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A fast monocular 6D pose estimation method for textureless objects based on perceptual hashing and template matching.
Front Robot AI
January 2025
Department of Materials and Production, Aalborg University, Aalborg, Denmark.
Object pose estimation is essential for computer vision applications such as quality inspection, robotic bin picking, and warehouse logistics. However, this task often requires expensive equipment such as 3D cameras or Lidar sensors, as well as significant computational resources. Many state-of-the-art methods for 6D pose estimation depend on deep neural networks, which are computationally demanding and require GPUs for real-time performance.
View Article and Find Full Text PDFAuthentic Versus Simulated Patient Videos: Effect on Mental Status Examination-An Educational Randomized Controlled Trial.
Acad Psychiatry
January 2025
Psychiatric Research Unit, Mental Health Service Region Zealand, Slagelse, Denmark.
Objective: This study evaluated the impact of adding authentic patient video training to a base e-module featuring simulated patient videos, aimed at improving the mental status examination (MSE) skills of fifth-year medical students during their psychiatric rotation.
Methods: A randomized controlled trial (RCT) was conducted with 290 students, assigned to either an experimental group, the full e-learning group (Full), or an active comparator group, the limited e-learning group (Limited). The Limited group received a base e-module on MSE, while the Full group received both the base e-module and an additional module with 23 authentic patient videos.
SIRE: Scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks.
Med Image Anal
January 2025
Department of Applied Mathematics, Technical Medical Centre, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands.
The orientation of a blood vessel as visualized in 3D medical images is an important descriptor of its geometry that can be used for centerline extraction and subsequent segmentation, labeling, and visualization. Blood vessels appear at multiple scales and levels of tortuosity, and determining the exact orientation of a vessel is a challenging problem. Recent works have used 3D convolutional neural networks (CNNs) for this purpose, but CNNs are sensitive to variations in vessel size and orientation.
View Article and Find Full Text PDFIncreasing access to pain care services to improve rural pain management: a realist review investigating factors affecting uptake, implementation, and sustainability.
Pain
January 2025
Innovation, Implementation and Clinical Translation (IIMPACT) in Health, University of South Australia Adelaide, SA, Australia.
Guideline-based care for chronic pain is challenging to deliver in rural settings. Evaluations of programs that increase access to pain care services in rural areas report variable outcomes. We conducted a realist review to gain a deep understanding of how and why such programs may, or may not, work.
View Article and Find Full Text PDFGait patterns in unstable older patients related with vestibular hypofunction. Preliminary results in assessment with time-frequency analysis.
Acta Otolaryngol
January 2025
Laboratory of Otoneurology British Hospital, Montevideo, Uruguay.
Background: Gait instability and falls significantly impact life quality and morbi-mortality in elderly populations. Early diagnosis of gait disorders is one of the most effective approaches to minimize severe injuries.
Objective: To find a gait instability pattern in older adults through an image representation of data collected by a single sensor.
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