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Found 5 papers, 1 papers with code
A Comprehensive Review of Myoelectric Prosthesis Control
In this paper, the following myoelectric prosthesis control methods were discussed in detail: On-off and finite-state, proportional, direct, and posture, simultaneous, classification and regression-based control, and deep learning methods.
Which K-Space Sampling Schemes is good for Motion Artifact Detection in Magnetic Resonance Imaging?
In this regard, various synthetic motions with different trajectories of displacement and rotation are applied to T1 and T2-weighted MRI images, and a convolutional neural network is trained to show the difficulty of motion classification.
Stack of discriminative autoencoders for multiclass anomaly detection in endoscopy images
There are few studies that address pathological assessment of endoscopy images in multiclass classification and most of them are based on binary anomaly detection or aim to detect a specific type of anomaly.
Distance Metric-Based Learning with Interpolated Latent Features for Location Classification in Endoscopy Image and Video
Two models were trained using only 78 CE and 27 WCE annotated frames to predict the location of 25700 and 1825 video frames from CE and WCE, respectively.
Fetal ECG Extraction from Maternal ECG using Attention-based CycleGAN
Decomposing the FECG signal from maternal ECG (MECG) is a blind source separation problem, which is hard due to the low amplitude of FECG, the overlap of R waves, and the potential exposure to noise from different sources.
