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Jha, A. and Menozzi, E. and Oyekan, R. and Latorre, A. and Mulroy, E. and Schreglmann, S.R. and Stamate, C. and Daskalopoulos, I. and Kueppers, S. and Luchini, M. and Rothwell, J.C. and Roussos, George and Bhatia, K.P. (2020) The CloudUPDRS smartphone software in Parkinson’s study: cross-validation against blinded human raters. npj Parkinson's Disease 6 (1), ISSN 2373-8057.

Stamate, C. and Magoulas, George D. and Kueppers, S. and Nomikou, E. and Daskalopoulos, I. and Jha, A. and Pons, J.S. and Rothwell, J. and Luchini, M.U. and Moussouri, T. and Iannone, M. and Roussos, George (2018) The cloudUPDRS app: a medical device for the clinical assessment of Parkinson's Disease. Pervasive and Mobile Computing 43 , pp. 146-166. ISSN 1574-1192.

Book Section

Fragopanagos, N. and Kueppers, S. and Kassavetis, P. and Luchini, M.U. and Roussos, George (2017) Towards longitudinal data analytics in Parkinson's Disease. In: Giokas, K. and Bokor, L. and Hopfg, F. (eds.) eHealth 360°: International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 181. Springer, pp. 56-61. ISBN 9783319496542.

Stamate, Cosmin and Magoulas, George D. and Kueppers, S. and Nomikou, E. and Daskalopoulos, I. and Luchini, M.U. and Moussouri, T. and Roussos, George (2017) Deep learning Parkinson's from smartphone data. In: UNSPECIFIED (ed.) 2017 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE Computer Society, pp. 31-40. ISBN 9781509043279.