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PUBLICATIONS

Ph.D Thesis

Peer reviewed Publications

  • M. A. Zervou, E. Doutsi, P. Pavlidis, P. Tsakalides, “Structural classification of proteins based on the computationally efficient recurrence quantification analysis and horizontal visibility graphs,” Bioinformatics, Volume 37, Issue 13, 1 July 2021, Pages 1796-1804, https://doi.org/10.1093/bioinformatics/btab407.E.

  • Doutsi, L. Fillatre, M. Antonini, P. Tsakalides, “Dynamic Image Quantization using Leaky Integrate-and-Fire neurons,” submitted to IEEE Transactions on Image Processing (TIP), vol. 30, pp. 4305-4315, 2021, DOI: 10.1109/TIP.2021.3070193, 

  • E. Doutsi, L. Fillatre, M. Antonini, J. Gaulmin.“Retina-inspired Filter,” IEEE Transactions on Image Processing (TIP), vol. 27, no. 7, pp. 3484-3499, 2018, DOI: 10.1109/TIP.2018.2812079.

Publications in Conferences' Proceedings with Reviewers

  • E. Doutsi, M. Antonini, P. Tsakalides, “Neuronal communication process opens new directions in image and video compression systems” European Research Consortium for Informatics and Mathematics, Special Theme “Brain-inspired Computing 125, pp. 26-28, 2021.

  • M. Zervou. E. Doutsi, P. Tsakalides, “Visibility Graph Network of Multidimensional Time Series Data for Protein Structure Classification” European Signal Processing Conference (EUSIPCO), 2021.

  • E. Doutsi, M. Antonini, P. Tsakalides, “An end-to-end spike-based image compression architecture,” ​Asilomar Conference​, 2020, pp:818-820, DOI: 10.1109/IEEECONF51394.2020.9443505.

  • M. Zervou. E. Doutsi, P. Pavlidis, P. Tsakalides, “Efficient Dynamical Analysis of Low-similarity Proteins for Structural Class Prediction” European Signal Processing Conference (EUSIPCO), 2020 (accepted).

  • E. Doutsi and P. Tsakalides, "Image Compression Based on Neuroscience Models: Rate-Distortion Performance of the Neural Code," 2020 Data Compression Conference (DCC), Snowbird, UT, USA, 2020, pp. 364-364, DOI: 10.1109/DCC47342.2020.00089.

  • E. Doutsi, G. Tsagkarakis, P. Tsakalides, “Neuro-inspired Compression of RGB images,” in Proc. IEEE IEEE European Signal Processing Conference (EUSIPCO), 2019 DOI​:​10.23919/EUSIPCO.2019.8903079.

  • E. Doutsi, L. Fillatre, M. Antonini, “Efficiency of the bio-inspired Leaky Integrate-and-Fire neuron for signal coding,” in Proc. IEEE European Signal Processing Conference (EUSIPCO), 2019 DOI: ​10.23919/EUSIPCO.2019.8903179.

  • E. Doutsi, L. Fillatre, M. Antonini, J. Gaulmin, “Neuro-inspired Quantization,” in Proc. IEEE International Conference on Image Processing (ICIP), October 7-10, 2018, DOI: 10.1109/ICIP.2018.8451793.

  • M. Dimopoulou, E. Doutsi, M. Antonini, “A retina-inspired encoder: An innovative step on image coding using Leaky Integrate-and-Fire neurons,” in Proc. IEEE International Conference on Image Processing (ICIP), October 7-10, 2018, DOI:  10.1109/ICIP.2018.8451599.

  • M. Dimopoulou, E. Doutsi, M. Antonini, “Image coding using Leaky Integrate-and-Fire neurons,” COmpression et REprésentation des Signaux Audiovisuels (CORESA), Caen, France, November 20-21, 2017.

  • E. Doutsi, L. Fillatre, M. Antonini, J. Gaulmin, “Bio-inspired Sparse Representation of Images," Groupe d’Etudes du Traitement du Signal et des Images (GRETSI), Juan-les-Pins, France, September 5-8, 2017.

  • E. Doutsi, L. Fillatre, M. Antonini, J. Gaulmin, “Retina-inspired Video Codec," in Proc. IEEE Picture Coding Symposium (PCS), 2016, DOI: 10.1109/PCS.2016.7906309.

  • E. Doutsi, L. Fillatre, M. Antonini, J. Gaulmin, “Retinal-inspired   filtering for dynamic image coding," in Proc. IEEE International Conference on Image Processing (ICIP), pp. 27-30, 2015, DOI:  10.1109/ICIP.2015.7351456.

  • E. Doutsi, L. Fillatre, M. Antonini, J. Gaulmin, “Video analysis and synthesis based on a retinal-inspired frame," in Proc. IEEE European Signal Processing Conference (EUSIPCO), Nice, France, July 31 - August 4, 2015, DOI: 10.1109/EUSIPCO.2015.7362780.

  • E. Doutsi, L. Fillatre, M. Antonini, J. Gaulmin, “Event-based coding of still images using a bio-inspired frame," in Proc. IEEE Event-Based Control Communication and Signal Processing (EBCCSP), Krakow, Poland, June 17-19, 2015, DOI: 10.1109/EBCCSP.2015.7300678.

  • E. Doutsi, L. Fillatre, M. Antonini, J. Gaulmin, “Signal reconstruction from a bio-inspired event-based code," Groupe d’Etudes du Traitement du Signal et des Images (GRETSI), Lyon, France, September 8-11, 2015.

Academic Publications 
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