11 citations · 12 across the 3 of their papers we have counts for
3 papers
Outlier detection in maritime environments using AIS data and deep recurrent architectures
Constantine Maganaris, Eftychios Protopapadakis, Nikolaos Doulamis
A methodology based on deep recurrent models for maritime surveillance, over publicly available Automatic Identification System (AIS) data, is presented in this paper. The setup em…
Transferability limitations for Covid 3D Localization Using SARS-CoV-2 segmentation models in 4D CT images
Constantine Maganaris, Eftychios Protopapadakis, Nikolaos Bakalos +3
In this paper, we investigate the transferability limitations when using deep learning models, for semantic segmentation of pneumonia-infected areas in CT images. The proposed appr…
Evaluating Transferability for Covid 3D Localization Using CT SARS-CoV-2 segmentation models
Constantine Maganaris, Eftychios Protopapadakis, Nikolaos Bakalos +3
Recent studies indicate that detecting radiographic patterns on CT scans can yield high sensitivity and specificity for Covid-19 localization. In this paper, we investigate the app…