Hasil Pencarian - Vasileios C. Pezoulas

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  1. 1
    Resting-State Functional Connectivity and Network Analysis of Cerebellum with Respect to IQ and Gender

    Resting-State Functional Connectivity and Network Analysis of Cerebellum with Respect to IQ and Gender oleh Vasileios C. Pezoulas, Michalis Zervakis, Sifis Michelogiannis, Manousos A. Klados

    Diterbitkan 2017-04-01
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  2. 2
    An explainable machine learning-driven proposal of pulmonary fibrosis biomarkers

    An explainable machine learning-driven proposal of pulmonary fibrosis biomarkers oleh Dionysios Fanidis, Vasileios C. Pezoulas, Dimitrios I. Fotiadis, Vassilis Aidinis

    Diterbitkan 2023-01-01
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  3. 3
    Corrigendum: Resting-State Functional Connectivity and Network Analysis of Cerebellum With Respect to IQ and Gender

    Corrigendum: Resting-State Functional Connectivity and Network Analysis of Cerebellum With Respect to IQ and Gender oleh Vasileios C. Pezoulas, Michalis Zervakis, Sifis Michelogiannis, Manousos A. Klados

    Diterbitkan 2018-05-01
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  4. 4
    3D clustering of gene expression data from systemic autoinflammatory diseases using self-organizing maps (Clust3D)

    3D clustering of gene expression data from systemic autoinflammatory diseases using self-organizing maps (Clust3D) oleh Orestis D. Papagiannopoulos, Vasileios C. Pezoulas, Costas Papaloukas, Dimitrios I. Fotiadis

    Diterbitkan 2024-12-01
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  5. 5
    AI-Enhanced Predictive Modeling for Identifying Depression and Delirium in Cardiovascular Patients Scheduled for Cardiac Surgery

    AI-Enhanced Predictive Modeling for Identifying Depression and Delirium in Cardiovascular Patients Scheduled for Cardiac Surgery oleh Karina Nowakowska, Antonis Sakellarios, Jakub Kaźmierski, Dimitrios I. Fotiadis, Vasileios C. Pezoulas

    Diterbitkan 2023-12-01
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  6. 6
    Bayesian Inference-Based Gaussian Mixture Models With Optimal Components Estimation Towards Large-Scale Synthetic Data Generation for <italic>In Silico</italic> Clinical Trials

    Bayesian Inference-Based Gaussian Mixture Models With Optimal Components Estimation Towards Large-Scale Synthetic Data Generation for <italic>In Silico</italic> Clinical Trials oleh Vasileios C. Pezoulas, Nikolaos S. Tachos, George Gkois, Iacopo Olivotto, Fausto Barlocco, Dimitrios I. Fotiadis

    Diterbitkan 2022-01-01
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  7. 7
    Synthetic data generation methods in healthcare: A review on open-source tools and methods

    Synthetic data generation methods in healthcare: A review on open-source tools and methods oleh Vasileios C. Pezoulas, Dimitrios I. Zaridis, Eugenia Mylona, Christos Androutsos, Kosmas Apostolidis, Nikolaos S. Tachos, Dimitrios I. Fotiadis

    Diterbitkan 2024-12-01
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  8. 8
    A computational workflow for the detection of candidate diagnostic biomarkers of Kawasaki disease using time-series gene expression data

    A computational workflow for the detection of candidate diagnostic biomarkers of Kawasaki disease using time-series gene expression data oleh Vasileios C. Pezoulas, Costas Papaloukas, Maëva Veyssiere, Andreas Goules, Athanasios G. Tzioufas, Vassili Soumelis, Dimitrios I. Fotiadis

    Diterbitkan 2021-01-01
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  9. 9
    Region-adaptive magnetic resonance image enhancement for improving CNN-based segmentation of the prostate and prostatic zones

    Region-adaptive magnetic resonance image enhancement for improving CNN-based segmentation of the prostate and prostatic zones oleh Dimitrios I. Zaridis, Eugenia Mylona, Nikolaos Tachos, Vasileios C. Pezoulas, Grigorios Grigoriadis, Nikos Tsiknakis, Kostas Marias, Manolis Tsiknakis, Dimitrios I. Fotiadis

    Diterbitkan 2023-01-01
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  10. 10
    A Multimodal Approach for the Risk Prediction of Intensive Care and Mortality in Patients with COVID-19

    A Multimodal Approach for the Risk Prediction of Intensive Care and Mortality in Patients with COVID-19 oleh Vasileios C. Pezoulas, Konstantina D. Kourou, Costas Papaloukas, Vassiliki Triantafyllia, Vicky Lampropoulou, Eleni Siouti, Maria Papadaki, Maria Salagianni, Evangelia Koukaki, Nikoletta Rovina, Antonia Koutsoukou, Evangelos Andreakos, Dimitrios I. Fotiadis

    Diterbitkan 2021-12-01
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  11. 11
    Predicting Lymphoma Development by Exploiting Genetic Variants and Clinical Findings in a Machine Learning-Based Methodology With Ensemble Classifiers in a Cohort of Sj&#x00F6;gren&#x0027;s Syndrome Patients

    Predicting Lymphoma Development by Exploiting Genetic Variants and Clinical Findings in a Machine Learning-Based Methodology With Ensemble Classifiers in a Cohort of Sj&#x00F6;gren... oleh Konstantina D. Kourou, Vasileios C. Pezoulas, Eleni I. Georga, Themis Exarchos, Costas Papaloukas, Michalis Voulgarelis, Andreas Goules, Andrianos Nezos, Athanasios G. Tzioufas, Earalampos M. Moutsopoulos, Clio Mavragani, Dimitrios I. Fotiadis

    Diterbitkan 2020-01-01
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  12. 12
    Multimodal automatic assessment of acute pain through facial videos and heart rate signals utilizing transformer-based architectures

    Multimodal automatic assessment of acute pain through facial videos and heart rate signals utilizing transformer-based architectures oleh Stefanos Gkikas, Stefanos Gkikas, Nikolaos S. Tachos, Nikolaos S. Tachos, Stelios Andreadis, Vasileios C. Pezoulas, Dimitrios Zaridis, Dimitrios Zaridis, George Gkois, Anastasia Matonaki, Thanos G. Stavropoulos, Dimitrios I. Fotiadis, Dimitrios I. Fotiadis

    Diterbitkan 2024-03-01
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  13. 13
    Overcoming the Barriers That Obscure the Interlinking and Analysis of Clinical Data Through Harmonization and Incremental Learning

    Overcoming the Barriers That Obscure the Interlinking and Analysis of Clinical Data Through Harmonization and Incremental Learning oleh Vasileios C. Pezoulas, Konstantina D. Kourou, Fanis Kalatzis, Themis P. Exarchos, Evi Zampeli, Saviana Gandolfo, Andreas Goules, Chiara Baldini, Fotini Skopouli, Salvatore De Vita, Athanasios G. Tzioufas, Dimitrios I. Fotiadis

    Diterbitkan 2020-01-01
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  14. 14
    Small airways dysfunction in patients with systemic sclerosis and interstitial lung disease

    Small airways dysfunction in patients with systemic sclerosis and interstitial lung disease oleh Panagiotis K. Panagopoulos, Andreas V. Goules, Andreas V. Goules, Vasiliki E. Georgakopoulou, Anastasios Kallianos, Eirini Chatzinikita, Vasileios C. Pezoulas, Katerina Malagari, Dimitrios I. Fotiadis, Panayiotis Vlachoyiannopoulos, Panayiotis Vlachoyiannopoulos, Theodoros Vassilakopoulos, Athanasios G. Tzioufas, Athanasios G. Tzioufas

    Diterbitkan 2022-11-01
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  15. 15
    Disease Progression of Hypertrophic Cardiomyopathy: Modeling Using Machine Learning

    Disease Progression of Hypertrophic Cardiomyopathy: Modeling Using Machine Learning oleh Matej Pičulin, Tim Smole, Bojan Žunkovič, Enja Kokalj, Marko Robnik-Šikonja, Matjaž Kukar, Dimitrios I Fotiadis, Vasileios C Pezoulas, Nikolaos S Tachos, Fausto Barlocco, Francesco Mazzarotto, Dejana Popović, Lars S Maier, Lazar Velicki, Iacopo Olivotto, Guy A MacGowan, Djordje G Jakovljević, Nenad Filipović, Zoran Bosnić

    Diterbitkan 2022-02-01
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  16. 16
    Primary Sjögren’s Syndrome of Early and Late Onset: Distinct Clinical Phenotypes and Lymphoma Development

    Primary Sjögren’s Syndrome of Early and Late Onset: Distinct Clinical Phenotypes and Lymphoma Development oleh Andreas V. Goules, Andreas V. Goules, Ourania D. Argyropoulou, Ourania D. Argyropoulou, Vasileios C. Pezoulas, Loukas Chatzis, Loukas Chatzis, Elena Critselis, Elena Critselis, Saviana Gandolfo, Francesco Ferro, Marco Binutti, Valentina Donati, Sara Zandonella Callegher, Aliki Venetsanopoulou, Aliki Venetsanopoulou, Evangelia Zampeli, Maria Mavrommati, Paraskevi V. Voulgari, Themis Exarchos, Clio P. Mavragani, Chiara Baldini, Fotini N. Skopouli, Dimitrios I. Fotiadis, Dimitrios I. Fotiadis, Salvatore De Vita, Haralampos M. Moutsopoulos, Haralampos M. Moutsopoulos, Athanasios G. Tzioufas, Athanasios G. Tzioufas

    Diterbitkan 2020-10-01
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  17. 17
    Addressing the clinical unmet needs in primary Sjögren’s Syndrome through the sharing, harmonization and federated analysis of 21 European cohorts

    Addressing the clinical unmet needs in primary Sjögren’s Syndrome through the sharing, harmonization and federated analysis of 21 European cohorts oleh Vasileios C. Pezoulas, Andreas Goules, Fanis Kalatzis, Luke Chatzis, Konstantina D. Kourou, Aliki Venetsanopoulou, Themis P. Exarchos, Saviana Gandolfo, Konstantinos Votis, Evi Zampeli, Jan Burmeister, Thorsten May, Manuel Marcelino Pérez, Iryna Lishchuk, Thymios Chondrogiannis, Vassiliki Andronikou, Theodora Varvarigou, Nenad Filipovic, Manolis Tsiknakis, Chiara Baldini, Michele Bombardieri, Hendrika Bootsma, Simon J. Bowman, Muhammad Shahnawaz Soyfoo, Dorian Parisis, Christine Delporte, Valérie Devauchelle-Pensec, Jacques-Olivier Pers, Thomas Dörner, Elena Bartoloni, Roberto Gerli, Roberto Giacomelli, Roland Jonsson, Wan-Fai Ng, Roberta Priori, Manuel Ramos-Casals, Kathy Sivils, Fotini Skopouli, Witte Torsten, Joel A. G. van Roon, Mariette Xavier, Salvatore De Vita, Athanasios G. Tzioufas, Dimitrios I. Fotiadis

    Diterbitkan 2022-01-01
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