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Contact


Email

kbenke@unimelb.edu.au

Credentials


Position
Honorary (Principal Fellow)
Department of Infrastructure Engineering
Education
PhD
Deakin University
Post Graduate Diploma
RMIT University
Bachelors Degree
University of Melbourne
Masters (Research)
University of Melbourne
ORCID

0000-0002-7812-3671

A/Prof Kurt Benke

Honorary (Principal Fellow)
Department of Infrastructure Engineering

102 Scholarly works
0 Projects

HIGHLIGHTS

  • 2026

    Journal article

    Improving deep learning explainability by elucidating texture-based learning patterns in medical image segmentation
    DOI: 10.1016/j.bspc.2026.110560
  • 2026

    Journal article

    Engineering framework for curiosity-driven and humble AI in clinical decision support
    DOI: 10.1136/bmjhci-2025-101877
  • 2025

    Conference Proceedings

    PyCellMech: A shape-based feature extraction pipeline for elucidating biological differences between disease states
    DOI: 10.1117/12.3047205
  • 2024

    Journal article

    Machine Learning for Extraction of Image Features Associated with Progression of Geographic Atrophy
    DOI: 10.3390/biomedinformatics4030089
  • 2024

    Journal article

    Accumulative Heat Stress in Ruminants at the Regional Scale under Changing Environmental Conditions
    DOI: 10.3390/environments11030055
  • 2023

    Journal article

    Statistical Analysis of Ceiling and Floor Effects in Medical Trials
    DOI: 10.3390/applbiosci2040042
  • 2023

    Journal article

    Automation of Cluster Extraction in Fundus Autofluorescence Images of Geographic Atrophy
    DOI: 10.3390/applbiosci2030025
Kurt Benke

RECENT SCHOLARLY WORKS

  • 2023

    Journal article

    Deep Learning Using Images of the Retina for Assessment of Severity of Neurological Dysfunction in Parkinson Disease
    DOI: 10.1001/jamaophthalmol.2022.6036
  • 2023

    Journal article

    Analysis of Uncertainty in the Depth Profile of Soil Organic Carbon
    DOI: 10.3390/environments10020029
  • 2022

    Journal article

    Application of Machine Learning to Ranking Predictors of Anti-VEGF Response
    DOI: 10.3390/life12111926

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