AIMC Topic: Neural Networks, Computer

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Admission blood tests predicting survival of SARS-CoV-2 infected patients: a practical implementation of graph convolution network in imbalance dataset.

BMC infectious diseases Aug 9, 2024
BACKGROUND: Predicting an individual's risk of death from COVID-19 is essential for planning and optimising resources. However, since the real-world mortality rate is relatively low, particularly in places like Hong Kong, this makes building an accur...
Humans Neural Networks, Computer Machine Learning Adult Male Middle Aged Cohort Studies COVID-19 Female SARS-CoV-2 Aged Hong Kong Proportional Hazards Models Hematologic Tests
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Accurate neuron segmentation method for one-photon calcium imaging videos combining convolutional neural networks and clustering.

Communications biology Aug 9, 2024
One-photon fluorescent calcium imaging helps understand brain functions by recording large-scale neural activities in freely moving animals. Automatic, fast, and accurate active neuron segmentation algorithms are essential to extract and interpret in...
Animals Neural Networks, Computer Image Processing, Computer-Assisted Cluster Analysis Mice Neurons Software Calcium Algorithms Brain
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CMM: A CNN-MLP Model for COVID-19 Lesion Segmentation and Severity Grading.

IEEE/ACM transactions on computational biology and bioinformatics Aug 9, 2024
In this paper, a CNN-MLP model (CMM) is proposed for COVID-19 lesion segmentation and severity grading in CT images. The CMM starts by lung segmentation using UNet, and then segmenting the lesion from the lung region using a multi-scale deep supervis...
Deep Learning Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Humans SARS-CoV-2 Neural Networks, Computer Lung COVID-19 Severity of Illness Index Algorithms
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A Secure High-Order Gene Interaction Detection Algorithm Based on Deep Neural Network.

IEEE/ACM transactions on computational biology and bioinformatics Aug 9, 2024
Identifying high-order Single Nucleotide Polymorphism (SNP) interactions of additive genetic model is crucial for detecting complex disease gene-type and predicting pathogenic genes of various disorders. We present a novel framework for high-order ge...
Computational Biology Models, Genetic Epistasis, Genetic Neural Networks, Computer Algorithms Deep Learning Polymorphism, Single Nucleotide Humans
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Impact of training data composition on the generalizability of convolutional neural network aortic cross-section segmentation in four-dimensional magnetic resonance flow imaging.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Aug 8, 2024
BACKGROUND: Four-dimensional cardiovascular magnetic resonance flow imaging (4D flow CMR) plays an important role in assessing cardiovascular diseases. However, the manual or semi-automatic segmentation of aortic vessel boundaries in 4D flow data int...
Datasets as Topic Blood Flow Velocity Aorta Perfusion Imaging Regional Blood Flow Male Reproducibility of Results Humans Image Interpretation, Computer-Assisted Aged Middle Aged Neural Networks, Computer Hemodynamics Bicuspid Aortic Valve Disease Young Adult Case-Control Studies Female Adult Deep Learning Aortic Valve Predictive Value of Tests
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Euclidean-Distance-Preserved Feature Reduction for efficient person re-identification.

Neural networks : the official journal of the International Neural Network Society Aug 8, 2024
Person Re-identification (Re-ID) aims to match person images across non-overlapping cameras. The existing approaches formulate this task as fine-grained representation learning with deep neural networks, which involves extracting image features using...
Principal Component Analysis Discriminant Analysis Biometric Identification Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted Humans
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DCE-Qnet: deep network quantification of dynamic contrast enhanced (DCE) MRI.

Magma (New York, N.Y.) Aug 8, 2024
INTRODUCTION: Quantification of dynamic contrast-enhanced (DCE)-MRI has the potential to provide valuable clinical information, but robust pharmacokinetic modeling remains a challenge for clinical adoption.
Reproducibility of Results Adult Uterine Cervical Neoplasms Deep Learning Neural Networks, Computer Algorithms Female Least-Squares Analysis Humans Image Processing, Computer-Assisted Healthy Volunteers Contrast Media Image Enhancement Magnetic Resonance Imaging Phantoms, Imaging Cervix Uteri
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Improving ED admissions forecasting by using generative AI: An approach based on DGAN.

Computer methods and programs in biomedicine Aug 8, 2024
BACKGROUND AND OBJECTIVE: Generative Deep Learning has emerged in recent years as a significant player in the Artificial Intelligence field. Synthesizing new data while maintaining the features of reality has revolutionized the field of Deep Learning...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Emergency Service, Hospital Patient Admission Forecasting Reproducibility of Results Deep Learning
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Contrastive fine-grained domain adaptation network for EEG-based vigilance estimation.

Neural networks : the official journal of the International Neural Network Society Aug 8, 2024
Vigilance state is crucial for the effective performance of users in brain-computer interface (BCI) systems. Most vigilance estimation methods rely on a large amount of labeled data to train a satisfactory model for the specific subject, which limits...
Brain-Computer Interfaces Arousal Algorithms Brain Female Young Adult Humans Adult Neural Networks, Computer Male Electroencephalography Signal Processing, Computer-Assisted
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Joint computation offloading and resource allocation for end-edge collaboration in internet of vehicles via multi-agent reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Aug 8, 2024
Vehicular edge computing (VEC), a promising paradigm for the development of emerging intelligent transportation systems, can provide lower service latency for vehicular applications. However, it is still a challenge to fulfill the requirements of suc...
Resource Allocation Internet Reinforcement, Psychology Transportation Neural Networks, Computer Algorithms Computer Simulation Deep Learning
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