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Only Journal Publications – abstracts and presentations are not listed
15. G Acosta, A Reicks, M Moreno, A Borjali, C Zuhlke, M Ghashami, “Emissivity Prediction of Functionalized Surfaces Using Artificial Intelligence”, 11/2022
Journal of Quantitative Spectroscopy and Radiative Transfer, 291, 108325
14. P Nag, B Borgohain, K Ahmed, P Phukan, N Kumar, A Borjali, K Varadarajan, S Chanda, “The influence of static load and sideways impact fall on extramedullary bone plates used to treat intertrochanteric femoral fracture: a preclinical strength assessment”, 07/2022
Annals of biomedical engineering, 1-18
13. PY Joo, A Borjali, AF Chen, OK Muratoglu, KM Varadarajan, “Defining and predicting radiographic knee osteoarthritis progression: a systematic review of findings from the osteoarthritis initiative”, 02/2022
Knee Surgery, Sports Traumatology, Arthroscopy, 1-14
12. G Merkely, A Borjali, M Zgoda, EM Farina, S Görtz, O Muratoglu, et al. “Improved diagnosis of tibiofemoral cartilage defects on MRI images using deep learning”, 06/2021
Journal of Cartilage & Joint Preservation 1 (2), 100009
11. M Tilton, A Borjali, A Isaacson, KM Varadarajan, GP Manogharan, “On structure and mechanics of biomimetic meta-biomaterials fabricated via metal additive manufacturing “, 03/2021
Materials & Design 201, 109498
10. A Borjali, M Magneli, D Shin, H Malchau, OK Muratoglu, KM Varadarajan , “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”, 02/2021
Computers in Biology and Medicine 129, 104140
9. MA Morid, A Borjali, G Del Fiol, “A scoping review of transfer learning research on medical image analysis using ImageNet”, 01/2021
Computers in biology and medicine 128, 104115
8. A Borjali, AF Chen, HS Bedair, CM Melnic, OK Muratoglu, MA Morid, “Comparing the performance of a deep convolutional neural network with orthopedic surgeons on the identification of total hip prosthesis design from plain radiographs”, 01/2021
Medical Physics 48 (5), 2327-2336
7. A Borjali, AF Chen, OK Muratoglu, MA Morid, KM Varadarajan, “Deep learning in orthopedics: How do we build trust in the machine?”, 05/2020
Healthcare Transformation
6. A Borjali, AF Chen, OK Muratoglu, MA Morid, KM Varadarajan, “Detecting total hip replacement prosthesis design on plain radiographs using deep convolutional neural network”, 01/2020
Journal of Orthopaedic Research® 38 (7), 1465-1471
I was awarded the William H. Harris Award for this study
5. A Borjali, K Monson, B Raeymaekers, “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”, 05/2019
Tribology international 133, 101-110
4. A Borjali, AF Chen, OK Muratoglu, KM Varadarajan, “Detecting mechanical loosening of total hip arthroplasty using deep convolutional neural network”, 10/2019
Orthopaedic ProceedingsVol. 102-B, No. SUPP_1
3. J Langhorn, A Borjali, E Hippensteel, W Nelson, B Raeymaekers, “Microtextured CoCrMo alloy for use in metal-on-polyethylene prosthetic joint bearings: Multi-directional wear and corrosion measurements”, 08/2018
Tribology international 124, 178-183
2. A Borjali, K Monson, B Raeymaekers, “Friction between a polyethylene pin and a microtextured CoCrMo disc, and its correlation to polyethylene wear, as a function of sliding velocity and contact pressure, in the context of metal-on-polyethylene prosthetic hip implants”, 11/2018
Tribology international 127, 568-574
1. A Borjali, J Langhorn, K Monson, B Raeymaekers, “Using a patterned microtexture to reduce polyethylene wear in metal-on-polyethylene prosthetic bearing couples”, 12/2017
Wear 392, 77-83
Alireza Borjali Portfolio 