| Multimodal MR synthesis via modality-invariant latent representation A Chartsias, T Joyce, MV Giuffrida, SA Tsaftaris IEEE transactions on medical imaging 37 (3), 803-814, 2017 | 322 | 2017 |
| Arigan: Synthetic arabidopsis plants using generative adversarial network M Valerio Giuffrida, H Scharr, SA Tsaftaris Proceedings of the IEEE international conference on computer vision …, 2017 | 132 | 2017 |
| Learning to count leaves in rosette plants MV Giuffrida, M Minervini, SA Tsaftaris BMVA press, 2016 | 129 | 2016 |
| Phenotiki: An open software and hardware platform for affordable and easy image‐based phenotyping of rosette‐shaped plants M Minervini, MV Giuffrida, P Perata, SA Tsaftaris The Plant Journal 90 (1), 204-216, 2017 | 118 | 2017 |
| Leveraging multiple datasets for deep leaf counting A Dobrescu, M Valerio Giuffrida, SA Tsaftaris Proceedings of the IEEE international conference on computer vision …, 2017 | 118 | 2017 |
| Pheno‐deep counter: A unified and versatile deep learning architecture for leaf counting MV Giuffrida, P Doerner, SA Tsaftaris The Plant Journal 96 (4), 880-890, 2018 | 100 | 2018 |
| Whole image synthesis using a deep encoder-decoder network V Sevetlidis, MV Giuffrida, SA Tsaftaris Simulation and Synthesis in Medical Imaging: First International Workshop …, 2016 | 69 | 2016 |
| Doing more with less: a multitask deep learning approach in plant phenotyping A Dobrescu, MV Giuffrida, SA Tsaftaris Frontiers in plant science 11, 141, 2020 | 66 | 2020 |
| Citizen crowds and experts: observer variability in image-based plant phenotyping MV Giuffrida, F Chen, H Scharr, SA Tsaftaris Plant methods 14, 1-14, 2018 | 53 | 2018 |
| Affordable and robust phenotyping framework to analyse root system architecture of soil‐grown plants T Bontpart, C Concha, MV Giuffrida, I Robertson, K Admkie, T Degefu, ... The Plant Journal 103 (6), 2330-2343, 2020 | 42 | 2020 |
| Understanding deep neural networks for regression in leaf counting A Dobrescu, M Valerio Giuffrida, SA Tsaftaris Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 41 | 2019 |
| Leaf counting without annotations using adversarial unsupervised domain adaptation M Valerio Giuffrida, A Dobrescu, P Doerner, SA Tsaftaris Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 37 | 2019 |
| You are what you write: Preserving privacy in the era of large language models R Plant, V Giuffrida, D Gkatzia arXiv preprint arXiv:2204.09391, 2022 | 28 | 2022 |
| CAPE: Context-aware private embeddings for private language learning R Plant, D Gkatzia, V Giuffrida arXiv preprint arXiv:2108.12318, 2021 | 27 | 2021 |
| An interactive tool for semi-automated leaf annotation M Minervini, MV Giuffrida, S Tsaftaris | 21 | 2015 |
| Adversarial large-scale root gap inpainting H Chen, M Valerio Giuffrida, P Doerner, SA Tsaftaris Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 19 | 2019 |
| Root gap correction with a deep inpainting model H Chen, MV Giuffrida, P Doerner, SA Tsaftaris | 17 | 2018 |
| Adapting vision foundation models for plant phenotyping F Chen, MV Giuffrida, SA Tsaftaris Proceedings of the IEEE/CVF International Conference on Computer Vision, 604-613, 2023 | 10 | 2023 |
| Blind inpainting of large-scale masks of thin structures with adversarial and reinforcement learning H Chen, MV Giuffrida, P Doerner, SA Tsaftaris arXiv preprint arXiv:1912.02470, 2019 | 10 | 2019 |
| Understanding deep neural networks for regression in leaf counting. In 2019 IEEE A Dobrescu, MV Giuffrida, SA Tsaftaris CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2019 | 8 | 2019 |
Sotirios Tsaftaris ( Sotos Tsaftaris )Chair in Machine Learning and Computer Vision, The University of EdinburghVerified email at ed.ac.uk
