Nikolaos-Kosmas Chlis

发表

In vivo identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning

Fabian J Theis, M. Simons, J. Kranich, 2020, bioRxiv.

Model-based branching point detection in single-cell data by K-branches clustering

Fabian J Theis, F. A. Wolf, Nikolaos-Kosmas Chlis, 2016, bioRxiv.

In vivo identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning

Fabian J Theis, M. Simons, J. Kranich, 2020, bioRxiv.

Searching for Significant Genes in Cancer Metastasis by Tissue Comparisons

Ekaterini S. Bei, Michalis Zervakis, Stelios Sfakianakis, 2015 .

Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning

Fabian J Theis, J. Kranich, Nikolaos-Kosmas Chlis, 2020, Nucleic acids research.

scifAI: Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies

C. Marr, M. Bacac, K. Essig, 2022, bioRxiv.

A generic framework for the elicitation of stable and reliable gene expression signatures

Michalis E. Zervakis, Ekaterini S. Bei, Stelios Sfakianakis, 2013, 13th IEEE International Conference on BioInformatics and BioEngineering.

Introducing a Stable Bootstrap Validation Framework for Reliable Genomic Signature Extraction

Ekaterini S. Bei, Michalis Zervakis, Nikolaos-Kosmas Chlis, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A sparse deep learning approach for automatic segmentation of human vasculature in multispectral optoacoustic tomography

Vasilis Ntziachristos, Fabian J. Theis, Carsten Marr, 2019, bioRxiv.

Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies

Sayedali Shetab Boushehri, C. Marr, M. Bacac, 2023, bioRxiv.

Extracting reliable gene expression signatures through Stable Bootstrap Validation

Michalis E. Zervakis, Ekaterini S. Bei, Konstantia Moirogiorgou, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

scifAI: Explainable machine learning for pro�ling the immunological synapse and functional characterization of therapeutic antibodies

Sayedali Shetab Boushehri, M. Bacac, F. Schmich, 2022 .

Dermal features derived from optoacoustic tomograms via machine learning correlate microangiopathy phenotypes with diabetes stage

V. Ntziachristos, A. Karlas, M. Kallmayer, 2023, Nature biomedical engineering.

Model-based branching point detection in single-cell data by K-branches clustering

Fabian J. Theis, Fabian J Theis, Nikolaos-Kosmas Chlis, 2016, bioRxiv.