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Generative Adversarial Networks

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Energy and time-aware scheduling in diverse virtualized cloud computing environments using optimized self-attention progressive generative adversarial network.

Network (Bristol, England) 39320977
The rapid growth of cloud computing has led to the widespread adoption of heterogeneous virtualized environments, offering scalable and flexible resources to meet diverse user demands. However, the increasing complexity and variability in workload ch...
Algorithms Cloud Computing Generative Adversarial Networks Neural Networks, Computer
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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 39542428
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...
Adult Aged Deep Learning Female Generative Adversarial Networks Humans Liver Liver Diseases Liver Neoplasms Male Middle Aged Retrospective Studies Tomography, X-Ray Computed
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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 39037884
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...
Antiviral Agents Computational Biology Deep Learning Generative Adversarial Networks Humans Neural Networks, Computer Peptides
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Generative Adversarial Network Based Contrast Enhancement: Synthetic Contrast Brain Magnetic Resonance Imaging.

Academic radiology 39694785
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...
Adult Aged Brain Contrast Media Female Generative Adversarial Networks Humans Image Enhancement Magnetic Resonance Imaging Male Middle Aged Neural Networks, Computer Young Adult
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Temporal spiking generative adversarial networks for heading direction decoding.

Neural networks : the official journal of the International Neural Network Society 39693678
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...
Action Potentials Animals Generative Adversarial Networks Macaca mulatta Models, Neurological Neural Networks, Computer Neurons Parietal Lobe
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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 39480609
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 ...
Fontan Procedure Generative Adversarial Networks Humans Machine Learning Male Models, Cardiovascular Neural Networks, Computer
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Generative Adversarial Networks With Radiomics Supervision for Lung Lesion Generation.

IEEE transactions on bio-medical engineering 39208053
Data-driven methods for lesion generation are quickly emerging due to the need for realistic imaging targets for image quality assessment and virtual clinical trials. We proposed a generative adversarial network (GAN) architecture for conditional gen...
Algorithms Databases, Factual Generative Adversarial Networks Humans Lung Lung Neoplasms Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Radiomics Tomography, X-Ray Computed
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Generative Adversarial Network With Robust Discriminator Through Multi-Task Learning for Low-Dose CT Denoising.

IEEE transactions on medical imaging 39186436
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...
Algorithms Deep Learning Generative Adversarial Networks Humans Image Processing, Computer-Assisted Neural Networks, Computer Radiation Dosage Signal-To-Noise Ratio Tomography, X-Ray Computed
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A Multi-Perspective Self-Supervised Generative Adversarial Network for FS to FFPE Stain Transfer.

IEEE transactions on medical imaging 39283778
In clinical practice, frozen section (FS) images can be utilized to obtain the immediate pathological results of the patients in operation due to their fast production speed. However, compared with the formalin-fixed and paraffin-embedded (FFPE) imag...
Frozen Sections Generative Adversarial Networks Humans Image Processing, Computer-Assisted Paraffin Embedding Staining and Labeling Supervised Machine Learning
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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 39093671
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...
Algorithms Anisotropy Brain Generative Adversarial Networks Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Neural Networks, Computer
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