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Vasileios C Pezoulas

Showing results (1-10 of 46) with videos related to

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Frontiers in Human Neuroscience|June 7, 2018
Corrigendum: Resting-State Functional Connectivity and Network Analysis of Cerebellum With Respect to IQ and GenderVasileios C Pezoulas, Michalis Zervakis, Sifis Michelogiannis, et al.
Frontiers in Human Neuroscience|May 12, 2017
Resting-State Functional Connectivity and Network Analysis of Cerebellum with Respect to [corrected] IQ and GenderVasileios C Pezoulas, Michalis Zervakis, Sifis Michelogiannis, et al.
Computational and Structural Biotechnology Journal|April 3, 2023
An explainable machine learning-driven proposal of pulmonary fibrosis biomarkersDionysios Fanidis, Vasileios C Pezoulas, Dimitrios Ι Fotiadis, et al.
Computational and Structural Biotechnology Journal|June 3, 2024
3D clustering of gene expression data from systemic autoinflammatory diseases using self-organizing maps (Clust3D)Orestis D Papagiannopoulos, Vasileios C Pezoulas, Costas Papaloukas, et al.
Diagnostics (Basel, Switzerland)|January 11, 2024
AI-Enhanced Predictive Modeling for Identifying Depression and Delirium in Cardiovascular Patients Scheduled for Cardiac SurgeryKarina Nowakowska, Antonis Sakellarios, Jakub Kaźmierski, 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 11, 2021
Multiple additive regression trees with hybrid loss for classification tasks across heterogeneous clinical data in distributed environments: a case studyVasileios C Pezoulas, Themis P Exarchos, Athanasios G Tzioufas, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
A "smart" Imputation Approach for Effective Quality Control Across Complex Clinical Data StructuresVasileios C Pezoulas, Nikolaos S Tachos, Iacopo Olivotto, et al.
IEEE Open Journal of Engineering in Medicine and Biology|March 2, 2023
Bayesian Inference-Based Gaussian Mixture Models With Optimal Components Estimation Towards Large-Scale Synthetic Data Generation for <i>In Silico</i> Clinical TrialsVasileios C Pezoulas, Nikolaos S Tachos, George Gkois, et al.
IEEE Journal of Biomedical and Health Informatics|September 7, 2018
Functional Connectivity Analysis of Cerebellum Using Spatially Constrained Spectral ClusteringVasileios C Pezoulas, Kostas Michalopoulos, Manousos A Klados, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Predicting lymphoma outcomes and risk factors in patients with primary Sjögren's Syndrome using gradient boosting tree ensemblesVasileios C Pezoulas, Themis P Exarchos, Athanasios G Tzioufas, et al.
Pageof 5

Showing results (1-10 of 46) with videos related to

Sort By:
Pageof 5
Frontiers in Human Neuroscience|June 7, 2018
Corrigendum: Resting-State Functional Connectivity and Network Analysis of Cerebellum With Respect to IQ and GenderVasileios C Pezoulas, Michalis Zervakis, Sifis Michelogiannis, et al.
Frontiers in Human Neuroscience|May 12, 2017
Resting-State Functional Connectivity and Network Analysis of Cerebellum with Respect to [corrected] IQ and GenderVasileios C Pezoulas, Michalis Zervakis, Sifis Michelogiannis, et al.
Computational and Structural Biotechnology Journal|April 3, 2023
An explainable machine learning-driven proposal of pulmonary fibrosis biomarkersDionysios Fanidis, Vasileios C Pezoulas, Dimitrios Ι Fotiadis, et al.
Computational and Structural Biotechnology Journal|June 3, 2024
3D clustering of gene expression data from systemic autoinflammatory diseases using self-organizing maps (Clust3D)Orestis D Papagiannopoulos, Vasileios C Pezoulas, Costas Papaloukas, et al.
Diagnostics (Basel, Switzerland)|January 11, 2024
AI-Enhanced Predictive Modeling for Identifying Depression and Delirium in Cardiovascular Patients Scheduled for Cardiac SurgeryKarina Nowakowska, Antonis Sakellarios, Jakub Kaźmierski, 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 11, 2021
Multiple additive regression trees with hybrid loss for classification tasks across heterogeneous clinical data in distributed environments: a case studyVasileios C Pezoulas, Themis P Exarchos, Athanasios G Tzioufas, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
A "smart" Imputation Approach for Effective Quality Control Across Complex Clinical Data StructuresVasileios C Pezoulas, Nikolaos S Tachos, Iacopo Olivotto, et al.
IEEE Open Journal of Engineering in Medicine and Biology|March 2, 2023
Bayesian Inference-Based Gaussian Mixture Models With Optimal Components Estimation Towards Large-Scale Synthetic Data Generation for <i>In Silico</i> Clinical TrialsVasileios C Pezoulas, Nikolaos S Tachos, George Gkois, et al.
IEEE Journal of Biomedical and Health Informatics|September 7, 2018
Functional Connectivity Analysis of Cerebellum Using Spatially Constrained Spectral ClusteringVasileios C Pezoulas, Kostas Michalopoulos, Manousos A Klados, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Predicting lymphoma outcomes and risk factors in patients with primary Sjögren's Syndrome using gradient boosting tree ensemblesVasileios C Pezoulas, Themis P Exarchos, Athanasios G Tzioufas, et al.
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