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Institut für Klinische Pathologie

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Computational Pathology

We deploy computational methods for solving clinically relevant tasks on a variety of histopathology data sets. Digitized stained histology slides (whole slide images) as well as spatially resolved absorption and scattering spectra are investigated with deep learning-based methods. We aim to integrate computational methods into routine diagnostic workflows to facilitate and streamline pathologic diagnosis, prognosis and prediction.

Dr. Andreas Weber-Steinhilber

Institute for Surgical Pathology

Faculty of Medicine – University of Freiburg

Breisacher Str. 115a

D-79106 Freiburg

Germany

 

Tel: +49 761 270 80310

andreas.weber.pathologie@uniklinik-freiburg.de

LinkedIn: www.linkedin.com/in/andreas-weber-steinhilber-70a9ab1a3

  • Biomarker prediction
  • Survival analysis
  • Tissue classification
  • Explainable AI
  • Workflow digitization

  • Image Analysis
  • Deep Learning
  • Raman Spectroscopy
  • Infrared Spectroscopy
 
Andreas Weber-Steinhilber, Dr. rer. nat. (Group leader)
Niklas Schmider (Master student informatics)
Karl-Moritz Schröder, Dr. med. (Resident physician pathology)
Kathrin Enderle-Ammour, Dr. med. (Resident physician pathology)
Jannis Heyer, Dr. med. (Resident physician pathology)

 

Internal collaborations:

- PD Dr. Peter Bronsert (Institute for Surgical Pathology)

- Prof. Dr. Oliver Schilling (Institute for Surgical Pathology)

- Dr. Melanie Föll (Institute for Surgical Pathology)

- PD Dr. Dr. Leonard Brandenburg (Department of Oral and Maxillofacial Surgery)

- Dr. Jakob Strähle (Department of Neurosurgery)

- Dr. Martin Peter Pichotka (Medical Physics, Department of Radiology)

- Dr. Valentin Burkhardt (Department of Oto-Rhino-Laryngology)

- Dr. Uyen-Thao Le (Department of Thoracic Surgery)

- Dr. Christian Haverkamp (Institute for Digitization in Medicine)

 

External collaborations:

- Olga Vitek (Northeastern University, Boston, USA)

- Joachim Georgii (Fraunhofer MEVIS, Bremen, Germany)

- Maximilian Schmidt (aisencia, Bremen, Germany)

- Aikaterini Nakou (DHBW Lörrach, Germany)

2025

  • Schröder, K., Weber, A., Schmid, M., Hassan, M., Le, U., Schmid, S., Passlick, B., Werner, M., Ohm, B., & Bronsert, P. (2025). Detection of malignant lung tumors using stimulated Raman histology and convolutional neural networks. Journal Of Thoracic Disease, 17(9), 6815-6825. doi:10.21037/jtd-2024-1928

  • Weber, A., Enderle-Ammour, K., Schröder, K., Metzger, M., Brandenburg, L., Beck, J., Straehle, J., Steybe, D., Hassan, M., Schmid, S., Ohm, B., Werner, M., Passlick, B., Schmelzeisen, R., Le, U., & Bronsert, P. (2025). Influence of preprocessing of stimulated Raman scattering images on the performance of deep neural networks for detecting cancer tissue. Quantitative Imaging In Medicine And Surgery, 15(9), 7711-7726. doi:10.21037/qims-2024-2608

  • Kist, M., Strenge, P., Keck, T. et al. Intraoperative differentiation of pancreatic neoplastic lesions using optical coherence tomography (OCT). Langenbecks Arch Surg 410, 227 (2025). doi.org/10.1007/s00423-025-03810-9

2024

  • Sai Srikanth Lakkimsetty, Andreas Weber, Kylie A Bemis, Verena Stehl, Peter Bronsert, Melanie C Föll, Olga Vitek, MSIreg: an R package for unsupervised coregistration of mass spectrometry and H&E images, Bioinformatics, Volume 40, Issue 11, November 2024, btae624, https://doi.org/10.1093/bioinformatics/btae624

  • Weber, A.; Enderle-Ammour, K.; Kurowski, K.; Metzger, M.C.; Poxleitner, P.; Werner, M.; Rothweiler, R.; Beck, J.; Straehle, J.; Schmelzeisen, R.; et al. AI-Based Detection of Oral Squamous Cell Carcinoma with Raman Histology. Cancers 2024, 16, 689. doi.org/10.3390/cancers16040689

2023

  • Steybe, D., Poxleitner, P., Metzger, M.C. et al. Stimulated Raman histology for histological evaluation of oral squamous cell carcinoma. Clin Oral Invest 27, 4705–4713 (2023). doi.org/10.1007/s00784-023-05098-9

Kontakt Forschung

Generelle Anfragen zur Forschung am Institut
pathologie.projektkoord@uniklinik-freiburg.de

Forschungsverbünde:

Institut für Klinische Pathologie
Universitätsklinikum Freiburg
Breisacher Str. 115a
79106 Freiburg
Tel.: +49 761 270 80060 (Sekretariat)
Fax: +49 761 270-80040
pathologie.direktion@uniklinik-freiburg.de

Postanschrift:
Postfach 214
79002 Freiburg