AIMC Topic: Image Processing, Computer-Assisted

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Learning contrast and content representations for synthesizing magnetic resonance image of arbitrary contrast.

Medical image analysis May 23, 2025
Magnetic Resonance Imaging (MRI) produces images with different contrasts, providing complementary information for clinical diagnoses and research. However, acquiring a complete set of MRI sequences can be challenging due to limitations such as lengt...
Humans Machine Learning Algorithms Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Magnetic Resonance Imaging
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EnsembleEdgeFusion: advancing semantic segmentation in microvascular decompression imaging with innovative ensemble techniques.

Scientific reports May 23, 2025
Semantic segmentation involves an imminent part in the investigation of medical images, particularly in the domain of microvascular decompression, where publicly available datasets are scarce, and expert annotation is demanding. In response to this c...
Deep Learning Image Processing, Computer-Assisted Semantics Microvessels Bayes Theorem Microvascular Decompression Surgery Humans Algorithms
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Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells.

PLoS computational biology May 23, 2025
Deep learning-based methods for identifying and tracking cells within microscopy images have revolutionized the speed and throughput of data analysis. These methods for analyzing biological and medical data have capitalized on advances from the broad...
Neural Networks, Computer Algorithms Microscopy Deep Learning Image Processing, Computer-Assisted Cell Division Humans Computational Biology Cell Tracking
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Decoding split-frequency representation for cross-scale tracking.

Neural networks : the official journal of the International Neural Network Society May 22, 2025
Learning tailored target representations for tracking is a promising direction in visual object tracking. Most state-of-the-art methods utilize autoencoders to generate representations by reconstructing the target's appearance. However, these reconst...
Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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Imputing single-cell protein abundance in multiplex tissue imaging.

Nature communications May 22, 2025
Multiplex tissue imaging enables single-cell spatial proteomics and transcriptomics but remains limited by incomplete molecular profiling, tissue loss, and probe failure. Here, we apply machine learning to impute single-cell protein abundance using m...
Image Processing, Computer-Assisted Proteomics Machine Learning Female Deep Learning Single-Cell Analysis Breast Neoplasms Humans
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EFCRFNet: A novel multi-scale framework for salient object detection.

PloS one May 22, 2025
Salient Object Detection (SOD) is a fundamental task in computer vision, aiming to identify prominent regions within images. Traditional methods and deep learning-based models often encounter challenges in capturing crucial information in complex sce...
Humans Algorithms Deep Learning Image Processing, Computer-Assisted Pattern Recognition, Automated
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Dynamic Multi-scale Feature Integration Network for unsupervised MR-CT synthesis.

Neural networks : the official journal of the International Neural Network Society May 21, 2025
Unsupervised MR-CT synthesis presents a significant opportunity to reduce radiation exposure from CT scans and lower costs by eliminating the need for both MR and CT imaging. However, many existing unsupervised methods face limitations in capturing d...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Unsupervised Machine Learning Magnetic Resonance Imaging Algorithms Brain Humans Neural Networks, Computer
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A Complete Transfer Learning-Based Pipeline for Discriminating Between Select Pathogenic Yeasts from Microscopy Photographs.

Pathogens (Basel, Switzerland) May 21, 2025
Pathogenic yeasts are an increasing concern in healthcare, with species like often displaying drug resistance and causing high mortality in immunocompromised patients. The need for rapid and accessible diagnostic methods for accurate yeast identific...
Humans Neural Networks, Computer Machine Learning Image Processing, Computer-Assisted Microscopy Yeasts Candida Photography
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A generative adversarial network-based accurate masked face recognition model using dual scale adaptive efficient attention network.

Scientific reports May 21, 2025
Masked identification of faces is necessary for authentication purposes. Face masks are frequently utilized in a wide range of professions and sectors including public safety, health care, schooling, catering services, production, sales, and shipping...
Generative Adversarial Networks Masks Facial Recognition Deep Learning Image Processing, Computer-Assisted Face Biometric Identification Humans Automated Facial Recognition Neural Networks, Computer
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Artificial intelligence (AI)-driven morphological assessment of zebrafish larvae for developmental toxicity chemical screening.

Aquatic toxicology (Amsterdam, Netherlands) May 20, 2025
Screening chemicals using the zebrafish embryo developmental toxicity assay requires visual assessment of larval morphological changes based on images by experienced screeners. The process is time-consuming and prone to subjectivity. However, deep le...
Larva Toxicity Tests Image Processing, Computer-Assisted Embryo, Nonmammalian Animals Neural Networks, Computer Water Pollutants, Chemical Zebrafish Deep Learning Artificial Intelligence Embryonic Development
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