| A Sparse Deep Learning Approach for Automatic Segmentation of Human Vasculature in Multispectral Optoacoustic Tomography NK Chlis, A Karlas, NA Fasoula, M Kallmayer, HH Eckstein, FJ Theis, ... bioRxiv, 833251, 2019 | 35 | 2019 |
| In vivo identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning J Kranich, NK Chlis, L Rausch, A Latha, M Schifferer, T Kurz, ... Journal of extracellular vesicles 9 (1), 1792683, 2020 | 21 | 2020 |
| Introducing a stable bootstrap validation framework for reliable genomic signature extraction NK Chlis, ES Bei, M Zervakis IEEE/ACM Transactions on Computational Biology and Bioinformatics 15 (1 …, 2016 | 21 | 2016 |
| Model-based branching point detection in single-cell data by K-branches clustering NK Chlis, FA Wolf, FJ Theis Bioinformatics 33 (20), 3211-3219, 2017 | 18 | 2017 |
| Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning NK Chlis, L Rausch, T Brocker, J Kranich, FJ Theis Nucleic Acids Research 48 (20), 11335-11346, 2020 | 14 | 2020 |
| Comparison of statistical methods for genomic signature extraction NK Chlis Tech. Univ. Crete, Chania, Greece, Tech. Rep, 2013 | 6 | 2013 |
| A generic framework for the elicitation of stable and reliable gene expression signatures NK Chlis, S Sfakianakis, ES Bei, M Zervakis 13th IEEE International Conference on BioInformatics and BioEngineering, 1-6, 2013 | 5 | 2013 |
| Dermal features derived from optoacoustic tomograms via machine learning correlate microangiopathy phenotypes with diabetes stage A Karlas, N Katsouli, NA Fasoula, M Bariotakis, NK Chlis, M Omar, H He, ... Nature Biomedical Engineering 7 (12), 1667-1682, 2023 | 4 | 2023 |
| Machine Learning Methods for Genomic Signature Extraction N Chlis Technical University of Crete, School of Electronic and Computer Engineering …, 2015 | 3 | 2015 |
| Searching For Significant Genes In Cancer Metastasis By Tissue Comparisons NK Chlis, S Sfakianakis, ES Bei, D Iliopoulou, D Kafetzopoulos, ... 6th European Conference of the International Federation for Medical and …, 2015 | 3 | 2015 |
| Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies S Shetab Boushehri, K Essig, NK Chlis, S Herter, M Bacac, FJ Theis, ... Nature Communications 14 (1), 7888, 2023 | 2 | 2023 |
| Extracting reliable gene expression signatures through stable bootstrap validation NK Chlis, ES Bei, K Moirogiorgou, M Zervakis 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 2 | 2015 |
| scifAI: Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies SS Boushehri, K Essig, NK Chlis, S Herter, M Bacac, FJ Theis, ... bioRxiv, 2022.10. 24.513494, 2022 | 1 | 2022 |
| From RNA-sequencing to imaging flow cytometry: Profiling large single-cell datasets with machine learning NK Chlis Technische Universität München, 2020 | | 2020 |
| Analysis of EV-decorated CD8+ T cells during viral infection L Rausch, J Kranich, NK Chlis, M Schifferer, M Simons, F Theis, T Brocker EUROPEAN JOURNAL OF IMMUNOLOGY 49, 88-88, 2019 | | 2019 |
| Activated CD8+ T cells extensively bind extracellular vesicles during acute viral infections J Kranich, NK Chlis, L Rausch, A Latha, M Schifferer, T Kurz, A Kia, ... EUROPEAN JOURNAL OF IMMUNOLOGY 49, 43-43, 2019 | | 2019 |
| Supplementary Materials for Model-based branching point detection in single-cell data by K-Branches clustering NK Chlis, FA Wolf, FJ Theis | | |
Fabian J TheisHelmholtz Munich, Technical University of MunichVerified email at helmholtz-muenchen.de
