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20162024
most citedUsing Deep Learning to Predict Plant Growth and Yield in Greenhouse Environments

96 citations · 311 across the 20 of their papers we have counts for

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eess.IV2024

COVID-19 Computer-aided Diagnosis through AI-assisted CT Imaging Analysis: Deploying a Medical AI System

Demetris Gerogiannis, Anastasios Arsenos, Dimitrios Kollias +2

Computer-aided diagnosis (CAD) systems stand out as potent aids for physicians in identifying the novel Coronavirus Disease 2019 (COVID-19) through medical imaging modalities. In t…

eess.IV2024★ 1 cited

Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans

Dimitrios Kollias, Anastasios Arsenos, Stefanos Kollias

The paper presents the DEF-AI-MIA COV19D Competition, which is organized in the framework of the 'Domain adaptation, Explainability, Fairness in AI for Medical Image Analysis (DEF-…

eess.IV2023

A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imaging

Dimitrios Kollias, Anastasios Arsenos, Stefanos Kollias

Harmonizing the analysis of data, especially of 3-D image volumes, consisting of different number of slices and annotated per volume, is a significant problem in training and using…

eess.IV2022★ 5 cited

AI-MIA: COVID-19 Detection & Severity Analysis through Medical Imaging

Dimitrios Kollias, Anastasios Arsenos, Stefanos Kollias

This paper presents the baseline approach for the organized 2nd Covid-19 Competition, occurring in the framework of the AIMIA Workshop in the European Conference on Computer Vision…

eess.IV2021

MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis

Dimitrios Kollias, Anastasios Arsenos, Levon Soukissian +1

Early and reliable COVID-19 diagnosis based on chest 3-D CT scans can assist medical specialists in vital circumstances. Deep learning methodologies constitute a main approach for…