AIMC Topic: Generative Adversarial Networks

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Utilizing Pix2Pix conditional generative adversarial networks to recover missing data in preclinical PET scanner sinogram gaps.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Apr 14, 2025
BACKGROUND: The presence of a gap between adjacent detector blocks in Positron Emission Tomography (PET) scanners introduces a partial loss of projection data, which can degrade the image quality and quantitative accuracy of reconstructed PET images....
Algorithms Animals Image Processing, Computer-Assisted Neural Networks, Computer Signal-To-Noise Ratio Phantoms, Imaging Generative Adversarial Networks Mice Positron-Emission Tomography
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ECP-GAN: Generating Endometrial Cancer Pathology Images and Segmentation Labels via Two-Stage Generative Adversarial Networks.

Annals of surgical oncology Mar 17, 2025
BACKGROUND: Endometrial cancer is one of the most common tumors of the female reproductive system and ranks third in the world list of gynecological malignancies that cause death. However, due to the privacy and complexity of pathology images, it is ...
Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Endometrial Neoplasms Algorithms Female Generative Adversarial Networks Humans Neural Networks, Computer
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Reconstruction of ECG from ballistocardiogram using generative adversarial networks with attention.

Biomedical physics & engineering express Mar 12, 2025
Electrocardiogram (ECG) is widely used to provide early warning signals for cardiovascular diseases. However, traditional twelve-lead ECG monitoring methods and smartwatch-based home solutions are unable to achieve daily long-term monitoring. Therefo...
Generative Adversarial Networks Algorithms Heart Rate Electrocardiography Ballistocardiography Signal Processing, Computer-Assisted Humans Neural Networks, Computer
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DGEDDGAN: A dual-domain generator and edge-enhanced dual discriminator generative adversarial network for MRI reconstruction.

Magnetic resonance imaging Mar 8, 2025
Magnetic resonance imaging (MRI) as a critical clinical tool in medical imaging, requires a long scan time for producing high-quality MRI images. To accelerate the speed of MRI while reconstructing high-quality images with sharper edges and fewer ali...
Neural Networks, Computer Algorithms Brain Humans Generative Adversarial Networks Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Skeleton Reconstruction Using Generative Adversarial Networks for Human Activity Recognition Under Occlusion.

Sensors (Basel, Switzerland) Mar 4, 2025
Recognizing human activities from motion data is a complex task in computer vision, involving the recognition of human behaviors from sequences of 3D motion data. These activities encompass successive body part movements, interactions with objects, o...
Human Activities Skeleton Humans Imaging, Three-Dimensional Generative Adversarial Networks Image Processing, Computer-Assisted Neural Networks, Computer Pattern Recognition, Automated Algorithms
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Deeply supervised two stage generative adversarial network for stain normalization.

Scientific reports Feb 27, 2025
The color variations present in histopathological images pose a significant challenge to computational pathology and, consequently, negatively affect the performance of certain pathological image analysis methods, especially those based on deep learn...
Image Processing, Computer-Assisted Algorithms Staining and Labeling Deep Learning Humans Generative Adversarial Networks Neural Networks, Computer
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Architecture Knowledge Distillation for Evolutionary Generative Adversarial Network.

International journal of neural systems Feb 19, 2025
Generative Adversarial Networks (GANs) are effective for image generation, but their unstable training limits broader applications. Additionally, neural architecture search (NAS) for GANs with one-shot models often leads to insufficient subnet traini...
Generative Adversarial Networks Humans Algorithms Neural Networks, Computer Image Processing, Computer-Assisted
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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...
Humans Phantoms, Imaging Algorithms Eye Generative Adversarial Networks Skin Image Processing, Computer-Assisted Animals Artifacts Mice Deep Learning Tomography, Optical Coherence
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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 Processing, Computer-Assisted Heart Rate Humans Neural Networks, Computer Signal-To-Noise Ratio Photoplethysmography Generative Adversarial Networks
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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...
Humans Neural Networks, Computer Positron-Emission Tomography Radiation Dosage Image Processing, Computer-Assisted Signal-To-Noise Ratio Generative Adversarial Networks
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