eess.IV
PulseAugur coverage of eess.IV — every cluster mentioning eess.IV across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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New taxonomy organizes methods for generating 3D CT images
Researchers have developed a new taxonomy to categorize methods for generating 3D Computed Tomography (CT) images. This framework organizes existing approaches based on the type of external knowledge used, the paradigm …
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Endo-NeRF++ enhances surgical scene reconstruction with uncertainty awareness
Researchers have developed Endo-NeRF++, an advanced neural rendering framework designed to improve the reconstruction of dynamic surgical scenes. This new system addresses challenges like tissue deformation, occlusions,…
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AI reconstructs 3D surgical scenes from microscope images
Researchers have developed a method to reconstruct millimeter-range 3D surfaces of neurosurgical operative exposures using standard monocular operating-microscope images and microscope pose data. The technique leverages…
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AI model enables ECG-free coronary roadmapping for PCI
Researchers have developed a novel framework for Dynamic Coronary Roadmapping (DRM) that eliminates the need for electrocardiography (ECG) during percutaneous coronary intervention (PCI). This new method utilizes spatio…
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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…
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New methods improve signal recovery from limited measurements
Researchers have developed new methods to improve the recovery of unknown signals from limited amplitude-only measurements, a complex inverse problem. By incorporating various image priors, they demonstrated that accura…