AIMC Topic: Image Processing, Computer-Assisted

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Implicit neural representation for medical image reconstruction.

Physics in medicine and biology Jun 11, 2025
Medical image reconstruction aims to generate high-quality images from incompletely sampled raw sensor data, which poses an ill-posed inverse problem. Traditional iterative reconstruction methods rely on prior information to empirically construct reg...
Image Processing, Computer-Assisted Diagnostic Imaging Humans Neural Networks, Computer
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Advancing artificial intelligence applicability in endoscopy through source-agnostic camera signal extraction from endoscopic images.

PloS one Jun 11, 2025
INTRODUCTION: Successful application of artificial intelligence (AI) in endoscopy requires effective image processing. Yet, the plethora of sources for endoscopic images, such as different processor-endoscope combinations or capsule endoscopy devices...
Humans Artificial Intelligence Algorithms Image Processing, Computer-Assisted Endoscopy Capsule Endoscopy
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A novel approach combining YOLO and DeepSORT for detecting and counting live fish in natural environments through video.

PloS one Jun 11, 2025
Applying Artificial Intelligence (AI) to the monitoring of live fish in natural environments represents a promising approach to the sustainable management of aquatic resources. Detecting and counting fish in water through video analysis is crucial fo...
Video Recording Coral Reefs Environmental Monitoring Fishes Artificial Intelligence Algorithms Animals Image Processing, Computer-Assisted
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A plaque recognition algorithm for coronary OCT images by Dense Atrous Convolution and attention mechanism.

PloS one Jun 10, 2025
Currently, plaque segmentation in Optical Coherence Tomography (OCT) images of coronary arteries is primarily carried out manually by physicians, and the accuracy of existing automatic segmentation techniques needs further improvement. To furnish eff...
Algorithms Coronary Artery Disease Deep Learning Coronary Vessels Image Processing, Computer-Assisted Humans Plaque, Atherosclerotic Tomography, Optical Coherence
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ADC-MambaNet: a lightweight U-shaped architecture with mamba and multi-dimensional priority attention for medical image segmentation.

Biomedical physics & engineering express Jun 9, 2025
Medical image segmentation is becoming a growing crucial step in assisting with disease detection and diagnosis. However, medical images often exhibit complex structures and textures, resulting in the need for highly complex methods. Particularly, wh...
Neural Networks, Computer Algorithms Humans Deep Learning Image Processing, Computer-Assisted
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Towards large nuclear imaging system optical simulations with optiGAN, a generative adversarial network.

Physics in medicine and biology Jun 9, 2025
Optical Monte Carlo (MC) simulations are essential for modeling light transport in radiation detectors used in nuclear imaging and high-energy physics. However, full-system simulations remain computationally prohibitive due to the need to track optic...
Monte Carlo Method Neural Networks, Computer Photons Image Processing, Computer-Assisted Generative Adversarial Networks
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AI-powered remote monitoring of brain responses to clear and incomprehensible speech via speckle pattern analysis.

Journal of biomedical optics Jun 9, 2025
SIGNIFICANCE: Functional magnetic resonance imaging provides high spatial resolution but is limited by cost, infrastructure, and the constraints of an enclosed scanner. Portable methods such as functional near-infrared spectroscopy and electroencepha...
Humans Image Processing, Computer-Assisted Young Adult Adult Deep Learning Speech Brain Neural Networks, Computer Male Female Artificial Intelligence
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Comparison of lesion segmentation performance in diffusion-weighted imaging and apparent diffusion coefficient images of stroke by artificial neural networks.

PloS one Jun 9, 2025
Stroke is the second leading cause of death, accounting for 11% of deaths worldwide. Comparing diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) images is important for stroke diagnosis, but most studies have focused on lesion...
Stroke Diffusion Magnetic Resonance Imaging Image Processing, Computer-Assisted Ischemic Stroke Male Humans Middle Aged Female Aged Neural Networks, Computer Aged, 80 and over Retrospective Studies
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Inconsistency of AI in intracranial aneurysm detection with varying dose and image reconstruction.

Scientific reports Jun 6, 2025
Scanner-related changes in data quality are common in medical imaging, yet monitoring their impact on diagnostic AI performance remains challenging. In this study, we performed standardized consistency testing of an FDA-cleared and CE-marked AI for t...
Radiation Dosage Tomography, X-Ray Computed Intracranial Aneurysm Phantoms, Imaging Image Processing, Computer-Assisted Humans Artificial Intelligence
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An efficient low-shot class-agnostic counting framework with hybrid encoder and iterative exemplar feature learning.

PloS one Jun 6, 2025
Few-shot learning techniques have enabled the rapid adaptation of a general AI model to various tasks using limited data. In this study, we focus on class-agnostic low-shot object counting, a challenging problem that aims to achieve accurate object c...
Image Processing, Computer-Assisted Machine Learning Algorithms Humans
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