• Find an Expert
  • Contact
  • SearchSearch icon
  • Menu
  • Help
  • Report an issue

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

Acknowledgement of Country

We acknowledge Aboriginal and Torres Strait Islander people as the Traditional Owners of the unceded lands on which we work, learn and live. We pay respect to Elders past, present and future, and acknowledge the importance of Indigenous knowledge in the Academy.

Read about our Indigenous priorities

About us  

Careers at Melbourne  

Safety and respect  

Newsroom  

Contact  

Campus locations  

Phone: 13 MELB ( 13 6352)

International: +61 3 9035 5511


Address:
The University of Melbourne
Grattan Street, Parkville,
Victoria, 3010, Australia

facebookIconlinkedinIconinstagramIcon

Emergency information  |  Disclaimer and copyright  |  Accessibility  |  Privacy

CRICOS number: 00116K     ABN: 84 002 705 224