Search research articles
Contact Us
Filters
Showing results (1-10 of 6) with videos related to
Page
of 1
Sort By:
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
December 4, 2016
Introducing a Stable Bootstrap Validation Framework for Reliable Genomic Signature Extraction
Nikolaos-Kosmas Chlis, Ekaterini S Bei, Michalis Zervakis
Nucleic Acids Research
|
October 29, 2020
Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning
Nikolaos-Kosmas Chlis, Lisa Rausch, Thomas Brocker, et al.
Photoacoustics
|
November 16, 2020
A sparse deep learning approach for automatic segmentation of human vasculature in multispectral optoacoustic tomography
Nikolaos-Kosmas Chlis, Angelos Karlas, Nikolina-Alexia Fasoula, et al.
Nature Communications
|
November 30, 2023
Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies
Sayedali Shetab Boushehri, Katharina Essig, Nikolaos-Kosmas Chlis, et al.
Journal of Extracellular Vesicles
|
September 18, 2020
<i>In vivo</i> identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning
Jan Kranich, Nikolaos-Kosmas Chlis, Lisa Rausch, et al.
Nature Biomedical Engineering
|
December 4, 2023
Dermal features derived from optoacoustic tomograms via machine learning correlate microangiopathy phenotypes with diabetes stage
Angelos Karlas, Nikoletta Katsouli, Nikolina-Alexia Fasoula, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 6) with videos related to
Sort By:
Page
of 1
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
December 4, 2016
Introducing a Stable Bootstrap Validation Framework for Reliable Genomic Signature Extraction
Nikolaos-Kosmas Chlis, Ekaterini S Bei, Michalis Zervakis
Nucleic Acids Research
|
October 29, 2020
Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning
Nikolaos-Kosmas Chlis, Lisa Rausch, Thomas Brocker, et al.
Photoacoustics
|
November 16, 2020
A sparse deep learning approach for automatic segmentation of human vasculature in multispectral optoacoustic tomography
Nikolaos-Kosmas Chlis, Angelos Karlas, Nikolina-Alexia Fasoula, et al.
Nature Communications
|
November 30, 2023
Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies
Sayedali Shetab Boushehri, Katharina Essig, Nikolaos-Kosmas Chlis, et al.
Journal of Extracellular Vesicles
|
September 18, 2020
<i>In vivo</i> identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning
Jan Kranich, Nikolaos-Kosmas Chlis, Lisa Rausch, et al.
Nature Biomedical Engineering
|
December 4, 2023
Dermal features derived from optoacoustic tomograms via machine learning correlate microangiopathy phenotypes with diabetes stage
Angelos Karlas, Nikoletta Katsouli, Nikolina-Alexia Fasoula, et al.
Page
of 1