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Contact


Email

brp@unimelb.edu.au

Credentials


Position
Honorary (Principal Fellow)
Department of Radiology
ORCID

0000-0003-2313-9067

A/Prof Peter Brotchie

Honorary (Principal Fellow)
Department of Radiology

46 Scholarly works
1 Projects

HIGHLIGHTS

  • 2026

    Journal article

    AI-based BRAIx risk score for the intermediate-term prediction of breast cancer: a population cohort study.
    DOI: 10.1016/j.landig.2026.100987
  • 2025

    Journal article

    Visual Perception and Fixation Patterns in an Individual with Ventral Simultanagnosia, Integrative Agnosia and Bilateral Visual Field Loss
    DOI: 10.3390/neurolint17070105
  • 2025

    Journal article

    Applications and potential of machine, learning augmented chest X-ray interpretation in cardiology
    DOI: 10.23736/S2724-5683.24.06288-4
  • 2024

    Journal article

    Comparison of AI-integrated pathways with human-AI interaction in population mammographic screening for breast cancer
    DOI: 10.1038/s41467-024-51725-8
  • 2024

    Journal article

    BRAIxDet: Learning to detect malignant breast lesion with incomplete annotations
    DOI: 10.1016/j.media.2024.103192
  • 2024

    Journal article

    Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracy
    DOI: 10.1007/s00330-023-10074-8
  • 2024

    Journal article

    Using neural networks to autonomously assess adequacy in intraoperative cholangiograms
    DOI: 10.1007/s00464-024-10768-0
Peter Brotchie

RECENT SCHOLARLY WORKS

  • 2023

    Journal article

    ADMANI: Annotated Digital Mammograms and Associated Non-Image Datasets
    DOI: 10.1148/ryai.220072
  • 2023

    Journal article

    Machine Learning Augmented Interpretation of Chest X-rays: A Systematic Review
    DOI: 10.3390/diagnostics13040743
  • 2022

    Journal article

    Charting the potential of brain computed tomography deep learning systems
    DOI: 10.1016/j.jocn.2022.03.014

RECENT PROJECTS

  • 2012

    Research Grant

    Getting Back on Track After the Unexpected Happens: Decision Making in Predictable and Unpredictable Environments

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