Automated cartilage and meniscus segmentation of knee MRI with conditional generative adversarial networks

Deep convolutional neural network for segmentation of knee joint anatomy

(2018) Zhaoye Zhou et al.   MAGNETIC RESONANCE IN MEDICINE

SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation

(2018) Yuan Xue et al.   NEUROINFORMATICS

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

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging

(2017) Fang Liu et al.   MAGNETIC RESONANCE IN MEDICINE

Bone marrow edema-like lesions (BMELs) are associated with higher T1ρ and T2 values of cartilage in anterior cruciate ligament (ACL)-reconstructed knees: a longitudinal study

(2016) Jingshan Gong et al.   QUANTITATIVE IMAGING IN MEDICINE AND SURGERY

Cartilage morphology and T1ρ and T2 quantification in ACL-reconstructed knees: a 2-year follow-up

(2013) F. Su et al.   OSTEOARTHRITIS AND CARTILAGE

Measurement and visualisation of focal cartilage thickness change by MRI in a study of knee osteoarthritis using a novel image analysis tool

(2010) T G Williams et al.   BRITISH JOURNAL OF RADIOLOGY

Inter-subject comparison of MRI knee cartilage thickness

(2007) Julio Carballido-Gamio et al.   MEDICAL IMAGE ANALYSIS