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., 7 Aug 2019, (Accepted/In press) 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

  22. Unsupervised Myocardial Segmentation for Cardiac BOLD

    Oksuz, I., Mukhopadhyay, A., Dharmakumar, R. & Tsaftaris, S., Nov 2017, In : IEEE Transactions on Medical Imaging. 36, 11, p. 2228 - 2238

    Research output: Contribution to journalArticle

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. Phenotiki: An open software and hardware platform for affordable and easy image-based phenotyping of rosette-shaped plants

    Minervini, M., Giuffrida, M. V., Perata, P. & Tsaftaris, S., 2017, In : The Plant Journal.

    Research output: Contribution to journalArticle

  31. 2016
  32. Machine Learning for Plant Phenotyping Needs Image Processing

    Tsaftaris, S., Minervini, M. & Scharr, H., Dec 2016, In : Trends in plant science. 21, 12, p. 989–991

    Research output: Contribution to journalLetter

  33. Simulation and Synthesis in Medical Imaging: First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings

    Tsaftaris, S., Frangi, A., Prince, J. & Gooya, A., Oct 2016, Springer International Publishing. 178 p. (Lecture Notes in Computer Science)

    Research output: Book/ReportScholarly edition

  34. Rotation-Invariant Restricted Boltzmann Machine Using Shared Gradient Filters

    Tsaftaris, S. & Giuffrida, M. V., 6 Sep 2016, Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II. Springer International Publishing, (Theoretical Computer Science and General Issues).

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

  35. Supporting Autonomic Management of Clouds: Service Clustering with Random Forest

    Uriarte, R. B., Tiezzi, F. & Tsaftaris, S., Sep 2016, In : IEEE Transactions on Network and Service Management.

    Research output: Contribution to journalArticle

  36. Whole Image Synthesis using a Deep Encoder-Decoder Network

    Sevetlidis, V., Giuffrida, M. V. & Tsaftaris, S., 10 Aug 2016, Simulation and Synthesis in Medical Imaging: First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings. Springer International Publishing

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

  37. Semi-automated registration-based anatomical labelling, voxel based morphometry and cortical thickness mapping of the mouse brain

    Pagani, M., Damiano, M., Tsaftaris, S. & Gozzi, A., 15 Jul 2016, In : Journal of Neuroscience Methods.

    Research output: Contribution to journalArticle

  38. Special issue on computer vision and image analysis in plant phenotyping

    Scharr, H., Dee, H., French, A. P. & Tsaftaris, S. A., 1 Jul 2016, In : Machine Vision and Applications. 27, 5, p. 607-609 3 p.

    Research output: Contribution to journalEditorial

  39. 2015
  40. Large-scale analysis of neuroimaging data on commercial clouds with content-aware resource allocation strategies

    Minervini, M., Rusu, C., Damiano, M., Tucci, V., Bifone, A., Gozzi, A. & Tsaftaris, S. A., 1 Nov 2015, In : International Journal of High Performance Computing Applications. 29, 4, p. 473-488 16 p.

    Research output: Contribution to journalArticle

  41. An interactive tool for semi-automated leaf annotation

    Minervini, M., Giuffrida, M. V. & Tsaftaris, S., 1 Sep 2015, Proceedings of the Computer Vision Problems in Plant Phenotyping (CVPPP). S. A. Tsaftaris, H. S. & Pridmore, T. (eds.). BMVA Press, p. 6.1-6.13

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

  42. Learning to Count Leaves in Rosette Plants

    Giuffrida, M. V., Minervini, M. & Tsaftaris, S., 1 Sep 2015, Proceedings of the Computer Vision Problems in Plant Phenotyping (CVPPP). S. A. Tsaftaris, H. S. & Pridmore, T. (eds.). BMVA Press, p. 1.1-1.13

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

  43. COMT Genetic Reduction Produces Sexually Divergent Effects on Cortical Anatomy and Working Memory in Mice and Humans

    Sannino, S., Gozzi, A., Cerasa, A., Piras, F., Scheggia, D., Manago, F., Damiano, M., Galbusera, A., Erickson, L. C., Tonelli, D. D. P., Bifone, A., Tsaftaris, S. A., Caltagirone, C., Weinberger, D. R., Spalletta, G. & Papaleo, F., Sep 2015, In : Cerebral Cortex. 25, 9, p. 2529-2541 13 p.

    Research output: Contribution to journalArticle

  44. Service clustering for autonomic clouds using random forest

    Uriarte, R. B., Tsaftaris, S. & Tiezzi, F., 7 Jul 2015, Proceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015. Institute of Electrical and Electronics Engineers Inc., p. 515-524 10 p. 7152517

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

  45. Image analysis: The new bottleneck in plant phenotyping [applications corner]

    Minervini, M., Scharr, H. & Tsaftaris, S. A., 1 Jul 2015, In : IEEE Signal Processing Magazine. 32, 4, p. 126-131 6 p., 7123050.

    Research output: Contribution to journalArticle

  46. Dictionary learning for unsupervised identification of ischemic territories in CP-BOLD Cardiac MRI at rest

    Bevilacqua, M., Rusu, C., Dharmakumar, R. & Tsaftaris, S., 3 Feb 2015, In : Journal of Cardiovascular Magnetic Resonance. 17, Suppl 1, p. 1-2 2 p., Q13.

    Research output: Contribution to journalMeeting abstract

  47. Whole-heart, free-breathing, three-dimensional myocardial BOLD MRI at 3T with simultaneous 13N-ammonia PET in canines

    Yang, H. J., Dey, D., Sykes, J., Butler, J., Kali, A., Cokic, I., Sharif, B., Li, D., Tsaftaris, S., Slomka, P., Prato, F. S. & Dharmakumar, R., 3 Feb 2015, In : Journal of Cardiovascular Magnetic Resonance. p. 1-2 2 p.

    Research output: Contribution to journalMeeting abstract

  48. Unsupervised and supervised approaches to color space transformation for image coding

    Minervini, M., Rusu, C. & Tsaftaris, S. A., 28 Jan 2015, 2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc., p. 5576-5580 5 p. 7026128

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

  49. Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI

    Mukhopadhyay, A., Oksuz, I., Bevilacqua, M., Dharmakumar, R. & Tsaftaris, S. A., 2015, FUNCTIONAL IMAGING AND MODELING OF THE HEART (FIMH 2015). VanAssen, H., Bovendeerd, P. & Delhaas, T. (eds.). Springer-Verlag Berlin Heidelberg, p. 189-197 9 p. (Lecture Notes in Computer Science; vol. 9126).

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

  50. Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015

    Oksuz, I., Mukhopadhyay, A., 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. 9350. p. 205-213 9 p. (Lecture Notes in Computer Science).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  51. Dictionary-driven Ischemia Detection from Cardiac Phase-Resolved Myocardial BOLD MRI at Rest

    Bevilacqua, M., Dharmakumar, R. & Tsaftaris, S. A., 2015, In : IEEE Transactions on Medical Imaging. PP, 99, p. 1-1 1 p.

    Research output: Contribution to journalArticle

  52. Finely-grained annotated datasets for image-based plant phenotyping

    Minervini, M., Fischbach, A., Scharr, H. & Tsaftaris, S. A., 2015, In : Pattern Recognition Letters.

    Research output: Contribution to journalArticle

  53. 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

  54. 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

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