| Superpixel contracted graph-based learning for hyperspectral image classification P Sellars, AI Aviles-Rivero, CB Schönlieb IEEE Transactions on Geoscience and Remote Sensing 58 (6), 4180-4193, 2020 | 76 | 2020 |
| GraphX^\small NET-NET-Chest X-Ray Classification Under Extreme Minimal Supervision AI Aviles-Rivero, N Papadakis, R Li, P Sellars, Q Fan, RT Tan, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 57 | 2019 |
| GraphXCOVID: explainable deep graph diffusion pseudo-labelling for identifying COVID-19 on chest X-rays AI Aviles-Rivero, P Sellars, CB Schönlieb, N Papadakis Pattern Recognition 122, 108274, 2022 | 35 | 2022 |
| Laplacenet: A hybrid energy-neural model for deep semi-supervised classification P Sellars, AI Aviles-Rivero, CB Schönlieb IEEE Transactions on Neural Networks and Learning Systems, 1-13, 2021 | 32* | 2021 |
| Two cycle learning: clustering based regularisation for deep semi-supervised classification P Sellars, A Aviles-Rivero, CB Schönlieb arXiv preprint arXiv:2001.05317, 2020 | 8 | 2020 |
| The GraphNet zoo: an all-in-one graph based deep semi-supervised framework for medical image classification M de Vriendt, P Sellars, AI Aviles-Rivero Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2020 | 6 | 2020 |
| Semi-supervised learning with graphs: Covariance based superpixels for hyperspectral image classification P Sellars, AI Aviles-Rivero, N Papadakis, D Coomes, A Faul, ... IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 6 | 2019 |
| Minimal Labels, Maximum Gain. Image Classification with Graph-Based Semi-Supervised Learning P Sellars | 1 | 2022 |
