Kurt Benke

Deep Learning Using Images of the Retina for Assessment of Severity of Neurological Dysfunction in Parkinson Disease.

Janan Arslan, Daniel Racoceanu, Kurt K Benke

Journal article  |  2023  |  JAMA Ophthalmol

Analysis of Uncertainty in the Depth Profile of Soil Organic Carbon

N Robinson, K Benke

Journal article  |  2023  |  Environments - MDPI

The soil organic carbon (SOC) depth profile provides information for many applications, including monitoring climate change, carbo..

Application of Machine Learning to Ranking Predictors of Anti-VEGF Response.

Janan Arslan, Kurt K Benke

Journal article  |  2022  |  Life (Basel)

Age-related macular degeneration (AMD) is a heterogeneous disease affecting the macula of individuals and is a cause of irreversib..

Epistemic Uncertainties in the Assessment of Regional Soil Acidification

K Benke, N Robinson, S Norng, D Rees, G O’Leary

Journal article  |  2022  |  Environments - MDPI

The increasing acidification of soil due to pollution and agricultural management practices is a growing problem worldwide, where ..

Progression of Geographic Atrophy: Epistemic Uncertainties Affecting Mathematical Models and Machine Learning

Janan Arslan, Kurt K Benke

Journal article  |  2021  |  TRANSLATIONAL VISION SCIENCE & TECHNOLOGY

PURPOSE: The purpose of this study was to identify a taxonomy of epistemic uncertainties that affect results for geographic atroph..

Deep Learning Applied to Automated Segmentation of Geographic Atrophy in Fundus Autofluorescence Images.

Janan Arslan, Gihan Samarasinghe, Arcot Sowmya, Kurt K Benke, Lauren AB Hodgson, Robyn H Guymer, Paul N Baird

Journal article  |  2021  |  Transl Vis Sci Technol

PURPOSE: This study describes the development of a deep learning algorithm based on the U-Net architecture for automated segmentat..

Model Structure Uncertainty in the Characterization and Growth of Geographic Atrophy

Janan Arslan, Kurt K Benke, Gihan Samarasinghe, Arcot Sowmya, Robyn H Guymer, Paul N Baird

Journal article  |  2021  |  TRANSLATIONAL VISION SCIENCE & TECHNOLOGY

PURPOSE: To identify the most suitable model for assessing the rate of growth of total geographic atrophy (GA) by analysis of mode..

Dose-Response Models May Explain Age-Related Macular Degeneration and Vitamin Treatments

Kurt K Benke, Janan Arslan

Journal article  |  2021  |  JAMA OPHTHALMOLOGY

Machine learning produces higher prediction accuracy than the Jarvis-type model of climatic control on stomatal conductance in a dryland wheat agro-ecosystem

Alireza Houshmandfar, Garry O'Leary, Glenn J Fitzgerald, Yang Chen, Sabine Tausz-Posch, Kurt Benke, Shihab Uddin, Michael Tausz

Journal article  |  2021  |  AGRICULTURAL AND FOREST METEOROLOGY

We compared Support Vector Machine (SVM) and Random Forest (RF) machine learning approaches with the widely used Jarvis-type pheno..

Radiofrequency electromagnetic field exposure assessment: a pilot study on mobile phone signal strength and transmitted power levels

C Brzozek, BM Zeleke, MJ Abramson, KK Benke, G Benke

Journal article  |  2021  |  Journal of Exposure Science and Environmental Epidemiology

In many epidemiological studies mobile phone use has been used as an exposure proxy for radiofrequency electromagnetic field (RF-E..