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Displaying 1 through 13 of 13 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
Herman WH, Hoerger TJ, Hicks K, Brandle M, Sorensen SW, Zhang P, Engelgau MM, Hamman RF, Marrero DG, Ackermann DT, Ratner RE. Managing people at high risk for diabetes. Ann Intern Med. 2006 Jan 3;144(1):66-7.