Detecting intertrochanteric hip fractures with orthopedist-level accuracy using a deep convolutional neural network

Automated detection and classification of the proximal humerus fracture by using deep learning algorithm

(2018) Seok Won Chung et al.   Acta Orthopaedica

Artificial intelligence in fracture detection: transfer learning from deep convolutional neural networks

(2018) D.H. Kim et al.   CLINICAL RADIOLOGY

ISSLS PRIZE IN BIOENGINEERING SCIENCE 2017: Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention is comparable with an expert radiologist

(2017) Amir Jamaludin et al.   EUROPEAN SPINE JOURNAL

Magnetic resonance imaging for verifying hip fracture diagnosis why, when and how?

(2017) Ana Pejic et al.   INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED

Fully Automated Deep Learning System for Bone Age Assessment

(2017) Hyunkwang Lee et al.   JOURNAL OF DIGITAL IMAGING

Survey of hip fractures in Japan: Recent trends in prevalence and treatment

(2017) Hiroshi Hagino et al.   JOURNAL OF ORTHOPAEDIC SCIENCE

SpineNet: Automated classification and evidence visualization in spinal MRIs

(2017) Amir Jamaludin et al.   MEDICAL IMAGE ANALYSIS

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING