BackBrowsing by Author "Yang, Guang"
Now showing items 1-4 of 4
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Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions
; Del Ser Lorente, Javier
; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; (Elsevier, 2022-06)
Removing the bias and variance of multicentre data has always been a challenge in large scale digital healthcare studies, which requires the ability to integrate clinical features extracted from data acquired by different ... -
Edge-enhanced dual discriminator generative adversarial network for fast MRI with parallel imaging using multi-view information
; ; ; ; ; Del Ser Lorente, Javier; ; ; ; (Springer, 2022-10)
In clinical medicine, magnetic resonance imaging (MRI) is one of the most important tools for diagnosis, triage, prognosis, and treatment planning. However, MRI suffers from an inherent slow data acquisition process because ... -
Fuzz-ClustNet: Coupled fuzzy clustering and deep neural networks for Arrhythmia detection from ECG signals
; ; ; Del Ser Lorente, Javier; (Elsevier, 2023-02)
Electrocardiogram (ECG) is a widely used technique to diagnose cardiovascular diseases. It is a non-invasive technique that represents the cyclic contraction and relaxation of heart muscles. ECG can be used to detect ... -
Swin transformer for fast MRI
; ; ; ; ; ; Del Ser Lorente, Javier; ; (Elsevier, 2022-07)
Magnetic resonance imaging (MRI) is an important non-invasive clinical tool that can produce high -resolution and reproducible images. However, a long scanning time is required for high-quality MR images, which leads to ...