| Causal machine learning for healthcare and precision medicine P Sanchez, JP Voisey, T Xia, HI Watson, AQ O’Neil, SA Tsaftaris Royal Society Open Science 9 (8), 220638, 2022 | 117 | 2022 |
| Learning Disentangled Representations in the Imaging Domain X Liu*, P Sanchez*, S Thermos, AQ O'Neil, SA Tsaftaris Medical Image Analysis 80, 2021 | 103 | 2021 |
| Generative ai for medical imaging: extending the monai framework WHL Pinaya, MS Graham, E Kerfoot, PD Tudosiu, J Dafflon, V Fernandez, ... arXiv preprint arXiv:2307.15208, 2023 | 82 | 2023 |
| Cerebrovascular network segmentation of MRA images with deep learning P Sanchez, C Meyer, V Vigon, B Naegel IEEE International Symposium on Biomedical Imaging (ISBI), 768-771, 2019 | 80 | 2019 |
| What is Healthy? Generative Counterfactual Diffusion for Lesion Localization P Sanchez, A Kascenas, X Liu, AQ O'Neil, SA Tsaftaris MICCAI Workshop Deep Generative Models, 2022 | 78 | 2022 |
| Diffusion Causal Models for Counterfactual Estimation P Sanchez, SA Tsaftaris Proceedings of the First Conference on Causal Learning and Reasoning 177 …, 2022 | 78 | 2022 |
| Diffusion Models for Causal Discovery via Topological Ordering P Sanchez, X Liu, AQ O'Neil, SA Tsaftaris The Eleventh International Conference on Learning Representations (ICLR), 2023 | 49 | 2023 |
| The role of noise in denoising models for anomaly detection in medical images A Kascenas, P Sanchez, P Schrempf, C Wang, W Clackett, SS Mikhael, ... Medical Image Analysis 90, 102963, 2023 | 37 | 2023 |
| Parameter-efficient fine-tuning for medical image analysis: The missed opportunity R Dutt, L Ericsson, P Sanchez, SA Tsaftaris, T Hospedales arXiv preprint arXiv:2305.08252, 2023 | 37 | 2023 |
| vmfnet: Compositionality meets domain-generalised segmentation X Liu, S Thermos, P Sanchez, AQ O’Neil, SA Tsaftaris International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 18 | 2022 |
| Privacy distillation: reducing re-identification risk of multimodal diffusion models V Fernandez, P Sanchez, WHL Pinaya, G Jacenków, SA Tsaftaris, ... arXiv preprint arXiv:2306.01322, 2023 | 14 | 2023 |
| Cardiac aging synthesis from cross-sectional data with conditional generative adversarial networks VM Campello, T Xia, X Liu, P Sanchez, C Martín-Isla, SE Petersen, ... Frontiers in Cardiovascular Medicine, 2693, 2022 | 12 | 2022 |
| Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification T Xia, P Sanchez, C Qin, SA Tsaftaris Frontiers in Radiology 2, 2022 | 12 | 2022 |
| Neural networks memorise personal information from one sample J Hartley, PP Sanchez, F Haider, SA Tsaftaris Scientific Reports 13 (1), 21366, 2023 | 8 | 2023 |
| A bio-inspired apodal and modular robot P Sanchez, MM Nunes, TF Galembeck, LBT Kalejaiye, RPA Tenório, ... Latin American Robotics Symposium and Brazilian Robotics Symposium (LARS/SBR …, 2016 | 6* | 2016 |
| Radedit: stress-testing biomedical vision models via diffusion image editing F Pérez-García, S Bond-Taylor, PP Sanchez, B van Breugel, DC Castro, ... European Conference on Computer Vision, 358-376, 2024 | 5 | 2024 |
| Benchmarking counterfactual image generation T Melistas, N Spyrou, N Gkouti, P Sanchez, A Vlontzos, Y Panagakis, ... arXiv preprint arXiv:2403.20287, 2024 | 5 | 2024 |
| Compositionally equivariant representation learning X Liu, P Sanchez, S Thermos, AQ O’Neil, SA Tsaftaris IEEE Transactions on Medical Imaging, 2024 | 4 | 2024 |
| Privacy Distillation: Reducing Re-identification Risk of Diffusion Models V Fernandez, P Sanchez, WHL Pinaya, G Jacenków, SA Tsaftaris, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 4 | 2023 |
| HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information X Liu, S Thermos, P Sanchez, AQ O'Neil, SA Tsaftaris MICCAI Workshop Medical Applications with Disentanglements (MAD), 2022 | 4 | 2022 |
Sotirios Tsaftaris ( Sotos Tsaftaris )Chair in Machine Learning and Computer Vision, The University of Edinburghed.ac.uk의 이메일 확인됨