Sotirios Tsaftaris

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Rohan DharmakumarExecutive Director and Charles Fish Chair in Cardiology, Krannert Cardiovascular Research CenterVerified email at iu.edu
Aggelos K KatsaggelosJoseph Cummings Professor of ECE (Courtesy CS and Radiology), Northwestern UniversityVerified email at eecs.northwestern.edu
Mario Valerio GiuffridaEdinburgh Napier UniversityVerified email at napier.ac.uk
Massimo MinerviniCET Electronics, IMT LuccaVerified email at imtlucca.it
Debiao Li, PhDDirector, Biomedical Imaging Research Institute, Cedars-Sinai, Professor of Medicine, UCLAVerified email at cshs.org
Agis ChartsiasUltromics LtdVerified email at ultromics.com
Hanno ScharrForschungszentrum JülichVerified email at fz-juelich.de
Avinash KaliCedars-Sinai Medical CenterVerified email at cshs.org
Dr Giorgos PapanastasiouManager in Data Science, Pfizer Center for Digital InnovationVerified email at pfizer.com
Peter DoernerVerified email at ed.ac.uk
Alessandro GozziFunctional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, RoveretoVerified email at iit.it
Hsin-Jung (Randy) YangCedars Sinai Medical CenterVerified email at cshs.org
Ilkay OksuzIstanbul Technical University, King's College LondonVerified email at itu.edu.tr
Alison Q. O'NeilCanon Medical Research Europe / University of EdinburghVerified email at mre.medical.canon
Scott SempleUniversity of EdinburghVerified email at ed.ac.uk
Behzad Sharifassociate professor & director of cardiovascular MRI research, indiana university school of medicineVerified email at iu.edu
Andrei DobrescuUniversity of EdinburghVerified email at ed.ac.uk
Xiaoming BiSiemens HealthcareVerified email at siemens-healthineers.com
Angelo BifoneUniversity of Torino and Istituto Italiano di TecnologiaVerified email at iit.it
Chengjia WangUniversity of EdinburghVerified email at ed.ac.uk

Sotirios Tsaftaris

Chair in Machine Learning and Computer Vision, The University of Edinburgh

Verified email at ed.ac.uk - Homepage

deep learning computer vision machine learning image analysis medical image computing


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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	235	2011
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	230	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	214	2016
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	189	2015
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	170	2017
Image-based plant phenotyping with incremental learning and active contours M Minervini, MM Abdelsamea, SA Tsaftaris Ecological Informatics 23, 35-48, 2014	129	2014
Adversarial image synthesis for unpaired multi-modal cardiac data A Chartsias, T Joyce, R Dharmakumar, SA Tsaftaris International workshop on simulation and synthesis in medical imaging, 3-13, 2017	127	2017
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	113	2014
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	102	2013
Learning to count leaves in rosette plants MV Giuffrida, M Minervini, SA Tsaftaris BMVA press, 2016	101	2016
Machine learning for plant phenotyping needs image processing SA Tsaftaris, M Minervini, H Scharr Trends in plant science 21 (12), 989-991, 2016	96	2016
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	90	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	82	2017
Leveraging multiple datasets for deep leaf counting A Dobrescu, M Valerio Giuffrida, SA Tsaftaris Proceedings of the IEEE international conference on computer vision …, 2017	82	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	80	2019
Annotated image datasets of rosette plants H Scharr, M Minervini, A Fischbach, SA Tsaftaris European conference on computer vision. Zürich, Suisse, 6-12, 2014	77	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	76	2017
Compressed-domain video watermarking of MPEG streams D Simitopoulos, SA Tsaftaris, NV Boulgouris, MG Strintzis Proceedings. IEEE International Conference on Multimedia and Expo 1, 569-572, 2002	75	2002
Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge VM Campello, P Gkontra, C Izquierdo, C Martín-Isla, A Sojoudi, PM Full, ... IEEE Transactions on Medical Imaging 40 (12), 3543-3554, 2021	73	2021
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	66	2018

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