Showing 221 - 231 results of 231 for search '(( python code implementation ) OR ( python from implementing ))', query time: 0.35s Refine Results
  1. 221

    Table 3_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx by Shi Qiu (425335)

    Published 2025
    “…Patients underwent 3T MRI scans with T1, T2, and contrast-enhanced (DCE) sequences. Imaging data from four medical centers were standardized through preprocessing steps, including intensity normalization, registration, and motion correction. …”
  2. 222

    Table 2_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx by Shi Qiu (425335)

    Published 2025
    “…Patients underwent 3T MRI scans with T1, T2, and contrast-enhanced (DCE) sequences. Imaging data from four medical centers were standardized through preprocessing steps, including intensity normalization, registration, and motion correction. …”
  3. 223

    Table 1_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx by Shi Qiu (425335)

    Published 2025
    “…Patients underwent 3T MRI scans with T1, T2, and contrast-enhanced (DCE) sequences. Imaging data from four medical centers were standardized through preprocessing steps, including intensity normalization, registration, and motion correction. …”
  4. 224

    Data Sheet 1_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx by Shi Qiu (425335)

    Published 2025
    “…Patients underwent 3T MRI scans with T1, T2, and contrast-enhanced (DCE) sequences. Imaging data from four medical centers were standardized through preprocessing steps, including intensity normalization, registration, and motion correction. …”
  5. 225

    CNG-ARCO-RADAR.pdf by Alfonso Ladino (21447002)

    Published 2025
    “…This approach uses a suite of Python libraries, including Xarray (Xarray-Datatree), Xradar, and Zarr, to implement a hierarchical tree-like data model. …”
  6. 226

    “Genie Replication Package: Resolution of Kryptos K4 via Berlin Clock Route and Substitution Funnel” by Alan Glanz (22109698)

    Published 2025
    “…</li></ul></li></ol><h3>Contributions</h3><ul><li>Provides a <b>self-contained Python package</b> enabling independent replication and stress-testing of the solution.…”
  7. 227

    <b>Altered cognitive processes shape tactile perception in autism.</b> (data) by Ourania Semelidou (19178362)

    Published 2025
    “…</p><p dir="ltr">The perceptual decision-making data were collected from 5 different cohorts of mice at different time-points during their active phase of the day. …”
  8. 228

    Core data by Baoqiang Chen (21099509)

    Published 2025
    “…</p><p><br></p><p dir="ltr">For the 5′ UTR library, we developed a Python script to extract sequences and Unique Molecular Identifiers (UMIs) from the FASTQ files. …”
  9. 229

    Mean Annual Habitat Quality and Its Driving Variables in China (1990–2018) by ChenXi Zhu (21374876)

    Published 2025
    “…</p><p dir="ltr">(HQ: Habitat Quality; CZ: Climate Zone; FFI: Forest Fragmentation Index; GPP: Gross Primary Productivity; Light: Nighttime Lights; PRE: Mean Annual Precipitation Sum; ASP: Aspect; RAD: Solar Radiation; SLOPE: Slope; TEMP: Mean Annual Temperature; SM: Soil Moisture)</p><p dir="ltr"><br>A Python script used for modeling habitat quality, including mean encoding of the categorical variable climate zone (CZ), multicollinearity testing using Variance Inflation Factor (VIF), and implementation of four machine learning models to predict habitat quality.…”
  10. 230

    Landscape Change Monitoring System (LCMS) Conterminous United States Cause of Change (Image Service) by U.S. Forest Service (17476914)

    Published 2025
    “…Scikit-learn: Machine Learning in Python. In Journal of Machine Learning Research (Vol. 12, pp. 2825-2830).Pengra, B. …”
  11. 231

    Mapping Policy Coherence in National UK Food Systems (2008– 2024): Analysing the Integration of Climate Change Mitigation and Adaptation Strategies, LEAP 2025 conference, Oxford by Ronja Teschner (20974180)

    Published 2025
    “…</p><p dir="ltr">This study aims to:</p><p dir="ltr">1) Identify and map UK national food policies regarding climate change mitigation and adaption strategies from 2008 - 2024.</p><p dir="ltr">2) Highlight departments responsible for publication, thematic areas addressed in the policies, policy objectives and implementation strategies.…”