Edinburgh Research Explorer

Prof Sotirios Tsaftaris

Personal Chair of Machine Learning and Computer Vision

  1. 2019
  2. The Generalized Complex Kernel Least-Mean-Square Algorithm

    Boloix-Tortosa, R., Murillo-Fuentes, J. J. . & Tsaftaris, S., 23 Aug 2019, In : IEEE Transactions on Signal Processing.

    Research output: Contribution to journalArticle

  3. Disentangled representation learning in cardiac image analysis

    Chartsias, A., Joyce, T., Papanastasiou, G., Semple, S., Williams, M., Newby, D. E., Dharmakumar, R. & Tsaftaris, S. A., 18 Jul 2019, In : Medical image analysis. 1 p., 101535.

    Research output: Contribution to journalArticle

  4. Adversarial Large-Scale Root Gap Inpainting

    Chen, H., Valerio Giuffrida, M., Doerner, P. & Tsaftaris, S. A., 1 Jun 2019, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.

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

  5. Leaf Counting Without Annotations Using Adversarial Unsupervised Domain Adaptation

    Valerio Giuffrida, M., Dobrescu, A., Doerner, P. & Tsaftaris, S. A., 1 Jun 2019, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.

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

  6. Understanding Deep Neural Networks for Regression in Leaf Counting

    Dobrescu, A., Valerio Giuffrida, M. & Tsaftaris, S. A., 1 Jun 2019, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.

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

  7. 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

  8. 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

  9. 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)

  10. Multimodal cardiac segmentation using disentangled representation learning

    Chartsias, A., Papanastasiou, G., Wang, C., Stirrat, C., Semple, S., Newby, D., Dharmakumar, R. & Tsaftaris, S., 2019.

    Research output: Contribution to conferencePaper

  11. 2018
  12. 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., 26 Sep 2018, International Conference on Medical Image Computing and Computer-Assisted Intervention . (Lecture Notes in Computer Science).

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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 2017
  21. 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

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