121 citations · 136 across the 3 of their papers we have counts for
4 papers · 1 filter
The use of deep learning enables high diagnostic accuracy in detecting syndesmotic instability on weight-bearing CT scanning
Alireza Borjali, Soheil Ashkani-Esfahani, Rohan Bhimani +5
Delayed diagnosis of syndesmosis instability can lead to significant morbidity and accelerated arthritic change in the ankle joint. Weight-bearing computed tomography (WBCT) has sh…
A scoping review of transfer learning research on medical image analysis using ImageNet
Mohammad Amin Morid, Alireza Borjali, Guilherme Del Fiol
Objective: Employing transfer learning (TL) with convolutional neural networks (CNNs), well-trained on non-medical ImageNet dataset, has shown promising results for medical image a…
Detecting mechanical loosening of total hip replacement implant from plain radiograph using deep convolutional neural network
Alireza Borjali, Antonia F. Chen, Orhun K. Muratoglu +2
Plain radiography is widely used to detect mechanical loosening of total hip replacement (THR) implants. Currently, radiographs are assessed manually by medical professionals, whic…
Detecting total hip replacement prosthesis design on preoperative radiographs using deep convolutional neural network
Alireza Borjali, Antonia F. Chen, Orhun K. Muratoglu +2
Identifying the design of a failed implant is a key step in preoperative planning of revision total joint arthroplasty. Manual identification of the implant design from radiographi…