Emergence of deep learning in knee osteoarthritis diagnosis
Osteoarthritis (OA), especially knee OA, is the most common form of arthritis, causing
significant disability in patients worldwide. Manual diagnosis, segmentation, and …
significant disability in patients worldwide. Manual diagnosis, segmentation, and …
Prospective deployment of deep learning in MRI: a framework for important considerations, challenges, and recommendations for best practices
Artificial intelligence algorithms based on principles of deep learning (DL) have made a
large impact on the acquisition, reconstruction, and interpretation of MRI data. Despite the …
large impact on the acquisition, reconstruction, and interpretation of MRI data. Despite the …
[HTML][HTML] uRP: An integrated research platform for one-stop analysis of medical images
J Wu, Y Xia, X Wang, Y Wei, A Liu, A Innanje… - Frontiers in …, 2023 - frontiersin.org
Introduction Medical image analysis is of tremendous importance in serving clinical
diagnosis, treatment planning, as well as prognosis assessment. However, the image …
diagnosis, treatment planning, as well as prognosis assessment. However, the image …
Skm-tea: A dataset for accelerated mri reconstruction with dense image labels for quantitative clinical evaluation
AD Desai, AM Schmidt, EB Rubin, CM Sandino… - arXiv preprint arXiv …, 2022 - arxiv.org
Magnetic resonance imaging (MRI) is a cornerstone of modern medical imaging. However,
long image acquisition times, the need for qualitative expert analysis, and the lack of (and …
long image acquisition times, the need for qualitative expert analysis, and the lack of (and …
Studying osteoarthritis with artificial intelligence applied to magnetic resonance imaging
The 3D nature and soft-tissue contrast of MRI makes it an invaluable tool for osteoarthritis
research, by facilitating the elucidation of disease pathogenesis and progression. The recent …
research, by facilitating the elucidation of disease pathogenesis and progression. The recent …
Updates on compositional MRI mapping of the cartilage: emerging techniques and applications
Osteoarthritis (OA) is a widely occurring degenerative joint disease that is severely
debilitating and causes significant socioeconomic burdens to society. Magnetic resonance …
debilitating and causes significant socioeconomic burdens to society. Magnetic resonance …
The international workshop on osteoarthritis imaging knee MRI segmentation challenge: a multi-institute evaluation and analysis framework on a standardized dataset
Purpose To organize a multi-institute knee MRI segmentation challenge for characterizing
the semantic and clinical efficacy of automatic segmentation methods relevant for monitoring …
the semantic and clinical efficacy of automatic segmentation methods relevant for monitoring …
Diagnostic accuracy of quantitative multicontrast 5-minute knee MRI using prospective artificial intelligence image quality enhancement
AS Chaudhari, MJ Grissom, Z Fang… - American Journal of …, 2021 - Am Roentgen Ray Soc
Please see the Editorial Comment by Derik L. Davis discussing this article. BACKGROUND.
Potential approaches for abbreviated knee MRI, including prospective acceleration with …
Potential approaches for abbreviated knee MRI, including prospective acceleration with …
A practical guide to the development and deployment of deep learning models for the Orthopedic surgeon: part I
JF Oeding, RJ Williams, BU Nwachukwu… - Knee Surgery, Sports …, 2023 - Springer
Deep learning has a profound impact on daily life. As Orthopedics makes use of this rapid
escalation in technology, Orthopedic surgeons will need to take leadership roles on deep …
escalation in technology, Orthopedic surgeons will need to take leadership roles on deep …
Expediting finite element analyses for subject-specific studies of knee osteoarthritis: a literature review
Osteoarthritis (OA) is a degenerative disease that affects the synovial joints, especially the
knee joint, diminishing the ability of patients to perform daily physical activities …
knee joint, diminishing the ability of patients to perform daily physical activities …