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Dimitrios P. Panagoulias
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2020 – today
- 2025
[b1]Dimitrios P. Panagoulias
, George A. Tsihrintzis, Maria Virvou:
Artificial Intelligence-Empowered Bio-medical Applications - Challenges, Solutions and Development Guidelines. Springer 2025, ISBN 978-3-031-90173-7, pp. 3-287
[j6]George A. Tsihrintzis
, Elissaios Sarmas
, Vangelis Marinakis, Dimitrios P. Panagoulias
, Evangelia-Aikaterini Tsichrintzi
, Maria Virvou
:
Energy Urban Domain: Personalized Evaluation of Expert and Non-Expert Stakeholder Interaction With Artificial Intelligence Through ChatGPT Using the VIRTSI Model. IEEE Access 13: 62506-62526 (2025)
[j5]Dimitrios P. Panagoulias
, Evangelia-Aikaterini Tsichrintzi
, Dionisios N. Sotiropoulos, Konstantina Chrysafiadi
, Evangelos Sakkopoulos
, George A. Tsihrintzis
, Maria Virvou
:
LYRICEL: Knowledge Graphs Combined With Large Language Models and Machine Learning for Cross-Cultural Analysis of Lyrics - The Case of Greek Songs. IEEE Access 13: 141985-142006 (2025)
[j4]Dimitrios P. Panagoulias
, Evridiki Tsoureli-Nikita, Maria Virvou
, George A. Tsihrintzis
:
Dermacen analytica: A novel methodology integrating multi-modal large language models with machine learning in dermatology. Int. J. Medical Informatics 199: 105898 (2025)
[j3]Dimitrios P. Panagoulias
, Anastasios P. Palamidas, Maria Virvou, George A. Tsihrintzis
:
A framework for evaluation and requirement extraction for fine-tuning of Large Language Models in multimodal medical diagnosis. Knowl. Based Syst. 326: 113975 (2025)
[c25]Dimitrios P. Panagoulias, Persephone Papatheodosiou, Anastasios Bonakis, Dimitris G. Dikeos, Maria Virvou, George A. Tsihrintzis:
MemoryBERT: A Systematic Framework for Memory Identification. BIBE 2025: 711-717
[c24]Maria Virvou, George A. Tsihrintzis, Vangelis Marinakis, Elissaios Sarmas, Dimitrios P. Panagoulias, Evangelia-Aikaterini Tsichrintzi:
Trustworthy Integration of Generative AI and LLMs in the Energy Digital Spine: Epistemic Risk Models and Trust Performance Indicators. ICTAI 2025: 130-138
[c23]Dimitrios P. Panagoulias, Elissaios Sarmas, Vangelis Marinakis, Maria Virvou, George A. Tsihrintzis:
A Simulation Framework for Battery Optimization Under Extreme Energy Imbalance Using Machine Learning Forecasting. ICTAI 2025: 1272-1278
[c22]Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis:
Truth in Trees: A Multilayered Linguistic Framework for Automated Fact-Checking with AI-Driven Reasoning. KES 2025: 1032-1041
[c21]Dimitrios P. Panagoulias, Anastasios P. Palamidas, Maria Virvou, George A. Tsihrintzis:
An OSCE-Inspired Framework for Fine-Tuning Multimodal LLMs in Medical Diagnosis. KES 2025: 1042-1050
[c20]George A. Tsihrintzis, Elissaios Sarmas, Vangelis Marinakis, Dimitrios P. Panagoulias, Evangelia-Aikaterini Tsichrintzi, Maria Virvou:
Which AI and How Trusted by Human Energy Stakeholders? Comparing Generative AI ChatGPT With Domain Specific AI-ENERGIA-SYS. SMC 2025: 7066-7073- 2024
[j2]Dimitrios P. Panagoulias
, Maria Virvou
, George A. Tsihrintzis
:
A novel framework for artificial intelligence explainability via the Technology Acceptance Model and Rapid Estimate of Adult Literacy in Medicine using machine learning. Expert Syst. Appl. 248: 123375 (2024)
[c19]Dimitrios P. Panagoulias
, Maria Virvou, George A. Tsihrintzis:
Large Language Models as a Service: Optimisation Strategies via Knowledge Space Reduction. COINS 2024: 1-4
[c18]Dimitrios P. Panagoulias, Persephone Papatheodosiou, Anastasios Bonakis, Dimitrios Dikeos, Maria Virvou, George A. Tsihrintzis:
Memory and Schema in Human-Generative Artificial Intelligence Interactions. ICTAI 2024: 462-467
[c17]Dimitrios P. Panagoulias
, Persephone Papatheodosiou, Anastasios Bonakis, Dimitrios Dikeos, Maria Virvou, George A. Tsihrintzis:
Mathematical Representation of Memory and Schema for Improving Human-Generative AI Interactions. IISA 2024: 1-5
[c16]Dimitrios P. Panagoulias
, Dionisios N. Sotiropoulos, Konstantina Chrysafiadi, Evangelia-Aikaterini Tsichrintzi
, Evangelos Sakkopoulos, George A. Tsihrintzis, Maria Virvou:
LYRICEL: A Rule-Augmented Artificial Intelligence-Empowered Cultural E-Learning with GPT and Machine Learning for Song Lyrics. IISA 2024: 1-5
[c15]George A. Tsihrintzis, Elissaios Sarmas, Vangelis Marinakis, Dimitrios P. Panagoulias
, Evangelia-Aikaterini Tsichrintzi
, Maria Virvou:
Evaluating Non-Expert Stakeholder Interaction with Artificial Intelligence on Energy Urban Domain Using VIRTSI: The Case of ChatGPT. IISA 2024: 1-10
[c14]Dimitrios P. Panagoulias
, Maria Virvou, George A. Tsihrintzis:
Knowledge Space reduction via Sequential Language Model Integration. KES 2024: 1181-1190
[c13]Persephone Papatheodosiou, Dimitrios P. Panagoulias
, Maria Virvou, George A. Tsihrintzis, Anastasios Bonakis, Dimitrios Dikeos:
Leveraging Artificial Intelligence for personalised insomnia-sleep calibration via the Big Five Personality Traits. KES 2024: 2539-2548
[i4]Dimitrios P. Panagoulias
, Maria Virvou
, George A. Tsihrintzis:
Evaluating LLM - Generated Multimodal Diagnosis from Medical Images and Symptom Analysis. CoRR abs/2402.01730 (2024)
[i3]Dimitrios P. Panagoulias
, Evridiki Tsoureli-Nikita, Maria Virvou, George A. Tsihrintzis:
Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology. CoRR abs/2403.14243 (2024)
[i2]Dimitrios P. Panagoulias
, Persephone Papatheodosiou, Anastasios P. Palamidas, Mattheos Sanoudos, Evridiki Tsoureli-Nikita, Maria Virvou, George A. Tsihrintzis:
COGNET-MD, an evaluation framework and dataset for Large Language Model benchmarks in the medical domain. CoRR abs/2405.10893 (2024)
[i1]Dimitrios P. Panagoulias
, Elissaios Sarmas, Vangelis Marinakis, Maria Virvou, George A. Tsihrintzis:
Integrating Dynamic Correlation Shifts and Weighted Benchmarking in Extreme Value Analysis. CoRR abs/2411.13608 (2024)- 2023
[c12]Dimitrios P. Panagoulias
, Filippos A. Palamidas, Maria Virvou, George A. Tsihrintzis:
Evaluation of ChatGPT-supported diagnosis, staging and treatment planning for the case of lung cancer. AICCSA 2023: 1-8
[c11]Dimitrios P. Panagoulias
, Maria Virvou, George A. Tsihrintzis:
An Empirical Study Concerning the Impact of Perceived Usefulness and Ease of Use on the Adoption of AI-Empowered Medical Applications. BIBE 2023: 338-345
[c10]Dimitrios P. Panagoulias
, Filippos A. Palamidas, Maria K. Virvou
, George A. Tsihrintzis:
Rule-Augmented Artificial Intelligence-empowered Systems for Medical Diagnosis using Large Language Models. ICTAI 2023: 70-77
[c9]Dimitrios P. Panagoulias
, Maria Virvou
, George A. Tsihrintzis:
Tailored Explainability in Medical Artificial Intelligence-empowered Applications: Personalisation via the Technology Acceptance Model. ICTAI 2023: 486-490
[c8]Dimitrios P. Panagoulias
, Filippos A. Palamidas, Maria Virvou
, George A. Tsihrintzis:
Evaluating the Potential of LLMs and ChatGPT on Medical Diagnosis and Treatment. IISA 2023: 1-9
[c7]Dimitrios P. Panagoulias
, Maria Virvou
, George A. Tsihrintzis:
Applying DOI Theory to Assess the Required Level of Explainability in Artificial Intelligence-empowered Medical Applications. IISA 2023: 1-7- 2022
[c6]Dimitrios P. Panagoulias
, Maria Virvou
, George A. Tsihrintzis:
A microservices-based iterative development approach for usable, reliable and explainable A.I.-infused medical applications using R.U.P. ICTAI 2022: 1028-1035
[c5]Dimitrios P. Panagoulias
, Dionisios N. Sotiropoulos, George A. Tsihrintzis:
Extreme value analysis for dietary intake based on weight class. IISA 2022: 1-7
[c4]Dimitrios P. Panagoulias
, Maria Virvou
, George A. Tsihrintzis
:
Regulation and Validation Challenges in Artificial Intelligence-Empowered Healthcare Applications - The Case of Blood-Retrieved Biomarkers. JCKBSE 2022: 97-110
[c3]Dimitrios P. Panagoulias
, Maria Virvou
, George A. Tsihrintzis:
nuhealthsoft: A Nutritional and Health Data Processing Software Tool from a patient's perspective. SITIS 2022: 386-393- 2021
[j1]Dimitrios P. Panagoulias
, Dionisios N. Sotiropoulos, George A. Tsihrintzis:
Nutritional biomarkers and machine learning for personalized nutrition applications and health optimization. Intell. Decis. Technol. 15(4): 645-653 (2021)
[c2]Dimitrios P. Panagoulias
, Dionisios N. Sotiropoulos, George A. Tsihrintzis:
Biomarker-based deep learning for personalized nutrition. ICTAI 2021: 306-313
[c1]Dimitrios P. Panagoulias
, Dionisios N. Sotiropoulos, George A. Tsihrintzis:
Nutritional biomarkers and machine learning for personalized nutrition applications and health optimization. IISA 2021: 1-6
Coauthor Index

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