AIMC Topic: Generative Adversarial Networks

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Improving functional correlation of quantification of interstitial lung disease by reducing the vendor difference of CT using generative adversarial network (GAN) style conversion.

European journal of radiology Dec 22, 2024
OBJECTIVE: To assess whether CT style conversion between different CT vendors using a routable generative adversarial network (RouteGAN) could minimize variation in ILD quantification, resulting in improved functional correlation of quantitative CT (...
Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Lung Diseases, Interstitial Respiratory Function Tests Tomography, X-Ray Computed Female Reproducibility of Results Generative Adversarial Networks Humans Lung Aged Deep Learning Male Idiopathic Pulmonary Fibrosis Middle Aged
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Generating 3D brain tumor regions in MRI using vector-quantization Generative Adversarial Networks.

Computers in biology and medicine Dec 19, 2024
Medical image analysis has significantly benefited from advancements in deep learning, particularly in the application of Generative Adversarial Networks (GANs) for generating realistic and diverse images that can augment training datasets. The commo...
Neural Networks, Computer Brain Neoplasms Humans Magnetic Resonance Imaging Generative Adversarial Networks Deep Learning Imaging, Three-Dimensional Glioma
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Generative Adversarial Network Based Contrast Enhancement: Synthetic Contrast Brain Magnetic Resonance Imaging.

Academic radiology Dec 18, 2024
RATIONALE AND OBJECTIVES: Magnetic resonance imaging (MRI) is a vital tool for diagnosing neurological disorders, frequently utilising gadolinium-based contrast agents (GBCAs) to enhance resolution and specificity. However, GBCAs present certain risk...
Image Enhancement Generative Adversarial Networks Middle Aged Contrast Media Magnetic Resonance Imaging Neural Networks, Computer Adult Humans Brain Aged Male Female Young Adult
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Generative Adversarial Network-Based Augmentation With Noval 2-Step Authentication for Anti-Coronavirus Peptide Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
The virus poses a longstanding and enduring danger to various forms of life. Despite the ongoing endeavors to combat viral diseases, there exists a necessity to explore and develop novel therapeutic options. Antiviral peptides are bioactive molecules...
Peptides Deep Learning Antiviral Agents Humans Computational Biology Neural Networks, Computer Generative Adversarial Networks
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Temporal spiking generative adversarial networks for heading direction decoding.

Neural networks : the official journal of the International Neural Network Society Dec 5, 2024
The spike-based neuronal responses within the ventral intraparietal area (VIP) exhibit intricate spatial and temporal dynamics in the posterior parietal cortex, presenting decoding challenges such as limited data availability at the biological popula...
Animals Models, Neurological Action Potentials Macaca mulatta Generative Adversarial Networks Neurons Parietal Lobe Neural Networks, Computer
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Generative adversarial network (GAN) model-based design of potent SARS-CoV-2 M inhibitors using the electron density of ligands and 3D binding pockets: insights from molecular docking, dynamics simulation, and MM-GBSA analysis.

Molecular diversity Nov 30, 2024
Deep learning-based generative adversarial network (GAN) frameworks have recently been developed to expedite the drug discovery process. These models generate novel molecules from scratch and validate them through molecular docking simulation to iden...
Coronavirus 3C Proteases Generative Adversarial Networks Molecular Docking Simulation Humans COVID-19 Drug Treatment Molecular Dynamics Simulation Drug Design Antiviral Agents COVID-19 Binding Sites Deep Learning Protein Binding Ligands SARS-CoV-2 Protease Inhibitors
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Automatic localization and deep convolutional generative adversarial network-based classification of focal liver lesions in computed tomography images: A preliminary study.

Journal of gastroenterology and hepatology Nov 14, 2024
BACKGROUND AND AIM: Computed tomography of the abdomen exhibits subtle and complex features of liver lesions, subjectively interpreted by physicians. We developed a deep learning-based localization and classification (DLLC) system for focal liver les...
Generative Adversarial Networks Male Middle Aged Humans Liver Neoplasms Deep Learning Female Retrospective Studies Liver Aged Tomography, X-Ray Computed Liver Diseases Adult
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Active Machine Learning for Pre-procedural Prediction of Time-Varying Boundary Condition After Fontan Procedure Using Generative Adversarial Networks.

Annals of biomedical engineering Oct 31, 2024
The Fontan procedure is the definitive palliation for pediatric patients born with single ventricles. Surgical planning for the Fontan procedure has emerged as a promising vehicle toward optimizing outcomes, where pre-operative measurements are used ...
Male Fontan Procedure Models, Cardiovascular Humans Neural Networks, Computer Machine Learning Generative Adversarial Networks
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[Diffusion cycle-consistent generative adversarial networks for pelvic active bone marrow segmentation].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Jan 20, 2026
OBJECTIVES: To establish a pelvic active bone marrow (ABM) segmentation method based on diffusion cycle-consistent generative adversarial networks for improving individualized precision of conventional anatomical atlas-based methods. METHODS: We coll...
Humans Pelvis Bone Marrow Signal-To-Noise Ratio Generative Adversarial Networks Neural Networks, Computer Image Processing, Computer-Assisted Positron Emission Tomography Computed Tomography
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Generative adversarial network augmented data for improved heart sound abnormality detection.

Computers in biology and medicine Sep 1, 2025
The PhysioNet/Computing in Cardiology (CinC) Challenge 2016 dataset has driven significant advancements in automated heart sound analysis using machine learning (ML) and deep learning (DL). However, these efforts are constrained by the dataset's limi...
Machine Learning Databases, Factual Deep Learning Signal Processing, Computer-Assisted Humans Neural Networks, Computer Coronary Artery Disease Heart Sounds Generative Adversarial Networks
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