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...
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...
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...
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...
Robust Bayesian brain extraction by integrating structural subspace-based spatial prior into deep neural networks.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jun 9, 2025
Accurate and robust brain extraction, or skull stripping, is essential for studying brain development, aging, and neurological disorders. However, brain images exhibit substantial data heterogeneity due to differences in contrast and geometric charac...
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...
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...
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...
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...
Physics-informed neural networks for denoising high b-value diffusion-weighted images.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jun 7, 2025
Diffusion-weighted imaging (DWI) is widely applied in tumor diagnosis by measuring the diffusion of water molecules. To increase the sensitivity to tumor identification, faithful high b-value DWI images are expected by setting a stronger strength of ...
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