| Disentangled representation learning in cardiac image analysis A Chartsias, T Joyce, G Papanastasiou, S Semple, M Williams, DE Newby, ... Medical image analysis 58, 101535, 2019 | 188 | 2019 |
| Bone marrow adipose tissue is a unique adipose subtype with distinct roles in glucose homeostasis KJ Suchacki, AAS Tavares, D Mattiucci, EL Scheller, G Papanastasiou, ... Nature communications 11 (1), 1-18, 2020 | 167 | 2020 |
| SaliencyGAN: Deep Learning Semi-supervised Salient Object Detection in the Fog of IoT C Wang, S Dong, X Shao, G Papanastasiou, H Zhang, G Yang IEEE Transactions on Industrial Informatics, 2019 | 118 | 2019 |
| DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis C Wang, G Yang, G Papanastasiou, SA Tsaftaris, DE Newby, C Gray, ... Information Fusion 67, 147-160, 2020 | 108 | 2020 |
| Peripheral retinal imaging biomarkers for Alzheimer’s disease: a pilot study L Csincsik, TJ MacGillivray, E Flynn, E Pellegrini, G Papanastasiou, ... Ophthalmic research 59 (4), 182-192, 2018 | 90 | 2018 |
| Factorised spatial representation learning: Application in semi-supervised myocardial segmentation A Chartsias, T Joyce, G Papanastasiou, S Semple, M Williams, D Newby, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 83 | 2018 |
| Disentangle, align and fuse for multimodal and semi-supervised image segmentation A Chartsias, G Papanastasiou, C Wang, S Semple, DE Newby, ... IEEE transactions on medical imaging 40 (3), 781-792, 2020 | 76 | 2020 |
| Industrial cyber-physical systems-based cloud IoT edge for federated heterogeneous distillation C Wang, G Yang, G Papanastasiou, H Zhang, JJPC Rodrigues, ... IEEE Transactions on Industrial Informatics 17 (8), 5511-5521, 2020 | 59 | 2020 |
| Bimetallic gold-platinum nanoparticles as a drug delivery system coated with a new drug to target glioblastoma AP Stavropoulou, M Theodosiou, E Sakellis, N Boukos, G Papanastasiou, ... Colloids and Surfaces B: Biointerfaces 214, 112463, 2022 | 30 | 2022 |
| Measurement of myocardial blood flow by cardiovascular magnetic resonance perfusion: comparison of distributed parameter and Fermi models with single and dual bolus G Papanastasiou, MC Williams, LE Kershaw, MR Dweck, S Alam, ... Journal of Cardiovascular Magnetic Resonance 17 (1), 17, 2015 | 30 | 2015 |
| Unsupervised learning for cross-domain medical image synthesis using deformation invariant cycle consistency networks C Wang, G Macnaught, G Papanastasiou, T MacGillivray, D Newby Simulation and Synthesis in Medical Imaging: Third International Workshop …, 2018 | 29 | 2018 |
| Quantitative assessment of myocardial blood flow in coronary artery disease by cardiovascular magnetic resonance: comparison of Fermi and distributed parameter modeling against … G Papanastasiou, MC Williams, MR Dweck, S Alam, A Cooper, ... Journal of Cardiovascular Magnetic Resonance 18 (1), 57, 2016 | 27 | 2016 |
| Is attention all you need in medical image analysis? A review. G Papanastasiou, N Dikaios, J Huang, C Wang, G Yang IEEE Journal of Biomedical and Health Informatics, 2024 | 23 | 2024 |
| Multimodality Quantitative Assessments of Myocardial Perfusion Using Dynamic Contrast Enhanced Magnetic Resonance and 15O-Labeled Water Positron … G Papanastasiou, MC Williams, MR Dweck, S Mirsadraee, N Weir, ... IEEE transactions on radiation and plasma medical sciences 2 (3), 259-271, 2018 | 21 | 2018 |
| Manganese-enhanced magnetic resonance imaging in dilated cardiomyopathy and hypertrophic cardiomyopathy. NB Spath, T Singh, G Papanastasiou, L Kershaw, AH Baker, RL Janiczek, ... | 20 | 2020 |
| TPSDicyc: Improved deformation invariant cross-domain medical image synthesis C Wang, G Papanastasiou, S Tsaftaris, G Yang, C Gray, D Newby, ... Machine Learning for Medical Image Reconstruction: Second International …, 2019 | 19 | 2019 |
| Manganese‐Enhanced T1 Mapping in the Myocardium of Normal and Infarcted Hearts NB Spath, DML Lilburn, GA Gray, LM Le Page, G Papanastasiou, ... Contrast Media & Molecular Imaging 2018 (1), 9641527, 2018 | 18 | 2018 |
| FIRE: unsupervised bi-directional inter-modality registration using deep networks C Wang, G Papanastasiou, A Chartsias, G Jacenkow, SA Tsaftaris, ... arXiv preprint arXiv:1907.05062, 2019 | 16 | 2019 |
| Multimodal cardiac segmentation using disentangled representation learning A Chartsias, G Papanastasiou, C Wang, C Stirrat, S Semple, D Newby, ... Statistical Atlases and Computational Models of the Heart. Multi-Sequence …, 2020 | 15 | 2020 |
| From explainable to interpretable deep learning for natural language processing in healthcare: How far from reality? G Huang, Y Li, S Jameel, Y Long, G Papanastasiou Computational and Structural Biotechnology Journal 24, 362-373, 2024 | 14 | 2024 |
Chengjia WangHeriot-Watt University在 hw.ac.uk 的电子邮件经过验证