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Displaying 1 through 15 of 15 publications.
Romijnders R, Salis F, Hansen C, Kuderle A, Paraschiv-Ionescu A, Cereatti A, Alcock L, Aminian K, Becker C, Bertuletti S, Bonci T, Brown P, Buckley E, Cantu A, Carsin AE, Caruso M, Caulfield B, Chiari L, D'Ascanio I, Del Din S, Eskofier B, Fernstad SJ, Frohlich MS, Garcia Aymerich J, Gazit E, Hausdorff JM, Hiden H, Hume E, Keogh A, Kirk C, Kluge F, Koch S, Mazza C, Megaritis D, Mico-Amigo E, Muller A, Palmerini L, Rochester L, Schwickert L, Scott K, Sharrack B, Singleton D, Soltani A, Ullrich M, Vereijken B, Vogiatzis I, Yarnall A, Schmidt G, Maetzler W. Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases. Front Nuerol. 2023 Oct 16;14:1247532. doi: 10.3389/fneur.2023.1247532
MacKinnon-Tucker D, Williams VS, Green M, Witherspoon D, Al'Uqdah S, Dixon-Roman E, Windle M. Drinking motives of African American college students. Poster presented at the Scientific Meeting of The Research Society on Alcoholism; June 2002. [abstract] Alcohol Clin Exp Res. 2002 Jun; 26(5):76A.