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

  55. 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

  56. 2014
  57. 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

  58. 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

  59. 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

  60. 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

  61. 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

  62. 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

  63. 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

  64. Structured dictionaries for ischemia estimation in cardiac BOLD MRI at rest

    Rusu, C. & Tsaftaris, S. A., 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Springer-Verlag, Vol. 8674 LNCS. p. 562-569 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8674 LNCS, no. PART 2).

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

  65. Synthetic generation of myocardial blood-oxygen-level-dependent MRI time series via structural sparse decomposition modeling

    Rusu, C., Morisi, R., Boschetto, D., Dharmakumar, R. & Tsaftaris, S. A., 2014, In : IEEE Transactions on Medical Imaging. 33, 7, p. 1422-1433 12 p., 6777337.

    Research output: Contribution to journalArticle

  66. 2013
  67. Application-aware approach to compression and transmission of H.264 encoded video for automated and centralized transportation surveillance

    Chen, Z., Tsaftaris, S. A., Soyak, E. & Katsaggelos, A. K., Dec 2013, In : IEEE Transactions on Intelligent Transportation Systems. 14, 4, p. 2002-2007 6 p., 6544640.

    Research output: Contribution to journalArticle

  68. Iron Deposition following Chronic Myocardial Infarction as a Substrate for Cardiac Electrical Anomalies: Initial Findings in a Canine Model

    Cokic, I., Kali, A., Wang, X., Yang, H. J., Tang, R. L. Q., Thajudeen, A., Shehata, M., Amorn, A. M., Liu, E., Stewart, B., Bennett, N., Harlev, D., Tsaftaris, S. A., Jackman, W. M., Chugh, S. S. & Dharmakumar, R., 16 Sep 2013, In : PLoS ONE. 8, 9, e73193.

    Research output: Contribution to journalArticle

  69. Chronic manifestation of postreperfusion intramyocardial hemorrhage as regional iron deposition: A cardiovascular magnetic resonance study with ex vivo validation

    Kali, A., Kumar, A., Cokic, I., Tang, R. L. Q., Tsaftaris, S. A., Friedrich, M. G. & Dharmakumar, R., Mar 2013, In : Circulation: Cardiovascular Imaging. 6, 2, p. 218-228 11 p.

    Research output: Contribution to journalArticle

  70. Detecting myocardial ischemia at rest with cardiac phase-resolved blood oxygen level-dependent cardiovascular magnetic resonance

    Tsaftaris, S. A., Zhou, X., Tang, R., Li, D. & Dharmakumar, R., Mar 2013, In : Circulation: Cardiovascular Imaging. 6, 2, p. 311-319 9 p.

    Research output: Contribution to journalArticle

  71. Active contour model driven by globally signed region pressure force

    Abdelsamea, M. M. & Tsaftaris, S. A., 2013, 2013 18th International Conference on Digital Signal Processing, DSP 2013. 6622691

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

  72. Application-aware image compression for low cost and distributed plant phenotyping

    Minervini, M. & Tsaftaris, S. A., 2013, 2013 18th International Conference on Digital Signal Processing, DSP 2013. 6622670

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

  73. Estimation of scribble placement for painting colorization

    Rusu, C. & Tsaftaris, S. A., 2013, International Symposium on Image and Signal Processing and Analysis, ISPA. Institute of Electrical and Electronics Engineers (IEEE), p. 564-569 6 p. 06703804

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

  74. Learning computationally efficient approximations of complex image segmentation metrics

    Minervini, M., Rusu, C. & Tsaftaris, S. A., 2013, International Symposium on Image and Signal Processing and Analysis, ISPA. Institute of Electrical and Electronics Engineers (IEEE), p. 60-65 6 p. 06703715

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

  75. 2012
  76. Chronic Iron Deposition following Acute Hemorrhagic Myocardial Infarction: A Cardiovascular Magnetic Resonance Study

    Kali, A., Kumar, A., Cokic, I., Tang, R., Tsaftaris, S., Friedrich, M. & Dharmakumar, R., 20 Nov 2012, In : Circulation. 126, 21, 3 p.

    Research output: Contribution to journalMeeting abstract

  77. Ischemic extent as a biomarker for characterizing severity of coronary artery stenosis with blood oxygen-sensitive MRI

    Tsaftaris, S. A., Tang, R., Zhou, X., Li, D. & Dharmakumar, R., Jun 2012, In : Journal of Magnetic Resonance Imaging. 35, 6, p. 1338-1348 11 p.

    Research output: Contribution to journalArticle

  78. Mouse neuroimaging phenotyping in the cloud

    Minervini, M., Damiano, M., Tucci, V., Bifone, A., Gozzi, A. & Tsaftaris, S. A., 2012, 2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012. p. 55-60 6 p. 6469527

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

  79. Myocardial blood-oxygen-level-dependent magnetic resonance imaging with balanced steady-state free precession imaging approaches

    Dharmakumar, R., Tsaftaris, S. A. & Li, D., 2012, In : Open Medical Imaging Journal. 6, SPEC.ISS.1, p. 31-38 8 p.

    Research output: Contribution to journalArticle

  80. Tracking-optimal error control schemes for H.264 compressed video for vehicle surveillance

    Chen, Z., Soyak, E., Tsaftaris, S. A. & Katsaggelos, A. K., 2012, European Signal Processing Conference. p. 1900-1904 5 p. 6334202

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

  81. 2011
  82. Detecting Myocardial Ischemic Territories in the Setting of Acute Coronary Obstructions at Rest with Cardiac Phase-Resolved Blood Oxygen Level Dependent (CP-BOLD) MRI

    Tsaftaris, S., Zhou, X., Tang, R., Li, D. & Dharmakumar, R., 22 Nov 2011, In : Circulation. 124, 21, 2 p.

    Research output: Contribution to journalMeeting abstract

  83. Low-Complexity Tracking-Aware H. 264 Video Compression for Transportation Surveillance

    Soyak, E., Tsaftaris, S. A. & Katsaggelos, A. K., Oct 2011, In : IEEE Transactions on Circuits and Systems for Video Technology. 21, 10, p. 1378-1389 12 p.

    Research output: Contribution to journalArticle

  84. Colorizing a Masterpiece

    Tsaftaris, S. A., Lister, K. H., Fiedler, I., Casadio, F. & Katsaggelos, A. K., May 2011, In : IEEE Signal Processing Magazine. 28, 3, 7 p.

    Research output: Contribution to journalArticle

  85. T-2-Weighted STIR Imaging of Myocardial Edema Associated With Ischemia-Reperfusion Injury: The Influence of Proton Density Effect on Image Contrast

    Zhou, X., Rundell, V., Liu, Y., Tang, R., Klein, R., Shah, S., Zuehlsdorff, S., Tsaftaris, S. A., Li, D. & Dharmakumar, R., Apr 2011, In : Journal of Magnetic Resonance Imaging. 33, 4, p. 962-967 6 p.

    Research output: Contribution to journalArticle

  86. Anomalous video event detection using spatiotemporal context

    Jiang, F., Yuan, J., Tsaftaris, S. A. & Katsaggelos, A. K., Mar 2011, In : Computer Vision and Image Understanding. 115, 3, p. 323-333 11 p.

    Research output: Contribution to journalArticle

  87. CHANNEL PROTECTION FOR H. 264 COMPRESSION IN TRANSPORTATION VIDEO SURVEILLANCE APPLICATIONS

    Soyak, E., Tsaftaris, S. A. & Katsaggelos, A. K., 2011, 2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). NEW YORK: Institute of Electrical and Electronics Engineers (IEEE), 4 p. (IEEE International Conference on Image Processing ICIP).

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

  88. TRACKING-OPTIMIZED QUANTIZATION FOR H.264 COMPRESSION IN TRANSPORTATION VIDEO SURVEILLANCE APPLICATIONS

    Soyak, E., Tsaftaris, S. A. & Katsaggelos, A. K., 2011, 2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). NEW YORK: Institute of Electrical and Electronics Engineers (IEEE), p. 153-156 4 p. (IEEE International Conference on Image Processing ICIP).

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

  89. 2010
  90. On the mechanism of myocardial edema contrast in T2-STIR images

    Zhou, X., Rundell, V., Liu, Y., Tang, R., Klein, R., Giri, S., Shah, S., Tsaftaris, S. A., Zuehlsdorff, S., Simonetti, O., Li, D. & Dharmakumar, R., 1 Dec 2010, In : Journal of Cardiovascular Magnetic Resonance. 12, SUPPL. 1, O19.

    Research output: Contribution to journalArticle

  91. Artifact-Reduced Two-Dimensional Cine Steady State Free Precession for Myocardial Blood-Oxygen-Level-Dependent Imaging

    Zhou, X., Tsaftaris, S. A., Liu, Y., Tang, R., Klein, R., Zuehlsdorff, S., Li, D. & Dharmakumar, R., Apr 2010, In : Journal of Magnetic Resonance Imaging. 31, 4, p. 863-871 9 p.

    Research output: Contribution to journalArticle

  92. Fully Automated Reconstruction of Ungated Ghost Magnetic Resonance Angiograms

    Tsaftaris, S. A., Offerman, E., Edelman, R. R. & Koktzoglou, I., Mar 2010, In : Journal of Magnetic Resonance Imaging. 31, 3, p. 655-662 8 p.

    Research output: Contribution to journalArticle

  93. CONTENT-AWARE H.264 ENCODING FOR TRAFFIC VIDEO TRACKING APPLICATIONS

    Soyak, E., Tsaftaris, S. A. & Katsaggelos, A. K., 2010, 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING. NEW YORK: Institute of Electrical and Electronics Engineers (IEEE), p. 730-733 4 p. (International Conference on Acoustics Speech and Signal Processing ICASSP).

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

  94. QUANTIZATION OPTIMIZED H.264 ENCODING FOR TRAFFIC VIDEO TRACKING APPLICATIONS

    Soyak, E., Tsaftaris, S. A. & Katsaggelos, A. K., 2010, 2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING. NEW YORK: Institute of Electrical and Electronics Engineers (IEEE), p. 1241-1244 4 p. (IEEE International Conference on Image Processing ICIP).

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

  95. VIDEO ANOMALY DETECTION IN SPATIOTEMPORAL CONTEXT

    Jiang, F., Yuan, J., Tsaftaris, S. A. & Katsaggelos, A. K., 2010, 2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING. NEW YORK: Institute of Electrical and Electronics Engineers (IEEE), p. 705-708 4 p. (IEEE International Conference on Image Processing ICIP).

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

  96. 2009
  97. Dual-contrast cellular magnetic resonance imaging

    Dharmakumar, R., Zhang, Z., Koktzoglou, I., Tsaftaris, S. A. & Li, D., 3 Oct 2009, In : Molecular imaging. 8, 5, p. 254-263 10 p.

    Research output: Contribution to journalArticle

  98. Retrieval Efficiency of DNA-Based Databases of Digital Signals

    Tsaftaris, S. A. & Katsaggelos, A. K., Sep 2009, In : IEEE transactions on nanobioscience. 8, 3, p. 259-270 12 p.

    Research output: Contribution to journalArticle

  99. Plant phenotyping with low cost digital cameras and image analytics

    Tsaftaris, S. A. & Noutsos, C., 2009, Information technologies in environmental engineering. Springer-Verlag, Vol. 2. p. 238-251 14 p. (Environmental Science and Engineering).

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

  100. 2008
  101. Restoration of the cantilever bowing distortion in Atomic Force Microscopy images

    Tsaftaris, S. A., Zujovic, J. & K. Katsaggelos, A., 1 Dec 2008, EURASIP. (European Signal Processing Conference).

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

  102. The not so digital future of digital signal processing

    Tsaftaris, S. A. & Katsaggelos, A. K., Mar 2008, In : Proceedings of the IEEE. 96, 3, p. 375-377 3 p.

    Research output: Contribution to journalEditorial

  103. A DYNAMIC PROGRAMMING SOLUTION TO TRACKING AND ELASTICALLY MATCHING LEFT VENTRICULAR WALLS IN CARDIAC CINE MRI

    Tsaftaris, S. A., Andermatt, V., Schlegel, A., Katsaggelos, A. K., Li, D. & Dharmakumar, R., 2008, 2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5. NEW YORK: Institute of Electrical and Electronics Engineers (IEEE), p. 2980-2983 4 p. (IEEE International Conference on Image Processing (ICIP)).

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

  104. AUTOMATED LINE FLATTENING OF ATOMIC FORCE MICROSCOPY IMAGES

    Tsaftaris, S. A., Zujovic, J. & Katsaggelos, A. K., 2008, 2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5. NEW YORK: Institute of Electrical and Electronics Engineers (IEEE), p. 2968-2971 4 p. (IEEE International Conference on Image Processing (ICIP)).

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

  105. LOCAL FEATURE EXTRACTION FOR VIDEO COPY DETECTION IN A DATABASE

    Maani, E., Tsaftaris, S. A. & Katsaggelos, A. K., 2008, 2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5. NEW YORK: Institute of Electrical and Electronics Engineers (IEEE), p. 1716-1719 4 p. (IEEE International Conference on Image Processing (ICIP)).

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

  106. 2007
  107. Retrieval accuracy of very large DNA-based databases of digital signals

    Tsaftaris, S. A. & Katsaggelos, A. K., 1 Dec 2007, 15th European Signal Processing Conference, EUSIPCO 2007 - Proceedings. p. 1561-1565 5 p.

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

  108. DNA microarray image intensity extraction using eigenspots

    Tsaftaris, S. A., Ahuja, R., Shiell, D. & Katsaggelos, A. K., 2007, 2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7. NEW YORK: Institute of Electrical and Electronics Engineers (IEEE), p. 3061-3064 4 p. (IEEE International Conference on Image Processing ICIP).

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

  109. 2006
  110. Joint source-channel coding for wireless object-based video communications utilizing data hiding

    Wang, H., Tsaftaris, S. A. & Katsaggelos, A. K., Aug 2006, In : IEEE Transactions on Image Processing. 15, 8, p. 2158-2169 12 p.

    Research output: Contribution to journalArticle

  111. DNA hybridization as a similarity criterion for querying digital signals stored in DNA databases

    Tsaftaris, S. A., Hatzimanikatis, V. & Katsaggelos, A. K., 2006, 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13. NEW YORK: Institute of Electrical and Electronics Engineers (IEEE), p. 2332-2335 4 p. (International Conference on Acoustics Speech and Signal Processing (ICASSP)).

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

  112. 2005
  113. On designing DNA databases for the storage and retrieval of digital signals

    Tsaftaris, SA. & Katsaggelos, AK., 2005, ADVANCES IN NATURAL COMPUTATION, PT 2, PROCEEDINGS. Wang, L., Chen, K. & Ong, YS. (eds.). BERLIN: Springer-Verlag Berlin Heidelberg, p. 1192-1201 10 p. (LECTURE NOTES IN COMPUTER SCIENCE; vol. 3611).

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

  114. 2004
  115. How can DNA computing be applied to digital signal processing?

    Tsaftaris, SA., Katsaggelos, AK., Pappas, TN. & Papoutsakis, ET., Nov 2004, In : IEEE Signal Processing Magazine. 21, 6, p. 57-61 5 p.

    Research output: Contribution to journalEditorial

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