| 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 | 231 | 2017 |
| Learning to count leaves in rosette plants MV Giuffrida, M Minervini, SA Tsaftaris BMVA press, 2016 | 114 | 2016 |
| Leveraging multiple datasets for deep leaf counting A Dobrescu, M Valerio Giuffrida, SA Tsaftaris Proceedings of the IEEE international conference on computer vision …, 2017 | 100 | 2017 |
| 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 | 99 | 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 | 99 | 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 | 77 | 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 | 54 | 2016 |
| 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 | 51 | 2018 |
| 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 | 50 | 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 | 38 | 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 | 34 | 2019 |
| 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 | 24 | 2020 |
| An interactive tool for semi-automated leaf annotation M Minervini, MV Giuffrida, S Tsaftaris | 20 | 2015 |
| Root gap correction with a deep inpainting model H Chen, MV Giuffrida, P Doerner, SA Tsaftaris | 13 | 2018 |
| 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 | 12 | 2019 |
| 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 | 7 | 2019 |
| On blind source camera identification GM Farinella, MV Giuffrida, V Digiacomo, S Battiato Advanced Concepts for Intelligent Vision Systems: 16th International …, 2015 | 7 | 2015 |
| Unsupervised rotation factorization in restricted Boltzmann machines MV Giuffrida, SA Tsaftaris IEEE Transactions on Image Processing 29, 2166-2175, 2019 | 6 | 2019 |
| Cape: Context-aware private embeddings for private language learning R Plant, D Gkatzia, V Giuffrida arXiv preprint arXiv:2108.12318, 2021 | 5 | 2021 |
| Chickpea (Cicer arietinum L.) root system architecture adaptation to initial soil moisture improves seed development in dry-down conditions T Bontpart, I Robertson, V Giuffrida, C Concha, LCT Scorza, ... BioRxiv, 2020.09. 24.311753, 2020 | 4 | 2020 |
Sotirios TsaftarisChair in Machine Learning and Computer Vision, The University of EdinburghVerified email at ed.ac.uk
