Three-dimensional scanners for soft-tissue facial assessment in clinical practice

G Petrides, JAR Clark, H Low, N Lovell… - Journal of Plastic …, 2021 - Elsevier
Introduction The quantitative assessment of facial appearance and function is critical in the
process of restoring normality and thus minimising morbidity in patients with facial …

A survey on computer vision for assistive medical diagnosis from faces

J Thevenot, MB López, A Hadid - IEEE journal of biomedical …, 2017 - ieeexplore.ieee.org
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 …

Artificial intelligence-based facial palsy evaluation: a survey

Y Zhang, W Gao, H Yu, J Dong… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Facial palsy evaluation (FPE) aims to assess facial palsy severity of patients, which plays a
vital role in facial functional treatment and rehabilitation. The traditional manners of FPE are …

Facial paralysis detection on images using key point analysis

GS Parra-Dominguez, RE Sanchez-Yanez… - Applied Sciences, 2021 - mdpi.com
The inability to move the muscles of the face on one or both sides is known as facial
paralysis, which may affect the ability of the patient to speak, blink, swallow saliva, eat, or …

Region based parallel hierarchy convolutional neural network for automatic facial nerve paralysis evaluation

X Liu, Y **a, H Yu, J Dong, M Jian… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …

ALGRNet: Multi-relational adaptive facial action unit modelling for face representation and relevant recognitions

X Ge, JM Jose, P Wang, A Iyer, X Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

3DPalsyNet: A facial palsy grading and motion recognition framework using fully 3D convolutional neural networks

G Storey, R Jiang, S Keogh, A Bouridane, CT Li - IEEE access, 2019 - ieeexplore.ieee.org
The capability to perform facial analysis from video sequences has significant potential to
positively impact in many areas of life. One such area relates to the medical domain to …

Automatic facial palsy diagnosis as a classification problem using regional information extracted from a photograph

GS Parra-Dominguez, CH Garcia-Capulin… - Diagnostics, 2022 - mdpi.com
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 …

DeepStroke: An efficient stroke screening framework for emergency rooms with multimodal adversarial deep learning

T Cai, H Ni, M Yu, X Huang, K Wong, J Volpi… - Medical image …, 2022 - Elsevier
In an emergency room (ER) setting, stroke triage or screening is a common challenge. A
quick CT is usually done instead of MRI due to MRI's slow throughput and high cost. Clinical …

Measuring student engagement level using facial information

I Alkabbany, A Ali, A Farag, I Bennett… - … on Image Processing …, 2019 - ieeexplore.ieee.org
In this paper, we propose a novel framework that measures the engagement level of
students either in a class environment or in an e-learning environment. The proposed …