AIMC Topic: Generative Adversarial Networks

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Generative Adversarial Network With Robust Discriminator Through Multi-Task Learning for Low-Dose CT Denoising.

IEEE transactions on medical imaging Jan 2, 2025
Reducing the dose of radiation in computed tomography (CT) is vital to decreasing secondary cancer risk. However, the use of low-dose CT (LDCT) images is accompanied by increased noise that can negatively impact diagnoses. Although numerous deep lear...
Radiation Dosage Signal-To-Noise Ratio Generative Adversarial Networks Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted
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Brain multi modality image inpainting via deep learning based edge region generative adversarial network.

Technology and health care : official journal of the European Society for Engineering and Medicine Dec 25, 2024
A brain tumor (BT) is considered one of the most crucial and deadly diseases in the world, as it affects the central nervous system and its main functions. Headaches, nausea, and balance problems are caused by tumors pressing on nearby brain tissue a...
Magnetic Resonance Imaging Generative Adversarial Networks Brain Neoplasms Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Humans Brain
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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 (...
Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Aged Male Humans Idiopathic Pulmonary Fibrosis Radiographic Image Interpretation, Computer-Assisted Lung Diseases, Interstitial Middle Aged Lung Deep Learning Respiratory Function Tests Generative Adversarial Networks
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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...
Glioma Magnetic Resonance Imaging Generative Adversarial Networks Humans Deep Learning Imaging, Three-Dimensional Neural Networks, Computer Brain Neoplasms
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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...
Generative Adversarial Networks Contrast Media Magnetic Resonance Imaging Image Enhancement Female Aged Young Adult Adult Male Middle Aged Humans Neural Networks, Computer Brain
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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 Computational Biology Humans Generative Adversarial Networks Neural Networks, Computer
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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...
Neural Networks, Computer Animals Parietal Lobe Macaca mulatta Generative Adversarial Networks Models, Neurological Action Potentials Neurons
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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 Liver Neoplasms Deep Learning Humans Female Liver Retrospective Studies Aged Liver Diseases Tomography, X-Ray Computed 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 ...
Humans Fontan Procedure Neural Networks, Computer Models, Cardiovascular Machine Learning Generative Adversarial Networks Male
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Synthetic neurosurgical data generation with generative adversarial networks and large language models:an investigation on fidelity, utility, and privacy.

Neurosurgical focus Jul 1, 2025
OBJECTIVE: Use of neurosurgical data for clinical research and machine learning (ML) model development is often limited by data availability, sample sizes, and regulatory constraints. Synthetic data offer a potential solution to challenges associated...
Humans Machine Learning Language Neurosurgical Procedures Privacy Female Large Language Models Aged Generative Adversarial Networks Male
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