C. Papaloukas

发表

Electrocardiogram (ECG): Automated Diagnosis

A. Likas, L. Michalis, D. Fotiadis, 2006 .

Fetal heart rate extraction from composite maternal ECG using complex continuous wavelet transform

D. Fotiadis, E. Karvounis, L. Michalis, 2004, Computers in Cardiology, 2004.

Predicting Lymphoma Development by Exploiting Genetic Variants and Clinical Findings in a Machine Learning-Based Methodology With Ensemble Classifiers in a Cohort of Sjögren's Syndrome Patients

Eleni I. Georga, D. Fotiadis, T. Exarchos, 2020, IEEE Open Journal of Engineering in Medicine and Biology.

A Non-invasive Methodology for Fetal Monitoring during Pregnancy

D I Fotiadis, M. Tsipouras, E. Karvounis, 2009, Methods of Information in Medicine.

A knowledge-based technique for automated detection of ischaemic episodes in long duration electrocardiograms

C. Papaloukas, A. P. Liavas, D. Fotiadis, 2006, Medical and Biological Engineering and Computing.

Automated methods for ischemia detection in long-duration ECGs

Dimitrios I. Fotiadis, Aristidis Likas, Costas Papaloukas, 2003 .

Use of a novel rule-based expert system in the detection of changes in the ST segment and the T wave in long duration ECGs.

Dimitrios I Fotiadis, Aristidis Likas, Costas Papaloukas, 2002, Journal of electrocardiology.

Chapter 2 HMMs in Protein Fold Classification

D. Fotiadis, T. Exarchos, C. Papaloukas, 2018 .

A Novel Method for Protein Fold Recognition Using Sequential Pattern Mining and Optimization Algorithms

D. Fotiadis, M. Tsipouras, T. Exarchos, 2022 .

Sequence patterns mediating functions of disordered proteins.

D. Fotiadis, M. Karamouzis, T. Exarchos, 2015, Advances in experimental medicine and biology.

Bayesian algorithm implementation in a real time calculating risk assessment model on benzene ”

D. Sarigiannis, P. Kassomenos, A. Gotti, 2008 .

A DECISION TREE BASED APPROACH FOR THE IDENTIFICATION OF ISCHAEMIC BEATS IN ECG RECORDINGS

Costas Papaloukas, D. I. Fotiadis, T. P. Exarchos, 2006 .

Short Term Glucose Prediction in Patients with Type 1 Diabetes Mellitus

Eleni I. Georga, D. Fotiadis, C. Papaloukas, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Predicting the need for mechanical ventilation and mortality in hospitalized COVID-19 patients who received heparin

D. Fotiadis, H. Milionis, E. Mylona, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Comparison of High-Throughput Technologies in the Classification of Adult-Onset Still's Disease Patients

D. Fotiadis, Konstantina D. Kourou, C. Papaloukas, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Assessment and prediction of short term hospital admissions: the case of Athens, Greece

Costas Papaloukas, Spyros P. Karakitsios, M. Petrakis, 2008 .

Assessment and prediction of exposure to benzene of filling station employees

Costas Papaloukas, Spyros P. Karakitsios, Georgios A. Pilidis, 2007 .

Novel Wnt signaling and other pathway inhibitors in the colorectal cancer genomic landscape era.

D. Roukos, D. Ziogas, C. Papaloukas, 2012, Future oncology.

Identification of differentially expressed genes through a meta-analysis approach for oral cancer classification

Dimitrios I. Fotiadis, Konstantina Kourou, Costas Papaloukas, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A computational workflow for the detection of candidate diagnostic biomarkers of Kawasaki disease using time-series gene expression data

D. Fotiadis, V. Soumelis, A. Tzioufas, 2021, Computational and structural biotechnology journal.

From targeted monotherapy to combined BRAF-MEK inhibitors and integrated genome analysis for melanoma treatment.

M. Tzaphlidou, D. Roukos, C. Papaloukas, 2013, Future oncology.

Integrating NGS and third-generation sequencing technologies into clinical genomic medicine

M. Tzaphlidou, D. Roukos, C. Papaloukas, 2013 .

Comparison of statistical clustering techniques for the classification of modelled atmospheric trajectories

Julio Lumbreras, Costas Papaloukas, Sotiris Vardoulakis, 2010 .

Applied machine learning in cancer research: A systematic review for patient diagnosis, classification and prognosis

D. Fotiadis, T. Exarchos, Konstantina D. Kourou, 2021, Computational and structural biotechnology journal.

Automated ischemic beat classification using genetic algorithms and multicriteria decision analysis

Yorgos Goletsis, Dimitrios I. Fotiadis, Lampros K. Michalis, 2004, IEEE Transactions on Biomedical Engineering.

An optimized sequential pattern matching methodology for sequence classification

Dimitrios I. Fotiadis, Costas Papaloukas, Themis P. Exarchos, 2009, Knowledge and Information Systems.

A two-stage methodology for sequence classification based on sequential pattern mining and optimization

Dimitrios I. Fotiadis, Costas Papaloukas, Themis P. Exarchos, 2008, Data Knowl. Eng..

Biosequence Classification using Sequential Pattern Mining and Optimization

C. Papaloukas, D.I. Fotiadis, M.G. Tsipouras, 2007, 2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine.

An association rule mining-based methodology for automated detection of ischemic ECG beats

Dimitrios I. Fotiadis, Lampros K. Michalis, Costas Papaloukas, 2006, IEEE Transactions on Biomedical Engineering.

Machine Learning Approaches in Study of Multiple Sclerosis Disease Through Magnetic Resonance Images

V. Soumelis, C. Papaloukas, A. Lefèvre-Utile, 2021, Frontiers in Immunology.

A methodology for the automated creation of fuzzy expert systems for ischaemic and arrhythmic beat classification based on a set of rules obtained by a decision tree

Dimitrios I. Fotiadis, Lampros K. Michalis, Costas Papaloukas, 2007, Artif. Intell. Medicine.

ICU admission and mortality classifiers for COVID-19 patients based on subgroups of dynamically associated profiles across multiple timepoints

D. Fotiadis, H. Milionis, E. Mylona, 2021, Computers in Biology and Medicine.

COMPARISON OF HIERARCHICAL , NON-HIERARCHICAL AND NEURAL NETWORK CLUSTERING TECHNIQUES FOR THE CLASSIFICATION OF ATMOSPHERIC BACK TRAJECTORIES

S. Vardoulakis, P. Kassomenos, R. Borge, 2007 .

A Multimodal Approach for the Risk Prediction of Intensive Care and Mortality in Patients with COVID-19

D. Fotiadis, N. Rovina, A. Koutsoukou, 2021, Diagnostics.

DNA nucleoside interaction and identification with carbon nanotubes.

E. Kaxiras, P. Maragakis, S. Meng, 2007, Nano letters.

Assessing The Predictive Value Of Regulatory Molecules For Patient Outcome In Pancreatic Cancer: A Computational Approach

Dimitrios I. Fotiadis, Konstantina Kourou, Costas Papaloukas, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A hybrid approach based on dynamic trajectories to predict mortality in COVID-19 patients upon steroids administration

D. Fotiadis, H. Milionis, Angelos Liontos, 2022, 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

A computational pipeline for deciphering the molecular mechanisms of oral cancer progression

Dimitrios I. Fotiadis, Konstantina Kourou, Costas Papaloukas, 2017, 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Evaluation of alternative serum biomarkers to monitor the progression of chronic HBV and HCV infection.

K. Adamidis, C. Papaloukas, J. Koskinas, 2018, Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases.

Gene expression 'signature' limitations and genome architecture-based perspectives for robust cancer biomarkers.

D. Roukos, C. Papaloukas, G. Baltogiannis, 2013, Biomarkers in medicine.

Detection of discriminative sequence patterns in the neighborhood of proline cis peptide bonds and their functional annotation

Dimitrios I. Fotiadis, Costas Papaloukas, Themis P. Exarchos, 2009, BMC Bioinformatics.

Cancer classification from time series microarray data through regulatory Dynamic Bayesian Networks

Dimitrios I Fotiadis, Konstantina Kourou, Costas Papaloukas, 2020, Comput. Biol. Medicine.

PBOND: Web Server for the Prediction of Proline and Non-Proline cis/trans Isomerization

Dimitrios I. Fotiadis, Costas Papaloukas, Themis P. Exarchos, 2009, Genom. Proteom. Bioinform..

Prediction of cis/trans isomerization using feature selection and support vector machines

Dimitrios I. Fotiadis, Costas Papaloukas, Themis P. Exarchos, 2009, J. Biomed. Informatics.

Analysis of Protein Interaction Networks for the Detection of Candidate Hepatitis B and C Biomarkers

Costas Papaloukas, Thomas Simos, George Thyphronitis, 2015, IEEE Journal of Biomedical and Health Informatics.

Integration of Pathway Knowledge and Dynamic Bayesian Networks for the Prediction of Oral Cancer Recurrence

Dimitrios I. Fotiadis, Konstantina Kourou, Costas Papaloukas, 2017, IEEE Journal of Biomedical and Health Informatics.

Bayesian Algorithm Implementation in a Real Time Exposure Assessment Model on Benzene with Calculation of Associated Cancer Risks

Spyros P. Karakitsios, Dimosthenis A. Sarigiannis, Alberto Gotti, 2009, Sensors.

Estimation of daily traffic emissions in a South-European urban agglomeration during a workday. Evaluation of several "what if" scenarios.

Costas Papaloukas, Spyros Karakitsios, Pavlos Kassomenos, 2006, The Science of the total environment.

Assessment and prediction of benzene concentrations in a street canyon using artificial neural networks and deterministic models: Their response to “what if” scenarios

P. Kassomenos, S. Karakitsios, G. Pilidis, 2006 .

A two-stage method for MUAP classification based on EMG decomposition

Christos D. Katsis, Yorgos Goletsis, Dimitrios I. Fotiadis, 2007, Comput. Biol. Medicine.

Extraction of consensus protein patterns in regions containing non-proline cis peptide bonds and their functional assessment

Dimitrios I. Fotiadis, Costas Papaloukas, Themis P. Exarchos, 2011, BMC Bioinformatics.

Next-generation sequencing-based testing for cancer mutational landscape diversity: clinical implications?

M. Tzaphlidou, D. Roukos, C. Papaloukas, 2012, Expert review of molecular diagnostics.

INTEGRATING GENETIC AND CLINICAL DATA INTO A DECISION SUPPORT SYSTEM FOR COLON CANCER DIAGNOSIS

D. Fotiadis, T. Exarchos, Y. Goletsis, 2007 .

Novel Wnt signaling and other pathway inhibitors in the colorectal cancer genomic landscape era.

D. Roukos, D. Ziogas, C. Papaloukas, 2012, Future oncology.

Bankruptcy Prediction through Artificial Intelligence

Yorgos Goletsis, Costas Papaloukas, C. D. Katsis, 2009 .

Prediction of oral cancer recurrence using dynamic Bayesian networks

Dimitrios I. Fotiadis, Konstantina Kourou, Costas Papaloukas, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A robust knowledge-based technique for ischemia detection in noisy ECGs

A. Likas, C. Papaloukas, D.I. Fotiadis, 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).

An ischemia detection method based on artificial neural networks

Dimitrios I. Fotiadis, Lampros K. Michalis, Aristidis Likas, 2002, Artif. Intell. Medicine.

Gene-based pathway enrichment analysis of oral squamous cell carcinoma patients

Dimitrios I. Fotiadis, Konstantina Kourou, Costas Papaloukas, 2016, 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).