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Recognizing drivers' sleep onset by detecting slow eye movement using a parallel multimodal one-dimensional convolutional neural network.
Comput Methods Biomech Biomed Engin
January 2025
School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, Changzhou University, Changzhou, P.R. China.
Slow eye movements (SEMs) are a reliable physiological marker of drivers' sleep onset, often accompanied by EEG alpha wave attenuation. A parallel multimodal 1D convolutional neural network (PM-1D-CNN) model is proposed to classify SEMs. The model uses two parallel 1D-CNN blocks to extract features from EOG and EEG signals, which are then fused and fed into fully connected layers for classification.
View Article and Find Full Text PDFVirtual biopsy for non-invasive identification of follicular lymphoma histologic transformation using radiomics-based imaging biomarker from PET/CT.
BMC Med
January 2025
Department of Nuclear Medicine, West China Hospital, Sichuan University, Guoxue Alley, Address: No.37, Chengdu City, Sichuan, 610041, China.
Background: This study aimed to construct a radiomics-based imaging biomarker for the non-invasive identification of transformed follicular lymphoma (t-FL) using PET/CT images.
Methods: A total of 784 follicular lymphoma (FL), diffuse large B-cell lymphoma, and t-FL patients from 5 independent medical centers were included. The unsupervised EMFusion method was applied to fuse PET and CT images.
The impact of noise exposure, time pressure, and cognitive load on objective task performance and subjective sensory overload and fatigue.
J Clin Exp Neuropsychol
January 2025
Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands.
Introduction: Sensory hypersensitivity (SHS) refers to an increased sensitivity to sensory stimuli, often leading to sensory overload and adversely affecting daily functioning and well-being. This study examined the effects of three situational triggers - noise, time pressure, and cognitive load - on task performance, sensory overload, and fatigue. Additionally, we sought to explore the associations between these effects and SHS, while accounting for other influencing factors such as personality, coping mechanisms, and anxiety.
View Article and Find Full Text PDFDiscordance between prostate MRI and PSMA-PET/CT: the next big challenge for primary prostate tumor assessment?
Eur Radiol
January 2025
Department of Radiology, Oncologic Imaging Division, NYU Langone Health, New York, NY, USA.
Objectives: An increasing number of patients with prostate cancer (PCa) undergo assessment with magnetic resonance imaging (MRI) and prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA-PET/CT). This offers comprehensive multimodality staging but can lead to discrepancies. The objective was to assess the rates and types of discordance between MRI and PSMA-PET/CT for primary PCa assessment.
View Article and Find Full Text PDFSpaGraphCCI: Spatial cell-cell communication inference through GAT-based co-convolutional feature integration.
IET Syst Biol
January 2025
School of Computer, University of South China, Hengyang, Hunan, China.
Spatially resolved transcriptomics technologies potentially provide the extra spatial position information and tissue image to better infer spatial cell-cell interactions (CCIs) in processes such as tissue homeostasis, development, and disease progression. However, methods for effectively integrating spatial multimodal data to infer CCIs are still lacking. Here, the authors propose a deep learning method for integrating features through co-convolution, called SpaGraphCCI, to effectively integrate data from different modalities of SRT by projecting gene expression and image feature into a low-dimensional space.
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