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Georgios S Ioannidis

Showing results (1-10 of 16) with videos related to

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Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|August 21, 2019
Statistical and spatial correlation between diffusion and perfusion MR imaging parameters: A study on soft tissue sarcomasGeorgios S Ioannidis, Katerina Nikiforaki, Apostolos Karantanas
Diagnostics (Basel, Switzerland)|February 25, 2022
Quantification and Classification of Contrast Enhanced Ultrasound Breast Cancer Data: A Preliminary StudyGeorgios S Ioannidis, Michalis Goumenakis, Ioannis Stefanis, et al.
IEEE Journal of Biomedical and Health Informatics|December 22, 2018
Investigating the Correlation of Ktrans With Semi-Quantitative MRI Parameters Towards More Robust and Reproducible Perfusion Imaging Biomarkers in Three Cancer TypesGeorgios S Ioannidis, Thomas G Maris, Katerina Nikiforaki, et al.
Scientific Reports|July 31, 2021
A neural pathomics framework for classifying colorectal cancer histopathology images based on wavelet multi-scale texture analysisEleftherios Trivizakis, Georgios S Ioannidis, Ioannis Souglakos, et al.
European Radiology Experimental|May 8, 2020
Inverse Laplace transform and multiexponential fitting analysis of T2 relaxometry data: a phantom study with aqueous and fat containing samplesGeorgios S Ioannidis, Katerina Nikiforaki, Georgios Kalaitzakis, et al.
Frontiers in Neurology|December 4, 2023
Investigating the value of radiomics stemming from DSC quantitative biomarkers in IDH mutation prediction in gliomasGeorgios S Ioannidis, Laura Elin Pigott, Michael Iv, et al.
Journal of Imaging|November 26, 2025
Explainable Radiomics-Based Model for Automatic Image Quality Assessment in Breast Cancer DCE MRI DataGeorgios S Ioannidis, Katerina Nikiforaki, Aikaterini Dovrou, et al.
Oncology Reports|September 24, 2019
A novel deep learning architecture outperforming 'off‑the‑shelf' transfer learning and feature‑based methods in the automated assessment of mammographic breast densityEleftherios Trivizakis, Georgios S Ioannidis, Vasileios D Melissianos, et al.
Magnetic Resonance Imaging|August 20, 2018
A correlative study between diffusion and perfusion MR imaging parameters on peripheral arterial disease dataGeorgios S Ioannidis, Kostas Marias, Nikolaos Galanakis, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Explainable AI Radiomics in Prostate Cancer Aggressiveness Prediction using different quantitative Diffusion MRI modelsGeorgios S Ioannidis, Katerina Nikiforaki, Avtantil Dimitriadis, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|August 21, 2019
Statistical and spatial correlation between diffusion and perfusion MR imaging parameters: A study on soft tissue sarcomasGeorgios S Ioannidis, Katerina Nikiforaki, Apostolos Karantanas
Diagnostics (Basel, Switzerland)|February 25, 2022
Quantification and Classification of Contrast Enhanced Ultrasound Breast Cancer Data: A Preliminary StudyGeorgios S Ioannidis, Michalis Goumenakis, Ioannis Stefanis, et al.
IEEE Journal of Biomedical and Health Informatics|December 22, 2018
Investigating the Correlation of Ktrans With Semi-Quantitative MRI Parameters Towards More Robust and Reproducible Perfusion Imaging Biomarkers in Three Cancer TypesGeorgios S Ioannidis, Thomas G Maris, Katerina Nikiforaki, et al.
Scientific Reports|July 31, 2021
A neural pathomics framework for classifying colorectal cancer histopathology images based on wavelet multi-scale texture analysisEleftherios Trivizakis, Georgios S Ioannidis, Ioannis Souglakos, et al.
European Radiology Experimental|May 8, 2020
Inverse Laplace transform and multiexponential fitting analysis of T2 relaxometry data: a phantom study with aqueous and fat containing samplesGeorgios S Ioannidis, Katerina Nikiforaki, Georgios Kalaitzakis, et al.
Frontiers in Neurology|December 4, 2023
Investigating the value of radiomics stemming from DSC quantitative biomarkers in IDH mutation prediction in gliomasGeorgios S Ioannidis, Laura Elin Pigott, Michael Iv, et al.
Journal of Imaging|November 26, 2025
Explainable Radiomics-Based Model for Automatic Image Quality Assessment in Breast Cancer DCE MRI DataGeorgios S Ioannidis, Katerina Nikiforaki, Aikaterini Dovrou, et al.
Oncology Reports|September 24, 2019
A novel deep learning architecture outperforming 'off‑the‑shelf' transfer learning and feature‑based methods in the automated assessment of mammographic breast densityEleftherios Trivizakis, Georgios S Ioannidis, Vasileios D Melissianos, et al.
Magnetic Resonance Imaging|August 20, 2018
A correlative study between diffusion and perfusion MR imaging parameters on peripheral arterial disease dataGeorgios S Ioannidis, Kostas Marias, Nikolaos Galanakis, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Explainable AI Radiomics in Prostate Cancer Aggressiveness Prediction using different quantitative Diffusion MRI modelsGeorgios S Ioannidis, Katerina Nikiforaki, Avtantil Dimitriadis, et al.
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