Edinburgh Research Explorer

Prof Sotirios Tsaftaris

Personal Chair of Machine Learning and Computer Vision

  1. 2015
  2. 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

  3. 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

  4. 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

  5. 2014
  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. Explicit shift-invariant dictionary learning

    Rusu, C., Dumitrescu, B. & Tsaftaris, S. A., 2014, In : IEEE Signal Processing Letters. 21, 1, p. 6-9 4 p., 6655924.

    Research output: Contribution to journalArticle

  12. Image-based plant phenotyping with incremental learning and active contours

    Minervini, M., Abdelsamea, M. M. & Tsaftaris, S. A., 2014, In : Ecological Informatics. 23, p. 35-48 14 p.

    Research output: Contribution to journalArticle

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