Graph-based deep learning for medical diagnosis and analysis: past, present and future

D Ahmedt-Aristizabal, MA Armin, S Denman, C Fookes… - Sensors, 2021 - mdpi.com
With the advances of data-driven machine learning research, a wide variety of prediction
problems have been tackled. It has become critical to explore how machine learning and …

Graph neural networks in IoT: A survey

G Dong, M Tang, Z Wang, J Gao, S Guo, L Cai… - ACM Transactions on …, 2023 - dl.acm.org
The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …

Computer vision quantification of whole-body Parkinsonian bradykinesia using a large multi-site population

G Morinan, Y Dushin, G Sarapata… - npj Parkinson's …, 2023 - nature.com
Parkinson's disease (PD) is a common neurological disorder, with bradykinesia being one of
its cardinal features. Objective quantification of bradykinesia using computer vision has the …

MS²-GNN: Exploring GNN-Based Multimodal Fusion Network for Depression Detection

T Chen, R Hong, Y Guo, S Hao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Major depressive disorder (MDD) is one of the most common and severe mental illnesses,
posing a huge burden on society and families. Recently, some multimodal methods have …

Vision-based estimation of MDS-UPDRS scores for quantifying Parkinson's disease tremor severity

W Liu, X Lin, X Chen, Q Wang, X Wang, B Yang… - Medical Image …, 2023 - Elsevier
Parkinson's disease (PD) is a common neurodegenerative movement disorder among older
individuals. As one of the typical symptoms of PD, tremor is a critical reference in the PD …

Estimating parkinsonism severity in natural gait videos of older adults with dementia

A Sabo, S Mehdizadeh, A Iaboni… - IEEE journal of …, 2022 - ieeexplore.ieee.org
Drug-induced parkinsonism affects many older adults with dementia, often causing gait
disturbances. New advances in vision-based human pose-estimation have opened …

Accuracy of temporo-spatial and lower limb joint kinematics parameters using OpenPose for various gait patterns with orthosis

M Yamamoto, K Shimatani… - … on Neural Systems …, 2021 - ieeexplore.ieee.org
A cost-effective gait analysis system without attachments and specialized large
environments can provide useful information to determine effective treatment in clinical sites …

A tree-structure-guided graph convolutional network with contrastive learning for the assessment of parkinsonian hand movements

R Guo, H Li, C Zhang, X Qian - Medical Image Analysis, 2022 - Elsevier
Bradykinesia is one of the core motor symptoms of Parkinson's disease (PD). Neurologists
typically perform face-to-face bradykinesia assessment in PD patients according to the …

Verification of gait analysis method fusing camera-based pose estimation and an IMU sensor in various gait conditions

M Yamamoto, K Shimatani, Y Ishige, H Takemura - Scientific reports, 2022 - nature.com
A markerless gait analysis system can measure useful gait metrics to determine effective
clinical treatment. Although this gait analysis system does not require a large space, several …

Automatic labeling of Parkinson's Disease gait videos with weak supervision

M Gholami, R Ward, R Mahal, M Mirian, K Yen… - Medical Image …, 2023 - Elsevier
Motor dysfunction in Parkinson's Disease (PD) patients is typically assessed by clinicians
employing the Movement Disorder Society's Unified Parkinson's Disease Rating Scale …