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Dimitris K. Iakovidis

Dimitris K. Iakovidis

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
5221
World Ranking
8424
National Ranking
66

Overview

Dimitris K. Iakovidis is affiliated with the University Of Thessaly in Greece. Their research spans multiple domains primarily within computer science, engineering, and medicine. Over the course of their academic career, they have concentrated on artificial intelligence, computer vision, and biomedical engineering, reflecting a multidisciplinary approach to science and technology.

The main fields of study in which Dimitris K. Iakovidis has published include:

  • Computer Science
  • Engineering
  • Medicine

Their work delves into several subfields, notably:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Gastroenterology
  • Oncology

Focused research topics cover a wide range of areas, including:

  • Gastrointestinal Bleeding Diagnosis and Treatment
  • Cognitive Science and Mapping
  • Cognitive Computing and Networks
  • Colorectal Cancer Screening and Detection
  • Metaheuristic Optimization Algorithms Research
  • Tactile and Sensory Interactions
  • Non-Invasive Vital Sign Monitoring

Their recent papers demonstrate engagement with both clinical applications and computational methods. Selected publications include:

  • "Artificial Intelligence in Cardiology-A Narrative Review of Current Status" (2022, Journal of Clinical Medicine)
  • "Artificial intelligence in small bowel capsule endoscopy - current status, challenges and future promise" (2021, Journal of Gastroenterology and Hepatology)
  • "A swarm intelligence graph-based pathfinding algorithm (SIGPA) for multi-objective route planning" (2021, Computers & Operations Research)
  • "User-centered system design for assisted navigation of visually impaired individuals in outdoor cultural environments" (2020, Universal Access in the Information Society)
  • "Uncertainty-Aware Visual Perception System for Outdoor Navigation of the Visually Challenged" (2020, Sensors)

Dimitris K. Iakovidis collaborates frequently with several researchers, including:

  • George Dimas
  • Georgia Sovatzidi
  • Panagiotis G. Kalozoumis
  • Michael D. Vasilakakis
  • Anastasios Koulaouzidis

Their publications have been concentrated in key scientific venues such as:

  • arXiv (Cornell University)
  • Measurement Science and Technology
  • IEEE Access
  • Studies in health technology and informatics
  • Sensors

Best Publications

  • Computer-aided tumor detection in endoscopic video using color wavelet features

    S.A. Karkanis;D.K. Iakovidis;D.E. Maroulis;D.A. Karras

  • Intuitionistic Fuzzy Cognitive Maps for Medical Decision Making

    D K Iakovidis;E Papageorgiou

  • Software for enhanced video capsule endoscopy: challenges for essential progress

    Dimitris K. Iakovidis;Anastasios Koulaouzidis

  • Fuzzy Local Binary Patterns for Ultrasound Texture Characterization

    Dimitris K. Iakovidis;Eystratios G. Keramidas;Dimitris Maroulis

  • Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification

    Dimitris K. Iakovidis;Spiros V. Georgakopoulos;Michael Vasilakakis;Anastasios Koulaouzidis

  • Intuitionistic Fuzzy Cognitive Maps

    E. I. Papageorgiou;D. K. Iakovidis

  • KID Project: an internet-based digital video atlas of capsule endoscopy for research purposes

    Anastasios Koulaouzidis;Dimitris K Iakovidis;Diana E Yung;Emanuele Rondonotti

  • Use of Hyperspectral/Multispectral Imaging in Gastroenterology. Shedding Some⁻Different⁻Light into the Dark.

    Samuel Ortega;Himar Fabelo;Dimitris K. Iakovidis;Anastasios Koulaouzidis

  • Wireless endoscopy in 2020: Will it still be a capsule?

    Anastasios Koulaouzidis;Dimitris K Iakovidis;Alexandros Karargyris;Emanuele Rondonotti

  • Automatic lesion detection in capsule endoscopy based on color saliency: closer to an essential adjunct for reviewing software

    Dimitris K. Iakovidis;Anastasios Koulaouzidis

  • Variable Background Active Contour Model for Computer-Aided Delineation of Nodules in Thyroid Ultrasound Images

    D.E. Maroulis;M.A. Savelonas;D.K. Iakovidis;S.A. Karkanis

  • A Pattern Similarity Scheme for Medical Image Retrieval

    D.K. Iakovidis;N. Pelekis;E.E. Kotsifakos;I. Kopanakis

  • A comparative study of texture features for the discrimination of gastric polyps in endoscopic video

    D.K. Iakovidis;D.E. Maroulis;S.A. Karkanis;A. Brokos

  • Fusion of fuzzy statistical distributions for classification of thyroid ultrasound patterns

    Dimitris K. Iakovidis;Eystratios G. Keramidas;Dimitris Maroulis

  • TND: A Thyroid Nodule Detection System for Analysis of Ultrasound Images and Videos

    Eystratios G. Keramidas;Dimitris Maroulis;Dimitris K. Iakovidis

  • Optimizing lesion detection in small-bowel capsule endoscopy: from present problems to future solutions

    Anastasios Koulaouzidis;Dimitris K Iakovidis;Alexandros Karargyris;John N Plevris

  • Video-based measurements for wireless capsule endoscope tracking

    Evaggelos Spyrou;Dimitris K Iakovidis

  • Fuzzy clustering of intuitionistic fuzzy data

    Nikos Pelekis;Dimitris K. Iakovidis;Evangelos E. Kotsifakos;Ioannis Kopanakis

  • Intuitionistic Fuzzy Clustering with Applications in Computer Vision

    Dimitris K. Iakovidis;Nikos Pelekis;Evangelos Kotsifakos;Ioannis Kopanakis

  • Artificial intelligence in small bowel capsule endoscopy - current status, challenges and future promise.

    Xavier Dray;Xavier Dray;Dimitris Iakovidis;Charles Houdeville;Rodrigo Jover

  • Thyroid Texture Representation via Noise Resistant Image Features

    E.G. Keramidas;D.K. Iakovidis;D. Maroulis;N. Dimitropoulos

Frequent Co-Authors

Nikos Pelekis
Nikos Pelekis University of Piraeus
Yannis Theodoridis
Yannis Theodoridis University of Piraeus
Elpiniki I. Papageorgiou
Elpiniki I. Papageorgiou University Of Thessaly
Henrik Thorlacius
Henrik Thorlacius Lund University
Silvano Donati
Silvano Donati University of Pavia
Wuqiang Yang
Wuqiang Yang University of Manchester
Christoph Stiller
Christoph Stiller Karlsruhe Institute of Technology
Robert X. Gao
Robert X. Gao Case Western Reserve University
Andreas Uhl
Andreas Uhl University of Salzburg
Francesco Fioranelli
Francesco Fioranelli Delft University of Technology

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