Alireza Borjali

Detecting total hip replacement prosthesis design on plain radiographs using deep convolutional neural network

Alireza Borjali, Antonia F. Chen, Orhun K. Muratoglu et al. · Journal of Orthopaedic Research® · 2020 · 112 citations · Full text

Failed Implant, Convolutional Neural Network, Engineering +17

Natural language processing with deep learning for medical adverse event detection from free-text medical narratives: A case study of detecting total hip replacement dislocation

Alireza Borjali, Martin Magnéli, David Shin et al. · Computers in Biology and Medicine · 2020 · 73 citations · Full text

Natural Language Processing, Medical Language Processing, Health Informatics +10

Predicting the polyethylene wear rate in pin-on-disc experiments in the context of prosthetic hip implants: Deriving a data-driven model using machine learning methods

Alireza Borjali, Kenneth L. Monson, Bart Raeymaekers · Tribology International · 2019 · 59 citations · Full text

Kinesiology, Machine Learning Methods, Engineering +9

Using a patterned microtexture to reduce polyethylene wear in metal-on-polyethylene prosthetic bearing couples

Alireza Borjali, J Langhorn, Kenneth L. Monson et al. · Wear · 2017 · 50 citations · Full text

Materials Science, Polyethylene Wear, Engineering +9

Microtextured CoCrMo alloy for use in metal-on-polyethylene prosthetic joint bearings: Multi-directional wear and corrosion measurements

J Langhorn, Alireza Borjali, Elizabeth A. Hippensteel et al. · Tribology International · 2018 · 43 citations

Materials Science, Engineering, Mechanical Properties +13