AIMC Topic: Algorithms

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Deep Power-Aware Tunable Weighting for Ultrasound Microvascular Imaging.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Jan 8, 2025
Ultrasound microvascular imaging (UMI), including ultrafast power Doppler imaging (uPDI) and ultrasound localization microscopy (ULM), obtains blood flow information through plane wave (PW) transmissions at high frame rates. However, low signal-to-no...
Algorithms Phantoms, Imaging Brain Microvessels Animals Rats Signal Processing, Computer-Assisted Signal-To-Noise Ratio Deep Learning Ultrasonography Image Processing, Computer-Assisted
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VoxelMorph-Based Deep Learning Motion Correction for Ultrasound Localization Microscopy of Spinal Cord.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Jan 8, 2025
Accurate assessment of spinal cord vasculature is important for the urgent diagnosis of injury and subsequent treatment. Ultrasound localization microscopy (ULM) offers super-resolution imaging of microvasculature by localizing and tracking individua...
Image Processing, Computer-Assisted Animals Motion Spinal Cord Deep Learning Microvessels Microscopy Artifacts Ultrasonography Microbubbles Algorithms
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ULM-MbCNRT: In Vivo Ultrafast Ultrasound Localization Microscopy by Combining Multibranch CNN and Recursive Transformer.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Jan 8, 2025
Ultrasound localization microscopy (ULM) overcomes the acoustic diffraction limit by localizing tiny microbubbles (MBs), thus enabling the microvascular to be rendered at subwavelength resolution. Nevertheless, to obtain such superior spatial resolut...
Image Processing, Computer-Assisted Mice Microbubbles Phantoms, Imaging Animals Microscopy, Acoustic Neural Networks, Computer Deep Learning Algorithms Ultrasonography
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Interpretable machine learning-based prediction of 28-day mortality in ICU patients with sepsis: a multicenter retrospective study.

Frontiers in cellular and infection microbiology Jan 8, 2025
BACKGROUND: Sepsis is a major cause of mortality in intensive care units (ICUs) and continues to pose a significant global health challenge, with sepsis-related deaths contributing substantially to the overall burden on healthcare systems worldwide. ...
Sepsis Intensive Care Units Logistic Models Algorithms Aged Humans Female Prognosis Support Vector Machine Male Machine Learning Risk Factors Retrospective Studies Middle Aged
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NRGCNMDA: Microbe-Drug Association Prediction Based on Residual Graph Convolutional Networks and Conditional Random Fields.

Interdisciplinary sciences, computational life sciences Jan 7, 2025
The process of discovering new drugs related to microbes through traditional biological methods is lengthy and costly. In response to these issues, a new computational model (NRGCNMDA) is proposed to predict microbe-drug associations. First, Node2vec...
Neural Networks, Computer Computational Biology Listeria monocytogenes Algorithms Enterococcus faecalis Anti-Bacterial Agents Deep Learning
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Prediction of Deoxynivalenol contamination in wheat kernels and flour based on visible near-infrared spectroscopy, feature selection and machine learning modelling.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 7, 2025
Contamination of wheat by the mycotoxin Deoxynivalenol (DON), produced by Fusarium fungi, poses significant challenges to the quality of crop yield and food safety. Visible and near-infrared (vis-NIR) spectroscopy has emerged as a promising, non-dest...
Triticum Trichothecenes Flour Machine Learning Algorithms Spectroscopy, Near-Infrared Food Contamination
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Multi-Scale Pyramid Squeeze Attention Similarity Optimization Classification Neural Network for ERP Detection.

Neural networks : the official journal of the International Neural Network Society Jan 7, 2025
Event-related potentials (ERPs) can reveal brain activity elicited by external stimuli. Innovative methods to decode ERPs could enhance the accuracy of brain-computer interface (BCI) technology and promote the understanding of cognitive processes. Th...
Brain-Computer Interfaces Evoked Potentials Deep Learning Electroencephalography Attention Humans Neural Networks, Computer Algorithms Brain
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Searching to extrapolate embedding for out-of-graph node representation learning.

Neural networks : the official journal of the International Neural Network Society Jan 7, 2025
Out-of-graph node representation learning aims at learning about newly arrived nodes for a dynamic graph. It has wide applications ranging from community detection, recommendation system to malware detection. Although existing methods can be adapted ...
Humans Neural Networks, Computer Machine Learning Algorithms
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Rad4XCNN: A new agnostic method for post-hoc global explanation of CNN-derived features by means of Radiomics.

Computer methods and programs in biomedicine Jan 7, 2025
BACKGROUND AND OBJECTIVE: In recent years, machine learning-based clinical decision support systems (CDSS) have played a key role in the analysis of several medical conditions. Despite their promising capabilities, the lack of transparency in AI mode...
Machine Learning Algorithms Female Humans Neural Networks, Computer Ultrasonography Decision Support Systems, Clinical Reproducibility of Results Breast Neoplasms Radiomics
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Multilabel segmentation and analysis of skeletal muscle and adipose tissue in routine abdominal CT scans.

Computers in biology and medicine Jan 7, 2025
PURPOSE: This paper presents a deep learning-based multi-label segmentation network that extracts a total of three separate adipose tissues and five different muscle tissues in CT slices of the third lumbar vertebra and additionally improves the segm...
Muscle, Skeletal Adipose Tissue Middle Aged Deep Learning Image Processing, Computer-Assisted Algorithms Tomography, X-Ray Computed Female Aged Humans Adult Male
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