, Titus J. Brinker
Evaluating Deep Learning-based Melanoma Classification using Immunohistochemistry and Routine Histology: A Three Center Study. CoRR (2023)
Achim Hekler, Titus J. Brinker, Florian Buettner
Test Time Augmentation Meets Post-hoc Calibration: Uncertainty Quantification under Real-World Conditions. AAAI (2023)
Hendrik A. Mehrtens, Alexander Kurz, Tabea-Clara Bucher, Titus J. Brinker
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise. CoRR (2023)
Sireesha Chamarthi, Katharina Fogelberg, Roman C. Maron, Titus J. Brinker, Julia Niebling
Mitigating the Influence of Domain Shift in Skin Lesion Classification: A Benchmark Study of Unsupervised Domain Adaptation Methods on Dermoscopic Images. CoRR (2023)
Katharina Fogelberg, Sireesha Chamarthi, Roman C. Maron, Julia Niebling, Titus J. Brinker
Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation. CoRR (2023)
Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, Ming Y. Lu, Christian Trautwein, Rupert Langer, Bastian Dislich, Roman D. Buelow, Heike Irmgard Grabsch, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Titus J. Brinker, Firas Khader, Daniel Truhn, Nadine T. Gaisa, Peter Boor, Michael Hoffmeister, Volkmar Schulz, Jakob Nikolas Kather
Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474. Medical Image Anal. 82 (2022)
Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, Ming Y. Lu, Christian Trautwein, Rupert Langer, Bastian Dislich, Roman D. Buelow, Heike Irmgard Grabsch, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Titus J. Brinker, Firas Khader, Daniel Truhn, Nadine T. Gaisa, Peter Boor, Michael Hoffmeister, Volkmar Schulz, Jakob Nikolas Kather
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. Medical Image Anal. 79 (2022)