| Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks J Antony, K McGuinness, NE O'Connor, K Moran 2016 23rd international conference on pattern recognition (ICPR), 1195-1200, 2016 | 287 | 2016 |
| Automatic detection of knee joints and quantification of knee osteoarthritis severity using convolutional neural networks J Antony, K McGuinness, K Moran, NE O’Connor Machine Learning and Data Mining in Pattern Recognition: 13th International …, 2017 | 169 | 2017 |
| The effects of a free-weight-based resistance training intervention on pain, squat biomechanics and MRI-defined lumbar fat infiltration and functional cross-sectional area in … N Welch, K Moran, J Antony, C Richter, B Marshall, J Coyle, E Falvey, ... BMJ open sport & exercise medicine 1 (1), e000050, 2015 | 67 | 2015 |
| Predicting knee osteoarthritis severity: comparative modeling based on patient’s data and plain X-ray images J Abedin, J Antony, K McGuinness, K Moran, NE O’Connor, ... Scientific reports 9 (1), 5761, 2019 | 65 | 2019 |
| Assessing knee OA severity with CNN attention-based end-to-end architectures M Górriz, J Antony, K McGuinness, X Giró-i-Nieto, NE O’Connor International conference on medical imaging with deep learning, 197-214, 2019 | 51 | 2019 |
| How important are faces for person re-identification? J Dietlmeier, J Antony, K McGuinness, NE O'Connor 25th International Conference on Pattern Recognition (ICPR 2020), IEEE., 2021 | 28 | 2021 |
| Dynamic Approach for Lane Detection using Google Street View and CNN RS Mamidala, U Uthkota, M Bhavani Shankar, J Antony, ... TENCON 2019, 2019 | 25 | 2019 |
| Pattern recognition in musculoskeletal imaging using artificial intelligence N Gorelik, J Chong, DJ Lin Seminars in musculoskeletal radiology 24 (01), 38-49, 2020 | 12 | 2020 |
| Automatic quantification of radiographic knee osteoarthritis severity and associated diagnostic features using deep convolutional neural networks J Antony Dublin City University, 2018 | 12 | 2018 |
| An interactive segmentation tool for quantifying fat in lumbar muscles using axial lumbar-spine MRI J Antony, K McGuinness, N Welch, J Coyle, A Franklyn-Miller, ... IRBM 37 (1), 11-22, 2016 | 11 | 2016 |
| Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity J Antony, K McGuinness, K Moran, NE O'Connor Deep Learners and Deep Learner Descriptors for Medical Applications, 9-93, 2020 | 10 | 2020 |
| Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity J Antony, K McGuinness, K Moran, NE O'Connor arXiv.org preprint: https://arxiv.org/abs/1908.08840, 2019 | 10 | 2019 |
| Fat quantification in MRI-defined lumbar muscles J Antony, K McGuinness, N Welch, J Coyle, A Franklyn-Miller, ... 2014 4th International Conference on Image Processing Theory, Tools and …, 2014 | 7 | 2014 |
| Investigating class-level difficulty factors in multi-label classification problems M Marsden, K McGuinness, J Antony, H Wei, M Redžić, J Tang, Z Hu, ... 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 3 | 2020 |
| Causality Inspired Retrieval of Human-object Interactions from Video L Zhou, J Liu, S Nishimura, J Antony, C Gurrin CBMI 2019, 2019 | 2 | 2019 |
| Insight DCU at TRECVid 2015. K McGuinness, E Mohedano, A Salvador, Z Zhang, M Marsden, P Wang, ... TRECVID, 2015 | 2 | 2015 |
| Dynamic Approach for Lane Detection using Google Street View and CNN R Sai Mamidala, U Uthkota, M Bhavani Shankar, AJ Antony, ... arXiv e-prints, arXiv: 1909.00798, 2019 | 1 | 2019 |
| 3D face reconstruction using frontal and profile views S Narayana, J Antony 2013 7th Asia Modelling Symposium, 132-136, 2013 | 1 | 2013 |
| A Fine Grained Quality Assessment of Video Anomaly Detection J Zhou, K McGuinness, J Antony, NE O Connor Proceedings of the 19th International Conference on Content-based Multimedia …, 2022 | | 2022 |
| Fat quantification in MRI-defined lumbar muscles J Antony, K McGuinness, N Welch, J Coyle, A Franklyn-Miller, ... | | 2014 |
Kevin McGuinnessAssistant Professor, Dublin City UniversityAdresse e-mail validée de dcu.ie
