Nathan Phelps

Development of a convolutional neural network to differentiate among the etiology of similar appearing pathological B lines on lung ultrasound: a deep learning study

Robert Arntfield, Blake VanBerlo, Thamer Alaifan et al. · BMJ Open · 2021 · 78 citations · Full text

Comparing calibrated statistical and machine learning methods for wildland fire occurrence prediction: a case study of human-caused fires in Lac La Biche, Alberta, Canada

Nathan Phelps, Douglas G. Woolford · International Journal of Wildland Fire · 2021 · 43 citations · Full text

Engineering, Machine Learning, Fire Detection +20

Guidelines for effective evaluation and comparison of wildland fire occurrence prediction models

Nathan Phelps, Douglas G. Woolford · International Journal of Wildland Fire · 2021 · 29 citations · Full text

Engineering, Fire Dynamic, Forestry +19

Development of a deep learning classifier to accurately distinguish COVID-19 from look-a-like pathology on lung ultrasound

Robert Arntfield, Blake VanBerlo, Thamer Alaifan et al. · 2020 · 16 citations · Full text

Convolutional Neural Network, Medical Image Segmentation, Engineering +22

Classification of forest fuels in selected fire-prone ecosystems of Alberta, Canada—implications for crown fire behaviour prediction and fuel management

Nathan Phelps, Jennifer L. Beverly · Annals of Forest Science · 2022 · 12 citations · Full text