| 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 | 139 | 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 | 127 | 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 | 68 | 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 | 44 | 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 | 35 | 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 | 35 | 2019 |
| 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 | 21 | 2017 |
| 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 | 19 | 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 | 18 | 2020 |
| 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 | 13 | 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 | 10 | 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 | 9 | 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 | 9 | 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 | 2 | 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 | 1 | 2023 |
| Deep Learning Fundamentals E Trivizakis, K Marias Introduction to Artificial Intelligence, 101-131, 2023 | 1 | 2023 |
| Multi-modal data integration using machine and deep learning techniques for predicting high level clinical outcomes of non small cell lung cancer patients E Trivizakis http://hdl.handle.net/10442/hedi/56361, 2024 | | 2024 |
| 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 | | 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 | | 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 | | 2023 |
Kostas MariasProfessor, Dept. of Electrical & Computer Engineering, Hellenic Mediterranean University, Greece在 hmu.gr 的电子邮件经过验证
