AIMC Topic: Motion

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Intra-frame motion deterioration effects and deep-learning-based compensation in MR-guided radiotherapy.

Medical physics
BACKGROUND: Current commercially available hybrid magnetic resonance linear accelerators (MR-Linac) use 2D+t cine MR imaging to provide intra-fractional motion monitoring. However, given the limited temporal resolution of cine MR imaging, target intr...

A Robot-Assisted Framework for Rehabilitation Practices: Implementation and Experimental Results.

Sensors (Basel, Switzerland)
One of the most interesting characteristics of collaborative robots is their ability to be used in close cooperation scenarios. In industry, this facilitates the implementation of human-in-loop workflows. However, this feature can also be exploited i...

Thermo-Pneumatic Artificial Muscle: Air-Based Thermo-Pneumatic Artificial Muscles for Pumpless Pneumatic Actuation.

Soft robotics
To make robots more human-like and safer to use around humans, artificial muscles exhibiting compliance have gained significant attention from researchers. However, despite having excellent performance, pneumatic artificial muscles (PAMs) have failed...

Real-Time Motion Analysis With 4D Deep Learning for Ultrasound-Guided Radiotherapy.

IEEE transactions on bio-medical engineering
Motion compensation in radiation therapy is a challenging scenario that requires estimating and forecasting motion of tissue structures to deliver the target dose. Ultrasound offers direct imaging of tissue in real-time and is considered for image gu...

PEPNet: A barotropic primitive equations-based network for wind speed prediction.

Neural networks : the official journal of the International Neural Network Society
In wind speed prediction technologies, deep learning-based methods have achieved promising advantages. However, most existing methods focus on learning implicit knowledge in a data-driven manner but neglect some explicit knowledge from the physical t...

Micro-/nanoscale robotics for chemical and biological sensing.

Lab on a chip
The field of micro-/nanorobotics has attracted extensive interest from a variety of research communities and witnessed enormous progress in a broad array of applications ranging from basic research to global healthcare and to environmental remediatio...

Deep learning reconstruction for brain diffusion-weighted imaging: efficacy for image quality improvement, apparent diffusion coefficient assessment, and intravoxel incoherent motion evaluation in and studies.

Diagnostic and interventional radiology (Ankara, Turkey)
PURPOSE: Deep learning reconstruction (DLR) to improve imaging quality has already been introduced, but no studies have evaluated the effect of DLR on diffusion-weighted imaging (DWI) or intravoxel incoherent motion (IVIM) in or studies. The purpos...

Multi-Camera-Based Human Activity Recognition for Human-Robot Collaboration in Construction.

Sensors (Basel, Switzerland)
As the use of construction robots continues to increase, ensuring safety and productivity while working alongside human workers becomes crucial. To prevent collisions, robots must recognize human behavior in close proximity. However, single, or RGB-d...

Patient specific prior cross attention for kV decomposition in paraspinal motion tracking.

Medical physics
BACKGROUND: X-ray image quality is critical for accurate intrafraction motion tracking in radiation therapy.

Hierarchical Bias Mitigation for Semi-Supervised Medical Image Classification.

IEEE transactions on medical imaging
Semi-supervised learning (SSL) has demonstrated remarkable advances on medical image classification, by harvesting beneficial knowledge from abundant unlabeled samples. The pseudo labeling dominates current SSL approaches, however, it suffers from in...