Event-based coding of still images using a bio-inspired frame. - Effrosyni Doutsi; Lionel Fillatre; Marc Antonini; Julien Gaulmin (EBCCSP, 2015)

Video analysis and synthesis based on a retinal-inspired frame. - Effrosyni Doutsi; Lionel Fillatre; Marc Antonini; Julien Gaulmin (EUSIPCO, 2015)

Retinal-inspired filtering for dynamic image coding. - Effrosyni Doutsi; Lionel Fillatre; Marc Antonini; Julien Gaulmin (ICIP, 2015)

Retina-inspired video codec. - Effrosyni Doutsi; Lionel Fillatre; Marc Antonini; Julien Gaulmin (PCS, 2016)

A Retina-Inspired Encoder: An Innovative Step on Image Coding Using Leaky Integrate-and-Fire Neurons. - Melpomeni Dimopoulou; Effrosyni Doutsi; Marc Antonini (ICIP, 2018)

Neuro-Inspired Quantization. - Effrosyni Doutsi; Lionel Fillatre; Marc Antonini; Julien Gaulmin (ICIP, 2018)

Retina-Inspired Filter. - Effrosyni Doutsi; Lionel Fillatre; Marc Antonini; Julien Gaulmin (IEEE Trans. Image Process., 2018)

Efficiency of the bio-inspired Leaky Integrate-and-Fire neuron for signal coding. - Effrosyni Doutsi; Lionel Fillatre; Marc Antonini (EUSIPCO, 2019)

Neuro-Inspired Compression of RGB Images. - Effrosyni Doutsi; George Tzagkarakis; Panagiotis Tsakalides (EUSIPCO, 2019)

An end-to-end spike-based image compression architecture. - Effrosyni Doutsi; Marc Antonini; Panagiotis Tsakalides (ACSSC, 2020)

Image Compression Based on Neuroscience Models: Rate-Distortion Performance of the Neural Code. - Effrosyni Doutsi; Panagiotis Tsakalides (DCC, 2020)

Efficient Dynamic Analysis of Low-similarity Proteins for Structural Class Prediction. - Michaela Areti Zervou; Effrosyni Doutsi; Pavlos Pavlidis; Panagiotis Tsakalides (EUSIPCO, 2020)

Visibility Graph Network of Multidimensional Time Series Data for Protein Structure Classification. - Michaela Areti Zervou; Effrosyni Doutsi; Panagiotis Tsakalides (EUSIPCO, 2021)

Structural classification of proteins based on the computationally efficient recurrence quantification analysis and horizontal visibility graphs. - Michaela Areti Zervou; Effrosyni Doutsi; Pavlos Pavlidis; Panagiotis Tsakalides (Bioinform., 2021)

Neuronal Communication Process Opens New Directions in Image and Video Compression Systems. - Effrosyni Doutsi; Marc Antonini; Panagiotis Tsakalides (ERCIM News, 2021)

Dynamic Image Quantization Using Leaky Integrate-and-Fire Neurons. - Effrosyni Doutsi; Lionel Fillatre; Marc Antonini; Panagiotis Tsakalides (IEEE Trans. Image Process., 2021)

Secondary Structure Classification of Low-homology Proteins with Graph Neural Networks. - Michaela Areti Zervou; Effrosyni Doutsi; Panagiotis Tsakalides (EUSIPCO, 2022)

Retina-Inspired Spatio-Temporal Filtering for Dynamic Video Coding. - Effrosyni Doutsi; Marc Antonini; Panagiotis Tsakalides (ICIP, 2022)

Neuro-inspired Image Compression Architectures. - Anastasios Papanastasiou; Effrosyni Doutsi; Michalis E. Zervakis; Panagiotis Tsakalides (IST, 2022)

Efficient Protein Structural Class Prediction Via Chaos Game Representation and Recurrent Neural Networks. - Michaela Areti Zervou; Effrosyni Doutsi; Panagiotis Tsakalides (ICASSP, 2023)

Unleashing the Power of Artificial Intelligence for Personalised Drug Design. - Michaela Areti Zervou; Effrosyni Doutsi; Panagiotis Tsakalides (ERCIM News, 2023)

Multitask Classification of Antimicrobial Peptides for Simultaneous Assessment of Antimicrobial Property and Structural Fold. - Michaela Areti Zervou; Effrosyni Doutsi; Yannis Pantazis; Panagiotis Tsakalides (ICASSP, 2024)

A Spatiotemporal Decomposition of a Video Stream Based on the Retina-Inspired Filter. - Effrosyni Doutsi; Panagiotis Tsakalides (MMSP, 2024)