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Integrating Large Citation Datasets
No full textThis paper explores methods for building a comprehensive
citation graph using big data techniques to evaluate scientific impact
more accurately. Traditional citation metrics have limitations, and this
work investigates merging large citation datasets to create a more accurate picture. Challenges of big data, like inconsistent data formats and
lack of unique identifiers, are addressed through deduplication efforts,
resulting in a streamlined and reliable merged dataset with over 119
million records and 1.4 billion citations. We demonstrate that merging
large citation datasets builds a more accurate citation graph facilitating
a more robust evaluation of scientific impact
Efficient Rational Approximation of Optical Response Functions with the AAA Algorithm (Laser Photonics Rev. 18(11)/2024)
No full text3D Reconstruction of the Mandible from Panoramic Dental X-Ray Projections
No full textPanoramic radiography is a popular imaging technique in dental medicine. It omprehensively represents the entire jaw, including the mandible, maxilla, and teeth in a compact two-dimensional (2D) image. It offers several advantages over three-dimensional (3D) imaging, such as Cone Beam Computed Tomography (CBCT), including cost-effectiveness and reduced radiation exposure. However, its major drawback lies in its ambiguities in spatial distribution, leading to inaccuracies in linear measurements due to the dependency on the parameters used for generating the image. In this thesis, we propose a methodology for reconstructing a 3D anatomy of the mandible from a given 2D panoramic X-ray image. Our approach involves extracting information from the 2D scan, considering the projection geometry, and aiming to achieve a realistic spatial distribution. The methodology builds upon an existing intensity-based 2D-3D registration algorithm, which is modified to accommodate the unique geometric parameters of panoramic radiography. By employing a virtual X-ray setup, we generate a panoramic X-ray from a Statistical Shape and Intensity Model (SSIM) derived from 25 tetrahedral meshes. The intensity information for each mesh is extracted from CBCT scans representing jaw anatomies. To reconstruct the true mandible, the model is iteratively optimized by comparing the simulated X-ray with the original panoramic X-ray. We evaluate and establish the setup using synthetically generated panoramic X-rays from multiple mandibles obtained from CBCT scans. After analyzing the feasibility of this method, we conclude that 2D-3D registration for panoramic X-rays presents a challenging task, as the ambiguity of the 2D projection involved in panoramic X-ray imaging can result in varied 3D shape representations
Multi-species community platform for comparative neuroscience in teleost fish
No full textStudying neural mechanisms in complementary model organisms from different ecological niches in the same animal class can leverage the comparative brain analysis at the cellular level. To advance such a direction, we developed a unified brain atlas platform and specialized tools that allowed us to quantitatively compare neural structures in two teleost larvae, medaka (Oryzias latipes) and zebrafish (Danio rerio). Leveraging this quantitative approach we found that most brain regions are similar but some subpopulations are unique in each species. Specifically, we confirmed the existence of a clear dorsal pallial region in the telencephalon in medaka lacking in zebrafish. Further, our approach allows for extraction of differentially expressed genes in both species, and for quantitative comparison of neural activity at cellular resolution. The web-based and interactive nature of this atlas platform will facilitate the teleost community’s research and its easy extensibility will encourage contributions to its continuous expansion
Machine-learning driven design of metasurfaces: learn the physics and not the objective function
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