AIMC Topic: Generative Adversarial Networks

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Circular saw blade wear status prediction based on generative adversarial network and CNN-LSTM model.

PloS one Jun 18, 2025
Monitoring the status of circular saw blades is an effective measure to ensure the production efficiency and safety of spent fuel assembly cutting. However, the prediction of wear during the cutting of stainless steel shells of spent fuel assemblies ...
Stainless Steel Generative Adversarial Networks Algorithms Models, Theoretical Neural Networks, Computer
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VAE-GANMDA: A microbe-drug association prediction model integrating variational autoencoders and generative adversarial networks.

Artificial intelligence in medicine Jun 16, 2025
Traditional biological experimental methods typically require weeks or even months of experimentation, and the cost of each experiment can reach hundreds or even thousands of dollars, which is quite expensive and time-consuming. To address this, a mo...
Humans Autoencoder Neural Networks, Computer Generative Adversarial Networks Algorithms SARS-CoV-2 Anti-Bacterial Agents COVID-19 Drug Treatment COVID-19
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Towards large nuclear imaging system optical simulations with optiGAN, a generative adversarial network.

Physics in medicine and biology Jun 9, 2025
Optical Monte Carlo (MC) simulations are essential for modeling light transport in radiation detectors used in nuclear imaging and high-energy physics. However, full-system simulations remain computationally prohibitive due to the need to track optic...
Image Processing, Computer-Assisted Neural Networks, Computer Photons Generative Adversarial Networks Monte Carlo Method
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High-fidelity in silico generation and augmentation of TCR repertoire data using generative adversarial networks.

Scientific reports May 26, 2025
Engineered T-cell receptor (eTCR) systems rely on accurately generated T-cell receptor (TCR) sequences to enhance immunotherapy predictability and efficacy. The most variable and crucial part of the TCR receptor is the CDR3 sequence region. Current m...
Humans Neural Networks, Computer Complementarity Determining Regions Generative Adversarial Networks Computer Simulation Receptors, Antigen, T-Cell
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A generative adversarial network-based accurate masked face recognition model using dual scale adaptive efficient attention network.

Scientific reports May 21, 2025
Masked identification of faces is necessary for authentication purposes. Face masks are frequently utilized in a wide range of professions and sectors including public safety, health care, schooling, catering services, production, sales, and shipping...
Masks Facial Recognition Generative Adversarial Networks Face Biometric Identification Humans Neural Networks, Computer Image Processing, Computer-Assisted Automated Facial Recognition Deep Learning
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iEnhancer-GDM: A Deep Learning Framework Based on Generative Adversarial Network and Multi-head Attention Mechanism to Identify Enhancers and Their Strength.

Interdisciplinary sciences, computational life sciences May 7, 2025
Enhancers are short DNA fragments capable of significantly increase the frequency of gene transcription. They often exert their effects on targeted genes over long distances, either in cis or in trans configurations. Identifying enhancers poses a cha...
Computational Biology Humans Neural Networks, Computer Enhancer Elements, Genetic Generative Adversarial Networks Deep Learning
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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...
Ultrasonography Algorithms Humans Image Processing, Computer-Assisted Lung Generative Adversarial Networks Neural Networks, Computer Autoencoder
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TCGAN: Temporal Convolutional Generative Adversarial Network for Fetal ECG Extraction Using Single-Channel Abdominal ECG.

IEEE journal of biomedical and health informatics May 6, 2025
Noninvasive fetal ECG (FECG) monitoring holds significant importance in ensuring the normal development of the fetus. Since FECG is usually submerged by maternal ECG (MECG) and background noise in abdominal ECG (AECG), it is challenging to exactly re...
Humans Female Abdomen Neural Networks, Computer Electrocardiography Fetal Monitoring Signal Processing, Computer-Assisted Pregnancy Fetus Generative Adversarial Networks
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Towards High-Quality MRI Reconstruction With Anisotropic Diffusion-Assisted Generative Adversarial Networks and Its Multi-Modal Images Extension.

IEEE journal of biomedical and health informatics May 6, 2025
Recently, fast Magnetic Resonance Imaging reconstruction technology has emerged as a promising way to improve the clinical diagnostic experience by significantly reducing scan times. While existing studies have used Generative Adversarial Networks to...
Magnetic Resonance Imaging Anisotropy Generative Adversarial Networks Humans Brain Neural Networks, Computer Image Processing, Computer-Assisted Algorithms
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Unsupervised non-small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity-based discriminator.

Journal of applied clinical medical physics Apr 23, 2025
BACKGROUND: Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning-based automatic segmentation methods rely on manually annotated data for network training.
Algorithms Tomography, X-Ray Computed Deep Learning Humans Neural Networks, Computer Carcinoma, Non-Small-Cell Lung Unsupervised Machine Learning Image Processing, Computer-Assisted Generative Adversarial Networks Lung Neoplasms
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