1 citations · 1 across the 3 of their papers we have counts for
4 papers
H2: A Dual Hybrid Semantic Data Lake Architecture for Medical Data Harmonization with Human-In-the-Loop verified, LLM Driven Metadata Annotation System
Ioannis N. Tzortzis, Georgia Kapetadimitri, Agapi Davradou +6
Medical data, by its nature, exhibit a high degree of heterogeneity on multiple levels ranging from (a) different modalities like images, text and time series, (b) diverse tabular…
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…
Space-Time Domain Tensor Neural Networks: An Application on Human Pose Classification
Konstantinos Makantasis, Athanasios Voulodimos, Anastasios Doulamis +2
Recent advances in sensing technologies require the design and development of pattern recognition models capable of processing spatiotemporal data efficiently. In this study, we pr…