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 | 397 | 2020 |
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 | 329 | 2021 |
Finely-grained annotated datasets for image-based plant phenotyping M Minervini, A Fischbach, H Scharr, SA Tsaftaris Pattern recognition letters 81, 80-89, 2016 | 323 | 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, 585-606, 2016 | 316 | 2016 |
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 | 301 | 2017 |
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 | 286 | 2011 |
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 | 260 | 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 | 233 | 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 | 174 | 2019 |
Machine learning for plant phenotyping needs image processing S Tsaftaris, M Minervini, H Scharr Trends in plant science 21 (12), 989-991, 2016 | 169 | 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 | 166 | 2021 |
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 | 162 | 2014 |
Image-based plant phenotyping with incremental learning and active contours M Minervini, MM Abdelsamea, SA Tsaftaris Ecological Informatics 23, 35-48, 2014 | 157 | 2014 |
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 | 128 | 2017 |
Learning to count leaves in rosette plants MV Giuffrida, M Minervini, SA Tsaftaris BMVA press, 2016 | 123 | 2016 |
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 | 123 | 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 | 114 | 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 | 114 | 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 | 112 | 2017 |
Metrics reloaded: Pitfalls and recommendations for image analysis validation L Maier-Hein, B Menze arXiv. org, 2022 | 109 | 2022 |