Automatic medical diagnosis is an emerging center of interest in computer vision as it
provides unobtrusive objective information on a patient's condition. The face, as a mirror of …

Assessing facial nerve function from visible facial signs such as resting asymmetry and
symmetry of voluntary movement is an important means in clinical practice. By using image …

In this article, we propose a parallel hierarchy convolutional neural network (PHCNN)
combining a Long Short-Term Memory (LSTM) network structure to quantitatively assess the …

Facial action units (AUs) represent the fundamental activities of a group of muscles,
exhibiting subtle changes that are useful for various face analysis tasks. One practical …

The incapability to move the facial muscles is known as facial palsy, and it affects various
abilities of the patient, for example, performing facial expressions. Recently, automatic …

Treatment of facial palsy is essential because neglecting this disorder can lead to serious
sequelae and further damage. For an objective evaluation and consistent rehabilitation …

Background Facial paralysis (FP) is a neuromotor dysfunction that losses voluntary muscles
movement in one side of the human face. As the face is the basic means of social …

Facial landmark detection is a crucial step for the task of computer-aided facial palsy
diagnosis, which enables to focus on the affected facial regions for learning asymmetry …

Background: For the classification of facial paresis, various systems of description and
evaluation in the form of clinician-graded or software-based scoring systems are available …

Facial palsy (FP) is a neurological disorder that affects the facial nerve, specifically the
seventh nerve, resulting in the patient losing control of the facial muscles on one side of the …