no code implementations • 22 Aug 2022 • Saeid Alavi Naeini, Leif Simmatis, Deniz Jafari, Diego L. Guarin, Yana Yunusova, Babak Taati
Computer vision techniques can help automate or partially automate clinical examination of orofacial impairments to provide accurate and objective assessments.
no code implementations • 18 Mar 2020 • Diego L. Guarin, Aidan Dempster, Andrea Bandini, Yana Yunusova, Babak Taati
We are developing an automated system for assessment of orofacial function in PD that can be used in-home or in-clinic and can provide useful and objective clinical information that informs disease management.
no code implementations • 25 Oct 2019 • Diego L. Guarin, Yana Yunusova, Babak Taati, Joseph R Dusseldorp, Suresh Mohan, Joana Tavares, Martinus M. van Veen, Emily Fortier, Tessa A. Hadlock, Nate Jowett
Objective: To develop an ML algorithm for accurate facial landmarks localization in photographs of facial palsy patients, and use it as part of an automated computer-aided diagnosis system.
no code implementations • WS 2019 • Alan Wisler, Kristin Teplansky, Jordan Green, Yana Yunusova, Thomas Campbell, Daragh Heitzman, Jun Wang
Experimental results demonstrated the AFSFRS-R bulbar subscore can be predicted from speech samples, which has clinical implication for automatic monitoring of the disease progression of ALS using speech information.