8 citations · 8 across the 2 of their papers we have counts for
6 papers
Estimation of Orofacial Kinematics in Parkinson's Disease: Comparison of 2D and 3D Markerless Systems for Motion Tracking
Diego L. Guarin, Aidan Dempster, Andrea Bandini +2
Orofacial deficits are common in people with Parkinson's disease (PD) and their evolution might represent an important biomarker of disease progression. We are developing an automa…
Toward an Automatic System for Computer-Aided Assessment in Facial Palsy
Diego L. Guarin, Yana Yunusova, Babak Taati +7
Importance: Machine learning (ML) approaches to facial landmark localization carry great clinical potential for quantitative assessment of facial function as they enable high-throu…
Limitations and Biases in Facial Landmark Detection -- An Empirical Study on Older Adults with Dementia
Azin Asgarian, Shun Zhao, Ahmed B. Ashraf +5
Accurate facial expression analysis is an essential step in various clinical applications that involve physical and mental health assessments of older adults (e.g. diagnosis of pai…
Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies
Ahmed Ashraf, Shehroz Khan, Nikhil Bhagwat +2
Medical imaging machine learning algorithms are usually evaluated on a single dataset. Although training and testing are performed on different subsets of the dataset, models built…
A Hybrid Instance-based Transfer Learning Method
Azin Asgarian, Parinaz Sobhani, Ji Chao Zhang +4
In recent years, supervised machine learning models have demonstrated tremendous success in a variety of application domains. Despite the promising results, these successful models…
Subspace Selection to Suppress Confounding Source Domain Information in AAM Transfer Learning
Azin Asgarian, Ahmed Bilal Ashraf, David Fleet +1
Active appearance models (AAMs) are a class of generative models that have seen tremendous success in face analysis. However, model learning depends on the availability of detailed…