140 citations · 140 across the 2 of their papers we have counts for
2 papers
eess.IV2020
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset
Arjun D. Desai, Francesco Caliva, Claudia Iriondo +26
Purpose: To organize a knee MRI segmentation challenge for characterizing the semantic and clinical efficacy of automatic segmentation methods relevant for monitoring osteoarthriti…
cs.CV2017★ 140 cited
Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks
Cem M. Deniz, Siyuan Xiang, Spencer Hallyburton +5
Magnetic resonance imaging (MRI) has been proposed as a complimentary method to measure bone quality and assess fracture risk. However, manual segmentation of MR images of bone is…