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Robert Klopfleisch

Tierarzt

Name	Robert Klopfleisch
Place	Berlin (Wirkungsort) Deutschland
Gender	männlich
Academic degree	Dr. med. vet.
Profession	Tierarzt (characteristic profession)
Related	Friedrich-Loeffler-Institut (2002-2007) Institut für Infektionsmedizin Freie Universität Berlin. Fachbereich Humanmedizin
Further information	Tätig am Friedrich-Loeffler-Institut von 2002 bis 2007. Am Institut für Molekularbiologie tätig von 2002 bis 2004, am Institut für Infektionsmedizin von 2004 bis 2007. Habil.Schr. FU Berlin, Fachbereich Veterinärmedizin, 2013 Jun.-Prof. an der Freien Universität Berlin; Humanmedizin; Fachgebiet(e): Tierpathologie mit dem Schwerpunkt molekulare Onkologie
Record type	Person
GND-Identifier	130288969
Record ID	130288969
Involved in show all Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation Cross-species variability in lobular geometry and cytochrome P450 hepatic zonation : insights into CYP1A2, CYP2D6, CYP2E1 and CYP3A4 Pathologie von Lebertumoren im Tiermodell Harnessing macrophage-drug conjugates for allogeneic cell-based therapy of solid tumors via the TRAIN mechanism Retrospektive Analyse von Sektionsbefunden bei Neuweltkamelen in Deutschland in Hinblick auf Optimierung des Tierärztlichen Managements Artificial intelligence can be trained to predict c-KIT-11 mutational status of canine mast cell tumors from hematoxylin and eosin-stained histological slides Artificial intelligence predicts c-KIT exon 11 genotype by phenotype in canine cutaneous mast cell tumors: Can human observers learn it? Domain generalization across tumor types, laboratories, and species — Insights from the 2022 edition of the Mitosis Domain Generalization Challenge Information Mismatch in PHH3-Assisted Mitosis Annotation Leads to Interpretation Shifts in H&E Slide Analysis Morphologic examination of upper respiratory tract epithelium with special consideration of olfactory epithelium after SARS-CoV-2 infection Information mismatch in PHH3-assisted mitosis annotation leads to interpretation shifts in H&E slide analysis Author Correction: A comprehensive multi-domain dataset for mitotic figure detection Author Correction: IFNγ binding to extracellular matrix prevents fatal systemic toxicity Characterization of anthracycline-induced cardiotoxicity by diffusion tensor magnetic resonance imaging Artificial intelligence can be trained to predict c-KIT-11 mutational status of canine mast cell tumors from hematoxylin and eosin-stained histological slides Automated Nuclear Morphometry: A Deep Learning Approach for Prognostication in Canine Pulmonary Carcinoma to Enhance Reproducibility Cross-species variability in lobular geometry and cytochrome P450 hepatic zonation : insights into CYP1A2, CYP2D6, CYP2E1 and CYP3A4 Cross-species variability in lobular geometry and cytochrome P450 hepatic zonation: insights into CYP1A2, CYP2D6, CYP2E1 and CYP3A4 Deep Learning model predicts the c-Kit-11 mutational status of canine cutaneous mast cell tumors by HE stained histological slides Evaluating the histologic grade of digital squamous cell carcinomas in dogs and copy number variation of KIT Ligand — a correlation study Immunohistochemical and molecular genetic analysis of canine digital mast cell tumours Nuclear pleomorphism in canine cutaneous mast cell tumors: Comparison of reproducibility and prognostic relevance between estimates, manual morphometry, and algorithmic morphometry On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images Histological classification of canine and feline lymphoma using a modular approach based on deep learning and advanced image processing Cross-species oncogenomics offers insight into human muscle-invasive bladder cancer A comprehensive multi-domain dataset for mitotic figure detection SFRP1 Expression is Inversely Associated With Metastasis Formation in Canine Mammary Tumours IFNγ binding to extracellular matrix prevents fatal systemic toxicity Automated diagnosis of 7 canine skin tumors using machine learning on H&E-stained whole slide images Automated Volume Corrected Mitotic Index Calculation Through Annotation-Free Deep Learning using Immunohistochemistry as Reference Standard Cytologic scoring of equine exercise-induced pulmonary hemorrhage: Performance of human experts and a deep learning-based algorithm Domain generalization across tumor types, laboratories, and species – Insights from the 2022 edition of the Mitosis Domain Generalization Challenge IFNγ binding to extracellular matrix prevents fatal systemic toxicity Nuclear Morphometry using a Deep Learning-based Algorithm has Prognostic Relevance for Canine Cutaneous Mast Cell Tumors Pan-tumor T-lymphocyte detection using deep neural networks: Recommendations for transfer learning in immunohistochemistry Pan-tumor T-lymphocyte detection using deep neural networks: Recommendations for transfer learning in immunohistochemistry Publisher Correction: IFNγ binding to extracellular matrix prevents fatal systemic toxicity Periportal steatosis in mice affects distinct parameters of pericentral drug metabolism Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset Finerenone Reduces Renal RORγt γδ T Cells and Protects against Cardiorenal Damage A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research A large-scale dataset for mitotic figure assessment on whole slide images of canine cutaneous mast cell tumor Computer-assisted mitotic count using a deep learning–based algorithm improves interobserver reproducibility and accuracy Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region Deep Learning-based quantification of pulmonary hemosiderophages in cytology slides Field of Interest Proposal for Augmented Mitotic Cell Count : Comparison of Two Convolutional Networks Inter-species cell detection - datasets on pulmonary hemosiderophages in equine, human and feline specimens Investigations about the pathogenesis of Rift Valley fever virus encephalitis in mouse models Myocardial Infarction After High-Dose Catecholamine Application—A Case Report From an Experimental Imaging Study Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control Liver X Receptor Agonist AZ876 Induces Beneficial Endogenous Cardiac Lipid Reprogramming and Protects Against Isoproterenol-Induced Cardiac Damage A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research Computerized Calculation of Mitotic Count Distribution in Canine Cutaneous Mast Cell Tumor Sections: Mitotic Count Is Area Dependent Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides Nachweis der BRAF-Mutation bei kaninen Prostataerkrankungen Adipose tissue ATGL modifies the cardiac lipidome in pressure-overload-induced left ventricular failure Veterinary Oncology : A Short Textbook MicroRNA expression patterns in canine mammary cancer show significant differences between metastatic and non-metastatic tumours

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Katalog der Deutschen Nationalbibliothek

Robert Klopfleisch

Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation

Cross-species variability in lobular geometry and cytochrome P450 hepatic zonation : insights into CYP1A2, CYP2D6, CYP2E1 and CYP3A4

Pathologie von Lebertumoren im Tiermodell

Harnessing macrophage-drug conjugates for allogeneic cell-based therapy of solid tumors via the TRAIN mechanism

Retrospektive Analyse von Sektionsbefunden bei Neuweltkamelen in Deutschland in Hinblick auf Optimierung des Tierärztlichen Managements

Artificial intelligence can be trained to predict c-KIT-11 mutational status of canine mast cell tumors from hematoxylin and eosin-stained histological slides

Artificial intelligence predicts c-KIT exon 11 genotype by phenotype in canine cutaneous mast cell tumors: Can human observers learn it?

Domain generalization across tumor types, laboratories, and species — Insights from the 2022 edition of the Mitosis Domain Generalization Challenge

Information Mismatch in PHH3-Assisted Mitosis Annotation Leads to Interpretation Shifts in H&E Slide Analysis

Morphologic examination of upper respiratory tract epithelium with special consideration of olfactory epithelium after SARS-CoV-2 infection

Information mismatch in PHH3-assisted mitosis annotation leads to interpretation shifts in H&E slide analysis

Author Correction: A comprehensive multi-domain dataset for mitotic figure detection

Author Correction: IFNγ binding to extracellular matrix prevents fatal systemic toxicity

Characterization of anthracycline-induced cardiotoxicity by diffusion tensor magnetic resonance imaging

Artificial intelligence can be trained to predict c-KIT-11 mutational status of canine mast cell tumors from hematoxylin and eosin-stained histological slides

Automated Nuclear Morphometry: A Deep Learning Approach for Prognostication in Canine Pulmonary Carcinoma to Enhance Reproducibility

Cross-species variability in lobular geometry and cytochrome P450 hepatic zonation : insights into CYP1A2, CYP2D6, CYP2E1 and CYP3A4

Cross-species variability in lobular geometry and cytochrome P450 hepatic zonation: insights into CYP1A2, CYP2D6, CYP2E1 and CYP3A4

Deep Learning model predicts the c-Kit-11 mutational status of canine cutaneous mast cell tumors by HE stained histological slides

Evaluating the histologic grade of digital squamous cell carcinomas in dogs and copy number variation of KIT Ligand — a correlation study

Immunohistochemical and molecular genetic analysis of canine digital mast cell tumours

Nuclear pleomorphism in canine cutaneous mast cell tumors: Comparison of reproducibility and prognostic relevance between estimates, manual morphometry, and algorithmic morphometry

On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images

Histological classification of canine and feline lymphoma using a modular approach based on deep learning and advanced image processing

Cross-species oncogenomics offers insight into human muscle-invasive bladder cancer

A comprehensive multi-domain dataset for mitotic figure detection

SFRP1 Expression is Inversely Associated With Metastasis Formation in Canine Mammary Tumours

IFNγ binding to extracellular matrix prevents fatal systemic toxicity

Automated diagnosis of 7 canine skin tumors using machine learning on H&E-stained whole slide images

Automated Volume Corrected Mitotic Index Calculation Through Annotation-Free Deep Learning using Immunohistochemistry as Reference Standard

Cytologic scoring of equine exercise-induced pulmonary hemorrhage: Performance of human experts and a deep learning-based algorithm

Domain generalization across tumor types, laboratories, and species – Insights from the 2022 edition of the Mitosis Domain Generalization Challenge

IFNγ binding to extracellular matrix prevents fatal systemic toxicity

Nuclear Morphometry using a Deep Learning-based Algorithm has Prognostic Relevance for Canine Cutaneous Mast Cell Tumors

Pan-tumor T-lymphocyte detection using deep neural networks: Recommendations for transfer learning in immunohistochemistry

Pan-tumor T-lymphocyte detection using deep neural networks: Recommendations for transfer learning in immunohistochemistry

Publisher Correction: IFNγ binding to extracellular matrix prevents fatal systemic toxicity

Periportal steatosis in mice affects distinct parameters of pericentral drug metabolism

Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset

Finerenone Reduces Renal RORγt γδ T Cells and Protects against Cardiorenal Damage

A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research

A large-scale dataset for mitotic figure assessment on whole slide images of canine cutaneous mast cell tumor

Computer-assisted mitotic count using a deep learning–based algorithm improves interobserver reproducibility and accuracy

Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region

Deep Learning-based quantification of pulmonary hemosiderophages in cytology slides

Field of Interest Proposal for Augmented Mitotic Cell Count : Comparison of Two Convolutional Networks

Inter-species cell detection - datasets on pulmonary hemosiderophages in equine, human and feline specimens

Investigations about the pathogenesis of Rift Valley fever virus encephalitis in mouse models

Myocardial Infarction After High-Dose Catecholamine Application—A Case Report From an Experimental Imaging Study

Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset

EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control

Liver X Receptor Agonist AZ876 Induces Beneficial Endogenous Cardiac Lipid Reprogramming and Protects Against Isoproterenol-Induced Cardiac Damage

A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research

Computerized Calculation of Mitotic Count Distribution in Canine Cutaneous Mast Cell Tumor Sections: Mitotic Count Is Area Dependent

Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region

Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides

Nachweis der BRAF-Mutation bei kaninen Prostataerkrankungen

Adipose tissue ATGL modifies the cardiac lipidome in pressure-overload-induced left ventricular failure

Veterinary Oncology : A Short Textbook

MicroRNA expression patterns in canine mammary cancer show significant differences between metastatic and non-metastatic tumours