AIMC Topic: Generative Adversarial Networks

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TCGAN: Temporal Convolutional Generative Adversarial Network for Fetal ECG Extraction Using Single-Channel Abdominal ECG.

IEEE journal of biomedical and health informatics May 6, 2025
Noninvasive fetal ECG (FECG) monitoring holds significant importance in ensuring the normal development of the fetus. Since FECG is usually submerged by maternal ECG (MECG) and background noise in abdominal ECG (AECG), it is challenging to exactly re...
Humans Neural Networks, Computer Abdomen Electrocardiography Signal Processing, Computer-Assisted Pregnancy Female Generative Adversarial Networks Fetus Fetal Monitoring
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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 May 6, 2025
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...
Generative Adversarial Networks Algorithms Brain Magnetic Resonance Imaging Anisotropy Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Unsupervised non-small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity-based discriminator.

Journal of applied clinical medical physics Apr 23, 2025
BACKGROUND: Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning-based automatic segmentation methods rely on manually annotated data for network training.
Neural Networks, Computer Algorithms Tomography, X-Ray Computed Humans Carcinoma, Non-Small-Cell Lung Deep Learning Unsupervised Machine Learning Generative Adversarial Networks Image Processing, Computer-Assisted Lung Neoplasms
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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....
Generative Adversarial Networks Signal-To-Noise Ratio Phantoms, Imaging Algorithms Animals Mice Positron-Emission Tomography Image Processing, Computer-Assisted Neural Networks, Computer
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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 Generative Adversarial Networks Endometrial Neoplasms Neural Networks, Computer Algorithms Female Humans
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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...
Ballistocardiography Generative Adversarial Networks Signal Processing, Computer-Assisted Heart Rate Humans Neural Networks, Computer Algorithms Electrocardiography
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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...
Humans Generative Adversarial Networks Brain Neural Networks, Computer Algorithms 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...
Generative Adversarial Networks Humans Pattern Recognition, Automated Imaging, Three-Dimensional Neural Networks, Computer Human Activities Image Processing, Computer-Assisted Algorithms Skeleton
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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...
Staining and Labeling Algorithms Generative Adversarial Networks Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted
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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...
Image Processing, Computer-Assisted Generative Adversarial Networks Neural Networks, Computer Humans Algorithms
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