• Application of artificial neural networks to model the interaction between T-cells and B-cells and their equivalent impedance of the linearized modelGiannoukos, Georgios; Min, MartJournal of computational methods in sciences and engineering2015 / p. 295-302 https://doi.org/10.3233/JCM-150544 https://www.scopus.com/sourceid/14500154739 https://www.scopus.com/record/display.uri?eid=2-s2.0-84931826871&origin=inward&txGid=1b3df5d83f8aafc63260711a483c50fd
• Derivation of Bioimpedance Model Data Utilizing a Compact Analyzer and Two Capacitive Electrodes : A Forearm ExampleOjarand, Jaan; Priidel, Eiko; Min, MartIEEE Transactions on Biomedical Circuits and Systems2022 / p. 891-901 https://doi.org/10.1109/TBCAS.2022.3206666 https://www.scopus.com/sourceid/5700191219 https://www.scopus.com/record/display.uri?eid=2-s2.0-85139429384&origin=inward&txGid=490e0d912c15f13c6adea4ac4e031fb4 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20T%20BIOMED%20CIRC%20S&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000928191200019
• Using neural networks to model self-immune disease in terms of the alterations of the dynamic electrical impedanceGiannoukos, Georgios; Min, MartProceedings of the International Conference on Numerical Analysis and Applied Mathematics 2014 (ICNAAM-2014) : Rhodes, Greece, 22-28 September 20142015 / p. 850001-1 - 850001-4 https://doi.org/10.1063/1.4913056 https://www.scopus.com/sourceid/26916 https://www.scopus.com/record/display.uri?eid=2-s2.0-84939649537&origin=inward&txGid=ef15b6db2d1a1da39b4c2a29645dd1db https://www.webofscience.com/wos/woscc/full-record/WOS:000355339705053