AIMC Topic: Generative Adversarial Networks

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[Cross modal translation of magnetic resonance imaging and computed tomography images based on diffusion generative adversarial networks].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Jun 25, 2025
To address the issues of difficulty in preserving anatomical structures, low realism of generated images, and loss of high-frequency image information in medical image cross-modal translation, this paper proposes a medical image cross-modal translati...
Humans Neural Networks, Computer Algorithms Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted Generative Adversarial Networks Brain Tomography, X-Ray Computed Image Processing, Computer-Assisted
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Generative adversarial networks in medical image reconstruction: A systematic literature review.

Computers in biology and medicine Jun 1, 2025
PURPOSE: Recent advancements in generative adversarial networks (GANs) have demonstrated substantial potential in medical image processing. Despite this progress, reconstructing images from incomplete data remains a challenge, impacting image quality...
Generative Adversarial Networks Image Processing, Computer-Assisted Humans Diagnostic Imaging Neural Networks, Computer
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Application of generative adversarial networks in the restoration of blurred optical coherence tomography images caused by optical media opacity in eyes.

BMJ open ophthalmology May 26, 2025
PURPOSE: To assess the application of generative adversarial networks (GANs) to restore the blurred optical coherence tomography (OCT) images caused by optical media opacity in eyes.
Neural Networks, Computer Algorithms Female Humans Male Middle Aged Tomography, Optical Coherence Aged Adult Cross-Sectional Studies Signal-To-Noise Ratio Macula Lutea Generative Adversarial Networks Cataract Extraction Cataract
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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) May 1, 2025
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...
Generative Adversarial Networks Neural Networks, Computer Algorithms Cloud Computing
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Multisequence 3-T Image Synthesis from 64-mT Low-Field-Strength MRI Using Generative Adversarial Networks in Multiple Sclerosis.

Radiology Apr 1, 2025
Background Portable low-field-strength (64-mT) MRI scanners show promise for increasing access to neuroimaging for clinical and research purposes; however, these devices produce lower-quality images than conventional high-field-strength scanners. Pur...
Magnetic Resonance Imaging Male Multiple Sclerosis Generative Adversarial Networks Middle Aged Neuroimaging Humans Deep Learning Female Brain Adult
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Improved generative adversarial networks model for movie dance generation.

PloS one Jan 1, 2025
To address the challenges of innovation and efficiency in film choreography, this study proposes a dance generation model based on the generative adversarial networks. The model is trained using the AIST++ dance motion dataset, incorporating data fro...
Generative Adversarial Networks Algorithms Video Recording Signal-To-Noise Ratio Music Dancing Motion Pictures Humans Neural Networks, Computer
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A super resolution generative adversarial networks and partition-based adaptive filtering technique for detect and remove flickers in digital color images.

PloS one Jan 1, 2025
Eliminating flickering from digital images captured by cameras equipped with a rolling shutter is of paramount importance in computer vision applications. The ripple effect observed in an individual image is a consequence of the non-synchronized expo...
Artifacts Generative Adversarial Networks Deep Learning Humans Image Processing, Computer-Assisted Color Neural Networks, Computer Algorithms
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The development of deep convolutional generative adversarial network to synthesize odontocetes' clicks.

The Journal of the Acoustical Society of America Jan 1, 2025
Odontocetes are capable of dynamically changing their echolocation clicks to efficiently detect targets, and learning their clicking strategy can facilitate the design of man-made detecting signals. In this study, we developed deep convolutional gene...
Neural Networks, Computer Animals Acoustics Vocalization, Animal Sound Spectrography Porpoises Echolocation Bottle-Nosed Dolphin Deep Learning Generative Adversarial Networks Signal Processing, Computer-Assisted
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Resolution-enhanced quantitative phase imaging of blood platelets using a generative adversarial network.

Journal of the Optical Society of America. A, Optics, image science, and vision Nov 1, 2024
We developed a new method to enhance the resolution of blood platelet aggregates imaged via quantitative phase imaging (QPI) using a Pix2Pix generative adversarial network (GAN). First, 1 µm polystyrene beads were imaged with low- and high-resolution...
Humans Neural Networks, Computer Generative Adversarial Networks Image Processing, Computer-Assisted Blood Platelets Quantitative Phase Imaging
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Simulating Accelerometer Signals of Parkinson's Gait Using Generative Adversarial Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Wearable technologies have been demonstrated to have value in the objective assessment of Parkinson's disease. However, certain symptoms such as freezing of gait are challenging to monitor using current approaches. Data augmentation, wherein syntheti...
Signal Processing, Computer-Assisted Machine Learning Humans Accelerometry Gait Neural Networks, Computer Algorithms Generative Adversarial Networks Parkinson Disease
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