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ENTITY Image and video processing using multiple pipelines

Image and video processing using multiple pipelines

PulseAugur coverage of Image and video processing using multiple pipelines — every cluster mentioning Image and video processing using multiple pipelines across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_325121 ·

    New framework tracks concrete crack evolution across views and time

    Researchers have developed a new framework to track crack evolution in concrete structures, addressing the challenge of maintaining crack identity across different camera views and over time. This geometry-assisted, mor…

  2. TOOL · CL_317641 ·

    New self-supervised sonar imaging technique suppresses noise and blur

    Researchers have developed a novel self-supervised framework for enhancing multibeam imaging sonar data. This method jointly addresses speckle noise and system-induced blur without requiring clean ground truth images. B…

  3. TOOL · CL_280569 ·

    New ZAGNet model uses graph neural networks for lung ultrasound diagnosis

    Researchers have developed ZAGNet, a novel Zone-Aware Graph Neural Network designed for patient-level lung ultrasound diagnosis. This network addresses limitations in current AI methods by representing pathology finding…

  4. TOOL · CL_198314 ·

    AI research questions reliability of distance-based estimation in medical imaging representations

    A new research paper published on arXiv explores the reliability of distance-based estimation methods for AI-generated representations, particularly in the context of medical imaging. The study found that while disentan…

  5. TOOL · CL_167359 ·

    New framework streamlines patient-specific surgical registration using synthetic pretraining

    Researchers have developed a new framework for patient-specific 2D/3D registration, a crucial process for image-guided surgeries that aligns preoperative CT scans with intraoperative X-ray images. The proposed method ut…

  6. RESEARCH · CL_135293 ·

    ConRad framework enhances conformal prediction for medical radiomics

    Researchers have developed ConRad, a new framework for conformal prediction in radiomics that aims to improve the efficiency and reliability of measurements derived from medical images. ConRad addresses the issue of ove…