Selected publications related to our research and products:
Role of the kisspeptin-KISS1R axis in the pathogenesis of chronic kidney disease and uremic cardiomyopathy
Hoa Dinh et al., GeroScience (2024)
AI under the microscope: the algorithms powering the search for cells
Michael Eisenstein, Nature (2023)
AI-driven Deep Visual Proteomics defines cell identity and heterogeneity
Mund et al., Nature Biotechnology (2022)
Neuropilin-1 is a host factor for SARS-CoV-2 infection
Daly et al., Science (2020)
nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer
Hollandi et al., Cell Systems (2020)
CIDRE: an illumination-correction method for optical microscopy
Smith et al., Nature Methods (2015)
Other related publications:
A versatile transposon-based technology to generate loss- and gain-of-function phenotypes in the mouse liver
Kopasz et al., BMC Biology (2022)
Investigation of the Antiremodeling Effects of Losartan, Mirabegron and Their Combination on the Development of Doxorubicin-Induced Chronic Cardiotoxicity in a Rat Model
Freiwan et al., International Journal of Molecular Sciences (2022)
Exercise training worsens cardiac performance in males but does not change ejection fraction and improves hypertrophy in females in a mouse model of metabolic syndrome
Tóth et al., Biology of Sex Differences (2022)
Investigation of the Antihypertrophic and Antifibrotic Effects of Losartan in a Rat Model of Radiation-Induced Heart Disease
Kovacs et al., International Journal of Molecular Sciences (2021)
Comparison of the antiremodeling effects of losartan and mirabegron in a rat model of uremic cardiomyopathy
Kovacs et al., Scientific Reports (2021)
Environmental properties of cells improve machine learning-based phenotype recognition accuracy
Toth et al., Scientific Reports (2018)