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Multi-class EEG classification of motor imagery signal by finding optimal time segments and features using SNR-based mutual information
The electroencephalogram signals are used to distinguish different motor imagery tasks in brain–computer interfaces. In most studies, in order to...
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Dual CNN cross-teaching semi-supervised segmentation network with multi-kernels and global contrastive loss in ACDC
AbstractThe cross-teaching based on Convolutional Neural Network (CNN) and Transformer has been successful in semi-supervised learning; however, the...
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Automated detection of schizophrenia using optimal wavelet-based \(l_1\) norm features extracted from single-channel EEG
Schizophrenia (SZ) is a mental disorder, which affects the ability of human thinking, memory, and way of living. Manual screening of SZ patients is...
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Assessing the Repeatability of Multi-Frequency Multi-Layer Brain Network Topologies Across Alternative Researcher’s Choice Paths
There is a growing interest in the neuroscience community on the advantages of multilayer functional brain networks. Researchers usually treated...
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Age-related asymmetry in anticipatory postural movements during unilateral arm movement and imagery
Reaching movements of the arms are accompanied by anticipatory (APM) and compensatory postural motion (CPM) that counteract the resulting...
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A coarse-to-fine registration method for three-dimensional MR images
Three-dimensional (3D) multimodal magnetic resonance (MR) image registration aims to align similar things in different MR images spatially. Such a...
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Prediction of prognosis in glioblastoma with radiomics features extracted by synthetic MRI images using cycle-consistent GAN
To propose a style transfer model for multi-contrast magnetic resonance imaging (MRI) images with a cycle-consistent generative adversarial network...
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Short-term zinc supplementation of zinc-deficient seniors counteracts CREMα - mediated IL-2 suppression
BackgroundAging is accompanied by a dramatic decline in the interleukin (IL)-2 production capacity of human immune cells, thus making seniors more...
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Image Registration: Fundamentals and Recent Advances Based on Deep Learning
Registration is the process of establishing spatial correspondences between images. It allows for the alignment and transfer of key information...
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Motion correction and noise removing in lung diffusion-weighted MRI using low-rank decomposition
Lung diffusion-weighted magnetic resonance imaging (DWI) has shown a promising value in lung lesion detection, diagnosis, differentiation, and...
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Enhanced representation of natural sound sequences in the ventral auditory midbrain
The auditory midbrain (inferior colliculus, IC) plays an important role in sound processing, acting as hub for acoustic information extraction and...
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Fall risk classification with posturographic parameters in community-dwelling older adults: a machine learning and explainable artificial intelligence approach
BackgroundComputerized posturography obtained in standing conditions has been applied to classify fall risk for older adults or disease groups....
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Cross-validated Adaboost Classification of Emotion Regulation Strategies Identified by Spectral Coherence in Resting-State
In the present study, quantitative relations between Cognitive Emotion Regulation strategies (CERs) and EEG synchronization levels have been...
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DNN-BP: a novel framework for cuffless blood pressure measurement from optimal PPG features using deep learning model
AbstractContinuous blood pressure (BP) provides essential information for monitoring one’s health condition. However, BP is currently monitored using...
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Investigation of global brain dynamics depending on emotion regulation strategies indicated by graph theoretical brain network measures at system level
In the present study, new findings reveal the close association between graph theoretic global brain connectivity measures and cognitive abilities...
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Disentangling environmental effects in microbial association networks
BackgroundEcological interactions among microorganisms are fundamental for ecosystem function, yet they are mostly unknown or poorly understood....
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More Than the Sum of Its Parts: Visual–Tactile Integration in the Behaving Rat
We experience the world by constantly integrating cues from multiple modalities to form unified sensory percepts. Once familiar with multimodal...
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Channel-wise attention enhanced and structural similarity constrained cycleGAN for effective synthetic CT generation from head and neck MRI images
BackgroundMagnetic resonance imaging (MRI) plays an increasingly important role in radiotherapy, enhancing the accuracy of target and organs at risk...
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A 4D-CBCT correction network based on contrastive learning for dose calculation in lung cancer
ObjectiveThis study aimed to present a deep-learning network called contrastive learning-based cycle generative adversarial networks (CLCGAN) to...
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Impact of Changing Regulations and the Dynamic Nature of European Risk Management Plans for Human Medicines on the Lifecycle of Safety Concerns
IntroductionThe European Risk Management Plan (EU-RMP) is a proactive planning tool for identification, characterisation and management of important...
