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

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