Publications

The following is a chronologically sorted but possibly incomplete publication list. See Google Scholar for a up-to-date list.

Journals

1. Metrics reloaded: recommendations for image analysis validation
Maier-Hein, Lena and Reinke, Annika and Godau, Patrick and others
Nature Methods, 1--18
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2. Understanding metric-related pitfalls in image analysis validation
Reinke, Annika and Tizabi, Minu D and Baumgartner and others
Nature Methods, 1--13
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3. Compositionally Equivariant Representation Learning
Liu, Xiao and Sanchez, Pedro and Thermos, Spyridon and O’Neil, Alison Q and Tsaftaris, Sotirios A
IEEE Transactions on Medical Imaging, 1-1
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4. Neural Networks Memorise Personal Information from One Sample
J. Hartley, P.P. Sanchez, F. Haider, S.A. Tsaftaris
Scientific Reports, vol. 13, no. 1, pp. 21366, 2023
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5. The role of noise in denoising models for anomaly detection in medical images
A. Kascenas, P. Sanchez, P. Schrempf, C. Wang, W. Clackett, S.S. Mikhael, J.P. Voisey, K. Goatman, A. Weir, N. Pugeault, S.A. Tsaftaris, A.Q. O'Neil
Medical Image Analysis, Volume 90, December 2023
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6. GaNDLF: The Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows
S. Pati, S.P. Thakur, İ. E. Hamamcı, U. Baid, B. Baheti, M. Bhalerao, O. Güley, S. Mouchtaris, D. Lang, S.A. Tsaftaris, et al.
Communications Engineering, vol. 2, no. 1, pp. 23, 2023
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7. MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images
L. Li, F. Wu, S.A. Tsaftaris, et al.
Medical Image Analysis, vol. 87, pp. 102808, 2023
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8. Adversarial counterfactual augmentation: application in Alzheimer’s disease classification
T. Xia, P. Sanchez, C. Qin, S.A. Tsaftaris
Frontiers in Radiology, 2022
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9. Cardiac aging synthesis from cross-sectional data with conditional generative adversarial networks
V. Campello, T. Xia, X. Liu, P. Sanchez, C. Martín-Isla, S.E. Petersen, S. Segui, S.A. Tsaftaris, K. Lekadir
Frontiers in Cardiovascular Medicine, 2022
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10. Causal machine learning for healthcare and precision medicine
P. Sanchez, J.P. Voisey, T. Xia, H.I. Watson, A.Q. O’Neil and S.A. Tsaftaris
Royal Society Open Science, 2022
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11. Survey: Leakage and Privacy at Inference Time
M. Jegorova, C. Kaul, C. Mayor, A.Q. O'Neil, A. Weir, R. Murray-Smith, S.A. Tsaftaris
IEEE Transactions on Pattern Analysis & Machine Intelligence, no. 01, pp. 1-20, 5555
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12. Learning Disentangled Representations in the Imaging Domain
X. Liu, P. Sanchez, S. Thermos, A.Q. O'Neil, S.A. Tsaftaris
Medical Image Analysis, Volume 80, 2022
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13. Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts
G. Valvano, A. Leo, S.A. Tsaftaris
Machine Learning for Biomedical Imaging, MICCAI Special Issue, 2022
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14. Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge
V. M. Campello et al.
IEEE Transactions on Medical Imaging, 2021
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15. Complementary Time-Frequency Domain Networks for Dynamic Parallel MR Image Reconstruction
C. Qin, J. Duan, K. Hammernik, J. Schlemper, T. Küstner, R. Botnar, C. Prieto, A. N. Price, J. V. Hajnal, and D. Rueckert
Magnetic Resonance in Medicine, 2021
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16. Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates
G. Valvano, A. Leo, S.A. Tsaftaris
IEEE Transactions on Medical Imaging, vol. 40, no. 8, pp. 1990-2001, Aug. 2021
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17. DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis
C. Wang, G. Yang, G. Papanastasiou, S. A. Tsaftaris, D. E. Newby, C. Gray, G. Macnaught, T. J. MacGillivray
Information Fusion, vol 67, 2021, pp. 147-160,
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18. Disentangle, align and fuse for multimodal and zero-shot image segmentation
A. Chartsias, G. Papanastasiou, C. Wang, S. Semple, D. Newby, R. Dharmakumar, S.A. Tsaftaris
IEEE Transactions on Medical Imaging, Volume: 40, Issue: 3, March 2021
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19. AI in Medical Imaging Informatics: Current Challenges and Future Directions
A. S. Panayides, A. Amini, N. D. Filipovic, A. Sharma, S.A. Tsaftaris, A. Young, D. Foran, N. Do, S. Golemati, T. Kurc, K. Huang, K. S. Nikita, B.P. Veasey, M. Zervakis, J. H. Saltz, C. S. Pattichis
IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 7, 1837-1857, 2020
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20. Pseudo-healthy synthesis with pathology disentanglement and adversarial learning
T. Xia, A. Chartsias, S.A. Tsaftaris
Medical Image Analysis, vol. 64, 2020
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21. Deep Learning for Cardiac Image Segmentation: A Review
C. Chen, C. Qin, H. Qiu, G. Tarroni, J. Duan, W. Bai, D. Rueckert
Frontiers in Cardiovascular Medicine, vol. 7, 2020
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22. Doing More with Less: A Multitask Deep Learning Approach in Plant Phenotyping
A. Dobrescu, M.V. Giuffrida, S.A. Tsaftaris
Frontiers in Plant Science, 11:141
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23. Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning
H. Chen, M.V. Giuffrida, P. Doerner, S.A. Tsaftaris
TBA, submitted
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24. Learning to synthesise the ageing brain without longitudinal data
T. Xia, A. Chartsias, C. Wang, S.A. Tsaftaris
Medical Image Analysis, vol. 73, 102169, October 2021
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25. Unsupervised Rotation Factorization in Restricted Boltzmann Machines
V. Giuffrida, S.A. Tsaftaris
IEEE Transactions on Image Processing, vol. 29, no. 1, pp. 2166-2175, 2020
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26. Disentangled Representation Learning in Cardiac Image Analysis
A. Chartsias, T. Joyce, G. Papanastasiou, S. Semple, M. Williams, D. Newby, R. Dharmakumar, S.A. Tsaftaris
Medical Image Analysis, vol. 58, 2019
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27. Accurate needle-free assessment of myocardial oxygenation for ischemic heart disease in canines using magnetic resonance imaging
H.J. Yang, I. Oksuz, D. Dey, J. Sykes, M. Klein, J. Butler, M. S. Kovacs, O. Sobczyk, I. Cokic, P. J. Slomka, X. Bi, D. Li, M. Tighiouart, S.A. Tsaftaris, F.S. Prato, J. A. Fisher and R. Dharmakumar
Science Translational Medicine, vol. 11, Issue 494, eaat4407, 2019
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28. Affordable and robust phenotyping framework to analyse root system architecture of soil-grown plants
T. Bontpart, C. Concha, M.V. Giuffrida, I. Robertson, K. Admkie, T. Degefu, N. Girma, K. Tesfaye, T. Haileselassie, A. Fikre, M. Fetene, S.A. Tsaftaris, P. Doerner
The Plant Journal, vol. 103, no. 6, Sept. 2020
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29. The Generalized Complex Kernel Least-Mean-Square Algorithm
R. Boloix-Tortosa, J.J. Murillo-Fuentes, S.A. Tsaftaris
IEEE Transactions on Signal Processing, vol. 67, no. 20, pp. 5213 - 5222, 2019
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30. Sharing the Right Data Right: A Symbiosis with Machine Learning
S.A Tsaftaris, H. Scharr
Trends in Plant Science, vol. 24, no. 2, pp. 99-102, 2019
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31. Brain lesion segmentation through image synthesis and outlier detection
C. Bowles, C. Qin, R. Guerrero, R. Gunn, A. Hammers, D.A. Dickie, M. Valdés Hernández, J. Wardlaw, D. Rueckert
NeuroImage: Clinical, vol. 16, 2017
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32. Pheno-Deep Counter: a unified and versatile deep learning architecture for leaf counting
M.V. Giuffrida, P. Doerner, S.A. Tsaftaris
The Plant Journal, In Press. 2018
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33. Editorial for Special Issue on Reproducible Research
Ö.N. Gerek, B. Boashash, M. Leszczuk, S.A. Tsaftaris, W. Armour, D. Wallom
Digital Signal Processing, vol. 77, pp. 1-4, 2018
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34. Editorial for Simulation and Synthesis in Medical Imaging
A. Frangi, S.A. Tsaftaris, J. Prince
IEEE Transactions on Medical Imaging, vol. 37, no. 3, pp. 673-679, 2018
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35. Citizen crowds and experts: observer variability in image-based plant phenotyping
V. Giuffrida, F. Chen, H. Scharr, S.A. Tsaftaris
Plant Methods, vol. 14, no. 12, 2018
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36. White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks
R. Guerrero, C. Qin, O. Oktay, C. Bowles, L. Chen, R. Joules, R. Wolz, M.C. Valdés-Hernández, D.A. Dickie, J. Wardlaw, D. Rueckert
NeuroImage: Clinical, vol. 17, 2018
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37. A large margin algorithm for automated segmentation of white matter hyperintensity
C. Qin, R. Guerrero, C. Bowles, L. Chen, D.A. Dickie, M. del C. Valdes-Hernandez, J. Wardlaw, D. Rueckert
Pattern Recognition, vol. 77, 2018
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38. A 'Do-It-Yourself' phenotyping system: measuring growth and morphology throughout the diel cycle in rosette shaped plants
A. Dobrescu, L.C.T. Scorza, S.A. Tsaftaris, and A. McCormick
Plant Methods, 13:95, 2017
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39. Multimodal MR Synthesis via Modality-Invariant Latent Representation
A. Chartsias, T. Joyce, V. Giuffrida, and S. A. Tsaftaris
IEEE Transactions on Medical Imaging, vol. 37, no. 3, pp. 803-814, 2018
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40. Unsupervised Myocardial Segmentation for Cardiac BOLD
I. Oksuz, A. Mukhopadhyay, R. Dharmakumar and S.A. Tsaftaris
IEEE Transactions on Medical Imaging, vol. 36, no. 11, pp. 2228-2238, 2017
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41. Arterial CO2 Can Potentiate Myocardial Blood Flow to the Same Extent as Adenosine
H.J. Yang, D. Dey, J. Sykes, M. Klein, J. Butler, M. Kovacs, O. Sobczyk, B. Sharif, X. Bi, A. Kali, I. Cokic, R. Tang, R. Yumul, A. Conte, S.A. Tsaftaris, M. Tighiouart, D. Li, P.J. Slomka, D. Berman, F. Prato, J. Fisher, R. Dharmakumar
Journal of Nuclear Medicine, vol. 58. no. 6, pp. 953-960, 2017
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42. Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
C. Qin, J. Schlemper, J. Caballero, A.N. Price, J.V. Hajnal, and D. Rueckert
IEEE Transactions on Medical Imaging, vol. 38, 2019
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43. Statistical shape modeling of the left ventricle: myocardial infarct classification challenge
A. Suinesiaputra, P. Ablin, X. Alba, M. Alessandrini, J. Allen, W. Bai, S. Cimen, P. Claes, B. Cowan, J. D''hooge, N. Duchateau, J. Ehrhardt, A. Frangi, A. Gooya, V. Grau, K. Lekadir, A. Lu, A. Mukhopadhyay, I. Oksuz, N. Parajuli, X. Pennec, M. Pereanez, C. Pinto, P. Piras, M.M. Rohe, D. Rueckert, D. Saring, M. Sermesant, K. Siddiqi, M. Tabassian, L. Teresi, S.A. Tsaftaris, M. Wilms, A. Young, X. Zhang, P. Medrano-Gracia
IEEE Journal of Biomedical and Health Informatics, vol. 22, no. 2, pp. 503-515, 2018
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44. Phenotiki: An open software and hardware platform for affordable and easy image-based phenotyping of rosette-shaped plants
M. Minervini, V. Giuffrida, P. Perata, S.A. Tsaftaris
The Plant Journal, vol. 90, no. 1, pp. 204-216, 2017
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45. Machine Learning for Plant Phenotyping Needs Image Processing
S.A. Tsaftaris, M. Minervini, H. Scharr
Trends in Plant Science, vol. 21, no. 12, pp. 989-991, 2016
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46. Finely-grained annotated datasets for image-based plant phenotyping
M. Minervini, A. Fischbach, H. Scharr, S. A. Tsaftaris
Pattern Recognition Letters, vol. 81, no. 1, pp. 80-89, 2016
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47. Semi-automated registration-based anatomical labelling, voxel based morphometry and cortical thickness mapping of the mouse brain
M. Pagani, M. Damiano, A. Galbusera, S.A. Tsaftaris, A. Gozzi
Journal of Neuroscience Methods, vol. 267, pp. 62-73, 2016
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48. Editorial for Special issue on computer vision and image analysis in plant phenotyping
H. Scharr, H. Dee, A.P. French, S.A. Tsaftaris
Machine Vision and Applications, vol. 27, pp. 607-609, 2016
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49. Supporting Autonomic Management of Clouds: Service Clustering with Random Forest
R. B. Uriarte, S.A. Tsaftaris, F. Tiezzi
IEEE Transactions on Network and Service Management, vol. 13, no. 3, pp. 595-607, 2016
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50. Leaf segmentation in plant phenotyping: A collation study
H. Scharr, M. Minervini, A. P. French, C. Klukas, D. M. Kramer, X. Liu, I. Luengo Muntión, J.-M. Pape, G. Polder, D. Vukadinovic, X. Yin, S.A. Tsaftaris
Machine Vision and Applications, vol. 27, pp. 585-606, 2016
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51. The Significance of Image Compression in Plant Phenotyping Applications
M. Minervini, H. Scharr, S.A. Tsaftaris
Functional Plant Biology, vol. 42, no. 10, pp. 971-988, 2015
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52. Dictionary-driven Ischemia Detection from Cardiac Phase-Resolved Myocardial BOLD MRI at Rest
M. Bevilacqua, R. Dharmakumar, S.A. Tsaftaris
IEEE Transactions on Medical Imaging, vol. 35, no. 1, pp. 282-293, 2016
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53. Image Analysis: the new bottleneck in plant phenotyping
M. Minervini, H. Scharr, S.A. Tsaftaris
IEEE Signal Processing Magazine, vol. 32, no. 4, pp. 126-131, 2015
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54. Image based plant phenotyping with incremental learning and active contours
M. Minervini, M.M. Abdelsamea, S.A. Tsaftaris
Ecological Informatics Journal, Special Issue on Multimedia in Ecology and Environment, vol. 23, pp. 35-48, 2014
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55. Assessment of Myocardial Reactivity to Controlled Hypercapnia with Free-breathing T2-prepared Cardiac Blood-Oxygen-Level-Dependent MR Imaging
H.-S. Yang, R. Yumul, R. Tang, I. Cokic, M. Klein, A. Kali, O. Sobczyk, D. Sharif, J. Tang, X. Bi, S.A. Tsaftaris, D. Li, A.H. Conte, J.A. Fisher, R. Dharmakumar
Radiology, vol. 272, no. 2, pp. 397-406, 2014
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56. COMT genetic reduction produces sexually-divergent effects on cortical anatomy and working memory in mice and humans
S. Sannino, A. Gozzi, A. Cerasa, D. Scheggia, F. Manago, M. Damiano, A. Galbusera, D. De Pietri Tonelli, A. Bifone, S.A. Tsaftaris, D.R. Weinberger, G. Spalletta, F. Papaleo
Cerebral Cortex, vol. 25, no. 9, pp. 2529-2541, 2015
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57. Synthetic Generation of Myocardial Blood-Oxygen-Level-Dependent MRI Time Series via Structural Sparse Decomposition Modeling
C. Rusu, R. Morisi, D. Boschetto, R. Dharmakumar, S.A. Tsaftaris
IEEE Transactions on Medical Imaging, vol. 33, no. 7, pp. 1422-1433, 2014
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58. Dominant $\beta$-catenin mutations cause intellectual disability with recognizable syndromic features
V. Tucci, T. Kleefstra, A. Hardy, I. Heise, S. Maggi, M. Willemsen, H. Hilton, C. Esapa, M. Simon, M.-T. Buenavista, L. Vizor, L. Dodero, S.A. Tsaftaris, R. Romero, W.M. Nillesen, L. Peart-Vissers, M. Kempers, A. Vulto-Van Siflhout, Z. Iqbal, M. Orlando, A. Maccione, G. Lassi, P. Farisello, A. Constestabile, T. Nieus, A. Raimondi, B. Greco, D. Cantatore, L. Gasparini, L. Berdondini, A. Bifone, A. Gozzi, S. Wells, P.M. Nolan
Journal of Clinical Investigation, vol. 124, no. 4, pp. 1468-82, 2014
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59. Large-Scale Analysis of Neuroimaging Data on Commercial Clouds with Content-Aware Resource Allocation Strategies
M. Minervini, C. Rusu, M. Damiano, V. Tucci, A. Bifone, A. Gozzi, S.A. Tsaftaris
International Journal of High Performance Computing Applications, Vol 29, Issue 4, 2015
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60. A scientist's guide to cloud computing
S.A. Tsaftaris
Computing in Science and Engineering, vol. 16, no. 1, pp. 70-76, 2014
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61. Explicit shift-invariant dictionary learning
C. Rusu, D. Dumitrescu, S.A. Tsaftaris
IEEE Signal Processing Letters, vol. 21, no. 1, pp. 6-9, 2014
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62. Neuroimaging Evidence of Major Morpho-Anatomical and Functional Abnormalities in the BTBR T+TF/J Mouse Model of Autism
L. Dodero, M. Damiano, S.A. Tsaftaris, A. Galbusera, A. Bifone, M. L. Scattoni, A. Gozzi
PLoS One, vol. 8, no. 10, pp. 76655, 2013
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63. Iron Deposition Following Chronic Myocardial Infarction as a Substrate for Cardiac Electrical Anomalies: Initial Findings in a Canine Model
I. Cokic, A. Kali, X. Wang, H.-J. Yang, R. L Tang, A. Thajudeen, M Shehata, A. M. Amorn, L. Enzhao, B. Stewart, N. Bennett, D. Harlev, S.A. Tsaftaris, W.M. Jackman, S. Chugh, R. Dharmakumar
PLoS One, vol. 8, no. 9, pp. 73193, 2013
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64. A novel visualization tool for art history and conservation: automated colorization of black and white archival photographs of works of art
S.A. Tsaftaris, F. Casadio, J.-L. Andral, A.K. Katsaggelos
Studies in Conservation, vol. 59, no. 3, pp. 125-135, 2014
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65. Application-Aware Approach to Compression and Transmission of H.264 Encoded Video for Automated and Centralized Transportation Surveillance
Z. Chen, E. Soyak, S.A. Tsaftaris, A. K. Katsaggelos
IEEE Transactions on Intelligent Transportation Systems, vol. 14, no. 4, pp. 2002-2007, 2013
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66. Chronic Manifestation of Post-Reperfusion Intramyocardial Hemorrhage as Regional Iron Deposition - A Cardiovascular MR Study with Ex-vivo Validation
A. Kali, A. Kumar, I. Cokic, R. Yang, S.A. Tsaftaris, R. Tang, D. Li, M.G. Friedrich, R. Dharmakumar
Circulation Cardiovascular Imaging, vol. 6, no. 2, pp. 218-228, 2013
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67. Detecting Myocardial Ischemia at Rest with Cardiac Phase-Resolved BOLD CMR
S.A. Tsaftaris, X. Zhou, R. Tang, D. Li, R. Dharmakumar
Circulation Cardiovascular Imaging, vol. 6, no. 2, pp. 311-319, 2013
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68. Myocardial Blood-Oxygen-Level-Dependent Magnetic Resonance Imaging with Balanced Steady-State Free Precession Imaging Approaches
R. Dharmakumar, S.A. Tsaftaris, D. Li
The Open Medical Imaging Journal, vol. 6, pp. 31-38, 2012
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69. Ischemic Extent as a Biomarker for Characterizing Severity of Coronary Artery Stenosis with Blood Oxygen-Sensitive Cardiac MRI
S.A. Tsaftaris, X. Zhou, R. Tang, D. Li, R. Dharmakumar
Journal of Magnetic Resonance Imaging, vol. 35, no. 6, pp. 1338-1348, 2012
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70. Low-Complexity Video Compression for Automated Transportation Surveillance
E. Soyak, S.A. Tsaftaris, A. K. Katsaggelos
IEEE Transactions on Circuits and Systems for Video Technology, vol. 21, no. 10, pp. 1378-1389, 2011
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71. Colorizing a Masterpiece
S.A. Tsaftaris, K. Lister, I. Fiedler, F. Casadio, A.K. Katsaggelos
IEEE Signal Processing Magazine, vol. 28, no. 3, pp. 113-119, 2011
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72. T2-weighted STIR Imaging of Myocardial Edema Associated with Ischemia-Reperfusion Injury: The Influence of Proton Density Effect on Image Contrast
X. Zhou, V. Rundell, Y. Liu, R. Tang, R. Klein, S. Shah, S. Zuehlsdorff, S.A. Tsaftaris, D. Li, R. Dharmakumar
Journal of Magnetic Resonance Imaging, vol. 33, no. 4, pp. 962-967, 2011
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73. Artifact-reduced two-dimensional cine steady state free precession for myocardial blood-oxygen-level-dependent imaging
X. Zhou, S.A. Tsaftaris, Y. Liu, R. Tang, R. Klein, S. Zuehlsdorff, D. Li, R. Dharmakumar
Journal of Magnetic Resonance Imaging, vol. 31, no. 4, pp. 863-871, 2010
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74. Anomalous Video Event Detection Using Spatiotemporal Context
F. Jiang, J. Yuan, S.A. Tsaftaris, A.K. Katsaggelos
Computer Vision and Image Understanding, vol. 115, no. 3, pp. 323-333, 2011
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75. Fully Automated Reconstruction of Ungated Ghost Magnetic Resonance Angiograms Using Cluster Analysis
S.A. Tsaftaris, E. Offerman, R. Edelman, I. Koktzoglou
Journal of Magnetic Resonance Imaging, vol. 31, no. 3, pp. 655-662, 2010
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76. Dual Contrast Cellular MRI
R. Dharmakumar, Z. Zhang, I. Koktzoglou, S.A. Tsaftaris, D. Li
Molecular Imaging, vol. 8, no. 5, pp. 254-63, 2009
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77. Retrieval Efficiency of DNA-Based Databases of Digital Signals
S.A. Tsaftaris, A.K. Katsaggelos
IEEE Transactions on NanoBioscience, vol. 8, no. 3, pp. 259-270, 2009
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78. The Not So Digital Future of Digital Signal Processing
S.A. Tsaftaris, A.K. Katsaggelos
Proceedings of the IEEE, vol. 96, no. 3, pp. 375-377, 2008
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79. Joint source-channel coding for wireless object-based video communications utilizing data hiding
H. Wang, S.A. Tsaftaris, A.K. Katsaggelos
IEEE Transactions Image Processing, vol. 15, no. 8, pp. 2158-69, 2006
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80. In silico estimation of annealing specificity of query searches in DNA databases
S.A. Tsaftaris, V. Hatzimanikatis, A.K. Katsaggelos
Journal of Japan Society of Simulation Technology, vol. 24, no. 4, pp. 268-276, 2005
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81. How can DNA-Computing be applied to Digital Signal Processing?
S.A. Tsaftaris, T.N. Pappas, E.T. Papoutsakis, A.K. Katsaggelos
IEEE Signal Processing Magazine, vol. 21, no. 6, pp. 57-61, 2004
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82. DNA computing from a signal processing viewpoint
S.A. Tsaftaris, T.N. Pappas, E.T. Papoutsakis, A.K. Katsaggelos
IEEE Signal Processing Magazine, vol. 21, no. 5, pp. 100-106, 2004
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83. Fast watermarking of MPEG-1/2 streams using compressed-domain perceptual embedding and a generalized correlator detector
D. Simitopoulos, S.A. Tsaftaris, N.V. Boulgouris, A. Briassouli, M.G. Strintzis
EURASIP Journal on Applied Signal Processing, vol. 8, pp. 1088-1106, 2004
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Books

1. Data-driven feature learning for myocardial registration and segmentation
I. Oksuz, A. Mukhopadhyay, R. Dharmakumar, and S. A. Tsaftaris
Elsevier, Lecture Notes in Computer Science, Diabetes and Cardiovascular Disease, pp. 185–225.
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2. Cardiovascular Magnetic Resonance Assessment of Myocardial Oxygenation
R. Dharmakumar, S.A. Tsaftaris, H.-J. Yang, D. Li
Elsevier, Lecture Notes in Computer Science, Cardiovascular Magnetic Resonance (Third Edition), pp. Pages 84-96.e3
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3. Computer Vision Problems in Plant Phenotyping, CVPPP 2017
H. Scharr, T. Pridmore, S.A. Tsaftaris
The IEEE International Conference on Computer Vision (ICCV), Introduction to the CVPPP 2017 Workshop Papers, pp. 2020-2021
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4. Simulation and Synthesis in Medical Imaging: Second International Workshop, SASHIMI 2017
S.A. Tsaftaris, A. Gooya, A Frangi, J. Prince
SASHIMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, Lecture Notes in Computer Science, vol. 10557
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5. Simulation and Synthesis in Medical Imaging: First International Workshop, SASHIMI 2016
S.A. Tsaftaris, A. Gooya, A Frangi, J. Prince
SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, Lecture Notes in Computer Science, vol. 9968
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Chapters

1. Cardiovascular Magnetic Resonance Assessment of Myocardial Oxygenation
R. Dharmakumar, S.A. Tsaftaris, H.-J. Yang, D. Li
Cardiovascular Magnetic Resonance (Third Edition), W. Manning, D. Manning, Elsevier, 2018-09-10
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2. Computationally efficient data and application driven color transforms for the compression and enhancement of images and video
M. Minervini, C. Rusu, S. A. Tsaftaris
Color Image and Video Enhancement, E. Celebi, M. Lecca, B. Smolka, Springer, 2015-08-14
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3. La Joie De Vivre: The Evolution of a Masterpiece
S.A. Tsaftaris, F. Casadio, G. Gautier, J.-L. Andral, A.K. Katsaggelos
Picasso Express, J.L. Andral, , 2011-01-01

4. Contribution to Matisse: Radical Invention, 1913 - 1917
S.A. Tsaftaris, A.K. Katsaggelos
Matisse: Radical Invention, S. D'Alessandro, J. Elderfield, Art Institute of Chicago, 2010-01-01
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5. DNA sequencing
S.A. Tsaftaris, A.K. Katsaggelos
Wiley Encyclopedia of Medical Devices and Instrumentation (Second Edition), J.G. Webster, John Wiley and Sons, 2006-04-07
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6. Digital Watermarking for the Copyright Protection of Compressed Video
D. Simitopoulos, S.A. Tsaftaris, N.V. Boulgouris, G.A. Triantafyllidis, M.G. Strintzis
Intelligent Integrated Media Communication Techniques, J. Tasic, M. Ansorge, M. Najim, Springer US, 2003-11-30
Full Text

Conferences

1. Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction
Y. Du, Y. Xue, R. Dharmakumar, S.A. Tsaftaris
MICCAI 2023, Workshop on Clinical Image-Based Procedures
Full Text Preprint Code

2. Group Distributionally Robust Knowledge Distillation
K. Vilouras, X. Liu, P. Sanchez, A.Q. O'Neil, S.A. Tsaftaris
MICCAI 2023, International Workshop on Machine Learning in Medical Imaging
Full Text Preprint

3. Compositional Representation Learning for Brain Tumour Segmentation
X. Liu, A. Kascenas, H. Watson, S.A. Tsaftaris, A.Q. O'Neil
MICCAI 2023, Workshop on Domain Adaptation and Representation Transfer
Full Text Preprint

4. Debiasing Counterfactuals in the Presence of Spurious Correlations
A. Kumar, N. Fathi, R. Mehta, B. Nichyporuk, J.-P. R. Falet, S. Tsaftaris, T. Arbel
MICCAI 2023, Workshop on Clinical Image-Based Procedures
Full Text Preprint

5. Adapting Vision Foundation Models for Plant Phenotyping
F. Chen, M.V. Giuffrida, S.A. Tsaftaris
IEEE/CVF International Conference on Computer Vision 2023
Full Text

6. SLX: Similarity Learning for X-Ray Screening and Robust Automated Disassembled Object Detection
N. Dionelis, R. Jackson, S.A. Tsaftaris, M. Yaghoobi
IJCNN 2023
Full Text

7. Diffusion Models for Causal Discovery via Topological Ordering
P. Sanchez, X. Liu, A.Q. O'Neil, S.A. Tsaftaris
ICLR 2023
Preprint Code

8. Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors
A. Hu, J. R. Falet, B. S. Nichyporuk, C. Shui, D. L. Arnold, S. A. Tsaftaris, T. Arbel
preprint 2022
Preprint

9. Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation
B. Nichyporuk, J. Cardinell, J. Szeto, R. Mehta, J. R. Falet, D. L. Arnold, S.A. Tsaftaris, T. Arbel
preprint 2022
Preprint

10. Why Patient Data Cannot Be Easily Forgotten?
R. Su, X. Liu ,S.A. Tsaftaris
MICCAI 2022
Full Text Preprint

11. vMFNet: Compositionality Meets Domain-generalised Segmentation
X. Liu, S. Thermos, P. Sanchez, A.Q. O'Neil, S.A. Tsaftaris
MICCAI 2022
Full Text Preprint Code

12. Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers
A. Kumar, A. Hu, B. Nichyporuk, J. R. Falet, D.L. Arnold, S.A. Tsaftaris, T. Arbel
MICCAI workshop 2022, Medical Image Assisted BIomarkers’ Discovery
Preprint

13. What is Healthy? Generative Counterfactual Diffusion for Lesion Localization
P. Sanchez, A. Kascenas, X. Liu, A.Q. O'Neil, S.A. Tsaftaris
MICCAI Workshop 2022, Deep Generative Models
Full Text Preprint Code

14. HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information
X. Liu, S. Thermos, P. Sanchez, A.Q. O'Neil, S.A. Tsaftaris
MICCAI Workshop 2022, Medical Applications with Disentanglements (MAD)
Preprint

15. CTR: Contrastive Training Recognition Classifier for Few-Shot Open-World Recognition
N. Dionelis, S. A. Tsaftaris, M. Y. Vaighan
ICPR 2022

16. Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers
G. Jacenków; A.Q. O’Neil, S.A. Tsaftaris
ISBI 2022
Full Text Preprint Code

17. Why patient data cannot be easily forgotten?
R. Su, X. Liu, S.A. Tsaftaris
MICCAI 2022
Full Text Preprint

18. Diffusion Causal Models for Counterfactual Estimation
P. Sanchez, S.A. Tsaftaris
CLeaR 2022
Preprint Code

19. Measuring Unintended Memorisation of Unique Private Features in Neural Networks.
J. Hartley, S.A. Tsaftaris
2022
Preprint Code

20. OMASGAN: Out-of-distribution Minimum Anomaly Score GAN for Anomaly Detection
N. Dionelis, S. A. Tsaftaris, M. Y. Vaighan
SSPD 2021
Preprint

21. Controllable cardiac synthesis via disentangled anatomy arithmetic
S. Thermos, X. Liu, A. O'Neil, S.A. Tsaftaris
MICCAI 2021
Preprint Code

22. Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
X. Liu, S. Thermos, A. O'Neil, S.A. Tsaftaris
MICCAI 2021
Preprint Code

23. Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning
G. Valvano, A. Leo, S.A. Tsaftaris
MICCAI workshop, 2021, DART
Preprint Code

24. Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training
G. Valvano, A. Leo, S.A. Tsaftaris
MICCAI workshop, 2021, DART
Preprint Code

25. Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation
B. Nichyporuk, J. Cardinell, J. Szeto, R. Mehta, S.A. Tsaftaris, D.L. Arnold, T. Arbel
MICCAI workshop, 2021, DART
Preprint

26. Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI
C. Qin, S. Wang, C. Chen, H. Qiu, W. Bai, and D. Rueckert.
MICCAI 2020
Full Text Preprint Code Website

27. Semi-supervised Pathology Segmentation with Disentangled Representations
H. Jiang, A. Chartsias, X. Zhang, G. Panastasiou, S. Semple, M. Dweck, D. Semple, R. Dharmakumar, S.A. Tsaftaris
MICCAI 2020, DART: Domain Adaptation and Representation Transfer
Preprint Code

28. Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling
H. Jiang, C. Wang, A. Chartsias, S.A. Tsaftaris
MICCAI 2020, MyoPS: Multi-sequence CMR based Mycardial Pathology Segmentation Challenge
Preprint Code

29. Measuring the Biases and Effectiveness of Content-Style Disentanglement
X. Liu, S. Thermos, G. Valvano, A. Chartsias, A.Q. O'Neil, S.A. Tsaftaris
BMVC, 2021
Preprint Code

30. Disentangled Representations for Domain-generalized Cardiac Segmentation
X. Liu, S. Thermos, A. Chartsias, A.Q. O'Neil, S.A. Tsaftaris
MICCAI 2020, STACOM: Statistical Atlases and Computational Modelling of the Heart
Preprint Code

31. INSIDE: Steering Spatial Attention with Non-Imaging Information in CNNs
G. Jacenków, A.Q. O'Neil, B. Mohr, S.A. Tsaftaris
MICCAI 2020
Full Text Preprint Code

32. Have you forgotten? A method to assess if machine learning models have forgotten data
X. Liu, S.A. Tsaftaris
MICCAI 2020
Preprint

33. Teacher-Student chain for efficient semi-supervised histology image classification
S. Shaw, M. Pajak, A. Lisowska, S.A. Tsaftaris, A.Q. O'Neil
ICLR 2020, AI for Affordable Healthcare (AI4AH)
Preprint

34. Tail of Distribution GAN: GAN-Based Boundary of Distribution Formation
N. Dionelis, M. Yaghoobi, S.A. Tsaftaris
SSPD 2020

35. Boundary of Distribution Support Generator (BDSG): Sample Generation on the Boundary
N. Dionelis, M. Yaghoobi, S.A. Tsaftaris
IEEE ICIP 2020

36. Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text
M. Falis, M. Pajak, A. Lisowska, P. Schrempf, L. Deckers, S. Mikhael, S.A. Tsaftaris, A.Q. O'Neil
EMNLP-IJCNLP 2019, Tenth International Workshop on Health Text Mining and Information Analysis
Full Text

37. Temporal Consistency Objectives Regularize the Learning of Disentangled Representations
G. Valvano, A. Chartsias, A. Leo, S.A. Tsaftaris
MICCAI 2019, DART: Domain Adaptation and Representation Transfer
Preprint Code

38. TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis
C. Wang, G. Papanastasiou, S.A. Tsaftaris, G. Yang, C. Gray, D. Newby, G. Macnaught, T. MacGillivray
MICCAI 2019, MLMIR: Machine Learning for Medical Image Reconstruction
Full Text PDF

39. Multimodal cardiac segmentation using disentangled representations
A. Chartsias, G. Papanastasiou, C. Wang, C. Stirrat, S. Semple, D. Newby, R. Dharmakumar, S.A. Tsaftaris
MICCAI 2019, STACOM: Statistical Atlases and Computational Models of the Heart
PDF Code

40. Consistent Brain Ageing Synthesis
T. Xia, A. Chartsias, S.A. Tsaftaris
MICCAI 2019
PDF Code

41. Conditioning Convolutional Segmentation Architectures with Non-Imaging Data
G. Jacenków, A. Chartsias, B. Mohr, S.A. Tsaftaris
MIDL 2019
Full Text

42. Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization
T. Xia, A. Chartsias, S.A. Tsaftaris
MIDL 2019
Full Text Code

43. Adversarial Large-Scale Root Gap Inpainting
H. Chen, M.V. Giuffrida, P. Doerner, S.A. Tsaftaris
CVPR 2019, CVPPP: Computer Vision Problems in Plant Phenotyping
Full Text

44. Leaf Counting Without Annotations Using Adversarial Unsupervised Domain Adaptation
M.V. Giuffrida, A. Dobrescu, P. Doerner, S.A. Tsaftaris
CVPR 2019, CVPPP: Computer Vision Problems in Plant Phenotyping
Full Text

45. Doing more with less: semi-supervised cardiac segmentation with a fraction of labeled images
A. Chartsias, T. Joyce, G. Papanastasiou, S. Semple, M. Williams, D. Newby, R. Dharmakumar, S.A. Tsaftaris
SCMR 2019

46. Joint learning of motion estimation and segmentation for cardiac MR image sequences.
C. Qin, W. Bai, J. Schlemper, S. E. Petersen, S. K. Piechnik, S. Neubauer, and D. Rueckert
MICCAI 2018
Full Text Preprint Code Website

47. Factorised spatial representation learning: application in semi-supervised myocardial segmentation
A. Chartsias, T. Joyce, G. Papanastasiou, S. Semple, M. Williams, D. Newby, R. Dharmakumar, S.A. Tsaftaris
MICCAI 2018
Preprint Code

48. Root Gap Correction with a Deep Inpainting Model
H. Chen, M.V. Giuffrida, P. Doerner, S.A. Tsaftaris
BMVC 2018, CVPPP: Computer Vision Problems in Plant Phenotyping
Full Text

49. Deep Multi-Class Segmentation Without Ground-Truth Labels
T. Joyce, A. Chartsias, S.A. Tsaftaris
MIDL 2018
Full Text

50. ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network
M.V. Giuffrida, H. Scharr, S.A. Tsaftaris
ICCV 2017, CVPPP: Computer Vision Problems in Plant Phenotyping
PDF

51. Leveraging multiple datasets for deep leaf counting
A. Dobrescu, M.V. Giuffrida, S.A. Tsaftaris
ICCV 2017, CVPPP: Computer Vision Problems in Plant Phenotyping
PDF Code

52. Joint Myocardial Registration and Segmentation of Cardiac BOLD MRI
I. Oksuz, R. Dharmakumar, S.A. Tsaftaris
MICCAI 2017, STACOM: Statistical Atlases and Computational Models of the Heart
PDF

53. Adversarial Image Synthesis for Unpaired Multi-Modal Cardiac Data
A. Chartsias, T. Joyce, R. Dharmakumar, S.A. Tsaftaris
MICCAI 2017, SASHIMI: Simulation and Synthesis in Medical Imaging
PDF

54. Robust Multi-Modal MR Image Synthesis
T. Joyce, A. Chartsias, S.A. Tsaftaris
MICCAI 2017
PDF Code

55. Whole Image Synthesis using a Deep Encoder-Decoder Network
V. Sevetlidis, M.V. Giuffrida, S.A. Tsaftaris
MICCAI 2016, SASHIMI: Simulation and Synthesis in Medical Imaging
PDF

56. A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation
C. Qin, R. Moreno, C. Bowles, C. Ledig, P. Scheltens, F. Barkhof, H. Rhodius-Meester, B. Tijms, A.W. Lemstra, W.M. van der Flier, B. Glocker, D. Rueckert
MICCAI 2016, MLMI: Machine Learning in Medical Imaging
Full Text

57. Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation
C. Bowles, C. Qin, C. Ledig, R. Guerrero, R. Gunn, A. Hammers, E. Sakka, D.A. Dickie, M. Valdés Hernández, N. Royle, J. Wardlaw, H. Rhodius-Meester, B. Tijms, A.W. Lemstra, W. van der Flier, F. Barkhof, P. Scheltens, D. Rueckert
MICCAI 2016, SASHIMI: Simulation and Synthesis in Medical Imaging
Full Text

58. Rotation-Invariant Restricted Boltzmann Machine using Shared Gradient Filters
M.V. Giuffrida, S.A. Tsaftaris
ICANN 2016
Preprint

59. Theta-RBM: Unfactored Gated Restricted Boltzmann Machine for Rotation-Invariant Representations
M.V. Giuffrida, S.A. Tsaftaris

Preprint

60. Classification-aware distortion metric for HEVC intra coding
M. Minervini, S. A. Tsaftaris
VCIP 2015
PDF

61. Supervised Learning of Functional Maps for Infarct Classification
A. Mukhopadhyay, I. Oksuz, S.A. Tsaftaris
MICCAI 2015, STACOM: Statistical Atlases and Computational Models of the Heart
Full Text PDF

62. Unsupervised myocardial segmentation for cardiac MRI
A. Mukhopadhyay, I. Oksuz, M. Bevilacqua, R. Dharmakumar, S.A. Tsaftaris
MICCAI 2015
Full Text PDF

63. Dictionary Learning Based Image Descriptor for Myocardial Registration of CP BOLD MR
I. Oksuz, A. Mukhopadhyay, M. Bevilacqua, R. Dharmakumar, S.A. Tsaftaris
MICCAI 2015
Full Text PDF

64. An interactive tool for semi-automated leaf annotation
M. Minervini, M.V. Giuffrida, S.A. Tsaftaris
BMVC 2015, CVPPP: Computer Vision Problems in Plant Phenotyping
PDF

65. Learning to Count Leaves in Rosette Plants
M.V. Giuffrida, M. Minervini, S.A. Tsaftaris
BMVC 2015, CVPPP: Computer Vision Problems in Plant Phenotyping
PDF

66. Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI
A. Mukhopadhyay, I. Oksuz, M. Bevilacqua, R. Dharmakumar, S.A. Tsaftaris
FIMH 2015
PDF

67. Dictionary-based Support Vector Machines for Unsupervised Ischemia Detection at Rest with CP-BOLD Cardiac MRI
M. Bevilacqua, A. Mukhopadhyay, I. Oksuz, C. Rusu, R. Dharmakumar, S.A. Tsaftaris
ISMRM 2015

68. Data Driven Feature Learning For Representation of Myocardial BOLD MR Images
A. Mukhopadhyay, M. Bevilacqua, I. Oksuz, R. Dharmakumar, S.A. Tsaftaris
ISMRM 2015

69. Effect of BOLD Contrast on Myocardial Registration
I. Oksuz, A. Mukhopadhyay, M. Bevilacqua, H.-J. Yang, R. Dharmakumar, S.A. Tsaftaris
ISMRM 2015

70. Service Clustering for Autonomic Clouds Using Random Forest
R.B. Uriarte, S.A. Tsaftaris, F. Tiezzi
IEEE/ACM 2015
Full Text PDF

71. Unsupervised and Supervised Approaches to Color Space Transformation for Image Coding
M. Minervini, C. Rusu, S.A. Tsaftaris
ICIP 2014
Full Text PDF

72. Structured Dictionaries for Ischemia Estimation in Cardiac BOLD MRI at Rest
C. Rusu, S.A. Tsaftaris
MICCAI 2014
Full Text PDF

73. Electrical Characteristics of Chronic Iron-Laden Myocardial Infarcts: Initial Study in Canine Hearts
I. Cokic, A. Kali, X. Wang, H. Yang, R.L. Tang, A. Thajudeen, M. Shehata, A.M. Amorn, E. Liu, B. Stewart, N. Bennett, D. Harlev, S.A. Tsaftaris, W.M. Jackman, S.S. Chugh, R. Dharmakumar
ISMRM 2014

74. Probing Myocardial Blood Oxygenation Reserve of Canines with Controlled Hypercapnia using T2-prepared BOLD CMR
H. Yang, R. Yumul, R.L. Tang, I. Cokic, M. Klein, A. Kali, O. Sobczyk, B. Sharif, J. Tang, X. Bi, S.A. Tsaftaris, D. Li, J. Min, D.S. Berman, A.H. Conte, J. Fisher, R. Dharmakumar
ISMRM 2014
Full Text

75. Unsupervised Ischemia Detection at Rest with CP-BOLD Cardiac MRI: A Simulation Study Employing Independent Component Analysis
R. Morisi, R. Dharmakumar, S.A. Tsaftaris
ISMRM 2014
Full Text

76. Temporal and Spatial Variation of Baseline Myocardial BOLD Signal Intensity in Cardiac Phase-Resolved BOLD MRI: A Potentially Revealing Insight into Dynamic Changes in Myocardial Oxygenation
D. Boschetto, C. Rusu, R. Dharmakumar, S.A. Tsaftaris
ISMRM 2014

77. A Synthetic Generator of Myocardial Blood-Oxygen-Level-Dependent MRI Timeseries with Structural Sparse Decomposition Modeling
C. Rusu, R. Dharmakumar, S.A. Tsaftaris
ISMRM 2014
Full Text

78. Impact of Chronic Iron Deposition Following Myocardial Infarction on Gross Electrical Characteristics
I. Cokic , Kali A, Yang H, Tang RL, S.A. Tsaftaris, R. Dharmakumar
HRS 2014

79. Assessment of Controlled Iso-Oxic Hypercapnic Stimulation of Myocardial Blood Flow using Oxygen Dependent Cardiac Magnetic Resonance Imaging
H. Yang, R. Yumul, R.L. Tang, I. Cokic, M. Klein, A. Kali, O. Sobczyk, B. Sharif, J. Tang, X. Bi, S.A. Tsaftaris, D. Li, J. Min, D.S. Berman, A.H. Conte, J. Fisher, R. Dharmakumar
ACC 2014
Full Text

80. Probing Myocardial Blood Oxygenation Reserve with Controlled Hypercapnia using BOLD CMR
H. Yang, R. Yumul, R.L. Tang, I. Cokic, M. Klein, A. Kali, O. Sobczyk, B. Sharif, J. Tang, X. Bi, S.A. Tsaftaris, D. Li, J. Min, D.S. Berman, A.H. Conte, J. Fisher, R. Dharmakumar
SCMR 2014
Full Text

81. Estimation of Scribble Placement for Painting Colorization
C. Rusu, S.A. Tsaftaris
ISPA 2013
Full Text PDF

82. Learning Computationally Efficient Approximations of Complex Image Segmentation Metrics
M. Minervini, C. Rusu, S.A. Tsaftaris
ISPA 2013
Full Text PDF

83. Active Contour Model driven by Globally Signed Region Pressure Force
M.M. Abdelsamea, S.A. Tsaftaris
DSP 2013
Full Text PDF

84. Application-Aware Image Compression for Low Cost and Distributed Plant Phenotyping
M. Minervini, S.A. Tsaftaris
DSP 2013
Full Text PDF

85. Neuroimaging Evidence of Major Morpho-Anatomical and Functional Abnormalities in the BTBR T+TF/J Mouse Model of Autism
L. Dodero, F. Sforazzini, A. Galbusera, M. Damiano, S.A. Tsaftaris, A. Bifone, M. L. Scattoni, A. Gozzi
IMFAR 2013
Full Text

86. Chronic Iron Deposition following Acute Hemorrhagic Myocardial Infarction: A Cardiovascular Magnetic Resonance Study
A. Kali, A. Kumar, I. Cokic, R. Tang, S.A. Tsaftaris, M. Friedrich, R. Dharmakumar
AHA Scientific Sessions 2012
Full Text

87. Acute Reperfusion Intramyocardial Hemorrhage Leads to Regional Chronic Iron Deposition in the Heart
A. Kali, I. Cokic, A. Kumar, S.A. Tsaftaris, R. Tang, M. Friedrich, R. Dharmakumar
SCMR 2013
Full Text

88. Acute Hemorrhagic Myocardial Infarction Leads to Localized Chronic Iron Deposition: A CMR Study
A. Kali, I. Cokic, A. Kumar, S.A. Tsaftaris, R. Tang, M. Friedrich, R. Dharmakumar
ISMRM 2013
Full Text

89. Detecting ACS and Identifying Acute Ischemic Territories with Cardiac Phase-Resolved BOLD MRI at Rest
S.A. Tsaftaris, X. Zhou, R. Tang, J. Min, D. Li, R. Dharmakumar
ISMRM 2012
Full Text

90. Mouse Neuroimaging Phenotyping in the Cloud
M. Minervini, M. Damiano, V. Tucci, A. Bifone, A. Gozzi, S.A. Tsaftaris
IPTA 2012
Full Text

91. Tracking-Optimal Error Control Schemes for H.264 Compressed Video for Vehicle Surveillance
Z. Chen, E. Soyak, S.A. Tsaftaris, A. K. Katsaggelos
EUSIPCO 2012
Full Text

92. Detecting Myocardial Ischemic Territories in the Setting of Acute Coronary Obstructions at Rest with Cardiac Phase-Resolved Blood Oxygen Level Dependent (CP-BOLD) MRI
S.A. Tsaftaris, X. Zhou, R. Tang, D. Li, R. Dharmakumar
AHA Scientific Sessions 2011

93. Channel Protection for H.264 Compression in Transportation Video Surveillance Applications
E. Soyak, S.A. Tsaftaris, A. K. Katsaggelos
ICIP 2011
PDF

94. Tracking-Optimized Quantization for H.264 Compression in Transportation Video Surveillance Applications
E. Soyak, S.A. Tsaftaris, A. K. Katsaggelos
ICIP 2011
PDF

95. PHIDIAS: Plant Phenotyping with a High-throughput, Intelligent, Distributed, and Integrated Analysis System
S.A. Tsaftaris
IPPS 2011

96. An Area-based Imaging Biomarker for the Characterization of Coronary Artery Stenosis with Blood Oxygen-Sensitive MRI
S.A. Tsaftaris, R. Tang, X. Zhou, D. Li, R. Dharmakumar
ISMRM 2011
Full Text

97. Detecting Myocardial Ischemia at Rest with Cardiac Phase-Resolved BOLD MRI: Early Findings
S.A. Tsaftaris, V. Rundell, X. Zhou, Y. Liu, R. Tang, D. Li, R. Dharmakumar
ISMRM 2011
Full Text

98. A Fully Automated Statistical Method for Characterization of Flow Artifact Presence in cardiac MRI
S.A. Tsaftaris, X. Zhou, R. Dharmakumar
SCMR 2011
Full Text

99. An Area-based Imaging Biomarker for Characterizing Coronary Artery Stenosis with Myocardial BOLD MRI
S.A. Tsaftaris, X. Zhou, D. Li, R. Dharmakumar
SCMR 2011
Full Text

100. Tracking-Optimal Pre- and Post-processing for H.264 Compression in Traffic Video Surveillance Applications
E. Soyak, S.A. Tsaftaris, A. K. Katsaggelos
ICECS 2010
PDF

101. Quantization Optimized H.264 Encoding for Traffic Video Tracking Applications
E. Soyak, S.A. Tsaftaris, A.K. Katsaggelos
ICIP 2010
PDF

102. Video Anomaly Detection in Spatiotemporal Context
F. Jiang, J. Yuan, S.A. Tsaftaris, A.K. Katsaggelos
ICIP 2010
PDF

103. On the origin of myocardial edema contrast in T2-STIR images
X. Zhou, V. Rundell, Y. Liu, R. Tang, R. Klein, S. Giri, S. Shah, S.A. Tsaftaris, S. Zuehlsdorff, O. Simonetti, D. Li, R. Dharmakumar
ISMRM 2010

104. Myocardial BOLD imaging using flow compensated 2D cine bSSFP
X. Zhou, S.A. Tsaftaris, Y. Liu, R. Tang, R. Klein, S. Zuehlsdorff, D. Li, R. Dharmakumar
ISMRM 2010

105. Unsupervised and Reproducible Image-based Identifi-cation of Cardiac Phases in Cine SSFP MRI
S.A. Tsaftaris, X. Zhou, R. Tang, R. Dharmakumar
ISMRM 2010

106. Automated synchronization of cardiac phases for myocardial BOLD MRI
S.A. Tsaftaris, X. Zhou, R. Tang, R. Klein, A. Katsaggelos, R. Dharmakumar
ISMRM 2010

107. Unsupervised reconstruction for ungated ghost angiography by clustering of image features
S.A. Tsaftaris, E. Offerman, R. Edelman, I. Koktzoglou
ISMRM 2010

108. Automated Assessment of Ghost Artifacts in MRI
S.A. Tsaftaris, X. Zhou, R. Dharmakumar
ISMRM 2010

109. A New Quantitative Imaging Biomarker for Identifying Critical Coronary Artery Stenosis with Myocardial BOLD MRI
S.A. Tsaftaris, X. Zhou, D. Li, R. Dharmakumar
ISMRM 2010

110. Dual Contrast Cellular MRI
R. Dharmakumar, Z. Zhang, I. Koktzoglou, S.A. Tsaftaris, D. Li
ISMRM 2010

111. Content-Aware H.264 Encoding for Traffic Video Tracking Applications
E. Soyak, S.A. Tsaftaris, A.K. Katsaggelos
ICASSP 2010
PDF

112. Plant Phenotyping with Low Cost Digital Cameras and Image Analytics
S.A. Tsaftaris, C. Noutsos
ICSC 2009
PDF

113. Visualization and Tracking of a Conventional Guidewire with Low Flip Angle SSFP Imaging: An Initial Study
R. Dharmakumar, I. Koktzoglou, S.A. Tsaftaris, S. Zuehlsdorff, R. Tang, G. Wright, D. Li
ISMRM 2009
Full Text

114. Visualizing and Quantifying Myocardial Oxyge-nation Changes with Statistically Optimal Colormaps
S.A. Tsaftaris, R. Tang, R. Klein, D. Li, R. Dharmakumar
ISMRM 2009
Full Text

115. An Intensity Based Statistical Approach for Left Ventricular Localization and Identification of End-Systolic and End-Diastolic Images from Cine Cardiac MRI
S.A. Tsaftaris, X. Zhou, R. Tang, R. Klein, R. Dharmakumar
ISMRM 2009

116. Impact of Temporal Resolution on Cardiac Phase-Resolved Oxygen-Sensitive Myocardial Steady-State Free Precession Imaging
X. Zhou, R. Tang, R. Klein, S.A. Tsaftaris, D. Li, R. Dharmakumar
SCMR 2009
Full Text

117. Visualizing Regional Myocardial Oxygenation Changes with Statistically Optimal Colormaps
S.A. Tsaftaris, R. Tang, R. Klein, D. Li, R. Dharmakumar
SCMR 2009
Full Text

118. An Automated Method for Left Ventricular Localization and Identification of End-Systolic and End-Diastolic Images from Cine Cardiac MRI
S.A. Tsaftaris, X. Zhou, R. Tang, R. Klein, R. Dharmakumar
SCMR 2009
Full Text

119. On the mechanism of myocardial edema contrast in T2-STIR images
X. Zhou, V. Rundell, Y. Liu, R. Tang, R. Klein, S. Giri, S. Shah, S.A. Tsaftaris, S. Zuehlsdorff, O. Simonetti, D. Li, R. Dharmakumar
SCMR 2010
Full Text

120. Artifacts-reduced 2D cine SSFP with flow compensation for myocardial BOLD imaging
X. Zhou, S.A. Tsaftaris, Y. Liu, R. Tang, R. Klein, S. Zuehlsdorff, D. Li, R. Dharmakumar
SCMR 2010
Full Text

121. Automated detection and quantification of microcirculatory oxygenation changes in the heart
S.A. Tsaftaris, X. Zhou, R. Tang, D. Li, R. Dharmakumar
SCMR 2010
Full Text

122. A Dynamic Programming Solution to Tracking and Elastically Matching Left Ventricular Walls in Cardiac CINE MRI
S.A. Tsaftaris, V. Andermatt, A. Schlegel, A. K. Katsaggelos, D. Li, R. Dharmakumar
ICIP 2008
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123. Local Feature Extraction for Video Copy Detection in a Database
E. Maani, S.A. Tsaftaris, A.K. Katsaggelos
ICIP 2008
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124. Automated Line Flattening of Atomic Force Microscopy Images
S.A. Tsaftaris, J. Zujovic, A.K. Katsaggelos
ICIP 2008
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125. Restoration of the Cantilever Bowing Distortion in Atomic Force Microscopy
S.A. Tsaftaris, J. Zujovic, A.K. Katsaggelos
EUSIPCO 2008
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126. Automated Tracking of a Passive Endomyocardial Stiletto Catheter with Dephased FLAPS MRI: A Feasibility Study
I. Koktzoglou, S.A. Tsaftaris, S. Zuehlsdorff, D. Li, A.K. Katsaggelos, R. Dharmakumar
ISMRM 2008
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127. Automated Tracking of a Passive Intramyocardial Needle with Off-Resonance MRI: A Feasibility Study
I. Koktzoglou, S.A. Tsaftaris, D. Li, A.K. Katsaggelos, R. Dharmakumar
SCMR 2008
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128. DNA Microarray Image Intensity Extraction Using Eigen-spots
S.A. Tsaftaris, R. Ahuja, D. Shiell, A.K. Katsaggelos
ICIP 2007
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129. Retrieval Accuracy of Very Large DNA-Based Databases of Digital Signals
S.A. Tsaftaris, A.K. Katsaggelos
ESPC 2007
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130. DNA as a medium for storing digital signals
S.A. Tsaftaris, V. Hatzimanikatis, A.K. Katsaggelos
ALIFE 2006
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131. DNA Hybridization as a Similarity Criterion for Querying Digital Signals Stored in DNA Databases
S.A. Tsaftaris, V. Hatzimanikatis, A.K. Katsaggelos
ICASSP 2006
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132. On Designing DNA Databases for the Storage and Retrieval of Digital Signals
S.A. Tsaftaris, A.K. Katsaggelos
ICNC 2005
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133. DNA Based Matching of Digital Signals
S.A. Tsaftaris, A.K. Katsaggelos, T.N. Pappa, E.T. Papoutsakis
ICASSP 2004
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134. Fast MPEG Watermarking for Copyright Protection
D. Simitopoulos, S.A. Tsaftaris, N.V. Boulgouri, M.G. Strintzis
ICECS 2002
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135. Compressed-domain Video Watermarking of MPEG Streams
D. Simitopoulos, S.A. Tsaftaris, N.V. Boulgouris, M.G. Strintzis
ICME 2002
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136. Fast compressed domain watermarking of MPEG multiplexed streams
D. Simitopoulos, S.A. Tsaftaris, N.V. Boulgouris, M.G. Strintzis
COST 2001, Information and Knowledge Management for Integrated Media Communication Workshop
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137. Digital watermarking of MPEG-1 & MPEG-2 multiplexed streams for copyright protection
D. Simitopoulos, S.A. Tsaftaris, N.V. Boulgouris, M.G. Strintzis
DCV 2001, Workshop on Digital & Computational Video
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