AIMC Topic: Image Processing, Computer-Assisted

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Sceptic: pseudotime analysis for time-series single-cell sequencing and imaging data.

Genome biology Jul 17, 2025
Several computational methods have been developed to construct single-cell pseudotime embeddings for extracting the temporal order of transcriptional cell states from time-series scRNA-seq datasets. However, existing methods suffer from low predictiv...
Sequence Analysis, RNA Support Vector Machine Single-Cell Analysis Image Processing, Computer-Assisted Computational Biology Humans Algorithms
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2D-3D deformable image registration of histology slide and micro-CT with DISA-based initialization.

Scientific reports Jul 17, 2025
Recent developments in the registration of histology and micro-computed tomography (µCT) have broadened the perspective of pathological applications such as virtual histology based on µCT. This topic remains challenging because of the low image quali...
Humans Algorithms Imaging, Three-Dimensional Image Processing, Computer-Assisted Palatine Tonsil X-Ray Microtomography
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Task based evaluation of sparse view CT reconstruction techniques for intracranial hemorrhage diagnosis using an AI observer model.

Scientific reports Jul 17, 2025
Sparse-view computed tomography (CT) holds promise for reducing radiation exposure and enabling novel system designs. Traditional reconstruction algorithms, including Filtered Backprojection (FBP) and Model-Based Iterative Reconstruction (MBIR), ofte...
Signal-To-Noise Ratio Tomography, X-Ray Computed Artificial Intelligence Deep Learning Image Processing, Computer-Assisted Humans Algorithms ROC Curve Radiographic Image Interpretation, Computer-Assisted Brain Intracranial Hemorrhages
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Deep learning models for deriving optimised measures of fat and muscle mass from MRI.

Scientific reports Jul 17, 2025
Fat and muscle mass are potential biomarkers of wellbeing and disease in oncology, but clinical measurement methods vary considerably. Here we evaluate the accuracy, precision and ability to track change for multiple deep learning (DL) models that qu...
Adipose Tissue Intra-Abdominal Fat Subcutaneous Fat Male Middle Aged Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Muscle, Skeletal Female Reproducibility of Results Adult Humans Neural Networks, Computer
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Deep Learning-Based Precision Cropping of Eye Regions in Strabismus Photographs: Algorithm Development and Validation Study for Workflow Optimization.

Journal of medical Internet research Jul 17, 2025
BACKGROUND: Traditional ocular gaze photograph preprocessing, relying on manual cropping and head tilt correction, is time-consuming and inconsistent, limiting artificial intelligence (AI) model development and clinical application.
Humans Algorithms Prospective Studies Cross-Sectional Studies Male Middle Aged Retrospective Studies Female Adult Strabismus Photography Eye Deep Learning Image Processing, Computer-Assisted Workflow
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FSS-ULivR: a clinically-inspired few-shot segmentation framework for liver imaging using unified representations and attention mechanisms.

Journal of cancer research and clinical oncology Jul 17, 2025
Precise liver segmentation is critical for accurate diagnosis and effective treatment planning, serving as a foundation for medical image analysis. However, existing methods struggle with limited labeled data, poor generalizability, and insufficient ...
Liver Neoplasms Humans Image Processing, Computer-Assisted Algorithms Liver Tomography, X-Ray Computed
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Frequency domain manipulation of multiple copy-move forgery in digital image forensics.

PloS one Jul 17, 2025
Copy move forgery is a type of image forgery in which a portion of the original image is copied and pasted in a new location on the same image. The consistent illumination and noise pattern make this kind of forgery more difficult to detect. In copy-...
Humans Algorithms Deep Learning Image Processing, Computer-Assisted Wavelet Analysis Forensic Sciences
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Comparison of synthetic LGE with optimal inversion time vs. conventional LGE via representation learning: Quantification of Bias in Population Analysis.

Computers in biology and medicine Jul 16, 2025
PURPOSE: Late Gadolinium Enhancement (LGE) images are crucial elements of CMR protocols for evaluating myocardial infarct (MI) severity and size. However, these images rely on signal intensity changes and manual inversion time (TI) settings, leading ...
Female Aged Male Humans Machine Learning Retrospective Studies Magnetic Resonance Imaging ST Elevation Myocardial Infarction Middle Aged Myocardial Infarction Image Processing, Computer-Assisted Gadolinium Contrast Media
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Image quality and radiation dose of reduced-dose abdominopelvic computed tomography (CT) with silver filter and deep learning reconstruction.

Scientific reports Jul 16, 2025
To assess the image quality and radiation dose between reduced-dose CT with deep learning reconstruction (DLR) using SilverBeam filter and standard dose with iterative reconstruction (IR) in abdominopelvic CT. In total, 182 patients (mean age ± stand...
Abdomen Humans Radiographic Image Interpretation, Computer-Assisted Middle Aged Silver Tomography, X-Ray Computed Radiation Dosage Deep Learning Pelvis Radiography, Abdominal Female Image Processing, Computer-Assisted Aged Adult Male
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Multifunctional cells based neural architecture search for plant images classification.

Scientific reports Jul 16, 2025
To develop a high-performance convolutional neural network (CNN) model for plant image classification automatically, we propose a neural architecture search (NAS) method tailored to multifunctional cells (MFC), termed MFC-NAS. Initially, a search spa...
Plants Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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