Article

Stephenson, D. and Alexander, R. and Aggarwal, V. and Badawy, R. and Bain, L. and Bhatnagar, R. and Bloem, B.R. and Boroojerdi, B. and Burton, J. and Cedarbaum, J.M. and Cosman, J. and Dexter, D.T. and Dockendorf, M. and Dorsey, E.R. and Dowling, A.V. and Evers, L.J.W. and Fisher, K. and Frasier, M. and Garcia-Gancedo, L. and Goldsack, J.C. and Hill, D. and Hitchcock, J. and Hu, M.T. and Lawton, M.P. and Lee, S.J. and Lindemann, M. and Marek, K. and Mehrotra, N. and Meinders, M.J. and Minchik, M. and Oliva, L. and Romero, K. and Roussos, George and Rubens, R. and Sadar, S. and Scheeren, J. and Sengoku, E. and Simuni, T. and Stebbins, G. and Taylor, K.I. and Yang, B. and Zach, N. (2020) Precompetitive consensus building to facilitate the use of digital health technologies to support Parkinson Disease drug development through regulatory science. Digital Biomarkers 4 (S1), pp. 28-49. ISSN 2504-110X.

Book Section

Herzog, Nitsa J. and Magoulas, George D. (2022) Machine learning-supported MRI analysis of brain asymmetry for early diagnosis of dementia. In: Hassanien, A.E. and Bhatnagar, R. and Snášel, V. and Yasin Shams, M. (eds.) Medical Informatics and Bioimaging Using Artificial Intelligence. Studies in Computational Intelligence 1005. Springer, pp. 29-52. ISBN 9783030911034.