AIMC Topic: Autoencoder

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Efficient pretraining of ECG scalogram images using masked autoencoders for cardiovascular disease diagnosis.

Scientific reports Jul 8, 2025
Cardiovascular diseases (CVDs) are the leading cause of mortality worldwide, emphasizing the need for accurate and early diagnosis. Electrocardiograms (ECG) provide a non-invasive means of diagnosing various cardiac conditions. However, traditional m...
Humans Electrocardiography Signal Processing, Computer-Assisted Autoencoder Algorithms Cardiovascular Diseases Deep Learning
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LSTM autoencoder based parallel architecture for deepfake audio detection with dynamic residual encoding and feature fusion.

Scientific reports Jul 2, 2025
With the rapid advancement of synthetic speech technologies, detecting deepfake audio has become essential for preventing impersonation and misinformation. This study aims to enhance detection performance by addressing limitations in existing models,...
Voice Humans Autoencoder Deep Learning Neural Networks, Computer Speech Algorithms
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Leveraging autoencoder models and data augmentation to uncover transcriptomic diversity of gingival keratinocytes in single cell analysis.

Scientific reports Jul 1, 2025
Periodontitis, a chronic inflammatory condition of the periodontium, is associated with over 60 systemic diseases. Despite advancements, precision medicine approaches have had limited success, emphasizing the need for deeper insights into cellular su...
Humans Algorithms Gene Expression Profiling Gingiva Autoencoder Sequence Analysis, RNA Transcriptome Principal Component Analysis Keratinocytes Single-Cell Analysis
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Intraoperative Assessment of Parathyroidectomy Outcomes via Autoencoder-Support-Vector-Machine-Assisted Label-Free Differential SERS Spectroscopy.

Nano letters Jun 30, 2025
Intraoperative guidance plays a pivotal role in enhancing surgical success rates and optimizing patients' prognosis. However, during surgery, the lack of reliable monitoring methods remains a critical challenge. Therefore, we developed an autoencoder...
Male Spectrum Analysis, Raman Support Vector Machine Humans Female Parathyroidectomy Parathyroid Glands Autoencoder
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Noise-Consistent Hypergraph Autoencoder Based on Contrastive Learning for Cancer ceRNA Association Prediction in Complex Biological Regulatory Networks.

Journal of chemical information and modeling Jun 12, 2025
Competitive endogenous RNA (ceRNA) regulatory networks (CENA) have advanced our understanding of noncoding RNAs' roles in complex diseases, providing a theoretical basis for disease mechanisms. Existing ceRNA-disease association prediction methods ar...
Neoplasms Gene Regulatory Networks Computational Biology Autoencoder RNA, Competitive Endogenous Humans Machine Learning
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Relapse prediction using wearable data through convolutional autoencoders and clustering for patients with psychotic disorders.

Scientific reports May 29, 2025
Relapse of psychotic disorders occurs commonly even after appropriate treatment. Digital phenotyping becomes essential to achieve remote monitoring for mental conditions. We applied a personalized approach using neural-network-based anomaly detection...
Autoencoder Psychotic Disorders Recurrence Female Humans Adult Neural Networks, Computer Male Middle Aged Wearable Electronic Devices Cluster Analysis
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scE2EGAE: enhancing single-cell RNA-Seq data analysis through an end-to-end cell-graph-learnable graph autoencoder with differentiable edge sampling.

Biology direct May 27, 2025
BACKGROUND: Single-cell RNA sequencing (scRNA-Seq) technology reveals biological processes and molecular-level genomic information among individual cells. Numerous computational methods, including methods based on graph neural networks (GNNs), have b...
Neural Networks, Computer Software Algorithms Single-Cell Analysis RNA-Seq Humans Autoencoder Single-Cell Gene Expression Analysis Sequence Analysis, RNA
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Synthetic Lung Ultrasound Data Generation Using Autoencoder With Generative Adversarial Network.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control May 7, 2025
Class imbalance is a significant challenge in medical image analysis, particularly in lung ultrasound (LUS), where severe patterns are often underrepresented. Traditional oversampling techniques, which simply duplicate original data, have limited eff...
Autoencoder Generative Adversarial Networks Neural Networks, Computer Ultrasonography Algorithms Image Processing, Computer-Assisted Lung Humans
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Latent space autoencoder generative adversarial model for retinal image synthesis and vessel segmentation.

BMC medical imaging May 5, 2025
Diabetes is a widespread condition that can lead to serious vision problems over time. Timely identification and treatment of diabetic retinopathy (DR) depend on accurately segmenting retinal vessels, which can be achieved through the invasive techni...
Image Processing, Computer-Assisted Fundus Oculi Humans Image Interpretation, Computer-Assisted Diabetic Retinopathy Autoencoder Algorithms Neural Networks, Computer Retinal Vessels Deep Learning
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Design of diverse, functional mitochondrial targeting sequences across eukaryotic organisms using variational autoencoder.

Nature communications May 4, 2025
Mitochondria play a key role in energy production and metabolism, making them a promising target for metabolic engineering and disease treatment. However, despite the known influence of passenger proteins on localization efficiency, only a few protei...
Eukaryota Peptides Humans Autoencoder Mitochondria Animals Protein Transport
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