Automatic deep learning–assisted detection and grading of abnormalities in knee MRI studies
Purpose To test the hypothesis that artificial intelligence (AI) techniques can aid in
identifying and assessing lesion severity in the cartilage, bone marrow, meniscus, and …
identifying and assessing lesion severity in the cartilage, bone marrow, meniscus, and …
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: development and retrospective validation of MRNet
Background Magnetic resonance imaging (MRI) of the knee is the preferred method for
diagnosing knee injuries. However, interpretation of knee MRI is time-intensive and subject …
diagnosing knee injuries. However, interpretation of knee MRI is time-intensive and subject …
Knee injury detection using deep learning on MRI studies: a systematic review
The improved treatment of knee injuries critically relies on having an accurate and cost-
effective detection. In recent years, deep-learning-based approaches have monopolized …
effective detection. In recent years, deep-learning-based approaches have monopolized …
Deep learning approach for evaluating knee MR images: achieving high diagnostic performance for cartilage lesion detection
F Liu, Z Zhou, A Samsonov, D Blankenbaker… - Radiology, 2018 - pubs.rsna.org
Purpose To determine the feasibility of using a deep learning approach to detect cartilage
lesions (including cartilage softening, fibrillation, fissuring, focal defects, diffuse thinning due …
lesions (including cartilage softening, fibrillation, fissuring, focal defects, diffuse thinning due …
Deep learning reconstruction enables prospectively accelerated clinical knee MRI
Background MRI is a powerful diagnostic tool with a long acquisition time. Recently, deep
learning (DL) methods have provided accelerated high-quality image reconstructions from …
learning (DL) methods have provided accelerated high-quality image reconstructions from …
Artificial intelligence for MRI diagnosis of joints: a scoping review of the current state-of-the-art of deep learning-based approaches
Deep learning-based MRI diagnosis of internal joint derangement is an emerging field of
artificial intelligence, which offers many exciting possibilities for musculoskeletal radiology. A …
artificial intelligence, which offers many exciting possibilities for musculoskeletal radiology. A …
Deep learning approach for anterior cruciate ligament lesion detection: evaluation of diagnostic performance using arthroscopy as the reference standard
L Zhang, M Li, Y Zhou, G Lu… - Journal of Magnetic …, 2020 - Wiley Online Library
Background MRI is the most commonly used imaging method for diagnosing anterior
cruciate ligament (ACL) injuries. However, the interpretation of knee MRI is time‐intensive …
cruciate ligament (ACL) injuries. However, the interpretation of knee MRI is time‐intensive …
Fully automated diagnosis of anterior cruciate ligament tears on knee MR images by using deep learning
F Liu, B Guan, Z Zhou, A Samsonov… - Radiology: Artificial …, 2019 - pubs.rsna.org
Purpose To investigate the feasibility of using a deep learning–based approach to detect an
anterior cruciate ligament (ACL) tear within the knee joint at MRI by using arthroscopy as the …
anterior cruciate ligament (ACL) tear within the knee joint at MRI by using arthroscopy as the …
3D convolutional neural networks for detection and severity staging of meniscus and PFJ cartilage morphological degenerative changes in osteoarthritis and anterior …
V Pedoia, B Norman, SN Mehany… - Journal of Magnetic …, 2019 - Wiley Online Library
Background Semiquantitative assessment of MRI plays a central role in musculoskeletal
research; however, in the clinical setting MRI reports often tend to be subjective and …
research; however, in the clinical setting MRI reports often tend to be subjective and …
Deep learning in knee imaging: a systematic review utilizing a Checklist for Artificial Intelligence in Medical Imaging (CLAIM)
Purpose Our purposes were (1) to explore the methodologic quality of the studies on the
deep learning in knee imaging with CLAIM criterion and (2) to offer our vision for the …
deep learning in knee imaging with CLAIM criterion and (2) to offer our vision for the …