AIMC Topic: Generative Adversarial Networks

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Complex conjugate removal in optical coherence tomography using phase aware generative adversarial network.

Journal of biomedical optics Feb 17, 2025
SIGNIFICANCE: Current methods for complex conjugate removal (CCR) in frequency-domain optical coherence tomography (FD-OCT) often require additional hardware components, which increase system complexity and cost. A software-based solution would provi...
Algorithms Animals Deep Learning Humans Skin Artifacts Phantoms, Imaging Image Processing, Computer-Assisted Mice Tomography, Optical Coherence Eye Generative Adversarial Networks
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Generative adversarial networks with fully connected layers to denoise PPG signals.

Physiological measurement Feb 11, 2025
The detection of arterial pulsating signals at the skin periphery with Photoplethysmography (PPG) are easily distorted by motion artifacts. This work explores the alternatives to the aid of PPG reconstruction with movement sensors (accelerometer and/...
Signal-To-Noise Ratio Generative Adversarial Networks Photoplethysmography Signal Processing, Computer-Assisted Heart Rate Humans Neural Networks, Computer
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Diffused Multi-scale Generative Adversarial Network for low-dose PET images reconstruction.

Biomedical engineering online Feb 9, 2025
PURPOSE: The aim of this study is to convert low-dose PET (L-PET) images to full-dose PET (F-PET) images based on our Diffused Multi-scale Generative Adversarial Network (DMGAN) to offer a potential balance between reducing radiation exposure and mai...
Positron-Emission Tomography Radiation Dosage Humans Generative Adversarial Networks Signal-To-Noise Ratio Neural Networks, Computer Image Processing, Computer-Assisted
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A Multi-Perspective Self-Supervised Generative Adversarial Network for FS to FFPE Stain Transfer.

IEEE transactions on medical imaging Feb 4, 2025
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...
Humans Frozen Sections Paraffin Embedding Generative Adversarial Networks Image Processing, Computer-Assisted Staining and Labeling Supervised Machine Learning
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Hybrid generative adversarial network based on frequency and spatial domain for histopathological image synthesis.

BMC bioinformatics Jan 27, 2025
BACKGROUND: Due to the complexity and cost of preparing histopathological slides, deep learning-based methods have been developed to generate high-quality histological images. However, existing approaches primarily focus on spatial domain information...
Humans Image Processing, Computer-Assisted Generative Adversarial Networks Neural Networks, Computer Algorithms Deep Learning
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A machine learning approach to real-time calculation of joint angles during walking and running using self-placed inertial measurement units.

Gait & posture Jan 26, 2025
BACKGROUND: Inter-segment joint angles can be obtained from inertial measurement units (IMUs); however, accurate 3D joint motion measurement, which requires sensor fusion and signal processing, sensor alignment with segments and joint axis calibratio...
Wearable Electronic Devices Female Running Movement Lower Extremity Adult Healthy Volunteers Humans Joints Generative Adversarial Networks Walking Gait Analysis Machine Learning Walking Speed Male
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Research of orthodontic soft tissue profile prediction based on conditional generative adversarial networks.

Journal of dentistry Jan 24, 2025
OBJECTIVE: This study constructed a new conditional generative adversarial network (CGAN) model to predict changes in lateral appearance following orthodontic treatment.
Deep Learning Anatomic Landmarks Cephalometry Face Orthodontics, Corrective Generative Adversarial Networks Young Adult Adult Male Humans Neural Networks, Computer Female
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Dual-domain Wasserstein Generative Adversarial Network with Hybrid Loss for Low-dose CT Imaging.

Physics in medicine and biology Jan 20, 2025
Low-dose computed tomography (LDCT) has gained significant attention in hospitals and clinics as a popular imaging modality for reducing the risk of x-ray radiation. However, reconstructed LDCT images often suffer from undesired noise and artifacts, ...
Generative Adversarial Networks Image Processing, Computer-Assisted Radiation Dosage Humans Neural Networks, Computer Tomography, X-Ray Computed
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Generative Adversarial Networks With Radiomics Supervision for Lung Lesion Generation.

IEEE transactions on bio-medical engineering Jan 15, 2025
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...
Radiographic Image Interpretation, Computer-Assisted Generative Adversarial Networks Algorithms Databases, Factual Tomography, X-Ray Computed Radiomics Lung Lung Neoplasms Humans Neural Networks, Computer
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Patch-based feature mapping with generative adversarial networks for auxiliary hip fracture detection.

Computers in biology and medicine Jan 10, 2025
BACKGROUND: Hip fractures are a significant public health issue, particularly among the elderly population. Pelvic radiographs (PXRs) play a crucial role in diagnosing hip fractures and are commonly used for their evaluation. Previous research has de...
Radiographic Image Interpretation, Computer-Assisted Hip Fractures Female Generative Adversarial Networks Humans Aged Male Neural Networks, Computer Algorithms
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