26 citations · 26 across the 2 of their papers we have counts for
3 papers
CNN-based fully automatic wrist cartilage volume quantification in MR Image
Nikita Vladimirov, Ekaterina Brui, Anatoliy Levchuk +3
Detection of cartilage loss is crucial for the diagnosis of osteo- and rheumatoid arthritis. A large number of automatic segmentation tools have been reported so far for cartilage…
Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images
Rula Amer, Jannette Nassar, David Bendahan +2
Magnetic resonance imaging (MRI) of thigh and calf muscles is one of the most effective techniques for estimating fat infiltration into muscular dystrophies. The infiltration of ad…
Deep learning-based fully automatic segmentation of wrist cartilage in MR images
Ekaterina Brui, Aleksandr Y. Efimtcev, Vladimir A. Fokin +8
The study objective was to investigate the performance of a dedicated convolutional neural network (CNN) optimized for wrist cartilage segmentation from 2D MR images. CNN utilized…