Marina E. Plissiti

Orcid: 0000-0002-2344-9404

According to our database1, Marina E. Plissiti authored at least 17 papers between 2010 and 2024.

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Bibliography

2024
Deep Learning Based Detection of Anti-Reflective Obstacles in VLC Systems.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication , 2024

2023
Spatial Transformer Generative Adversarial Network for Image Super-Resolution.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

Composition of Motion from Video Animation Through Learning Local Transformations.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
FaceMask: A New Image Dataset for the Automated Identification of People Wearing Masks in the Wild.
Sensors, 2022

Signal decoding in an NLOS VLC system with the presence of anti-reflective obstacles.
Proceedings of the 10th IEEE International Black Sea Conference on Communications and Networking, 2022

2021
An efficient adaptive thresholding scheme for signal decoding in NLOS VLC systems.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2021

2018
Sipakmed: A New Dataset for Feature and Image Based Classification of Normal and Pathological Cervical Cells in Pap Smear Images.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2015
Inflammatory Cell Extraction and Nuclei Detection in Pap Smear Images.
Int. J. E Health Medical Commun., 2015

Segmentation of cell clusters in Pap smear images using intensity variation between superpixels.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015

2014
Splitting of overlapping nuclei guided by robust combinations of concavity points.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

2012
Methods for cytological image analysis
PhD thesis, 2012

Overlapping Cell Nuclei Segmentation Using a Spatially Adaptive Active Physical Model.
IEEE Trans. Image Process., 2012

Cervical Cell Classification Based Exclusively on Nucleus Features.
Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012

2011
Automated Detection of Cell Nuclei in Pap Smear Images Using Morphological Reconstruction and Clustering.
IEEE Trans. Inf. Technol. Biomed., 2011

Combining shape, texture and intensity features for cell nuclei extraction in Pap smear images.
Pattern Recognit. Lett., 2011

Cell nuclei segmentation by learning a physically based deformable model.
Proceedings of the 17th International Conference on Digital Signal Processing, 2011

2010
Accurate Localization of Cell Nuclei in PAP Smear Images using Gradient Vector Flow Deformable Models.
Proceedings of the BIOSIGNALS 2010, 2010


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