Search Results - "Pezoulas, Vasileios"
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A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals
Published in Computers in biology and medicine (01-08-2018)“…The electroencephalogram (EEG) is the most prominent means to study epilepsy and capture changes in electrical brain activity that could declare an imminent…”
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2
Region-adaptive magnetic resonance image enhancement for improving CNN-based segmentation of the prostate and prostatic zones
Published in Scientific reports (13-01-2023)“…Automatic segmentation of the prostate of and the prostatic zones on MRI remains one of the most compelling research areas. While different image enhancement…”
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3
Medical data quality assessment: On the development of an automated framework for medical data curation
Published in Computers in biology and medicine (01-04-2019)“…Data quality assessment has gained attention in the recent years since more and more companies and medical centers are highlighting the importance of an…”
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4
Primary Sjögren's Syndrome of Early and Late Onset: Distinct Clinical Phenotypes and Lymphoma Development
Published in Frontiers in immunology (19-10-2020)“…To study the clinical, serological and histologic features of primary Sjögren's syndrome (pSS) patients with early (young ≤35 years) or late (old ≥65 years)…”
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5
3D clustering of gene expression data from systemic autoinflammatory diseases using self-organizing maps (Clust3D)
Published in Computational and structural biotechnology journal (01-12-2024)“…Systemic autoinflammatory diseases (SAIDs) are characterized by widespread inflammation, but for most of them there is a lack of specific biomarkers for…”
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6
A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy
Published in Computers in biology and medicine (01-08-2021)“…Machine learning (ML) and artificial intelligence are emerging as important components of precision medicine that enhance diagnosis and risk stratification…”
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Synthetic data generation methods in healthcare: A review on open-source tools and methods
Published in Computational and structural biotechnology journal (01-12-2024)“…Synthetic data generation has emerged as a promising solution to overcome the challenges which are posed by data scarcity and privacy concerns, as well as, to…”
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AI-Enhanced Predictive Modeling for Identifying Depression and Delirium in Cardiovascular Patients Scheduled for Cardiac Surgery
Published in Diagnostics (Basel) (27-12-2023)“…Several studies have demonstrated a critical association between cardiovascular disease (CVD) and mental health, revealing that approximately one-third of…”
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9
A computational workflow for the detection of candidate diagnostic biomarkers of Kawasaki disease using time-series gene expression data
Published in Computational and structural biotechnology journal (01-01-2021)“…[Display omitted] •Time-series microarray gene expression data were clustered using SOMs.•Patients with Kawasaki disease were classified into four subgroups of…”
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10
An explainable machine learning-driven proposal of pulmonary fibrosis biomarkers
Published in Computational and structural biotechnology journal (2023)“…Pulmonary fibrosing diseases are in the very epicenter of biomedical research both due to their increasing prevalence and their association with SARS-CoV-2…”
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11
Functional Connectivity Analysis of Cerebellum Using Spatially Constrained Spectral Clustering
Published in IEEE journal of biomedical and health informatics (01-07-2019)“…The human cerebellum contains almost 50% of the neurons in the brain, although its volume does not exceed 10% of the total brain volume. The goal of this study…”
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A computational pipeline for data augmentation towards the improvement of disease classification and risk stratification models: A case study in two clinical domains
Published in Computers in biology and medicine (01-07-2021)“…Virtual population generation is an emerging field in data science with numerous applications in healthcare towards the augmentation of clinical research…”
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13
FHBF: Federated hybrid boosted forests with dropout rates for supervised learning tasks across highly imbalanced clinical datasets
Published in Patterns (New York, N.Y.) (12-01-2024)“…Although several studies have deployed gradient boosting trees (GBT) as a robust classifier for federated learning tasks (federated GBT [FGBT]), even with…”
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14
Corrigendum: Resting-State Functional Connectivity and Network Analysis of Cerebellum With Respect to IQ and Gender
Published in Frontiers in human neuroscience (28-05-2018)“…[This corrects the article on p. 189 in vol. 11, PMID: 28491028.]…”
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15
ICU admission and mortality classifiers for COVID-19 patients based on subgroups of dynamically associated profiles across multiple timepoints
Published in Computers in biology and medicine (01-02-2022)“…The coronavirus disease 2019 (COVID-19) which is caused by severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is consistently causing profound…”
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16
Multimodal automatic assessment of acute pain through facial videos and heart rate signals utilizing transformer-based architectures
Published in Frontiers in pain research (Lausanne, Switzerland) (27-03-2024)“…Accurate and objective pain evaluation is crucial in developing effective pain management protocols, aiming to alleviate distress and prevent patients from…”
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17
Machine Learning Approaches on High Throughput NGS Data to Unveil Mechanisms of Function in Biology and Disease
Published in Cancer genomics & proteomics (01-09-2021)“…In this review, the fundamental basis of machine learning (ML) and data mining (DM) are summarized together with the techniques for distilling knowledge from…”
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Bayesian Inference-Based Gaussian Mixture Models With Optimal Components Estimation Towards Large-Scale Synthetic Data Generation for In Silico Clinical Trials
Published in IEEE open journal of engineering in medicine and biology (01-01-2022)“…Goal : To develop a computationally efficient and unbiased synthetic data generator for large-scale in silico clinical trials (CTs). Methods: We propose the…”
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19
Resting-State Functional Connectivity and Network Analysis of Cerebellum with Respect to [corrected] IQ and Gender
Published in Frontiers in human neuroscience (26-04-2017)“…During the last years, it has been established that the prefrontal and posterior parietal brain lobes, which are mostly related to intelligence, have many…”
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Small airways dysfunction in patients with systemic sclerosis and interstitial lung disease
Published in Frontiers in medicine (14-11-2022)“…Background A number of studies report small airways involvement in patients with systemic sclerosis (SSc). Furthermore, small airways dysfunction is…”
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