AIMC Topic: Prostheses and Implants
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Genetic algorithm search for the worst-case MRI RF exposure for a multiconfiguration implantable fixation system modeled using artificial neural networks.
Magnetic resonance in medicine
May 27, 2020
PURPOSE: This paper presents a method to search for the worst-case configuration leading to the highest RF exposure for a multiconfiguration implantable fixation system under MRI.
A convolutional neural network to detect scoliosis treatment in radiographs.
International journal of computer assisted radiology and surgery
Apr 26, 2020
PURPOSE: The aim of this work is to propose a classification algorithm to automatically detect treatment for scoliosis (brace, implant or no treatment) in postero-anterior radiographs. Such automatic labelling of radiographs could represent a step to...
Assistance Robotics and Biosensors 2019.
Sensors (Basel, Switzerland)
Feb 29, 2020
This Special Issue is focused on breakthrough developments in the field of assistive and rehabilitation robotics. The selected contributions include current scientific progress from biomedical signal processing and cover applications to myoelectric p...
A dual-stream deep convolutional network for reducing metal streak artifacts in CT images.
Physics in medicine and biology
Nov 26, 2019
Machine learning and deep learning are rapidly finding applications in the medical imaging field. In this paper, we address the long-standing problem of metal artifacts in computed tomography (CT) images by training a dual-stream deep convolutional n...
Effect of surgical parameters on the biomechanical behaviour of bicondylar total knee endoprostheses - A robot-assisted test method based on a musculoskeletal model.
Scientific reports
Oct 10, 2019
The complicated interplay of total knee replacement (TKR) positioning and patient-specific soft tissue conditions still causes a considerable number of unsatisfactory outcomes. Therefore, we deployed a robot-assisted test method, in which a six-axis ...
Electronic Skin: Recent Progress and Future Prospects for Skin-Attachable Devices for Health Monitoring, Robotics, and Prosthetics.
Advanced materials (Deerfield Beach, Fla.)
Sep 19, 2019
Recent progress in electronic skin or e-skin research is broadly reviewed, focusing on technologies needed in three main applications: skin-attachable electronics, robotics, and prosthetics. First, since e-skin will be exposed to prolonged stresses o...
Segmentation of dental cone-beam CT scans affected by metal artifacts using a mixed-scale dense convolutional neural network.
Medical physics
Sep 13, 2019
PURPOSE: In order to attain anatomical models, surgical guides and implants for computer-assisted surgery, accurate segmentation of bony structures in cone-beam computed tomography (CBCT) scans is required. However, this image segmentation step is of...
Simultaneous spatiotemporal tracking and oxygen sensing of transient implants in vivo using hot-spot MRI and machine learning.
Proceedings of the National Academy of Sciences of the United States of America
Feb 26, 2019
A varying oxygen environment is known to affect cellular function in disease as well as activity of various therapeutics. For transient structures, whether they are unconstrained therapeutic transplants, migrating cells during tumor metastasis, or ce...
Classification and regression of spatio-temporal signals using NeuCube and its realization on SpiNNaker neuromorphic hardware.
Journal of neural engineering
Dec 21, 2018
OBJECTIVE: The objective of this work is to use the capability of spiking neural networks to capture the spatio-temporal information encoded in time-series signals and decode them without the use of hand-crafted features and vector-based learning and...
Unsupervised and real-time spike sorting chip for neural signal processing in hippocampal prosthesis.
Journal of neuroscience methods
Oct 16, 2018
BACKGROUND: Damage to the hippocampus will result in the loss of ability to form new long-term memories and cognitive disorders. At present, there is no effective medical treatment for this issue. Hippocampal cognitive prosthesis is proposed to repla...
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