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

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