Graph-based deep learning for medical diagnosis and analysis: past, present and future
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 …
problems have been tackled. It has become critical to explore how machine learning and …
[HTML][HTML] Automatic two-dimensional & three-dimensional video analysis with deep learning for movement disorders: A systematic review
The advent of computer vision technology and increased usage of video cameras in clinical
settings have facilitated advancements in movement disorder analysis. This review …
settings have facilitated advancements in movement disorder analysis. This review …
Causality-driven graph neural network for early diagnosis of pancreatic cancer in non-contrast computerized tomography
X Li, R Guo, J Lu, T Chen, X Qian - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Pancreatic cancer is the emperor of all cancer maladies, mainly because there are no
characteristic symptoms in the early stages, resulting in the absence of effective screening …
characteristic symptoms in the early stages, resulting in the absence of effective screening …
[HTML][HTML] WiFOG: Integrating deep learning and hybrid feature selection for accurate freezing of gait detection
This study investigates the feasibility of utilizing non-invasive WiFi sensing using the 4.8
GHz operating frequency band of the 5 G spectrum, which is suitable for Internet of Things …
GHz operating frequency band of the 5 G spectrum, which is suitable for Internet of Things …
A tree-structure-guided graph convolutional network with contrastive learning for the assessment of parkinsonian hand movements
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 …
typically perform face-to-face bradykinesia assessment in PD patients according to the …
Automatic labeling of Parkinson's Disease gait videos with weak supervision
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 …
employing the Movement Disorder Society's Unified Parkinson's Disease Rating Scale …
Video-based quantification of gait impairments in Parkinson's disease using skeleton-silhouette fusion convolution network
Gait impairments are among the most common hallmarks of Parkinson's disease (PD),
usually appearing in the early stage and becoming a major cause of disability with disease …
usually appearing in the early stage and becoming a major cause of disability with disease …
An fNIRS-based dynamic functional connectivity analysis method to signify functional neurodegeneration of Parkinson's disease
J Lu, X Zhang, Y Wang, Y Cheng, Z Shu… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Parkinson's disease (PD) is a prevalent brain disorder, and PD diagnosis is crucial for
treatment. Existing methods for PD diagnosis are mainly focused on behavior analysis, while …
treatment. Existing methods for PD diagnosis are mainly focused on behavior analysis, while …
A causal counterfactual graph neural network for arising-from-chair abnormality detection in parkinsonians
The arising-from-chair task assessment is a key aspect of the evaluation of movement
disorders in Parkinson's disease (PD). However, common scale-based clinical assessment …
disorders in Parkinson's disease (PD). However, common scale-based clinical assessment …
Cross-Spatiotemporal Graph Convolution Networks for Skeleton-Based Parkinsonian Gait MDS-UPDRS Score Estimation
H Tian, H Li, W Jiang, X Ma, X Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Gait impairment in Parkinson's Disease (PD) is quantitatively assessed using the Movement
Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS), a well …
Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS), a well …