Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Dive into the research topics where Peter Schüffler is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Contrastive virtual staining enhances deep learning-based PDAC subtyping from H&E-stained tissue cores
Fischer, M., Muckenhuber, A., Peretzke, R., Farah, L., Ulrich, C., Ziegler, S., Schader, P., Feineis, L., Gao, H., Xiao, S., Götz, M., Nolden, M., Steiger, K., Sieveke, J. T., Endrös, L., Braren, R., Kleesiek, J., Schüffler, P., Neher, P. & Maier-Hein, K., Jan 2026, In: Journal of Pathology. 268, 1, p. 89-98 10 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Developing a smart and scalable tool for histopathological education—PATe 2.0
Winter, L., Artinger, A., Böck, H., Ramakrishnan, V., Reible, B., Albin, J., Schüffler, P. J., Raptis, G. & Brochhausen, C., Jan 2026, In: Journal of Pathology Informatics. 20, 100535.Research output: Contribution to journal › Article › peer-review
Open Access -
From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis
Weers, A., Berger, A. H., Lux, L., Schüffler, P., Rueckert, D. & Paetzold, J. C., 2026, In: Proceedings of Machine Learning Research. 315, p. 1153-1177 25 p.Research output: Contribution to journal › Conference article › peer-review
1 Scopus citations -
HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift
Liu, J., Li, H., Yang, C., Deutges, M., Sadafi, A., You, X., Breininger, K., Navab, N. & Schüffler, P. J., 2026, Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, Proceedings. Gee, J. C., Hong, J., Sudre, C. H., Golland, P., Alexander, D. C., Iglesias, J. E., Venkataraman, A. & Kim, J. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 332-342 11 p. (Lecture Notes in Computer Science; vol. 15965 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations -
LLM-gestützte Extraktion klinischer Daten: Potenziale und Herausforderungen
Translated title of the contribution :LLM-based extraction of clinical data: potentials and challenges Research output: Contribution to journal › Article › peer-review