| Smart augmentation learning an optimal data augmentation strategy J Lemley, S Bazrafkan, P Corcoran Ieee Access 5, 5858-5869, 2017 | 484 | 2017 |
| Deep learning for consumer devices and services: pushing the limits for machine learning, artificial intelligence, and computer vision J Lemley, S Bazrafkan, P Corcoran IEEE Consumer Electronics Magazine 6 (2), 48-56, 2017 | 289 | 2017 |
| An end to end deep neural network for iris segmentation in unconstrained scenarios S Bazrafkan, S Thavalengal, P Corcoran Neural Networks 106, 79-95, 2018 | 144 | 2018 |
| Polyworld: Polygonal building extraction with graph neural networks in satellite images S Zorzi, S Bazrafkan, S Habenschuss, F Fraundorfer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 64 | 2022 |
| Deep neural network and data augmentation methodology for off-axis iris segmentation in wearable headsets V Varkarakis, S Bazrafkan, P Corcoran Neural Networks 121, 101-121, 2020 | 55 | 2020 |
| Deep learning for facial expression recognition: A step closer to a smartphone that knows your moods S Bazrafkan, T Nedelcu, P Filipczuk, P Corcoran 2017 IEEE International Conference on Consumer Electronics (ICCE), 217-220, 2017 | 50 | 2017 |
| Eye gaze for consumer electronics: Controlling and commanding intelligent systems S Bazrafkan, A Kar, C Costache IEEE Consumer Electronics Magazine 4 (4), 65-71, 2015 | 42 | 2015 |
| Transfer Learning of Temporal Information for Driver Action Classification. J Lemley, S Bazrafkan, P Corcoran MAICS, 123-128, 2017 | 31 | 2017 |
| Enhancing Iris Authentication on Handheld Devices Using Deep Learning Derived Segmentation Techniques S Bazrafkan, P Corcoran IEEE International Conference on Consumer Electronics, (ICCE 2018), 2018 | 30 | 2018 |
| Pushing the AI envelope: merging deep networks to accelerate edge artificial intelligence in consumer electronics devices and systems S Bazrafkan, PM Corcoran IEEE Consumer Electronics Magazine 7 (2), 55-61, 2018 | 26 | 2018 |
| Method of training a neural network S Bazrafkan, J Lemley US Patent 10,915,817, 2021 | 25 | 2021 |
| Semiparallel deep neural network hybrid architecture: first application on depth from monocular camera S Bazrafkan, H Javidnia, J Lemley, P Corcoran Journal of Electronic Imaging 27 (4), 043041-043041, 2018 | 20 | 2018 |
| Versatile auxiliary classifier with generative adversarial network (vac+ gan), multi class scenarios S Bazrafkan, P Corcoran arXiv preprint arXiv:1806.07751, 2018 | 16 | 2018 |
| CNN-based deblurring of terahertz images M Ljubenović, S Bazrafkan, J De Beenhouwer, J Sijbers Proceedings of the 15th International Joint Conference on Computer Vision …, 2020 | 15 | 2020 |
| A low-cost geometry calibration procedure for a modular cone-beam X-ray CT system V Nguyen, J De Beenhouwer, JG Sanctorum, S Van Wassenbergh, ... Nondestructive Testing and Evaluation 35 (3), 252-265, 2020 | 14 | 2020 |
| Deep learning based computed tomography whys and wherefores S Bazrafkan, V Van Nieuwenhove, J Soons, J De Beenhouwer, J Sijbers arXiv preprint arXiv:1904.03908, 2019 | 13 | 2019 |
| Versatile auxiliary regressor with generative adversarial network (VAR+ GAN) S Bazrafkan, P Corcoran arXiv preprint arXiv:1805.10864, 2018 | 13 | 2018 |
| Recurrent inference machines as inverse problem solvers for MR relaxometry ER Sabidussi, S Klein, MWA Caan, S Bazrafkan, AJ den Dekker, J Sijbers, ... Medical image analysis 74, 102220, 2021 | 12 | 2021 |
| A deep learning approach to segmentation of distorted iris regions in head-mounted displays V Varkarakis, S Bazrafkan, P Corcoran 2018 IEEE Games, Entertainment, Media Conference (GEM), 1-9, 2018 | 12 | 2018 |
| Validating seed data samples for synthetic identities–methodology and uniqueness metrics V Varkarakis, S Bazrafkan, G Costache, P Corcoran Ieee Access 8, 152532-152550, 2020 | 11 | 2020 |
Peter CorcoranProfessor (personal chair) National University of Ireland, Galway在 nuigalway.ie 的电子邮件经过验证
