Schallenberg, Simon
Humboldt-Universität zu Berlin · Deutsches Konsortium für Translationale Krebsforschung · Charité – Universitätsmedizin Berlin
4 papers on CoChatORCID 0000-0002-7897-7116
Most cited papers
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Interactive explainable deep learning model informs prostate cancer diagnosis at MRI
Hamm, C. A., Baumgärtner, G. L., Biessmann, F., Beetz, N. L., Hartenstein, A., Savic, L. J., Froböse, K., Dräger, F., Schallenberg, S., Rudolph, M., et al. (2023) · Radiology
Radiomics and Machine Learning in Medical ImagingProstate Cancer Diagnosis and Treatment
Cited by 133
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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
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Extrachromosomal DNA–Driven Oncogene Dosage Heterogeneity Promotes Rapid Adaptation to Therapy in MYCN -Amplified Cancers
Montuori, G., Tu, F., Qin, D., Schmargon, R., Rodriguez-Fos, E., Helmsauer, K., Hui, H., Mandal, S., Purshouse, K., Fankhänel, L., et al. (2025) · Cancer Discovery
Neuroblastoma Research and TreatmentsGenomic variations and chromosomal abnormalities
Cited by 15
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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
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