Automated Quantification of the Resistance of Epithelial Cell Layers from an Impedance Spectrum «

V. Sophie Adama, Benjamin Schindler, Thomas Schmid
Using Time Domain and Pearson’s Correlation to Predict Attention Focus in Autistic Spectrum Disorder from EEG P300 Components | LINK
Proceedings of the XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019. IFMBE Proceedings Vol. 76. Springer, S. 1890-1893, 2019
T. Schmid
Automatisierte Analyse von Impedanzspektren mittels konstruktivistischen maschinellen Lernens | LINK
Dissertation, Leipzig, 2018
T. Schmid, D. Günzel, M. Bogdan
Automated Quantification of the Resistance of Epithelial Cell Layers from an Impedance Spectrum | LINK
Proceedings of the Tenth International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies, pp. 8-13, 2018
R. M. Fancy, L. Wang, T. Schmid, Q. Zeng, H. Wang, T. Zhou, D. J. Buchsbaum, Y. Song
Characterization of the Interactions between Calmodulin and Death Receptor 5 in Triple-negative and Estrogen Receptor-positive Breast Cancer Cells: An Integrated Experimental and Computational Study | LINK
The Journal of Biological Chemistry 291(24):12862-70, 2016
Thomas Schmid
Forschungsorientierte Reflexion von Primärliteratur für Master-Studierende der Informatik und Bioinformatik | LINK
HDS.Journal – Werkstattberichte : Lehr-Lern-Projekte, 2015/2, S. 46-52
T. Schmid, D. Günzel, M. Bogdan
Automated Quantification of the Capacitance of Epithelial Cell Layers from an Impedance Spectrum | LINK
Proceedings of the Seventh International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies, pp. 27-32, 2015
Thomas Schmid
Macht „Big Data“ synthetische Datensätze überflüssig? | LINK
Lecture Notes in Informatics S-13, S. 61-64, 2014
T. Schmid, D. Günzel, M. Bogdan
Automated Quantification of the Relation between Resistor-Capacitor Subcircuits from an Impedance Spectrum | LINK
Proceedings of the International Conference on Bio-inspired Systems and Signal Processing, pp. 141-148, 2014
T. Schmid, M. Bogdan, D. Günzel
Discerning Apical and Basolateral Properties of HT-29/B6 and IPEC-J2 Cell Layers by Impedance Spectroscopy, Mathematical Modeling and Machine Learning | LINK
PLoS ONE 8(7): e62913, 2013
Thomas Schmid
Wie man zwischen den Zahlen liest. Data-Mining und computergestützte Vorhersagen am Beispiel Bioinformatik | LINK
Arbeitstitel – Forum für Leipziger Promovierende 5(1), S. 13-29, 2013
T. Schmid, D. Günzel, M. Bogdan
Efficient prediction of x-axis intercepts of discrete impedance spectra | LINK
Proceedings of the 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), p. 185-190, 2013
Dorothee Günzel, Silke S. Zakrzewski, Thomas Schmid, Maria Pangalos, John Wiedenhoeft, Corinna Blasse, Christopher Ozboda, Susanne M. Krug
From TER to trans- and paracellular resistance: lessons from impedance spectroscopy | LINK
Annals of the New York Academy of Sciences 1257, S. 142-151, 2012
T. Schmid, D. Günzel, M. Bogdan
Using an artificial neural network to determine electrical properties of epithelia
ICANN, Thessaloniki, LNCS vol. 6352, pp. 211-216, 2010