334 citations · 1.3k across the 54 of their papers we have counts for
6 papers · 1 filter
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…
Where is my Phone ? Personal Object Retrieval from Egocentric Images
Cristian Reyes, Eva Mohedano, Kevin McGuinness +2
This work presents a retrieval pipeline and evaluation scheme for the problem of finding the last appearance of personal objects in a large dataset of images captured from a wearab…
Holistic Features For Real-Time Crowd Behaviour Anomaly Detection
M. Marsden, K. McGuinness, S. Little +1
This paper presents a new approach to crowd behaviour anomaly detection that uses a set of efficiently computed, easily interpretable, scene-level holistic features. This low-dimen…
Bags of Local Convolutional Features for Scalable Instance Search
Eva Mohedano, Amaia Salvador, Kevin McGuinness +3
This work proposes a simple instance retrieval pipeline based on encoding the convolutional features of CNN using the bag of words aggregation scheme (BoW). Assigning each local ar…
Shallow and Deep Convolutional Networks for Saliency Prediction
Junting Pan, Kevin McGuinness, Elisa Sayrol +2
The prediction of salient areas in images has been traditionally addressed with hand-crafted features based on neuroscience principles. This paper, however, addresses the problem w…