Assessment of knee pain from MR imaging using a convolutional Siamese network
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Assessment of knee pain from MR imaging using a convolutional Siamese network
Authors
Keywords
-
Journal
EUROPEAN RADIOLOGY
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-02-14
DOI
10.1007/s00330-020-06658-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Amount of fibroglandular tissue FGT and background parenchymal enhancement BPE in relation to breast cancer risk and false positives in a breast MRI screening program
- (2019) Suzan Vreemann et al. EUROPEAN RADIOLOGY
- Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI
- (2019) Charlie A. Hamm et al. EUROPEAN RADIOLOGY
- Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features
- (2019) Clinton J. Wang et al. EUROPEAN RADIOLOGY
- Deep learning to differentiate parkinsonian disorders separately using single midsagittal MR imaging: a proof of concept study
- (2019) Shigeru Kiryu et al. EUROPEAN RADIOLOGY
- Knee menisci segmentation and relaxometry of 3D ultrashort echo time cones MR imaging using attention U‐Net with transfer learning
- (2019) Michal Byra et al. MAGNETIC RESONANCE IN MEDICINE
- Automated cartilage and meniscus segmentation of knee MRI with conditional generative adversarial networks
- (2019) Sibaji Gaj et al. MAGNETIC RESONANCE IN MEDICINE
- Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI
- (2018) Kai Roman Laukamp et al. EUROPEAN RADIOLOGY
- 3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study
- (2018) Jose Dolz et al. NEUROIMAGE
- Knee menisci segmentation using convolutional neural networks: data from the Osteoarthritis Initiative
- (2018) A. Tack et al. OSTEOARTHRITIS AND CARTILAGE
- Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry
- (2018) Berk Norman et al. RADIOLOGY
- Comparing image analysis approaches versus expert readers: the relation of knee radiograph features to knee pain
- (2018) Luca Minciullo et al. ANNALS OF THE RHEUMATIC DISEASES
- Mechanisms of Osteoarthritis (OA) Pain
- (2018) Terence W. O’Neill et al. Current Osteoporosis Reports
- Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
- (2018) Nicholas Bien et al. PLOS MEDICINE
- Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative
- (2018) Felix Ambellan et al. MEDICAL IMAGE ANALYSIS
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Associations between MRI features versus knee pain severity and progression: Data from the Vancouver Longitudinal Study of Early Knee Osteoarthritis
- (2017) Eric C. Sayre et al. PLoS One
- Deep learning
- (2015) Yann LeCun et al. NATURE
- The global burden of hip and knee osteoarthritis: estimates from the Global Burden of Disease 2010 study
- (2014) Marita Cross et al. ANNALS OF THE RHEUMATIC DISEASES
- Neuropathic pain in osteoarthritis: A review of pathophysiological mechanisms and implications for treatment
- (2014) Theodoros Dimitroulas et al. SEMINARS IN ARTHRITIS AND RHEUMATISM
- Structural correlates of pain in joints with osteoarthritis
- (2013) D.J. Hunter et al. OSTEOARTHRITIS AND CARTILAGE
- The epidemiology and impact of pain in osteoarthritis
- (2013) T. Neogi OSTEOARTHRITIS AND CARTILAGE
- Individual magnetic resonance imaging and radiographic features of knee osteoarthritis in subjects with unilateral knee pain: The Health, Aging, and Body Composition Study
- (2012) M. K. Javaid et al. ARTHRITIS AND RHEUMATISM
- Discordance between pain and radiographic severity in knee osteoarthritis: Findings from quantitative sensory testing of central sensitization
- (2012) Patrick H. Finan et al. ARTHRITIS AND RHEUMATISM
- The association between meniscal and cruciate ligament damage and knee pain in community residents
- (2011) H.A. Kim et al. OSTEOARTHRITIS AND CARTILAGE
- Natural history of cartilage damage and osteoarthritis progression on magnetic resonance imaging in a population-based cohort with knee pain
- (2011) J. Cibere et al. OSTEOARTHRITIS AND CARTILAGE
- Do knee abnormalities visualised on MRI explain knee pain in knee osteoarthritis? A systematic review
- (2010) E. Yusuf et al. ANNALS OF THE RHEUMATIC DISEASES
- Pain and rheumatology: Thinking outside the joint
- (2009) Daniel J. Clauw et al. ARTHRITIS AND RHEUMATISM
- Magnetic resonance imaging-based cartilage loss in painful contralateral knees with and without radiographic joint space narrowing: Data from the osteoarthritis initiative
- (2009) Felix Eckstein et al. ARTHRITIS AND RHEUMATISM
- Imaging the painful osteoarthritic knee joint: what have we learned?
- (2009) Claire YJ Wenham et al. Nature Reviews Rheumatology
- The discordance between clinical and radiographic knee osteoarthritis: A systematic search and summary of the literature
- (2008) John Bedson et al. BMC MUSCULOSKELETAL DISORDERS
- The osteoarthritis initiative: report on the design rationale for the magnetic resonance imaging protocol for the knee
- (2008) C.G. Peterfy et al. OSTEOARTHRITIS AND CARTILAGE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now