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Motion

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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...

Respiratory signal estimation for cardiac perfusion SPECT using deep learning.

Medical physics
BACKGROUND: Respiratory motion induces artifacts in reconstructed cardiac perfusion SPECT images. Correction for respiratory motion often relies on a respiratory signal describing the heart displacements during breathing. However, using external trac...

Coherent movement of error-prone individuals through mechanical coupling.

Nature communications
We investigate how reliable movement can emerge in aggregates of highly error-prone individuals. The individuals-robotic modules-move stochastically using vibration motors. By coupling them via elastic links, soft-bodied aggregates can be created. We...

Human activity recognition in an end-of-life consumer electronics disassembly task.

Applied ergonomics
The production of electronic waste, also known as e-waste, has risen with the growing reliance on electronic products. To reduce negative environmental impact and achieve sustainable industrial processes, recovering and reusing products is crucial. A...