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Higher order polynomial transformer for fine-grained freezing of gait detection
Freezing of Gait (FoG) is a common symptom of Parkinson's disease (PD), manifesting as a
brief, episodic absence, or marked reduction in walking, despite a patient's intention to …
brief, episodic absence, or marked reduction in walking, despite a patient's intention to …
Graph sequence recurrent neural network for vision-based freezing of gait detection
Freezing of gait (FoG) is one of the most common symptoms of Parkinson's disease (PD), a
neurodegenerative disorder which impacts millions of people around the world. Accurate …
neurodegenerative disorder which impacts millions of people around the world. Accurate …
Vision-based freezing of gait detection with anatomic directed graph representation
Parkinson's disease significantly impacts the life quality of millions of people around the
world. While freezing of gait (FoG) is one of the most common symptoms of the disease, it is …
world. While freezing of gait (FoG) is one of the most common symptoms of the disease, it is …
Graph fusion network-based multimodal learning for freezing of gait detection
Freezing of gait (FoG) is identified as a sudden and brief episode of movement cessation
despite the intention to continue walking. It is one of the most disabling symptoms of …
despite the intention to continue walking. It is one of the most disabling symptoms of …
Causality-enhanced multiple instance learning with graph convolutional networks for parkinsonian freezing-of-gait assessment
R Guo, Z **e, C Zhang, X Qian - IEEE Transactions on Image …, 2024 - ieeexplore.ieee.org
Freezing of gait (FoG) is a common disabling symptom of Parkinson's disease (PD). It is
clinically characterized by sudden and transient walking interruptions for specific human …
clinically characterized by sudden and transient walking interruptions for specific human …
Adversarial evolving neural network for longitudinal knee osteoarthritis prediction
Knee osteoarthritis (KOA) as a disabling joint disease has doubled in prevalence since the
mid-20th century. Early diagnosis for the longitudinal KOA grades has been increasingly …
mid-20th century. Early diagnosis for the longitudinal KOA grades has been increasingly …
[HTML][HTML] Federated Unsupervised Cluster-Contrastive learning for person Re-identification: A coarse-to-fine approach
Abstract Person Re-identification (ReID) has attracted considerable interests in recent years,
largely driven by the escalating demand for public safety measures. However, the …
largely driven by the escalating demand for public safety measures. However, the …
Bridging the gap: Sketch-aware interpolation network for high-quality animation sketch inbetweening
Hand-drawn 2D animation workflow is typically initiated with the creation of sketch
keyframes. Subsequent manual inbetweens are crafted for smoothness, which is a labor …
keyframes. Subsequent manual inbetweens are crafted for smoothness, which is a labor …
Sitransformer: Shared information-guided transformer for extreme multimodal summarization
Extreme Multimodal Summarization with Multimodal Output (XMSMO) becomes an attractive
summarization approach by integrating various types of information to create extremely …
summarization approach by integrating various types of information to create extremely …
Self-supervised multimodal fusion network for knee osteoarthritis severity grading
Knee osteoarthritis (OA) is a highly prevalent form of arthritis and a leading cause of physical
disability, given the growing aging population. To assist the knee OA assessment, there is a …
disability, given the growing aging population. To assist the knee OA assessment, there is a …