Sotirios Tsaftaris

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Rohan DharmakumarExecutive Director and Charles Fisch 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 Jülich, IAS-8Verified email at fz-juelich.de
Alison Q. O'NeilCanon Medical Research Europe / University of EdinburghVerified email at mre.medical.canon
Avinash KaliCedars-Sinai Medical CenterVerified email at cshs.org
Giorgos PapanastasiouManager in Data Science, Pfizer Center for Digital InnovationVerified email at pfizer.com
Hsin-Jung (Randy) YangCedars Sinai Medical CenterVerified email at cshs.org
Alessandro GozziFunctional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, RoveretoVerified email at iit.it
Peter DoernerVerified email at ed.ac.uk
Scott SempleUniversity of EdinburghVerified email at ed.ac.uk
Ilkay OksuzIstanbul Technical University, King's College LondonVerified email at itu.edu.tr
Chengjia WangUniversity of EdinburghVerified email at ed.ac.uk
Behzad Sharifassociate professor & director of cardiovascular MRI research, indiana university school of medicineVerified email at iu.edu
Xiaoming BiSiemens HealthcareVerified email at siemens-healthineers.com
Angelo BifoneUniversity of Torino and Istituto Italiano di TecnologiaVerified email at iit.it
Andrei DobrescuUniversity 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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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	263	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	253	2011
Finely-grained annotated datasets for image-based plant phenotyping M Minervini, A Fischbach, H Scharr, SA Tsaftaris Pattern recognition letters 81, 80-89, 2016	251	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	215	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	210	2017
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	170	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	146	2021
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	143	2020
Image-based plant phenotyping with incremental learning and active contours M Minervini, MM Abdelsamea, SA Tsaftaris Ecological Informatics 23, 35-48, 2014	139	2014
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	129	2014
Machine learning for plant phenotyping needs image processing SA Tsaftaris, M Minervini, H Scharr Trends in plant science 21 (12), 989-991, 2016	117	2016
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	116	2019
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	113	2013
Learning to count leaves in rosette plants MV Giuffrida, M Minervini, SA Tsaftaris BMVA press, 2016	112	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	97	2017
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	95	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	95	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	94	2017
Annotated image datasets of rosette plants H Scharr, M Minervini, A Fischbach, SA Tsaftaris European conference on computer vision. Zürich, Suisse, 6-12, 2014	86	2014
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	77	2021

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