Nikolaos I. Papandrianos

Larisa, ESYE14 41334, Greece

Last Updated: 09/26/2026

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Found 22 publications

MedScanGAN: Synthetic PET & CT Scan Generation Using Conditional Generative Adversarial Networks for Medical AI Data Augmentation.

MedScanGAN: Synthetic PET & CT Scan Generation Using Conditional Generative Adversarial Networks for Medical AI Data Augmentation.

Journal: Bioengineering (Basel, Switzerland)

Published: February 03, 2026

Explainable deep learning self-supervised vision transformer for fundus-based myopia classification.

Explainable deep learning self-supervised vision transformer for fundus-based myopia classification.

Journal: Acta ophthalmologica

Published: January 26, 2026

Interpretable Machine Learning Identifies Key Inflammatory and Morphological Drivers of Intracranial Aneurysm Rupture Risk.

Interpretable Machine Learning Identifies Key Inflammatory and Morphological Drivers of Intracranial Aneurysm Rupture Risk.

Journal: Bioengineering (Basel, Switzerland)

Published: December 31, 2025

Between Two Worlds: Investigating the Intersection of Human Expertise and Machine Learning in the Case of Coronary Artery Disease Diagnosis.

Between Two Worlds: Investigating the Intersection of Human Expertise and Machine Learning in the Case of Coronary Artery Disease Diagnosis.

Journal: Bioengineering (Basel, Switzerland)

Published: August 10, 2024

Integrating Machine Learning in Clinical Practice for Characterizing the Malignancy of Solitary Pulmonary Nodules in PET/CT Screening.

Integrating Machine Learning in Clinical Practice for Characterizing the Malignancy of Solitary Pulmonary Nodules in PET/CT Screening.

Journal: Diseases (Basel, Switzerland)

Published: April 22, 2024

Fuzzy Cognitive Map Applications in Medicine over the Last Two Decades: A Review Study.

Fuzzy Cognitive Map Applications in Medicine over the Last Two Decades: A Review Study.

Journal: Bioengineering (Basel, Switzerland)

Published: December 16, 2023

AI-based classification algorithms in SPECT myocardial perfusion imaging for cardiovascular diagnosis: a review.

AI-based classification algorithms in SPECT myocardial perfusion imaging for cardiovascular diagnosis: a review.

Journal: Nuclear medicine communications

Published: December 14, 2022

Classification models for assessing coronary artery disease instances using clinical and biometric data: an explainable man-in-the-loop approach.

Classification models for assessing coronary artery disease instances using clinical and biometric data: an explainable man-in-the-loop approach.

Journal: Scientific reports

Published: November 22, 2022

Deep learning-enhanced nuclear medicine SPECT imaging applied to cardiac studies.

Deep learning-enhanced nuclear medicine SPECT imaging applied to cardiac studies.

Journal: EJNMMI physics

Published: August 29, 2022

Deep Learning Assessment for Mining Important Medical Image Features of Various Modalities.

Deep Learning Assessment for Mining Important Medical Image Features of Various Modalities.

Journal: Diagnostics (Basel, Switzerland)

Published: August 25, 2022

Deep Learning-Based Automated Diagnosis for Coronary Artery Disease Using SPECT-MPI Images.

Deep Learning-Based Automated Diagnosis for Coronary Artery Disease Using SPECT-MPI Images.

Journal: Journal of clinical medicine

Published: June 06, 2022

Deep learning exploration for SPECT MPI polar map images classification in coronary artery disease.

Deep learning exploration for SPECT MPI polar map images classification in coronary artery disease.

Journal: Annals of nuclear medicine

Published: March 12, 2022

Showing 1-12 of 22

Last Updated: 09/26/2026