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S. Foersch · SciRah

Researcher profile · Semantic Scholar

S. Foersch

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S. Foersch — researcher profile on SciRah

h-index: 28
Works: 69
Citations: 3,269

Most-cited papers

Denoising diffusion probabilistic models for 3D medical image generation
Firas Khader, Gustav Müller-Franzes, Soroosh Tayebi Arasteh, T. Han +11 more
2023Scientific Reports384 citations Open access
Semantic Scholar
Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study
S. Wagner, Daniel Reisenbüchler, N. West, J. Niehues +44 more
2023Cancer Cell295 citations Open access
Semantic Scholar
Swarm learning for decentralized artificial intelligence in cancer histopathology
O. Saldanha, P. Quirke, N. West, Jacqueline A. James +23 more
2021Nature Medicine209 citations Open access
Semantic Scholar
Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology
Dyke Ferber, O. E. El Nahhas, G. Wölflein, I. Wiest +10 more
2025Nature Cancer193 citations Open access
Semantic Scholar
Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological Slides.
A. Woerl, M. Eckstein, J. Geiger, Daniel-Christoph Wagner +7 more
2020European Urology146 citations
Semantic Scholar
Artificial intelligence to identify genetic alterations in conventional histopathology
Didem Cifci, S. Foersch, Jakob Nikolas Kather
2022Journal of Pathology125 citations Open access
Semantic Scholar
Extracting structured information from unstructured histopathology reports using generative pre‐trained transformer 4 (GPT‐4)
D. Truhn, C. M. Loeffler, Gustav Müller-Franzes, S. Nebelung +5 more
2023Journal of Pathology118 citations Open access
Semantic Scholar
From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology
O. E. El Nahhas, Marko van Treeck, G. Wölflein, Michaela Unger +8 more
2024Nature Protocols116 citations
Semantic Scholar
Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study
J. Niehues, P. Quirke, N. West, H. Grabsch +15 more
2023Cell Reports Medicine108 citations Open access
Semantic Scholar
Multimodal Deep Learning for Prognosis Prediction in Renal Cancer
S. Schulz, A. Woerl, F. Jungmann, Christina Glasner +8 more
2021Frontiers in Oncology106 citations Open access
Semantic Scholar
Deep learning for diagnosis and survival prediction in soft tissue sarcoma.
S. Foersch, M. Eckstein, D. Wagner, F. Gach +10 more
2021Annals of Oncology105 citations Open access
Semantic Scholar
End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study.
Xiaofeng Jiang, M. Hoffmeister, Hermann Brenner, H. Muti +15 more
2024The Lancet Digital Health95 citations Open access
Semantic Scholar
Benchmarking foundation models as feature extractors for weakly-supervised computational pathology
P. Neidlinger, O. E. El Nahhas, H. Muti, Tim Lenz +12 more
2024arXiv.org94 citations
Semantic Scholar
PARP-1 protects against colorectal tumor induction, but promotes inflammation-driven colorectal tumor progression
Bastian Dörsam, Nina Seiwert, S. Foersch, Svenja Stroh +15 more
2018Proceedings of the National Academy of Sciences of the United States of America94 citations Open access
Semantic Scholar
Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Generation
Firas Khader, G. Mueller-Franzes, S. T. Arasteh, T. Han +11 more
202289 citations
Semantic Scholar
Prompt injection attacks on vision language models in oncology
J. Clusmann, Dyke Ferber, I. Wiest, C. Schneider +4 more
2025Nature Communications86 citations Open access
Semantic Scholar
An overview and a roadmap for artificial intelligence in hematology and oncology
Wiebke Rösler, M. Altenbuchinger, B. Baessler, T. Beissbarth +17 more
2023Journal of Cancer Research and Clinical Oncology67 citations Open access
Semantic Scholar
Prognostic and Predictive Value of Tumor-infiltrating Leukocytes and of Immune Checkpoint Molecules PD1 and PDL1 in Clear Cell Renal Cell Carcinoma
P. Stenzel, M. Schindeldecker, K. Tagscherer, S. Foersch +8 more
2019Translational Oncology60 citations Open access
Semantic Scholar
Medical domain knowledge in domain-agnostic generative AI
Jakob Nikolas Kather, Narmin Ghaffari Laleh, S. Foersch, D. Truhn
2022npj Digital Medicine58 citations Open access
Semantic Scholar
Automatic structuring of radiology reports with on-premise open-source large language models
Piotr Woźnicki, Caroline Laqua, Ina Fiku, Amar Hekalo +8 more
2024European Radiology57 citations Open access
Semantic Scholar
Appendiceal goblet cell carcinoids and adenocarcinomas ex-goblet cell carcinoid are genetically distinct from primary colorectal-type adenocarcinoma of the appendix
M. Jesinghaus, B. Konukiewitz, S. Foersch, A. Stenzinger +10 more
2018Modern Pathology54 citations Open access
Semantic Scholar
AI in Computational Pathology of Cancer: Improving Diagnostic Workflows and Clinical Outcomes?
Didem Cifci, G. Veldhuizen, S. Foersch, Jakob Nikolas Kather
2023Annual Review of Cancer Biology40 citations Open access
Semantic Scholar
Direct prediction of genetic aberrations from pathology images in gastric cancer with swarm learning
O. Saldanha, H. Muti, H. Grabsch, R. Langer +11 more
2022Gastric Cancer36 citations Open access
Semantic Scholar
The future of artificial intelligence in digital pathology - results of a survey across stakeholder groups
C. Heinz, A. Echle, S. Foersch, A. Bychkov +1 more
2021bioRxiv34 citations Open access
Semantic Scholar
Chronic intestinal inflammation drives colorectal tumor formation triggered by dietary heme iron in vivo
Nina Seiwert, Janine Adam, P. Steinberg, S. Wirtz +6 more
2021Archives of Toxicology34 citations Open access
Semantic Scholar
Autonomous Artificial Intelligence Agents for Clinical Decision Making in Oncology
Dyke Ferber, O. E. El Nahhas, G. Wölflein, I. Wiest +10 more
2024arXiv.org32 citations
Semantic Scholar
DLL3 Expression in Neuroendocrine Carcinomas and Neuroendocrine Tumours: Insights From a Multicentric Cohort of 1294 Pulmonary and Extrapulmonary Neuroendocrine Neoplasms
Maxime Schmitt, H. Bohnenberger, D. K. Bartsch, Daniel Wagner +17 more
2025Endocrine pathology29 citations Open access
Semantic Scholar
Loss of CDX2 in colorectal cancer is associated with histopathologic subtypes and microsatellite instability but is prognostically inferior to hematoxylin–eosin-based morphologic parameters from the WHO classification
B. Konukiewitz, Maxime Schmitt, Miguel Silva, J. Pohl +12 more
2021British Journal of Cancer28 citations Open access
Semantic Scholar
High Accumulation of Metformin in Colonic Tissue of Subjects With Diabetes or the Metabolic Syndrome
L. Paleari, J. Burhenne, J. Weiss, S. Foersch +12 more
2018Gastroenterology27 citations Open access
Semantic Scholar
Prognostic relevance of androgen receptor expression in renal cell carcinomas
S. Foersch, M. Schindeldecker, M. Keith, K. Tagscherer +7 more
2017OncoTarget26 citations Open access
Semantic Scholar
Assessment of decision-making with locally run and web-based large language models versus human board recommendations in otorhinolaryngology, head and neck surgery
C. Buhr, B. Ernst, A. Blaikie, Harry Smith +10 more
2025European Archives of Oto-Rhino-Laryngology22 citations Open access
Semantic Scholar
Morphology Matters
M. Jesinghaus, Max Schmitt, C. Lang, M. Reiser +16 more
2021American Journal of Surgical Pathology21 citations
Semantic Scholar
Comparative analysis of nuclear and mitochondrial DNA from tissue and liquid biopsies of colorectal cancer patients
A. Haupts, A. Vogel, S. Foersch, Monika Hartmann +8 more
2021Scientific Reports21 citations Open access
Semantic Scholar
Neuroendocrine Differentiation in Conventional Colorectal Adenocarcinomas: Incidental Finding or Prognostic Biomarker?
B. Konukiewitz, A. Kasajima, Maxime Schmitt, K. Schwamborn +15 more
2021Cancers21 citations Open access
Semantic Scholar
Assessing genotype–phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study
M. Gustav, M. van Treeck, N. Reitsam, Z. Carrero +18 more
2025The Lancet Digital Health19 citations Open access
Semantic Scholar
TROP2 in colorectal carcinoma: associations with histopathology, molecular phenotype, and patient prognosis
S. Foersch, Maxime Schmitt, Anne-Sophie Litmeyer, Markus Tschurtschenthaler +6 more
2024The Journal of Pathology: Clinical Research19 citations Open access
Semantic Scholar
Relationship between EGFR expression and subcellular localization with cancer development and clinical outcome
Ge Yan, M. Saeed, S. Foersch, J. Schneider +2 more
2019OncoTarget19 citations Open access
Semantic Scholar
Senescence-Associated Molecules and Tumor-Immune-Interactions as Prognostic Biomarkers in Colorectal Cancer
Franziska Kellers, Aurélie Fernandez, B. Konukiewitz, M. Schindeldecker +5 more
2022Frontiers in Medicine16 citations Open access
Semantic Scholar
Loss of SATB2 Occurs More Frequently Than CDX2 Loss in Colorectal Carcinoma and Identifies Particularly Aggressive Cancers in High-Risk Subgroups
Maxime Schmitt, Miguel Silva, B. Konukiewitz, C. Lang +11 more
2021Cancers16 citations Open access
Semantic Scholar
Unconditional Latent Diffusion Models Memorize Patient Imaging Data: Implications for Openly Sharing Synthetic Data
S. Dar, Marvin Seyfarth, I. Ayx, T. Papavassiliu +10 more
202415 citations
Semantic Scholar
High expression of insulinoma‐associated protein 1 (INSM1) distinguishes colorectal mixed and pure neuroendocrine carcinomas from conventional adenocarcinomas with diffuse expression of synaptophysin
Anne-Sophie Litmeyer, B. Konukiewitz, A. Kasajima, S. Foersch +13 more
2023The Journal of Pathology: Clinical Research14 citations Open access
Semantic Scholar
A deep learning framework for efficient pathology image analysis
P. Neidlinger, Tim Lenz, S. Foersch, C. Loeffler +23 more
2026Nature Communications13 citations Open access
Semantic Scholar
Prompt Injection Attacks on Large Language Models in Oncology
J. Clusmann, Dyke Ferber, I. Wiest, Carolin V. Schneider +4 more
2024arXiv.org13 citations
Semantic Scholar
MiNEN, amphicrine carcinomas, and conventional carcinomas with neuroendocrine differentiation: diagnostic criteria, open questions, and future perspectives
Moritz Jesinghaus, Maxime Schmitt, S. Foersch, Björn Konukiewitz
2025Virchows Archiv11 citations Open access
Semantic Scholar
From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology
O. E. El Nahhas, Marko van Treeck, Georg Wolflein, Michaela Unger +8 more
2023arXiv.org11 citations
Semantic Scholar
DeepMed: A unified, modular pipeline for end-to-end deep learning in computational pathology
M. van Treeck, Didem Cifci, N. G. Laleh, O. Saldanha +11 more
2021bioRxiv11 citations Open access
Semantic Scholar
Exploring Intratumoral Heterogeneity in Mixed Neuroendocrine-Nonneuroendocrine Neoplasms with Spatial Transcriptomics: Even More Diverse Than Anticipated
Annika Weiß, J. Teply-Szymanski, Maxime Schmitt, S. Foersch +6 more
2025Endocrine pathology9 citations Open access
Semantic Scholar
Deep Learning Discovers New Morphological Features while Predicting Genetic Alterations from Histopathology of Papillary Thyroid Carcinoma
Ingrid Marion, Stefan Schulz, Christina Glasner, J. Kather +16 more
2025Thyroid9 citations
Semantic Scholar
Nivolumab Reduces PD1 Expression and Alters Density and Proliferation of Tumor Infiltrating Immune Cells in a Tissue Slice Culture Model of Renal Cell Carcinoma
P. Stenzel, Nina Hörner, S. Foersch, Daniel-Christoph Wagner +7 more
2021Cancers9 citations Open access
Semantic Scholar
PITX2 as a Sensitive and Specific Marker of Midgut Neuroendocrine Tumors: Results from a Cohort of 1157 Primary Neuroendocrine Neoplasms.
Albert Grass, A. Kasajima, S. Foersch, M. Kriegsmann +21 more
2024Modern Pathology8 citations Open access
Semantic Scholar

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