World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
9746
World Ranking
5882
National Ranking
34

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to bioelectromagnetics and implantable antennas for medical applications
  • 2016 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Konstantina S. Nikita is affiliated with the National Technical University of Athens in Greece. Their research spans multiple fields, primarily focusing on Medicine with a significant intersection with Electrical and Electronic Engineering, and Artificial Intelligence.

The scientist has published extensively in subfields including Radiology, Nuclear Medicine and Imaging, Aerospace Engineering, and Pulmonary and Respiratory Medicine. Their research work covers a range of topics such as Antenna Design and Analysis, Machine Learning in Healthcare, Cardiovascular Health and Disease Prevention, Cerebrovascular and Carotid Artery Diseases, Advanced MIMO Systems Optimization, Mobile Health and mHealth Applications, and Radiomics and Machine Learning in Medical Imaging.

Frequent publication venues include:

  • IEEE Transactions on Antennas and Propagation
  • IEEE Open Journal of Antennas and Propagation
  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Antennas and Propagation Magazine

Konstantina S. Nikita has collaborated frequently with several co-authors, including:

  • Μαρία Αθανασίου
  • Asimina Kiourti
  • Konstantia Zarkogianni
  • Cynthia Furse
  • Marco Salucci

The scientist has contributed to numerous publications, with recent papers including:

  • AI in Medical Imaging Informatics: Current Challenges and Future Directions (2020) published in IEEE Journal of Biomedical and Health Informatics
  • Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review (2021) published in Computational and Structural Biotechnology Journal
  • Artificial Intelligence and Machine Learning for Improving Glycemic Control in Diabetes: Best Practices, Pitfalls, and Opportunities (2023) published in IEEE Reviews in Biomedical Engineering
  • Applications of generative adversarial networks in neuroimaging and clinical neuroscience (2023) published in NeuroImage
  • Next-Generation Healthcare: Enabling Technologies for Emerging Bioelectromagnetics Applications (2022) published in IEEE Open Journal of Antennas and Propagation

Their work has been recognized with awards such as:

  • IEEE Fellow in 2018 for contributions to bioelectromagnetics and implantable antennas for medical applications
  • Fellow of the Indian National Academy of Engineering (INAE) in 2016

Best Publications

  • AI in Medical Imaging Informatics: Current Challenges and Future Directions

    Andreas S. Panayides;Amir Amini;Nenad D. Filipovic;Ashish Sharma

  • A Review of Implantable Patch Antennas for Biomedical Telemetry: Challenges and Solutions [Wireless Corner]

    A. Kiourti;K. S. Nikita

  • Miniature Scalp-Implantable Antennas for Telemetry in the MICS and ISM Bands: Design, Safety Considerations and Link Budget Analysis

    A. Kiourti;K. S. Nikita

  • A computer-aided diagnostic system to characterize CT focal liver lesions: design and optimization of a neural network classifier

    M. Gletsos;S.G. Mougiakakou;G.K. Matsopoulos;K.S. Nikita

  • Automatic retinal image registration scheme using global optimization techniques

    G.K. Matsopoulos;N.A. Mouravliansky;K.K. Delibasis;K.S. Nikita

  • A Review of In-Body Biotelemetry Devices: Implantables, Ingestibles, and Injectables

    Asimina Kiourti;Konstantina S. Nikita

  • Implantable and ingestible medical devices with wireless telemetry functionalities: a review of current status and challenges.

    Asimina Kiourti;Konstantinos A. Psathas;Konstantina S. Nikita

  • Using the Hough transform to segment ultrasound images of longitudinal and transverse sections of the carotid artery.

    Spyretta Golemati;John Stoitsis;Emmanouil G. Sifakis;Thomas Balkizas

  • Computer aided diagnosis based on medical image processing and artificial intelligence methods

    John Stoitsis;Ioannis Valavanis;Stavroula G. Mougiakakou;Spyretta Golemati

  • A four-dimensional simulation model of tumour response to radiotherapy in vivo: parametric validation considering radiosensitivity, genetic profile and fractionation.

    Dimitra D. Dionysiou;Georgios S. Stamatakos;Nikolaos K. Uzunoglu;Konstantina S. Nikita

  • Differential diagnosis of CT focal liver lesions using texture features, feature selection and ensemble driven classifiers

    Stavroula G. Mougiakakou;Ioannis K. Valavanis;Alexandra Nikita;Konstantina S. Nikita

  • Comparison of fractal dimension estimation algorithms for epileptic seizure onset detection.

    G E Polychronaki;P Y Ktonas;S Gatzonis;A Siatouni

  • SMARTDIAB: A Communication and Information Technology Approach for the Intelligent Monitoring, Management and Follow-up of Type 1 Diabetes Patients

    Stavroula G Mougiakakou;Christos S Bartsocas;Evangelos Bozas;Nikos Chaniotakis

  • A Review of Emerging Technologies for the Management of Diabetes Mellitus

    Konstantia Zarkogianni;Eleni Litsa;Konstantinos Mitsis;Po-Yen Wu

  • Comparative assessment of glucose prediction models for patients with type 1 diabetes mellitus applying sensors for glucose and physical activity monitoring

    K. Zarkogianni;K. Mitsis;E. Litsa;M.-T. Arredondo

  • Computer-aided diagnosis of carotid atherosclerosis based on ultrasound image statistics, laws' texture and neural networks

    Stavroula G R Mougiakakou;Spyretta Golemati;Ioannis Gousias;Andrew N Nicolaides

  • Performance of a novel miniature antenna implanted in the human head for wireless biotelemetry

    Asimina Kiourti;Maria Christopoulou;Konstantina S. Nikita

  • Comparison of Multiresolution Features for Texture Classification of Carotid Atherosclerosis From B-Mode Ultrasound

    N Tsiaparas;S Golemati;I Andreadis;J S Stoitsis

  • Miniature Implantable Antennas for Biomedical Telemetry: From Simulation to Realization

    A. Kiourti;J. R. Costa;C. A. Fernandes;A. G. Santiago

  • A novel and efficient implementation of the marching cubes algorithm.

    K.S Delibasis;G.K Matsopoulos;N.A Mouravliansky;K.S Nikita

  • Comparison of fractal dimension estimation algorithms for epileptic seizure onset detection

    G.E. Polychronaki;P. Ktonas;S. Gatzonis;P.A. Asvestas

Frequent Co-Authors

Asimina Kiourti
Asimina Kiourti The Ohio State University
Stavroula G. Mougiakakou
Stavroula G. Mougiakakou University of Bern
Dimitrios I. Fotiadis
Dimitrios I. Fotiadis University of Ioannina
Olivier David
Olivier David Grenoble Alpes University
Stephan Chabardes
Stephan Chabardes Grenoble Alpes University
Wuqiang Yang
Wuqiang Yang University of Manchester
James C. Lin
James C. Lin University of Illinois at Chicago
Jorge R. Costa
Jorge R. Costa ISCTE - University Institute of Lisbon
Carlos A. Fernandes
Carlos A. Fernandes Instituto Superior Técnico
Metin Akay
Metin Akay University of Houston

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