Latest AI and machine learning research in pain management for healthcare professionals.
Despite the span in estimating pain from facial expressions, limited works have focused on estimating the sequence-level pain, which is reported by patients and used commonly in clinics. In this paper, we introduce a novel Statistical Relation Network, referred to as PainNet, designed for the estimation of the sequence-level pain. PainNet employs two key modules, the embedding and the relation m...
Beamforming is a key technology in millimeter-wave (mmWave) communications that improves signal transmission by optimizing directionality and intensity. However, conventional channel estimation methods, such as pilot signals or beam sweeping, often fail to adapt to rapidly changing communication environments. To address this limitation, multimodal sensing-aided beam prediction has gained signifi...
Complex systems with intricate causal dependencies challenge accurate prediction. Effective modeling requires precise physical process representatio...
Physical rehabilitation exercises suggested by healthcare professionals can help recovery from various musculoskeletal disorders and prevent re-inju...
The opioid overdose epidemic remains a critical public health crisis, particularly in the United States, leading to significant mortality and societ...
Training vision-language models (VLMs) typically requires large-scale, high-quality image-text pairs, but collecting or synthesizing such data is co...
We investigate a critical yet under-explored question in Large Vision-Language Models (LVLMs): Do LVLMs genuinely comprehend interleaved image-text ...
Migraine literacy among the public is known to be low, and this lack of understanding has a negative impact on migraineurs' quality of life. To unde...
Background: Intracranial bleeding (IB) is a life-threatening condition caused by traumatic brain injuries, including epidural, subdural, subarachnoi...
3D ultrasound delivers high-resolution, real-time images of soft tissues, which is essential for pain research. However, manually distinguishing var...
Available studies on chronic lower back pain (cLBP) typically focus on one or a few specific tissues rather than conducting a comprehensive layer-by...
Mamba, with its selective State Space Models (SSMs), offers a more computationally efficient solution than Transformers for long-range dependency mo...
Transformers bring significantly improved performance to the light field image super-resolution task due to their long-range dependency modeling cap...
Modeling cardiovascular anatomies poses a significant challenge due to their complex, irregular structures and inherent pathological conditions. Num...
Many high-impact machine learning tasks involve multi-dimensional data (e.g., images, volumetric medical scans, multivariate time-series). Yet, most...
Ensuring the safety and well-being of elderly and vulnerable populations in assisted living environments is a critical concern. Computer vision pres...
Accurate body dimension and weight measurements are critical for optimizing poultry management, health assessment, and economic efficiency. This stu...
Diffusion models currently demonstrate impressive performance over various generative tasks. Recent work on image diffusion highlights the strong ca...