AIMC Topic: Deep Learning

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Optimization of sparse-view CT reconstruction based on convolutional neural network.

Medical physics Feb 2, 2025
BACKGROUND: Sparse-view CT shortens scan time and reduces radiation dose but results in severe streak artifacts due to insufficient sampling data. Deep learning methods can now suppress these artifacts and improve image quality in sparse-view CT reco...
Image Processing, Computer-Assisted Artifacts Deep Learning Convolutional Neural Networks Neural Networks, Computer Tomography, X-Ray Computed Humans
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Enhanced electroencephalogram signal classification: A hybrid convolutional neural network with attention-based feature selection.

Brain research Feb 2, 2025
Accurate recognition and classification of motor imagery electroencephalogram (MI-EEG) signals are crucial for the successful implementation of brain-computer interfaces (BCI). However, inherent characteristics in original MI-EEG signals, such as non...
Neural Networks, Computer Attention Brain Imagination Convolutional Neural Networks Male Brain-Computer Interfaces Humans Deep Learning Electroencephalography Signal Processing, Computer-Assisted
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End-To-End Deep Learning Explains Antimicrobial Resistance in Peak-Picking-Free MALDI-MS Data.

Analytical chemistry Feb 2, 2025
Mass spectrometry is used to determine infectious microbial species in thousands of clinical laboratories across the world. The vast amount of data allows modern data analysis methods that harvest more information and potentially answer new questions...
Neural Networks, Computer Deep Learning Microbial Sensitivity Tests Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Anti-Bacterial Agents Drug Resistance, Bacterial
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Deep learning to decode sites of RNA translation in normal and cancerous tissues.

Nature communications Feb 2, 2025
The biological process of RNA translation is fundamental to cellular life and has wide-ranging implications for human disease. Accurate delineation of RNA translation variation represents a significant challenge due to the complexity of the process a...
Humans Ribosomes Medulloblastoma RNA, Messenger Protein Biosynthesis Brain Open Reading Frames Deep Learning
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Development and validation of fully automated robust deep learning models for multi-organ segmentation from whole-body CT images.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 2, 2025
PURPOSE: This study aimed to develop a deep-learning framework to generate multi-organ masks from CT images in adult and pediatric patients.
Tomography, X-Ray Computed Adult Deep Learning Humans Automation Whole Body Imaging Child Image Processing, Computer-Assisted
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Pan-sharpening via Symmetric Multi-Scale Correction-Enhancement Transformers.

Neural networks : the official journal of the International Neural Network Society Feb 1, 2025
Pan-sharpening is a widely employed technique for enhancing the quality and accuracy of remote sensing images, particularly in high-resolution image downstream tasks. However, existing deep-learning methods often neglect the self-similarity in remote...
Remote Sensing Technology Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted
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Multi-knowledge informed deep learning model for multi-point prediction of Alzheimer's disease progression.

Neural networks : the official journal of the International Neural Network Society Feb 1, 2025
The diagnosis of Alzheimer's disease (AD) based on visual features-informed by clinical knowledge has achieved excellent results. Our study endeavors to present an innovative and detailed deep learning framework designed to accurately predict the pro...
Deep Learning Magnetic Resonance Imaging Alzheimer Disease Male Disease Progression Humans Female Aged Brain
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DLPVI: Deep learning framework integrating projection, view-by-view backprojection, and image domains for high- and ultra-sparse-view CBCT reconstruction.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 1, 2025
This study proposes a deep learning framework, DLPVI, which integrates projection, view-by-view backprojection (VVBP), and image domains to improve the quality of high-sparse-view and ultra-sparse-view cone-beam computed tomography (CBCT) images. The...
Phantoms, Imaging Deep Learning Cone-Beam Computed Tomography Image Processing, Computer-Assisted Humans Algorithms
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Meta-learning guidance for robust medical image synthesis: Addressing the real-world misalignment and corruptions.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 1, 2025
Deep learning-based image synthesis for medical imaging is currently an active research topic with various clinically relevant applications. Recently, methods allowing training with misaligned data have started to emerge, yet current solution lack ro...
Diagnostic Imaging Artifacts Algorithms Deep Learning Image Processing, Computer-Assisted Humans
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Age and gender-related changes in choroidal thickness: Insights from deep learning analysis of swept-source OCT images.

Photodiagnosis and photodynamic therapy Feb 1, 2025
BACKGROUND: The choroid is a vital vascular layer of the eye, essential for maintaining ocular health. Understanding its structural variations, particularly choroidal thickness (CT), is crucial for the early detection of diseases, such as age-related...
Sex Factors Middle Aged Deep Learning Choroid Tomography, Optical Coherence Age Factors Adult Male Aged Aged, 80 and over Humans Female
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