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Sebastian Foersch

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The Journal of Pathology. Clinical Research|August 23, 2024
TROP2 in colorectal carcinoma: associations with histopathology, molecular phenotype, and patient prognosisSebastian Foersch, Maxime Schmitt, Anne-Sophie Litmeyer, et al.
Endocrine Pathology|August 20, 2025
Exploring Intratumoral Heterogeneity in Mixed Neuroendocrine-Nonneuroendocrine Neoplasms with Spatial Transcriptomics: Even More Diverse Than AnticipatedAnnika Weiß, Julia Teply-Szymanski, Maxime Schmitt, et al.
The Journal of Pathology|December 15, 2023
Extracting structured information from unstructured histopathology reports using generative pre-trained transformer 4 (GPT-4)Daniel Truhn, Chiara Ml Loeffler, Gustav Müller-Franzes, et al.
Breast (Edinburgh, Scotland)|November 12, 2021
Interassay and interobserver comparability study of four programmed death-ligand 1 (PD-L1) immunohistochemistry assays in triple-negative breast cancerAurelia Noske, Daniel-Christoph Wagner, Kristina Schwamborn, et al.
European Urology|May 2, 2020
Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological SlidesAnn-Christin Woerl, Markus Eckstein, Josephine Geiger, et al.
European Radiology|July 27, 2025
Diagnostic performance of artificial intelligence models for pulmonary nodule classification: a multi-model evaluationSarah K Herber, Lukas Müller, Daniel Pinto Dos Santos, et al.
Scientific Reports|August 19, 2021
Comparative analysis of nuclear and mitochondrial DNA from tissue and liquid biopsies of colorectal cancer patientsAnna Haupts, Anne Vogel, Sebastian Foersch, et al.
Oncotarget|November 8, 2017
Prognostic relevance of androgen receptor expression in renal cell carcinomasSebastian Foersch, Mario Schindeldecker, Martina Keith, et al.
Frontiers in Oncology|December 13, 2021
Multimodal Deep Learning for Prognosis Prediction in Renal CancerStefan Schulz, Ann-Christin Woerl, Florian Jungmann, et al.
Pathobiology : Journal of Immunopathology, Molecular and Cellular Biology|November 14, 2023
CD15 Is a Risk Predictor and a Novel Target in Clear Cell Renal Cell CarcinomaPhilipp Joachim Stenzel, Mario Schindeldecker, Larissa Seidmann, et al.
Pageof 8

Showing results (21-30 of 73) with videos related to

Sort By:
Pageof 8
The Journal of Pathology. Clinical Research|August 23, 2024
TROP2 in colorectal carcinoma: associations with histopathology, molecular phenotype, and patient prognosisSebastian Foersch, Maxime Schmitt, Anne-Sophie Litmeyer, et al.
Endocrine Pathology|August 20, 2025
Exploring Intratumoral Heterogeneity in Mixed Neuroendocrine-Nonneuroendocrine Neoplasms with Spatial Transcriptomics: Even More Diverse Than AnticipatedAnnika Weiß, Julia Teply-Szymanski, Maxime Schmitt, et al.
The Journal of Pathology|December 15, 2023
Extracting structured information from unstructured histopathology reports using generative pre-trained transformer 4 (GPT-4)Daniel Truhn, Chiara Ml Loeffler, Gustav Müller-Franzes, et al.
Breast (Edinburgh, Scotland)|November 12, 2021
Interassay and interobserver comparability study of four programmed death-ligand 1 (PD-L1) immunohistochemistry assays in triple-negative breast cancerAurelia Noske, Daniel-Christoph Wagner, Kristina Schwamborn, et al.
European Urology|May 2, 2020
Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological SlidesAnn-Christin Woerl, Markus Eckstein, Josephine Geiger, et al.
European Radiology|July 27, 2025
Diagnostic performance of artificial intelligence models for pulmonary nodule classification: a multi-model evaluationSarah K Herber, Lukas Müller, Daniel Pinto Dos Santos, et al.
Scientific Reports|August 19, 2021
Comparative analysis of nuclear and mitochondrial DNA from tissue and liquid biopsies of colorectal cancer patientsAnna Haupts, Anne Vogel, Sebastian Foersch, et al.
Oncotarget|November 8, 2017
Prognostic relevance of androgen receptor expression in renal cell carcinomasSebastian Foersch, Mario Schindeldecker, Martina Keith, et al.
Frontiers in Oncology|December 13, 2021
Multimodal Deep Learning for Prognosis Prediction in Renal CancerStefan Schulz, Ann-Christin Woerl, Florian Jungmann, et al.
Pathobiology : Journal of Immunopathology, Molecular and Cellular Biology|November 14, 2023
CD15 Is a Risk Predictor and a Novel Target in Clear Cell Renal Cell CarcinomaPhilipp Joachim Stenzel, Mario Schindeldecker, Larissa Seidmann, et al.
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