Sotirios Tsaftaris
Sotirios Tsaftaris
Chair in Machine Learning and Computer Vision, The University of Edinburgh
Verified email at - Homepage
Cited by
Cited by
AI in medical imaging informatics: current challenges and future directions
AS Panayides, A Amini, ND Filipovic, A Sharma, SA Tsaftaris, A Young, ...
IEEE journal of biomedical and health informatics 24 (7), 1837-1857, 2020
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, 585-606, 2016
Finely-grained annotated datasets for image-based plant phenotyping
M Minervini, A Fischbach, H Scharr, SA Tsaftaris
Pattern recognition letters 81, 80-89, 2016
Anomalous video event detection using spatiotemporal context
F Jiang, J Yuan, SA Tsaftaris, AK Katsaggelos
Computer Vision and Image Understanding 115 (3), 323-333, 2011
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
Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge
VM Campello, P Gkontra, C Izquierdo, C Martin-Isla, A Sojoudi, PM Full, ...
IEEE Transactions on Medical Imaging 40 (12), 3543-3554, 2021
Image analysis: the new bottleneck in plant phenotyping [applications corner]
M Minervini, H Scharr, SA Tsaftaris
IEEE signal processing magazine 32 (4), 126-131, 2015
Adversarial image synthesis for unpaired multi-modal cardiac data
A Chartsias, T Joyce, R Dharmakumar, SA Tsaftaris
Simulation and Synthesis in Medical Imaging: Second International Workshop …, 2017
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
Dominant β-catenin mutations cause intellectual disability with recognizable syndromic features
V Tucci, T Kleefstra, A Hardy, I Heise, S Maggi, MH Willemsen, H Hilton, ...
The Journal of clinical investigation 124 (4), 1468-1482, 2014
Image-based plant phenotyping with incremental learning and active contours
M Minervini, MM Abdelsamea, SA Tsaftaris
Ecological Informatics 23, 35-48, 2014
Machine learning for plant phenotyping needs image processing
SA Tsaftaris, M Minervini, H Scharr
Trends in plant science 21 (12), 989-991, 2016
Common limitations of image processing metrics: A picture story
A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ...
arXiv preprint arXiv:2104.05642, 2021
Metrics reloaded: Pitfalls and recommendations for image analysis validation
L Maier-Hein, B Menze
arXiv. org, 2022
Learning to count leaves in rosette plants
MV Giuffrida, M Minervini, SA Tsaftaris
BMVA press, 2016
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
Neuroimaging evidence of major morpho-anatomical and functional abnormalities in the BTBR T+ TF/J mouse model of autism
L Dodero, M Damiano, A Galbusera, A Bifone, SA Tsaftsaris, ML Scattoni, ...
PloS one 8 (10), e76655, 2013
Leveraging multiple datasets for deep leaf counting
A Dobrescu, M Valerio Giuffrida, SA Tsaftaris
Proceedings of the IEEE international conference on computer vision …, 2017
Chronic manifestation of postreperfusion intramyocardial hemorrhage as regional iron deposition: a cardiovascular magnetic resonance study with ex vivo validation
A Kali, A Kumar, I Cokic, RLQ Tang, SA Tsaftaris, MG Friedrich, ...
Circulation: Cardiovascular Imaging 6 (2), 218-228, 2013
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
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