Artificial intelligence powered advancements in upper extremity joint MRI: A review

W Chen, LJR Lim, RQR Lim, Z Yi, J Huang, J He… - Heliyon, 2024 - cell.com
Magnetic resonance imaging (MRI) is an indispensable medical imaging examination
technique in musculoskeletal medicine. Modern MRI techniques achieve superior high …

DeepKneeExplainer: explainable knee osteoarthritis diagnosis from radiographs and magnetic resonance imaging

MR Karim, J Jiao, T Doehmen, M Cochez… - IEEE …, 2021 - ieeexplore.ieee.org
Osteoarthritis (OA) is a degenerative joint disease, which significantly affects middle-aged
and elderly people. Although primarily identified via hyaline cartilage change based on …

Segmentanybone: A universal model that segments any bone at any location on mri

H Gu, R Colglazier, H Dong, J Zhang, Y Chen… - Medical Image …, 2025 - Elsevier
Abstract Magnetic Resonance Imaging (MRI) is pivotal in radiology, offering non-invasive
and high-quality insights into the human body. Precise segmentation of the MRIs into …

Current status of functional MRI of osteoarthritis for diagnosis and prognosis

V Juras, G Chang, RR Regatte - Current opinion in rheumatology, 2020 - journals.lww.com
Functional or compositional MRI has great potential to provide noninvasive imaging
biomarkers for osteoarthritis. Osteoarthritis as a whole joint condition needs to be diagnosed …

CNN‐based fully automatic wrist cartilage volume quantification in MR images: A comparative analysis between different CNN architectures

N Vladimirov, E Brui, A Levchuk… - Magnetic …, 2023 - Wiley Online Library
Purpose Automatic measurement of wrist cartilage volume in MR images. Methods We
assessed the performance of four manually optimized variants of the U‐Net architecture …

A principal component analysis-based framework for statistical modeling of bone displacement during wrist maneuvers

BH Foster, CB Shaw, RD Boutin, AA Joshi… - Journal of …, 2019 - Elsevier
We present a method for the statistical modeling of the displacements of wrist bones during
the performance of coordinated maneuvers, such as radial-ulnar deviation (RUD). In our …

Three-dimensional reconstruction of the hand from biplanar X-rays: Assessment of accuracy and reliability

F Loisel, S Durand, JN Goubier, X Bonnet… - … & Traumatology: Surgery …, 2023 - Elsevier
Background Functional disorders of the hand are generally investigated first using
conventional radiographic imaging. However, X-rays (two-dimensional (2D)) provide limited …

Cartilage Imaging: MRI of Chondral Degeneration and Injury

EDZ van Rilland, RC Fritz… - Clinics in Sports …, 2024 - sportsmed.theclinics.com
Imaging evaluation of articular cartilage plays an important role in clinical decision making.
Many new and evolving surgical and nonsurgical treatment options are available for various …

Multi-label segmentation of carpal bones in MRI using expansion transfer learning

S Raith, M Deitermann, T Pankert, J Li… - Physics in Medicine …, 2025 - iopscience.iop.org
Objective: The purpose of this study was to develop a robust deep learning approach trained
with a small in-vivo MRI dataset for multi-label segmentation of all eight carpal bones for …

[HTML][HTML] Automatic segmentation for favourable delineation of ten wrist bones on wrist radiographs using Convolutional Neural Network

B Kang, Y Han, J Oh, J Lim, J Ryu, MS Yoon… - Journal of Personalized …, 2022 - mdpi.com
Purpose: This study aimed to develop and validate an automatic segmentation algorithm for
the boundary delineation of ten wrist bones, consisting of eight carpal and two distal forearm …