AIMC Topic: Neural Networks, Computer

Clear Filters Showing 7821 to 7830 of 31376 articles

Large-Scale Bio-Inspired FPGA Models for Path Planning.

IEEE transactions on biomedical circuits and systems
The hippocampus provides significant inspiration for spatial navigation and memory in both humans and animals. Constructing large-scale spiking neural network (SNN) models based on the biological neural systems is an important approach to comprehend ...

Scalable Multi-Hierarchy Embedded Platform for Neural Population Simulations.

IEEE transactions on biomedical circuits and systems
Brain-inspired structured neural circuits are the cornerstones of both computational and perceived intelligence. Real-time simulations of large-scale high-dimensional neural populations with complex nonlinearities pose a significant challenge. Taking...

Inverse radon transform with deep learning: an application in cardiac motion correction.

Physics in medicine and biology
. This paper addresses performing inverse radon transform (IRT) with artificial neural network (ANN) or deep learning, simultaneously with cardiac motion correction (MC). The suggested application domain is cardiac image reconstruction in emission or...

Validated respiratory drug deposition predictions from 2D and 3D medical images with statistical shape models and convolutional neural networks.

PloS one
For the one billion sufferers of respiratory disease, managing their disease with inhalers crucially influences their quality of life. Generic treatment plans could be improved with the aid of computational models that account for patient-specific fe...

Convolutional neural network-based measurement of crown-implant ratio for implant-supported prostheses.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: Research has revealed that the crown-implant ratio (CIR) is a critical variable influencing the long-term stability of implant-supported prostheses in the oral cavity. Nevertheless, inefficient manual measurement and varied meas...

Sensitivity analysis of the mechanical properties on atherosclerotic arteries rupture risk with an artificial neural network method.

Computer methods in biomechanics and biomedical engineering
Considering the differences between individuals, in this paper, an uncertainty analysis model for predicting rupture risk of atherosclerotic arteries is established based on a back-propagation artificial neural network. The influence of isotropy and ...

Autonomous Detection of Humans in Off-Limits Mountain Areas.

Sensors (Basel, Switzerland)
This paper is on the autonomous detection of humans in off-limits mountains. In off-limits mountains, a human rarely exists, thus human detection is an extremely rare event. Due to the advances in artificial intelligence, object detection-classificat...

Generation of tissues outside the field of view (FOV) of radiation therapy simulation imaging based on machine learning and patient body outline (PBO).

Radiation oncology (London, England)
BACKGROUND: It is not unusual to see some parts of tissues are excluded in the field of view of CT simulation images. A typical mitigation is to avoid beams entering the missing body parts at the cost of sub-optimal planning.

A comparative analysis of CNN-based deep learning architectures for early diagnosis of bone cancer using CT images.

Scientific reports
Bone cancer is a rare in which cells in the bone grow out of control, resulting in destroying the normal bone tissue. A benign type of bone cancer is harmless and does not spread to other body parts, whereas a malignant type can spread to other body ...

Organic iontronic memristors for artificial synapses and bionic neuromorphic computing.

Nanoscale
To tackle the current crisis of Moore's law, a sophisticated strategy entails the development of multistable memristors, bionic artificial synapses, logic circuits and brain-inspired neuromorphic computing. In comparison with conventional electronic ...