George K. Matsopoulos

National Technical University of Athens

Greece

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Articles (30)

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Collaborators (18)

Dimitrios Fotiadis

University of Ioannina

GREECE

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Evangelos Hristoforou

Professor, Director of the Laboratory of Electronic Sensors

National Technical University of Athens

GREECE

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George Lambrou

Laboratory Teaching Faculty, Researcher

National and Kapodistrian University of Athens

GREECE

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Vassilis Kouloulias

National and Kapodistrian University of Athens

GREECE

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Winfried Schlee

Eastern Switzerland University of Applied Sciences

SWITZERLAND

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Penelope Ioannidou

National Technical University of Athens

GREECE

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GEORGE TSAKOTOS

National and Kapodistrian University of Athens

GREECE

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Kalliopi Platoni

GREECE

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Pantelis Asvestas

University of West Attica

GREECE

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Nikos Tsiknakis

Karolinska Institutet

SWEDEN

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ioannis Kakkos

National Technical University of Athens

GREECE

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Dimitris Koutsouris

Professor

National Technical University of Athens

GREECE

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Manolis Tsiknakis

Professor

Hellenic Mediterranean University

GREECE

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Athanasios Anastasiou

National Technical University of Athens

GREECE

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Georgios Papagiannis

Assistant Professor

Panepistemio Peloponnesou

GREECE

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Athanasios D. Panagopoulos

National Technical University of Athens

GREECE

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Birgit Mazurek

GERMANY

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Athanasios Triantafyllou

Assistant Proffessor (Under appointment)

UNIVERSITY OF PELOPONNESE

GREECE

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George K. Matsopoulos

Research Interests

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Articles (30)

Simplatab: An Automated Machine Learning Framework for Radiomics-Based Bi-Parametric MRI Detection of Clinically Significant Prostate Cancer

HEalthcare Robotics’ ONtology (HERON): An Upper Ontology for Communication, Collaboration and Safety in Healthcare Robotics

Advances in Computational Modeling of Scaffolds for Bone Tissue Engineering: A Narrative Review of the Current Approaches and Challenges

Morphology and morphometry of the vertebrobasilar system intracranial segment: a computed tomography angiography study

Unsupervised Domain Adaptation for Automatic Polyp Segmentation Using Synthetic Data

Representation Learning in PET Scans Enhanced by Semantic and 3D Position Specific Characteristics

FBCPM: A Filter Bank Connectome-Based Predictive Modeling Framework for EEG Signals

Assessing Sternal Dimensions for Sex Classification: Insights from a Greek Computed Tomography-Based Study

EEG-Based Assessment of Cognitive Resilience via Interpretable Machine Learning Models

Comparative Analysis of Deep Neural Networks for Automated Ulcerative Colitis Severity Assessment

A Multidimensional Framework Incorporating 2D U-Net and 3D Attention U-Net for the Segmentation of Organs from 3D Fluorodeoxyglucose-Positron Emission Tomography Images

Multi-Graph Assessment of Temporal and Extratemporal Lobe Epilepsy in Resting-State fMRI

Individual Variability in Brain Connectivity Patterns and Driving-Fatigue Dynamics

Towards Automation in Radiotherapy Planning: A Deep Learning Approach for the Delineation of Parotid Glands in Head and Neck Cancer

A Combined Computational and Experimental Analysis of PLA and PCL Hybrid Nanocomposites 3D Printed Scaffolds for Bone Regeneration

A Review of ARIMA vs. Machine Learning Approaches for Time Series Forecasting in Data Driven Networks

Automated Multimodal Stress Detection in Computer Office Workspace

An Automated Prognostic Model for Pancreatic Ductal Adenocarcinoma

Development of Machine-Learning Models for Tinnitus-Related Distress Classification Using Wavelet-Transformed Auditory Evoked Potential Signals and Clinical Data

Unraveling Imaginary and Real Motion: A Correlation Indices Study in BCI Data

Detecting Skin Reactions in Epicutaneous Patch Testing with Deep Learning: An Evaluation of Pre-Processing and Modality Performance

Deep Learning Approaches to Osteosarcoma Diagnosis and Classification: A Comparative Methodological Approach

Rehabotics: A Comprehensive Rehabilitation Platform for Post-Stroke Spasticity, Incorporating a Soft Glove, a Robotic Exoskeleton Hand and Augmented Reality Serious Games

Time-Dependent Adaptations of Brain Networks in Driving Fatigue

Bimodal Active Shape Models for Cervical Vertebrae and Spinal Canal Boundary Extraction

Individualized Prediction of Task Performance Decline Using Pre-Task Resting-State Functional Connectivity

Early Prediction of Planning Adaptation Requirement Indication Due to Volumetric Alterations in Head and Neck Cancer Radiotherapy: A Machine Learning Approach

A Multisensor System Embedded in a Computer Mouse for Occupational Stress Detection

Development and Evaluation of Automated Tools for Auditory-Brainstem and Middle-Auditory Evoked Potentials Waves Detection and Annotation

Exploring the Utility of Anonymized EHR Datasets in Machine Learning Experiments in the Context of the MODELHealth Project

Collaborators (18)

Dimitrios Fotiadis

Evangelos Hristoforou

George Lambrou

Vassilis Kouloulias

Winfried Schlee

Penelope Ioannidou

GEORGE TSAKOTOS

Kalliopi Platoni

Pantelis Asvestas

Nikos Tsiknakis

ioannis Kakkos

Dimitris Koutsouris

Manolis Tsiknakis

Athanasios Anastasiou

Georgios Papagiannis

Athanasios D. Panagopoulos

Birgit Mazurek

Athanasios Triantafyllou

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