Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection

(2018) Fang Liu et al.   RADIOLOGY

Magnetic resonance imaging of the knee: An overview and update of conventional and state of the art imaging

(2017) Nicholas C. Nacey et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework

(2017) Luke Oakden-Rayner et al.   Scientific Reports

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Imaging of Athletic Injuries of Knee Ligaments and Menisci: Sports Imaging Series

(2016) Ali M. Naraghi et al.   RADIOLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Fast Implementation of DeLong’s Algorithm for Comparing the Areas Under Correlated Receiver Operating Characteristic Curves

(2014) Xu Sun et al.   IEEE SIGNAL PROCESSING LETTERS

MR Imaging–based Diagnosis and Classification of Meniscal Tears

(2014) Jie C. Nguyen et al.   RADIOGRAPHICS

pROC: an open-source package for R and S+ to analyze and compare ROC curves

(2011) Xavier Robin et al.   BMC BIOINFORMATICS

SU-E-T-33: Pydicom: An Open Source DICOM Library

(2011) D Mason   MEDICAL PHYSICS