Eleftherios Trivizakis
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Extending 2-D convolutional neural networks to 3-D for advancing deep learning cancer classification with application to MRI liver tumor differentiation
E Trivizakis, GC Manikis, K Nikiforaki, K Drevelegas, M Constantinides, ...
IEEE journal of biomedical and health informatics 23 (3), 923-930, 2018
Interpretable artificial intelligence framework for COVID‑19 screening on chest X‑rays
N Tsiknakis, E Trivizakis, EE Vassalou, GZ Papadakis, DA Spandidos, ...
Experimental and Therapeutic Medicine 20 (2), 727-735, 2020
Artificial intelligence radiogenomics for advancing precision and effectiveness in oncologic care
E Trivizakis, GZ Papadakis, I Souglakos, N Papanikolaou, L Koumakis, ...
International journal of oncology 57 (1), 43-53, 2020
A novel multi-kernel 1D convolutional neural network for stress recognition from ECG
G Giannakakis, E Trivizakis, M Tsiknakis, K Marias
2019 8th International Conference on Affective Computing and Intelligent …, 2019
A neural pathomics framework for classifying colorectal cancer histopathology images based on wavelet multi-scale texture analysis
E Trivizakis, GS Ioannidis, I Souglakos, AH Karantanas, M Tzardi, ...
Scientific reports 11 (1), 15546, 2021
A novel deep learning architecture outperforming ‘off‑the‑shelf’transfer learning and feature‑based methods in the automated assessment of mammographic breast density
E Trivizakis, GS Ioannidis, VD Melissianos, GZ Papadakis, A Tsatsakis, ...
Oncology reports 42 (5), 2009-2015, 2019
Deep Radiotranscriptomics of Non-Small Cell Lung Carcinoma for Assessing Molecular and Histology Subtypes with a Data-Driven Analysis
E Trivizakis, J Souglakos, A Karantanas, K Marias
Diagnostics 11 (12), 2383, 2021
Advancing COVID‑19 differentiation with a robust preprocessing and integration of multi‑institutional open‑repository computer tomography datasets for deep learning analysis
E Trivizakis, N Tsiknakis, EE Vassalou, GZ Papadakis, DA Spandidos, ...
Experimental and therapeutic medicine 20 (5), 1-1, 2020
EvoRDF: A framework for exploring ontology evolution
H Kondylakis, M Despoina, G Glykokokalos, E Kalykakis, M Karapiperakis, ...
The Semantic Web: ESWC 2017 Satellite Events: ESWC 2017 Satellite Events …, 2017
Pathomics and deep learning classification of a heterogeneous fluorescence histology image dataset
GS Ioannidis, E Trivizakis, I Metzakis, S Papagiannakis, E Lagoudaki, ...
Applied Sciences 11 (9), 3796, 2021
Cerebral CT perfusion in acute stroke: the effect of lowering the tube load and sampling rate on the reproducibility of parametric maps
GS Ioannidis, S Christensen, K Nikiforaki, E Trivizakis, K Perisinakis, ...
Diagnostics 11 (6), 1121, 2021
Enhancing cancer differentiation with synthetic MRI examinations via generative models: a systematic review
A Dimitriadis, E Trivizakis, N Papanikolaou, M Tsiknakis, K Marias
Insights into Imaging 13 (1), 188, 2022
Emerging deep learning techniques using magnetic resonance imaging data applied in multiple sclerosis and clinical isolated syndrome patients (Review)
EE Kontopodis, E Papadaki, E Trivizakis, TG Maris, P Simos, ...
Experimental and Therapeutic Medicine 22 (4), 1149, 2021
LoockMe: An Ever Evolving Artificial Intelligence Platform for Location Scouting in Greece
E Trivizakis, V Aidonis, VC Pezoulas, Y Goletsis, N Oikonomou, I Stefanis, ...
International Conference on Engineering Applications of Neural Networks, 315-327, 2023
Radiotranscriptomics of non-small cell lung carcinoma for assessing high-level clinical outcomes using a machine learning-derived multi-modal signature
E Trivizakis, NM Koutroumpa, J Souglakos, A Karantanas, M Zervakis, ...
BioMedical Engineering OnLine 22 (1), 125, 2023
Deep Learning Fundamentals
E Trivizakis, K Marias
Introduction to Artificial Intelligence, 101-131, 2023
Ensemble of Heterogeneous Machine Learning Models with Multiple Inputs for Multi-Omics Analysis
E Trivizakis, V Koutoulidis, L A. Moulopoulos, E Terpos, ...
IEEE EMBS International Conference on Data Science and Engineering in …, 2023
Fully automated detection and segmentation pipeline for the bone marrow of the lytic bone of multiple myeloma patients
E Koutoulakis, E Trivizakis, V Koutoulidis, L A. Moulopoulos, E Terpos, ...
IEEE EMBS International Conference on Data Science and Engineering in …, 2023
A Machine Learning Framework for Hair Type Categorization to Optimize the Hair Removal Algorithm in Dermatoscopy Images
GS Ioannidis, E Trivizakis, K Krasagakis, A Lallas, Z Apalla, G Evangelou, ...
IEEE EMBS International Conference on Data Science and Engineering in …, 2023
Deep Learning-based Detection of Greek Locations and Landmarks: A Qualitative Analysis of Weakly Supervised Classification and Supervised Detection
E Trivizakis, T Kassiotis, N Oikonomou, I Karatzanis, I Stefanis, ...
8th IEEE International Conference on Mathematics and Computers in Sciences …, 2023
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