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Displaying 1 through 4 of 4 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
Goldberg X, Castano-Vinyals G, Espinosa A, Carreras A, Liutsko L, Sicuri E, Foraster M, O'Callaghan-Gordo C, Dadvand P, Moncunill G, Dobano C, Cortes B, Pleguezuelos V, Straif K, Garcia-Aymerich J, de Cid R, Cardis E, Kogevinas M. Mental health and COVID-19 in a general population cohort in Spain (COVIVAT Study). Soc Psychiatry Psychiatr Epidemiol. 2022 Dec;57(12):2457-68. doi: 10.1007/s00127-022-02303-0