Massimo Minervini
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Finely-grained annotated datasets for image-based plant phenotyping
M Minervini, A Fischbach, H Scharr, SA Tsaftaris
Pattern Recognition Letters 81, 80-89, 2016
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
Image Analysis: The New Bottleneck in Plant Phenotyping
M Minervini, H Scharr, SA Tsaftaris
IEEE Signal Processing Magazine 32 (4), 126-131, 2015
Machine learning for plant phenotyping needs image processing
SA Tsaftaris, M Minervini, H Scharr
Trends in Plant Science 21 (12), 989-991, 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
Learning to count leaves in rosette plants
MV Giuffrida, M Minervini, SA Tsaftaris
BMVA press, 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
Annotated image datasets of rosette plants
H Scharr, M Minervini, A Fischbach, SA Tsaftaris
Forschungszentrum Jülich GmbH, Jülich, Germany, 6-12, 2014
An interactive tool for semi-automated leaf annotation
M Minervini, MV Giuffrida, S Tsaftaris
Plant phenotyping datasets
M Minervini, A Fischbach, H Scharr, SA Tsaftaris
Application-aware image compression for low cost and distributed plant phenotyping
M Minervini, SA Tsaftaris
18th International Conference on Digital Signal Processing (DSP), 2013
The significance of image compression in plant phenotyping applications
M Minervini, H Scharr, SA Tsaftaris
Functional Plant Biology 42 (10), 971-988, 2015
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
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
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
Nonnegative Matrix Factorizations Performing Object Detection and Localization
G Casalino, N Del Buono, M Minervini
Applied Computational Intelligence and Soft Computing 2012, 15, 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
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
Classification-aware distortion metric for HEVC intra coding
M Minervini, SA Tsaftaris
International Conference on Visual Communications and Image Processing (VCIP), 2015
Application-Aware Image Compression and Sensing Platform for Plant Phenotyping
M Minervini
IMT School for Advanced Studies Lucca, 2015
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