X-Ray

Explainable AI Suite for Nuclear Medicine

An end-to-end environment for developing and interrogating deep learning models on nuclear medicine and radiological images. It handles study import,…

XAI Suite and Evidence-based AI validation tools

A cross-domain workbench for building, explaining and — critically — validating AI models before anyone trusts them. It couples model…

Highly-cited Publication about COVID-19 (1800+ citations)

Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks Ioannis D Apostolopoulos, Mpesi Tzani February 2023…

Ranked 2nd most cited University of Patras papers referring to the COVID-19 disease

Source: University of Patras

Deep Learning Methods to Reveal Important X-ray Features in COVID-19 Detection: Investigation of Explainability and Feature Reproducibility

Ioannis D. Apostolopoulos, Dimitris J. Apostolopoulos, Nikolaos D. Papathanasiou

Reports — Vol. 5, No. 2, pp. 20 10.3390/reports5020020

Modeling the spread of dangerous pandemics with the utilization of a hybrid-statistical–Advanced-Fuzzy-Cognitive-Map algorithm: the example of COVID-19

Peter P. Groumpos, Ioannis D. Apostolopoulos

Research on Biomedical Engineering — Vol. 37, No. 4, pp. 749-764 10.1007/s42600-021-00182-z

Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks

Ioannis D. Apostolopoulos, Tzani A. Mpesiana

Physical and Engineering Sciences in Medicine — Vol. 43, No. 2, pp. 635-640 10.1007/s13246-020-00865-4

Extracting Possibly Representative COVID-19 Biomarkers from X-ray Images with Deep Learning Approach and Image Data Related to Pulmonary Diseases

Ioannis D. Apostolopoulos, Sokratis I. Aznaouridis, Mpesiana A. Tzani

Journal of Medical and Biological Engineering — Vol. 40, No. 3, pp. 462-469 10.1007/s40846-020-00529-4