Search Results - MESH: Automatic Data Processing

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  1. 1

    MeSH Now: automatic MeSH indexing at PubMed scale via learning to rank by Mao, Yuqing, Lu, Zhiyong

    ISSN: 2041-1480, 2041-1480
    Published: London BioMed Central 17.04.2017
    Published in Journal of biomedical semantics (17.04.2017)
    “… In order to advance the state of the art in automatic MeSH indexing, a community-wide shared task called BioASQ was recently organized…”
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    Journal Article
  2. 2

    Evaluating current automatic de-identification methods with Veteran’s health administration clinical documents by Ferrández, Oscar, South, Brett R, Shen, Shuying, Friedlin, F Jeffrey, Samore, Matthew H, Meystre, Stéphane M

    ISSN: 1471-2288, 1471-2288
    Published: London BioMed Central 27.07.2012
    Published in BMC medical research methodology (27.07.2012)
    “…Background The increased use and adoption of Electronic Health Records (EHR) causes a tremendous growth in digital information useful for clinicians,…”
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    Journal Article
  3. 3

    Remodeling of mannequins based on automatic binding of mesh to anthropometric parameters by Li, Xihang, Li, Guiqin, Li, Tiancai, Lv, Jianping, Mitrouchev, Peter

    ISSN: 0178-2789, 1432-2315
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2023
    Published in The Visual computer (01.12.2023)
    “…, a method for creating 3D mannequins based on automatic binding of mesh to anthropometric parameters is presented…”
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    Journal Article
  4. 4

    An automatic service for the personalization of ventricular cardiac meshes by Lamata, Pablo, Sinclair, Matthew, Kerfoot, Eric, Lee, Angela, Crozier, Andrew, Blazevic, Bojan, Land, Sander, Lewandowski, Adam J, Barber, David, Niederer, Steve, Smith, Nic

    ISSN: 1742-5662, 1742-5662
    Published: England 06.02.2014
    Published in Journal of the Royal Society interface (06.02.2014)
    “… We present a fully automatic service for the geometrical personalization of cardiac ventricular meshes with high-order interpolation from segmented images…”
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    Journal Article
  5. 5

    A Novel OpenMVS-Based Texture Reconstruction Method Based on the Fully Automatic Plane Segmentation for 3D Mesh Models by Li, Shenhong, Xiao, Xiongwu, Guo, Bingxuan, Zhang, Lin

    ISSN: 2072-4292, 2072-4292
    Published: Basel MDPI AG 28.11.2020
    Published in Remote sensing (Basel, Switzerland) (28.11.2020)
    “… This paper fully utilizes the planar structure information of the mesh model and the visual information of the 3D triangle face on the image and proposes an improved, faster, and high-quality texture…”
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    Journal Article
  6. 6

    Hybrid data capture for monitoring patients on highly active antiretroviral therapy (HAART) in urban Botswana by BUSSMANN, Hermann, WESTER, C. William, NDWAPI, Ndwapi, VANDERWARKER, Chris, GAOLATHE, Tendani, TIRELO, Geoffrey, AVALOS, Ava, MOFFAT, Howard, MARLINK, Richard G

    ISSN: 0042-9686, 1564-0604
    Published: Genève Organisation mondiale de la santé 01.02.2006
    Published in Bulletin of the World Health Organization (01.02.2006)
    “… While computer-aided documentation and data storage are indispensable for any large programme, several important issues need to be addressed including which data are to be collected, who collects…”
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    Journal Article
  7. 7

    Full-automatic high-precision scene 3D reconstruction method with water-area intelligent complementation and mesh optimization for UAV images by Guo, Bingxuan, Ge, Yingwei, Xiao, Xiongwu, Wang, Chao, Gong, Jianya, Li, Deren

    ISSN: 1753-8947, 1753-8955, 1753-8955
    Published: Abingdon Taylor & Francis 31.12.2024
    Published in International journal of digital earth (31.12.2024)
    “… However, due to challenges such as water-area matching difficulties and issues like data redundancy and insufficient observations, existing full-automatic 3D modeling methods often result in water…”
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    Journal Article
  8. 8

    Parallel AFMPB solver with automatic surface meshing for calculation of molecular solvation free energy by Zhang, Bo, Peng, Bo, Huang, Jingfang, Pitsianis, Nikos P., Sun, Xiaobai, Lu, Benzhuo

    ISSN: 0010-4655, 1879-2944
    Published: Elsevier B.V 01.05.2015
    Published in Computer physics communications (01.05.2015)
    “…) A tool is embedded for automatic molecular VDW/SAS surface mesh generation, leaving the requirement for a mesh file at input optional; (3…”
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    Journal Article
  9. 9

    Development and validation of a semi-automatic landmark extraction method for mesh morphing by Wu, Jun, Cai, Meiling, Li, Junyi, Cao, Libo, Xu, Liangliang, Li, Na, Hu, Jingwen

    ISSN: 1350-4533, 1873-4030, 1873-4030
    Published: England Elsevier Ltd 01.08.2019
    Published in Medical engineering & physics (01.08.2019)
    “…•A semi-automatic landmark extraction method is proposed.•The application of the method can effectively reduce the time in the process of developing parametric finite element models…”
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    Journal Article
  10. 10

    Deep learning of PDE correction and mesh adaption without automatic differentiation by Ma, Shaocong, Diffenderfer, James, Kailkhura, Bhavya, Zhou, Yi

    ISSN: 0885-6125, 1573-0565
    Published: New York Springer US 01.03.2025
    Published in Machine learning (01.03.2025)
    “…Deep learning has shown promise in solving partial differential equations (PDEs) in computational fluid dynamics, particularly for enhancing solutions from coarse-mesh simulations…”
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    Journal Article
  11. 11

    AWSD: An Aircraft Wing Dataset Created by an Automatic Workflow for Data Mining in Geometric Processing by Su, Xiang, Li, Nan, Hu, Yuedi, Li, Haisheng

    ISSN: 1526-1506, 1526-1492, 1526-1506
    Published: Henderson Tech Science Press 2023
    “…This paper introduces an aircraft wing simulation data set (AWSD) created by an automatic workflow based on creating models, meshing, simulating the wing flight flow field solution, and parameterizing solution results…”
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    Journal Article
  12. 12

    Study of a CART-AFT method for automatic generation of unstructured meshes by Junjie, Gao, Wenting, Zhou, Wei, Qian

    ISSN: 2693-289X
    Published: IEEE 14.03.2025
    “…), a CART-AFT method for automatic generation of unstructured meshes is proposed, and a CART model suitable for mesh data processing is designed, which is applied to predict the generation mode and new…”
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    Conference Proceeding
  13. 13

    TinyAD: Automatic Differentiation in Geometry Processing Made Simple by Schmidt, P., Born, J., Bommes, D., Campen, M., Kobbelt, L.

    ISSN: 0167-7055, 1467-8659
    Published: Oxford Blackwell Publishing Ltd 01.08.2022
    Published in Computer graphics forum (01.08.2022)
    “…Non‐linear optimization is essential to many areas of geometry processing research…”
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    Journal Article
  14. 14

    VOLT: a novel open-source pipeline for automatic segmentation of endolymphatic space in inner ear MRI by Gerb, J., Ahmadi, S. A., Kierig, E., Ertl-Wagner, B., Dieterich, M., Kirsch, V.

    ISSN: 0340-5354, 1432-1459, 1432-1459
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2020
    Published in Journal of neurology (01.12.2020)
    “… Here, we introduce a novel tool for automatic volumetric segmentation of the endolymphatic space (ELS…”
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    Journal Article
  15. 15

    Fast automatic camera network calibration through human mesh recovery by Garau, Nicola, De Natale, Francesco G. B., Conci, Nicola

    ISSN: 1861-8200, 1861-8219
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2020
    Published in Journal of real-time image processing (01.12.2020)
    “… In this paper we present an unsupervised and automatic framework for the estimation of the extrinsic parameters of a camera network, which leverages on optimised 3D human mesh recovery from a single…”
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    Journal Article
  16. 16

    Automatic Conversion of Mesh Animations into Skeleton-based Animations by De Aguiar, Edilson, Theobalt, Christian, Thrun, Sebastian, Seidel, Hans-Peter

    ISSN: 0167-7055, 1467-8659
    Published: Oxford, UK Blackwell Publishing Ltd 01.04.2008
    Published in Computer graphics forum (01.04.2008)
    “…‐processing and modification of mesh animations. To bridge this gap between the mesh‐based and the skeletal paradigm, we propose a new method that automatically extracts…”
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    Journal Article
  17. 17

    Deformable mesh registration for the validation of automatic target localization algorithms by Robertson, Scott, Weiss, Elisabeth, Hugo, Geoffrey D.

    ISSN: 0094-2405, 2473-4209, 2473-4209, 0094-2405
    Published: United States American Association of Physicists in Medicine 01.07.2013
    Published in Medical physics (Lancaster) (01.07.2013)
    “…Purpose: To evaluate deformable mesh registration (DMR) as a tool for validating automatic target registration algorithms used during image-guided radiation therapy. Methods…”
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    Journal Article
  18. 18

    Design and Implementation of an Automatic Mesh Generation System for Transformer Simulation by Liu, Jun, Gao, Meng, Shi, Weizhan, Chen, Peilong, Zhuo, Ran, Xu, Kui, Zhao, Sicheng, Li, Kun, Xu, Shurong

    Published: IEEE 22.11.2024
    “… In this paper, an automatic mesh generation system based on Gmsh and C++ is proposed, which is designed for transformer simulation…”
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    Conference Proceeding
  19. 19

    Sometimes the apple does fall far from the tree: a case study on automatic indexing precision errors in PubMed by Wilson, Paije

    ISSN: 1536-5050, 1558-9439, 1558-9439
    Published: United States University Library System, University of Pittsburgh 23.10.2025
    Published in Journal of the Medical Library Association (23.10.2025)
    “…). In short, how well does automatic indexing compare [figurative] apples to [literal] apples?  Methods: 1,705 MEDLINE records automatically indexed with the MeSH term…”
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    Journal Article
  20. 20

    An Attentive Dual-Encoder Framework Leveraging Multimodal Visual and Semantic Information for Automatic OSAHS Diagnosis by Wei, Yingchen, Qiu, Xihe, Tan, Xiaoyu, Huang, Jingjing, Chu, Wei, Xu, Yinghui, Qi, Yuan

    ISSN: 2379-190X
    Published: IEEE 06.04.2025
    “… The model balances data using randomOverSampler (ROS), extracts key facial features with attention grids, and converts basic physiological data into meaningful text…”
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    Conference Proceeding