World's Best Scientists 2026 revealed!
Machine Learning for Biomedical Imaging
H-index 11

Machine Learning for Biomedical Imaging

2766-905X

Published by: Machine Learning for Biomedical Imaging

https://www.melba-journal.org/

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 553 49 53 10

Additional Metrics

Number of Best Scientists*: 75
Documents by Best Scientists*: 55
Top 100 Ranked Scientists*: 2
SCIMAGO H-index:
SCIMAGO SJR:
Impact Factor: N/A

Top Publications

  • Detecting Outliers with Foreign Patch Interpolation

    (2020)
    59 Citations
  • A review and experimental evaluation of deep learning methods for MRI reconstruction

    (2021)
    51 Citations
  • Learning the Effect of Registration Hyperparameters with HyperMorph

    Unknown

    (2022)
    50 Citations
  • QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results

    (2021)
    48 Citations
  • Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient

    (2021)
    44 Citations
  • Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis

    (2020)
    27 Citations
  • Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization

    (2021)
    21 Citations
  • Deep Learning for Ultrasound Speed-of-Sound Reconstruction: Impacts of Training Data Diversity on Stability and Robustness

    (2022)
    14 Citations
  • Inverting brain grey matter models with likelihood-free inference: a tool for trustable cytoarchitecture measurements

    (2021)
    13 Citations
  • A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation

    (2021)
    12 Citations

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Best Scientists Contributing to This Journal

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