Edinburgh Research Explorer

Dr Sotirios Tsaftaris

Chancellor's Fellow & Reader

  1. 2019
  2. Accurate needle-free assessment of myocardial oxygenation for ischemic heart disease in canines using magnetic resonance imaging

    Yang, H-J., Oksuz, I., Dey, D., Sykes, J., Klein, M. L., Butler, J., Kovacs, M. S., Sobczyk, O., Cokic, I., Slomka, P. J., Bi, X., Li, D., Tighiouart, M., Tsaftaris, S. A., Prato, F. S., Fisher, J. A. & Dharmakumar, R., 29 May 2019, In : Science translational medicine. 11, 494, p. eaat4407

    Research output: Contribution to journalArticle

  3. Sharing the Right Data Right: A Symbiosis with Machine Learning

    Tsaftaris, S. A. & Scharr, H., Feb 2019, In : Trends in plant science. 24, 2

    Research output: Contribution to journalArticle

  4. 8 - Cardiovascular Magnetic Resonance Assessment of Myocardial Oxygenation

    Dharmakumar, R., Tsaftaris, S., Yang, H. J. & Li, D., 2019, Cardiovascular Magnetic Resonance: A Companion to Braunwald's Heart Disease. 3 ed. p. 84-96

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  5. 2018
  6. Pheno-Deep Counter: a unified and versatile deep learning architecture for leaf counting

    Giuffrida, M., Doerner, P. & Tsaftaris, S., 12 Aug 2018, In : The Plant Journal. 11 p.

    Research output: Contribution to journalArticle

  7. Deep Multi-Class Segmentation Without Ground-Truth Labels

    Joyce, T., Chartsias, A. & Tsaftaris, S., Jul 2018, Medical Imaging with Deep Learning: Amsterdam. Amsterdam

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  8. Root Gap Correction with a Deep Inpainting Model

    Chen, H., Giuffrida, M., Doerner, P. & Tsaftaris, S., Jul 2018, (Accepted/In press)

    Research output: Contribution to conferencePaper

  9. Editorial for Special Issue on Reproducible Research

    Gerek, O. N., Boashash, B., Leszczuk, M., Tsaftaris, S. A., Armour, W. & Wallom, D., Jun 2018, In : Digital Signal Processing. 77, p. 1-4 4 p.

    Research output: Contribution to journalEditorial

  10. Citizen crowds and experts: Observer variability in image-based plant phenotyping

    Giuffrida, M., Chen, F., Scharr, H. & Tsaftaris, S., 9 Feb 2018, In : Plant Methods.

    Research output: Contribution to journalArticle

  11. Leveraging multiple datasets for deep leaf counting

    Dobrescu, A., Giuffrida, M. V. & Tsaftaris, S., 23 Jan 2018, International Conference on Computer Vision: Computer Vision Problems in Plant Phenotyping (workshop). Institute of Electrical and Electronics Engineers (IEEE), 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  12. Joint myocardial registration and segmentation of cardiac BOLD MRI

    Oksuz, I., Dharmakumar, R. & Tsaftaris, S. A., 1 Jan 2018, Statistical Atlases and Computational Models of the Heart: ACDC and MMWHS Challenges - 8th International Workshop, STACOM 2017, Revised Selected Papers. Springer-Verlag, p. 12-20 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10663 LNCS)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  13. Factorised spatial representation learning: application in semi-supervised myocardial segmentation.

    Chartsias, A., Joyce, T., Papanastasiou, G., Semple, S., Williams, M., Newby, D., Dharmakumar, R. & Tsaftaris, S., 2018, In : Lecture Notes in Computer Science.

    Research output: Contribution to journalArticle

  14. 2017
  15. A "Do-It-Yourself" phenotyping system: measuring growth and morphology throughout the diel cycle in rosette shaped plants

    Dobrescu, A., Scorza, L. C. T., Tsaftaris, S. A. & McCormick, A. J., 8 Nov 2017, In : Plant Methods. 13, p. 95-108 12 p.

    Research output: Contribution to journalArticle

  16. Adversarial Image Synthesis for Unpaired Multi-Modal Cardiac Data

    Chartsias, A., Joyce, T., Dharmakumar, R. & Tsaftaris, S. A., 26 Sep 2017, Simulation and Synthesis in Medical Imaging: Second International Workshop, SASHIMI 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10, 2017, Proceedings. Tsaftaris, S., Gooya, A., Frangi, A. & Prince, J. (eds.). 1 ed. Springer International Publishing, Vol. 10557, p. 3-13 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10557 LNCS)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  17. Robust Multi-Modal MR Image Synthesis

    Joyce, T., Chartsias, A. & Tsaftaris, S., 4 Sep 2017, Medical Image Computing and Computer-Assisted Intervention-MICCAI 2017 : 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III. Springer-Verlag, p. 347-355 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10435 LNCS)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  18. Arterial CO2 as a Potent Coronary Vasodilator: A Preclinical PET/MR Validation Study with Implications for Cardiac Stress Testing

    Yang, H-J., Dey, D., Sykes, J., Klein, M., Butler, J., Kovacs, M., Sobczyk, O., Sharif, B., Bi, X., Kali, A., Cokic, I., Tang, R., Yumul, R., Conte, A., Tsaftaris, S., Tighiouart, M., Li, D., Slomka, P. J., Berman, D., Prato, F. & 2 othersFisher, J. & Dharmakumar, R., 2 Mar 2017, In : Journal of Nuclear Medicine.

    Research output: Contribution to journalArticle

  19. Statistical shape modeling of the left ventricle: myocardial infarct classification challenge

    Suinesiaputra, A., Ablin, P., Alba, X., Alessandrini, M., Allen, J., Bai, W., Cimen, S., Claes, P., Cowan, B., D'hooge, J., Duchateau, N., Ehrhardt, J., Frangi, A., Gooya, A., Grau, V., Lekadir, K., Lu, A., Mukhopadhyay, A., Oksuz, I., Parajuli, N. & 16 othersPennec, X., Pereanez, M., Pinto, C., Piras, P., Rohe, M-M., Rueckert, D., Saring, D., Sermesant, M., Siddiqi, K., Tabassian, M., Teresi, L., Tsaftaris, S., Wilms, M., Young, A., Zhang, X. & Medrano-Gracia, P., 17 Jan 2017, In : IEEE Journal of Biomedical and Health Informatics.

    Research output: Contribution to journalArticle

  20. Preface

    Tsaftaris, S. A., Gooya, A., Frangi, A. F. & Prince, J. L., 1 Jan 2017, In : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10557 LNCS, p. V-VI

    Research output: Contribution to journalEditorial

  21. ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network

    Giuffrida, M. V., Scharr, H. & Tsaftaris, S., 2017, (Accepted/In press) International Conference on Computer Vision: Computer Vision Problems in Plant Phenotyping Workshop. Institute of Electrical and Electronics Engineers (IEEE), 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  22. Multimodal MR Synthesis via Modality-Invariant Latent Representation

    Chartsias, A., Joyce, T., Giuffrida, M. V. & Tsaftaris, S., 2017, In : IEEE Transactions on Medical Imaging.

    Research output: Contribution to journalArticle

  23. Phenotiki: An open software and hardware platform for affordable and easy image-based phenotyping of rosette-shaped plants

    Minervini, M., Giuffrida, M. V., Perata, P. & Tsaftaris, S., 2017, In : The Plant Journal.

    Research output: Contribution to journalArticle

  24. Unsupervised Myocardial Segmentation for Cardiac BOLD

    Oksuz, I., Mukhopadhyay, A., Dharmakumar, R. & Tsaftaris, S., 2017, In : IEEE Transactions on Medical Imaging.

    Research output: Contribution to journalArticle

  25. 2016
  26. Machine Learning for Plant Phenotyping Needs Image Processing

    Tsaftaris, S., Minervini, M. & Scharr, H., Dec 2016, In : Trends in plant science. 21, 12, p. 989–991

    Research output: Contribution to journalLetter

  27. Simulation and Synthesis in Medical Imaging: First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings

    Tsaftaris, S., Frangi, A., Prince, J. & Gooya, A., Oct 2016, Springer International Publishing. 178 p. (Lecture Notes in Computer Science)

    Research output: Book/ReportScholarly edition

  28. Rotation-Invariant Restricted Boltzmann Machine Using Shared Gradient Filters

    Tsaftaris, S. & Giuffrida, M. V., 6 Sep 2016, Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II. Springer International Publishing, (Theoretical Computer Science and General Issues)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  29. Whole Image Synthesis using a Deep Encoder-Decoder Network

    Sevetlidis, V., Giuffrida, M. V. & Tsaftaris, S., 10 Aug 2016, Simulation and Synthesis in Medical Imaging: First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings. Springer International Publishing

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  30. Semi-automated registration-based anatomical labelling, voxel based morphometry and cortical thickness mapping of the mouse brain

    Pagani, M., Damiano, M., Tsaftaris, S. & Gozzi, A., 15 Jul 2016, In : Journal of Neuroscience Methods.

    Research output: Contribution to journalArticle

  31. Special issue on computer vision and image analysis in plant phenotyping

    Scharr, H., Dee, H., French, A. P. & Tsaftaris, S. A., 1 Jul 2016, In : Machine Vision and Applications. 27, 5, p. 607-609 3 p.

    Research output: Contribution to journalEditorial

  32. Supporting Autonomic Management of Clouds: Service Clustering with Random Forest

    Uriarte, R. B., Tiezzi, F. & Tsaftaris, S., May 2016, In : IEEE Transactions on Network and Service Management.

    Research output: Contribution to journalArticle

  33. 2015
  34. Large-scale analysis of neuroimaging data on commercial clouds with content-aware resource allocation strategies

    Minervini, M., Rusu, C., Damiano, M., Tucci, V., Bifone, A., Gozzi, A. & Tsaftaris, S. A., 1 Nov 2015, In : International Journal of High Performance Computing Applications. 29, 4, p. 473-488 16 p.

    Research output: Contribution to journalArticle

  35. An interactive tool for semi-automated leaf annotation

    Minervini, M., Giuffrida, M. V. & Tsaftaris, S., 1 Sep 2015, Proceedings of the Computer Vision Problems in Plant Phenotyping (CVPPP). S. A. Tsaftaris, H. S. & Pridmore, T. (eds.). BMVA Press, p. 6.1-6.13

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  36. Learning to Count Leaves in Rosette Plants

    Giuffrida, M. V., Minervini, M. & Tsaftaris, S., 1 Sep 2015, Proceedings of the Computer Vision Problems in Plant Phenotyping (CVPPP). S. A. Tsaftaris, H. S. & Pridmore, T. (eds.). BMVA Press, p. 1.1-1.13

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  37. COMT Genetic Reduction Produces Sexually Divergent Effects on Cortical Anatomy and Working Memory in Mice and Humans

    Sannino, S., Gozzi, A., Cerasa, A., Piras, F., Scheggia, D., Manago, F., Damiano, M., Galbusera, A., Erickson, L. C., Tonelli, D. D. P., Bifone, A., Tsaftaris, S. A., Caltagirone, C., Weinberger, D. R., Spalletta, G. & Papaleo, F., Sep 2015, In : Cerebral Cortex. 25, 9, p. 2529-2541 13 p.

    Research output: Contribution to journalArticle

  38. Service clustering for autonomic clouds using random forest

    Uriarte, R. B., Tsaftaris, S. & Tiezzi, F., 7 Jul 2015, Proceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015. Institute of Electrical and Electronics Engineers Inc., p. 515-524 10 p. 7152517

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  39. Image analysis: The new bottleneck in plant phenotyping [applications corner]

    Minervini, M., Scharr, H. & Tsaftaris, S. A., 1 Jul 2015, In : IEEE Signal Processing Magazine. 32, 4, p. 126-131 6 p., 7123050

    Research output: Contribution to journalArticle

  40. Dictionary learning for unsupervised identification of ischemic territories in CP-BOLD Cardiac MRI at rest

    Bevilacqua, M., Rusu, C., Dharmakumar, R. & Tsaftaris, S., 3 Feb 2015, In : Journal of Cardiovascular Magnetic Resonance. 17, Suppl 1, p. 1-2 2 p., Q13

    Research output: Contribution to journalMeeting abstract

  41. Whole-heart, free-breathing, three-dimensional myocardial BOLD MRI at 3T with simultaneous 13N-ammonia PET in canines

    Yang, H. J., Dey, D., Sykes, J., Butler, J., Kali, A., Cokic, I., Sharif, B., Li, D., Tsaftaris, S., Slomka, P., Prato, F. S. & Dharmakumar, R., 3 Feb 2015, In : Journal of Cardiovascular Magnetic Resonance. p. 1-2 2 p.

    Research output: Contribution to journalMeeting abstract

  42. Unsupervised and supervised approaches to color space transformation for image coding

    Minervini, M., Rusu, C. & Tsaftaris, S. A., 28 Jan 2015, 2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc., p. 5576-5580 5 p. 7026128

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  43. Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI

    Mukhopadhyay, A., Oksuz, I., Bevilacqua, M., Dharmakumar, R. & Tsaftaris, S. A., 2015, FUNCTIONAL IMAGING AND MODELING OF THE HEART (FIMH 2015). VanAssen, H., Bovendeerd, P. & Delhaas, T. (eds.). Springer-Verlag Berlin Heidelberg, p. 189-197 9 p. (Lecture Notes in Computer Science; vol. 9126)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  44. Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015

    Oksuz, I., Mukhopadhyay, A., Bevilacqua, M., Dharmakumar, R. & Tsaftaris, S. A., 2015, Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015. Navab, N., Hornegger, J., Wells, W. M. & Frangi, A. F. (eds.). Springer International Publishing, Vol. 9350, p. 205-213 9 p. (Lecture Notes in Computer Science)

    Research output: Chapter in Book/Report/Conference proceedingChapter

  45. Dictionary-driven Ischemia Detection from Cardiac Phase-Resolved Myocardial BOLD MRI at Rest

    Bevilacqua, M., Dharmakumar, R. & Tsaftaris, S. A., 2015, In : IEEE Transactions on Medical Imaging. PP, 99, p. 1-1 1 p.

    Research output: Contribution to journalArticle

  46. Finely-grained annotated datasets for image-based plant phenotyping

    Minervini, M., Fischbach, A., Scharr, H. & Tsaftaris, S. A., 2015, In : Pattern Recognition Letters.

    Research output: Contribution to journalArticle

  47. Leaf segmentation in plant phenotyping: a collation study

    Scharr, H., Minervini, M., French, A. P., Klukas, C., Kramer, D. M., Liu, X., Luengo, I., Pape, J-M., Polder, G., Vukadinovic, D., Yin, X. & Tsaftaris, S. A., 2015, In : Machine Vision and Applications. p. 1-22 22 p.

    Research output: Contribution to journalArticle

  48. The significance of image compression in plant phenotyping applications

    Minervini, M., Scharr, H. & Tsaftaris, S. A., 2015, In : Functional Plant Biology. 42, 10, p. 971-988 18 p.

    Research output: Contribution to journalArticle

  49. Unsupervised Myocardial Segmentation for Cardiac MRI: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015

    Mukhopadhyay, A., Oksuz, I., Bevilacqua, M., Dharmakumar, R. & Tsaftaris, S. A., 2015, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015. Navab, N., Hornegger, J., Wells, W. M. & Frangi, A. F. (eds.). Springer International Publishing, Vol. 9351, p. 12-20 9 p. (Lecture Notes in Computer Science)

    Research output: Chapter in Book/Report/Conference proceedingChapter

  50. 2014
  51. Dominant β-catenin mutations cause intellectual disability with recognizable syndromic features

    Tucci, V., Kleefstra, T., Hardy, A., Heise, I., Maggi, S., Willemsen, M. H., Hilton, H., Esapa, C., Simon, M., Buenavista, M. T., McGuffin, L. J., Vizor, L., Dodero, L., Tsaftaris, S., Romero, R., Nillesen, W. N., Vissers, L. E. L. M., Kempers, M. J., Vulto-van Silfhout, A. T., Iqbal, Z. & 16 othersOrlando, M., Maccione, A., Lassi, G., Farisello, P., Contestabile, A., Tinarelli, F., Nieus, T., Raimondi, A., Greco, B., Cantatore, D., Gasparini, L., Berdondini, L., Bifone, A., Gozzi, A., Wells, S. & Nolan, P. M., 1 Apr 2014, In : Journal of Clinical Investigation. 124, 4, p. 1468-1482 15 p.

    Research output: Contribution to journalArticle

  52. Structured dictionaries for ischemia estimation in cardiac BOLD MRI at rest

    Rusu, C. & Tsaftaris, S. A., 1 Jan 2014, In : Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 17, p. 562-569 8 p.

    Research output: Contribution to journalArticle

  53. A novel visualization tool for art history and conservation: Automated colorization of black and white archival photographs of works of art

    Tsaftaris, S. A., Casadio, F., Andral, J. L. & Katsaggelos, A. K., 2014, In : Studies in conservation. 59, 3, p. 125-135 11 p.

    Research output: Contribution to journalArticle

  54. A scientist's guide to cloud computing

    Tsaftaris, S. A., 2014, In : Computing in science & engineering. 16, 1, p. 70-76 7 p., 6756844

    Research output: Contribution to journalArticle

  55. Assessment of myocardial reactivity to controlled hypercapnia with free-breathing T2-prepared cardiac blood oxygen level-dependent MR imaging

    Yang, H. J., Yumul, R., Tang, R., Cokic, I., Klein, M., Kali, A., Sobczyk, O., Sharif, B., Tang, J., Bi, X., Tsaftaris, S. A., Li, D., Conte, A. H., Fisher, J. A. & Dharmakumar, R., 2014, In : Radiology. 272, 2, p. 397-406 10 p.

    Research output: Contribution to journalArticle

Previous 1 2 Next