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Found 5 papers, 1 papers with code
BraSyn 2023 challenge: Missing MRI synthesis and the effect of different learning objectives
This work addresses the Brain Magnetic Resonance Image Synthesis for Tumor Segmentation (BraSyn) challenge, which was hosted as part of the Brain Tumor Segmentation (BraTS) challenge in 2023.
Uncertainty Estimation in Contrast-Enhanced MR Image Translation with Multi-Axis Fusion
In recent years, deep learning has been applied to a wide range of medical imaging and image processing tasks.
On using the UA-Speech and TORGO databases to validate automatic dysarthric speech classification approaches
Such approaches typically rely on the underlying assumption that recordings from control and dysarthric speakers are collected in the same noiseless environment using the same recording setup.
Experimental investigation on STFT phase representations for deep learning-based dysarthric speech detection
Mainstream deep learning-based dysarthric speech detection approaches typically rely on processing the magnitude spectrum of the short-time Fourier transform of input signals, while ignoring the phase spectrum.
Supervised Speech Representation Learning for Parkinson's Disease Classification
Recently proposed automatic pathological speech classification techniques use unsupervised auto-encoders to obtain a high-level abstract representation of speech.
