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Eleftherios Trivizakis

Showing results (1-10 of 15) with videos related to

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Diagnostics (Basel, Switzerland)|December 24, 2021
Deep Radiotranscriptomics of Non-Small Cell Lung Carcinoma for Assessing Molecular and Histology Subtypes with a Data-Driven AnalysisEleftherios Trivizakis, John Souglakos, Apostolos Karantanas, et al.
Insights Into Imaging|December 12, 2022
Enhancing cancer differentiation with synthetic MRI examinations via generative models: a systematic reviewAvtantil Dimitriadis, Eleftherios Trivizakis, Nikolaos Papanikolaou, et al.
Biomedical Engineering Online|December 15, 2023
Radiotranscriptomics of non-small cell lung carcinoma for assessing high-level clinical outcomes using a machine learning-derived multi-modal signatureEleftherios Trivizakis, Nikoletta-Maria Koutroumpa, John Souglakos, 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.
IEEE Journal of Biomedical and Health Informatics|December 19, 2018
Extending 2-D Convolutional Neural Networks to 3-D for Advancing Deep Learning Cancer Classification With Application to MRI Liver Tumor DifferentiationEleftherios Trivizakis, Georgios C Manikis, Katerina Nikiforaki, et al.
Neurosurgery|October 27, 2025
In Reply: Predicting Intracranial Pressure Levels: A Deep Learning Approach Using Computed Tomography Brain ScansDimitrios Theodoropoulos, Eleftherios Trivizakis, Kostas Marias, et al.
Neurosurgery|July 28, 2025
Predicting Intracranial Pressure Levels: A Deep Learning Approach Using Computed Tomography Brain ScansDimitrios Theodoropoulos, Eleftherios Trivizakis, Kostas Marias, 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.
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.
International Journal of Oncology|May 30, 2020
Artificial intelligence radiogenomics for advancing precision and effectiveness in oncologic care (Review)Eleftherios Trivizakis, Georgios Z Papadakis, Ioannis Souglakos, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

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Pageof 2
Diagnostics (Basel, Switzerland)|December 24, 2021
Deep Radiotranscriptomics of Non-Small Cell Lung Carcinoma for Assessing Molecular and Histology Subtypes with a Data-Driven AnalysisEleftherios Trivizakis, John Souglakos, Apostolos Karantanas, et al.
Insights Into Imaging|December 12, 2022
Enhancing cancer differentiation with synthetic MRI examinations via generative models: a systematic reviewAvtantil Dimitriadis, Eleftherios Trivizakis, Nikolaos Papanikolaou, et al.
Biomedical Engineering Online|December 15, 2023
Radiotranscriptomics of non-small cell lung carcinoma for assessing high-level clinical outcomes using a machine learning-derived multi-modal signatureEleftherios Trivizakis, Nikoletta-Maria Koutroumpa, John Souglakos, 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.
IEEE Journal of Biomedical and Health Informatics|December 19, 2018
Extending 2-D Convolutional Neural Networks to 3-D for Advancing Deep Learning Cancer Classification With Application to MRI Liver Tumor DifferentiationEleftherios Trivizakis, Georgios C Manikis, Katerina Nikiforaki, et al.
Neurosurgery|October 27, 2025
In Reply: Predicting Intracranial Pressure Levels: A Deep Learning Approach Using Computed Tomography Brain ScansDimitrios Theodoropoulos, Eleftherios Trivizakis, Kostas Marias, et al.
Neurosurgery|July 28, 2025
Predicting Intracranial Pressure Levels: A Deep Learning Approach Using Computed Tomography Brain ScansDimitrios Theodoropoulos, Eleftherios Trivizakis, Kostas Marias, 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.
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.
International Journal of Oncology|May 30, 2020
Artificial intelligence radiogenomics for advancing precision and effectiveness in oncologic care (Review)Eleftherios Trivizakis, Georgios Z Papadakis, Ioannis Souglakos, et al.
Pageof 2