| Evaluating reinforcement learning agents for anatomical landmark detection A Alansary, O Oktay, Y Li, L Le Folgoc, B Hou, G Vaillant, K Kamnitsas, ... Medical image analysis 53, 156-164, 2019 | 162 | 2019 |
| Multiple landmark detection using multi-agent reinforcement learning A Vlontzos, A Alansary, K Kamnitsas, D Rueckert, B Kainz Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 61 | 2019 |
| Video summarization through reinforcement learning with a 3D spatio-temporal u-net T Liu, Q Meng, JJ Huang, A Vlontzos, D Rueckert, B Kainz IEEE Transactions on Image Processing 31, 1573-1586, 2022 | 41 | 2022 |
| Unsupervised human pose estimation through transforming shape templates L Schmidtke, A Vlontzos, S Ellershaw, A Lukens, T Arichi, B Kainz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 28 | 2021 |
| Ultrasound video summarization using deep reinforcement learning T Liu, Q Meng, A Vlontzos, J Tan, D Rueckert, B Kainz Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 28 | 2020 |
| Ultrasound video transformers for cardiac ejection fraction estimation H Reynaud, A Vlontzos, B Hou, A Beqiri, P Leeson, B Kainz Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 26 | 2021 |
| Deep Segmentation and Registration in X-Ray Angiography Video A Vlontzos, K Mikolajczyk BMVC 2018, 2018 | 22 | 2018 |
| Estimating categorical counterfactuals via deep twin networks A Vlontzos, B Kainz, CM Gilligan-Lee Nature Machine Intelligence, 1-10, 2023 | 12* | 2023 |
| Prediction of GNSS Phase Scintillations: A Machine Learning Approach K Lamb, G Malhotra, A Vlontzos, E Wagstaff, AG Baydin, A Bhiwandiwalla, ... Machine Learning for the Physical Sciences; NeurIPS 2019 workshop, 2019 | 11 | 2019 |
| A review of causality for learning algorithms in medical image analysis A Vlontzos, D Rueckert, B Kainz MELBA, 2022 | 10 | 2022 |
| D’artagnan: Counterfactual video generation H Reynaud, A Vlontzos, M Dombrowski, C Gilligan Lee, A Beqiri, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 8 | 2022 |
| Detecting hypo-plastic left heart syndrome in fetal ultrasound via disease-specific atlas maps S Budd, M Sinclair, T Day, A Vlontzos, J Tan, T Liu, J Matthew, E Skelton, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 8 | 2021 |
| Causal future prediction in a minkowski space-time A Vlontzos, HB Rocha, D Rueckert, B Kainz arXiv preprint arXiv:2008.09154, 2020 | 6 | 2020 |
| Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder K Lamb, G Malhotra, A Vlontzos, E Wagstaff, AG Baydin, A Bhiwandiwalla, ... Machine Learning for the Physical Sciences; NeurIPS 2019 workshop, 2019 | 4 | 2019 |
| 3D Probabilistic Segmentation and Volumetry from 2D projection images A Vlontzos, S Budd, B Hou, D Rueckert, B Kainz The Second International Workshop on Thoracic Image Analysis, arXiv preprint …, 2020 | 3 | 2020 |
| The RNN-ELM Classifier A Vlontzos IJCNN 2017, 2017 | 3 | 2017 |
| nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods M Baugh, J Tan, A Vlontzos, JP Müller, B Kainz International Workshop on Uncertainty for Safe Utilization of Machine …, 2022 | 2 | 2022 |
| Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft A Vlontzos, G Sutherland, S Ganju, F Soboczenski International Workshop on AI for Spacecraft Longevity at IJCAI, 2021 | 2 | 2021 |
| Topological Data Analysis of Database Representations for Information Retrieval A Vlontzos, Y Cao, L Schmidtke, B Kainz, A Monod arXiv preprint arXiv:2104.01672, 2021 | 2 | 2021 |
| Non-parametric identifiability and sensitivity analysis of synthetic control models J Zeitler, A Vlontzos, CM Gilligan-Lee Conference on Causal Learning and Reasoning, 850-865, 2023 | 1 | 2023 |
Bernhard KainzFAU Erlangen-Nürnberg, Imperial College London在 imperial.ac.uk 的电子邮件经过验证
