AIMC Topic: Generative Adversarial Networks

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Prediction of Cerebrospinal Fluid (CSF) Pressure with Generative Adversarial Network Synthetic Plasma-CSF Biomarker Pairing.

Neuroinformatics Jul 10, 2025
Non-invasive intracranial pressure (ICP) monitoring can help clinicians safely and efficiently monitor spaceflight-associated neuro-ocular syndrome (SANS), idiopathic intracranial hypertension, and traumatic brain injury in astronauts. Current invasi...
Humans Cell-Free Nucleic Acids Generative Adversarial Networks Cerebrospinal Fluid Pressure Neural Networks, Computer Biomarkers
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A holistic framework for intradialytic hypotension prediction using generative adversarial networks-based data balancing.

BMC medical informatics and decision making Jul 10, 2025
BACKGROUND: Intradialytic Hypotension (IDH) is a frequent complication in hemodialysis, yet predictive modeling is challenged by class imbalance. Traditional oversampling methods often struggle with complex clinical data. This study evaluates an enha...
Hypotension Generative Adversarial Networks Middle Aged Renal Dialysis Humans Neural Networks, Computer Aged Male Female
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Super-resolution of 3D medical images by generative adversarial networks with long and short-term memory and attention.

Scientific reports Jul 1, 2025
Since 3D medical imaging data is a string of sequential images, there is a strong correlation between consecutive images. Deep convolutional networks perform well in extracting spatial features, but are less capable for processing sequence data compa...
Generative Adversarial Networks Memory, Short-Term Attention Humans Neural Networks, Computer Imaging, Three-Dimensional Image Processing, Computer-Assisted Algorithms
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A modified generative adversarial networks method for assisting the diagnosis of deep venous thrombosis complications in stroke patients.

Scientific reports Jul 1, 2025
Discriminate deep vein thrombosis, one of the complications in early stroke patients, in order to assist in diagnosis. We have constructed a new method called ACWGAN by combining ACGAN and WGAN methods for data augmentation to to enhance the data of ...
Humans Aged Male Middle Aged Neural Networks, Computer Female Stroke Generative Adversarial Networks Deep Learning Venous Thrombosis
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Systematic review of generative adversarial networks (GANs) in cell microscopy: Trends, practices, and impact on image augmentation.

PloS one Jun 24, 2025
Cell microscopy is the main tool that allows researchers to study microorganisms and plays a key role in observing and understanding the morphology, interactions, and development of microorganisms. However, there exist limitations in both the techniq...
Microscopy Generative Adversarial Networks Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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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 Algorithms Neural Networks, Computer Generative Adversarial Networks Models, Theoretical
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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...
Generative Adversarial Networks Image Processing, Computer-Assisted Monte Carlo Method Neural Networks, Computer Photons
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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 Receptors, Antigen, T-Cell Complementarity Determining Regions Neural Networks, Computer Computer Simulation Generative Adversarial Networks
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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...
Neural Networks, Computer Masks Deep Learning Facial Recognition Humans Face Generative Adversarial Networks Image Processing, Computer-Assisted Automated Facial Recognition Biometric Identification
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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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