Klauschen, Frederick

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

Bach, S., Binder, A., Montavon, G., Klauschen, F., Müller, K.-R., & Samek, W. (2015) · PLOS ONE

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 4,524

Tumour-infiltrating lymphocytes and prognosis in different subtypes of breast cancer: a pooled analysis of 3771 patients treated with neoadjuvant therapy

Denkert, C., von Minckwitz, G., Darb-Esfahani, S., Lederer, B., Heppner, B. I., Weber, K. E., Budczies, J., Huober, J., Klauschen, F., Furlanetto, J., et al. (2018) · The Lancet Oncology

Breast Cancer Treatment StudiesBreast Lesions and Carcinomas

Cited by 2,157

SAP-controlled T–B cell interactions underlie germinal centre formation

Qi, H., Cannons, J. L., Klauschen, F., Schwartzberg, P. L., & Germain, R. N. (2008) · Nature

T-cell and B-cell ImmunologyImmunodeficiency and Autoimmune Disorders

Cited by 637

Sphingosine-1-phosphate mobilizes osteoclast precursors and regulates bone homeostasis

Ishii, M., Egen, J. G., Klauschen, F., Meier-Schellersheim, M., Saeki, Y., Vacher, J., Proia, R. L., & Germain, R. N. (2009) · Nature

Bone Metabolism and DiseasesSphingolipid Metabolism and Signaling

Cited by 515

Cd8 + T Cells Orchestrate pDC-XCR1 + Dendritic Cell Spatial and Functional Cooperativity to Optimize Priming

Brewitz, A., Eickhoff, S., Dähling, S., Quast, T., Bedoui, S., Kroczek, R. A., Kurts, C., Garbi, N., Barchet, W., Iannacone, M., et al. (2017) · Immunity

Immunotherapy and Immune ResponsesT-cell and B-cell Immunology

Cited by 339

Robust Anti-Viral Immunity Requires Multiple Distinct T Cell-Dendritic Cell Interactions

Eickhoff, S., Brewitz, A., Gerner, M. Y., Klauschen, F., Komander, K., Hemmi, H., Garbi, N., Kaisho, T., Germain, R. N., & Kastenmüller, W. (2015) · Cell

Immunotherapy and Immune ResponsesT-cell and B-cell Immunology

Cited by 337

Comprehensive Genomic and Transcriptomic Analysis for Guiding Therapeutic Decisions in Patients with Rare Cancers

Horak, P., Heining, C., Kreutzfeldt, S., Hutter, B., Mock, A., Hüllein, J., Fröhlich, M., Uhrig, S., Jahn, A., Rump, A., et al. (2021) · Cancer Discovery

Cancer Genomics and DiagnosticsGenomics and Rare Diseases

Cited by 290

Morphological and molecular breast cancer profiling through explainable machine learning

Binder, A., Bockmayr, M., Hägele, M., Wienert, S., Heim, D., Hellweg, K., Ishii, M., Stenzinger, A., Hocke, A., Denkert, C., et al. (2021) · Nature Machine Intelligence

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 156

Subgroup-specific immune and stromal microenvironment in medulloblastoma

Bockmayr, M., Mohme, M., Klauschen, F., Winkler, B., Budczies, J., Rutkowski, S., & Schüller, U. (2018) · OncoImmunology

Glioma Diagnosis and TreatmentCancer Immunotherapy and Biomarkers

Cited by 121

Structure and content of the EU-IVDR: Current status and implications for pathology

Kahles, A., Goldschmid, H., Volckmar, A.-L., Ploeger, C., Kazdal, D., Penzel, R., Budczies, J., Kempny, G., Kazmierczak, M., Flechtenmacher, C., et al. (2023) · Die Pathologie

Healthcare RegulationClinical Laboratory Practices and Quality Control

Cited by 27

RudolfV: A Foundation Model by Pathologists for Pathologists

Dippel, J., Feulner, B., Winterhoff, T., Milbich, T., Tietz, S., Schallenberg, S., Dernbach, G., Kunft, A., Heinke, S., Eich, M.-L., et al. (2024) · arXiv

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 27

Towards Robust Foundation Models for Digital Pathology

Kömen, J., de Jong, E. D., Hense, J., Marienwald, H., Dippel, J., Naumann, P., Marcus, E., Ruff, L., Alber, M., Teuwen, J., et al. (2025) · arXiv

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 10

OpenDVP: an experimental and computational framework for community-empowered deep visual proteomics

Nimo, J., Fritzsche, S., Valdes, D. S., Trinh, M., Pentimalli, T., Klingeberg, M., Schallenberg, S., Klauschen, F., Herse, F., Florian, S., et al. (2026) · Nature Methods

Single-cell and spatial transcriptomicsAdvanced Proteomics Techniques and Applications

Cited by 0