Edinburgh Research Explorer

Dr Sotirios Tsaftaris

Chancellor's Fellow & Reader

  1. 2018
  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 2017
  8. 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

  9. 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

  10. 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

  11. Leveraging multiple datasets for deep leaf counting

    Dobrescu, A., Giuffrida, M. V. & Tsaftaris, S. 1 Sep 2017 (Accepted/In press) International Conference on Computer Vision: Computer Vision Problems in Plant Phenotyping (workshop). IEEE Xplore, 8 p.

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

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