| Leaf segmentation in plant phenotyping: a collation study H Scharr, M Minervini, AP French, C Klukas, DM Kramer, X Liu, I Luengo, ... Machine Vision and Applications 27 (4), 585-606, 2016 | 159 | 2016 |
| Image Analysis: The New Bottleneck in Plant Phenotyping M Minervini, H Scharr, SA Tsaftaris IEEE Signal Processing Magazine 32 (4), 126-131, 2015 | 139 | 2015 |
| Finely-grained annotated datasets for image-based plant phenotyping M Minervini, A Fischbach, H Scharr, SA Tsaftaris Pattern Recognition Letters 81, 80-89, 2016 | 134 | 2016 |
| Image-based plant phenotyping with incremental learning and active contours M Minervini, MM Abdelsamea, SA Tsaftaris Ecological Informatics 23 (Multimedia in Ecology and Environment), 35-48, 2014 | 102 | 2014 |
| Learning to count leaves in rosette plants MV Giuffrida, M Minervini, SA Tsaftaris BMVA press, 2016 | 66 | 2016 |
| Machine learning for plant phenotyping needs image processing SA Tsaftaris, M Minervini, H Scharr Trends in Plant Science 21 (12), 989-991, 2016 | 63 | 2016 |
| Annotated image datasets of rosette plants H Scharr, M Minervini, A Fischbach, SA Tsaftaris Forschungszentrum Jülich GmbH, Jülich, Germany, 6-12, 2014 | 55 | 2014 |
| 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 | 53 | 2017 |
| An interactive tool for semi-automated leaf annotation M Minervini, MV Giuffrida, SA Tsaftaris BMVA Press, 2016 | 15 | 2016 |
| Application-aware image compression for low cost and distributed plant phenotyping M Minervini, SA Tsaftaris 18th International Conference on Digital Signal Processing (DSP), 2013 | 13 | 2013 |
| Large-scale analysis of neuroimaging data on commercial clouds with content-aware resource allocation strategies M Minervini, C Rusu, M Damiano, V Tucci, A Bifone, A Gozzi, SA Tsaftaris International Journal of High Performance Computing Applications 29 (4), 473-488, 2015 | 10 | 2015 |
| The significance of image compression in plant phenotyping applications M Minervini, H Scharr, SA Tsaftaris Functional Plant Biology 42 (10), 971-988, 2015 | 10 | 2015 |
| Learning Computationally Efficient Approximations of Complex Image Segmentation Metrics M Minervini, C Rusu, SA Tsaftaris 8th International Symposium on Image and Signal Processing and Analysis …, 2013 | 10 | 2013 |
| Unsupervised and Supervised Approaches to Color Space Transformation for Image Coding M Minervini, C Rusu, SA Tsaftaris 21st International Conference on Image Processing (ICIP), 5576-5580, 2014 | 8 | 2014 |
| Nonnegative Matrix Factorizations Performing Object Detection and Localization G Casalino, N Del Buono, M Minervini Applied Computational Intelligence and Soft Computing 2012, 15, 2012 | 8 | 2012 |
| Plant phenotyping datasets M Minervini, A Fischbach, H Scharr, SA Tsaftaris | 7 | 2015 |
| Mouse neuroimaging phenotyping in the cloud M Minervini, M Damiano, V Tucci, A Bifone, A Gozzi, SA Tsaftaris 3rd International Conference on Image Processing Theory, Tools and …, 2012 | 6 | 2012 |
| Computationally efficient data and application driven color transforms for the compression and enhancement of images and video M Minervini, C Rusu, SA Tsaftaris Color Image and Video Enhancement, 371-393, 2015 | 4 | 2015 |
| Classification-aware distortion metric for HEVC intra coding M Minervini, SA Tsaftaris International Conference on Visual Communications and Image Processing (VCIP), 2015 | 1 | 2015 |
| Application-Aware Image Compression and Sensing Platform for Plant Phenotyping M Minervini IMT School for Advanced Studies Lucca, 2015 | | 2015 |
Sotirios Tsaftaris, Chair in Machine Le...The University of EdinburghVerified email at ed.ac.uk
