103 citations · 116 across the 5 of their papers we have counts for
5 papers
Predicting knee osteoarthritis severity: comparative modeling based on patient's data and plain X-ray images
Jaynal Abedin, Joseph Antony, Kevin McGuinness +4
Knee osteoarthritis (KOA) is a disease that impairs knee function and causes pain. A radiologist reviews knee X-ray images and grades the severity level of the impairments accordin…
Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity
Joseph Antony, Kevin McGuinness, Kieran Moran +1
This chapter presents the investigations and the results of feature learning using convolutional neural networks to automatically assess knee osteoarthritis (OA) severity and the a…
Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity using Convolutional Neural Networks
Joseph Antony, Kevin McGuinness, Kieran Moran +1
This paper introduces a new approach to automatically quantify the severity of knee OA using X-ray images. Automatically quantifying knee OA severity involves two steps: first, aut…
An Interactive Segmentation Tool for Quantifying Fat in Lumbar Muscles using Axial Lumbar-Spine MRI
Joseph Antony, Kevin McGuinness, Neil Welch +4
In this paper we present an interactive tool that can be used to quantify fat infiltration in lumbar muscles, which is useful in studying fat infiltration and lower back pain (LBP)…
Quantifying Radiographic Knee Osteoarthritis Severity using Deep Convolutional Neural Networks
Joseph Antony, Kevin McGuinness, Noel E O Connor +1
This paper proposes a new approach to automatically quantify the severity of knee osteoarthritis (OA) from radiographs using deep convolutional neural networks (CNN). Clinically, k…