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Konstantinos N. Plataniotis

Konstantinos N. Plataniotis

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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
88
Citations
30232
World Ranking
684
National Ranking
24

Electronics and Electrical Engineering

D-Index
79
Citations
25798
World Ranking
555
National Ranking
36

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • 2012 - IEEE Fellow For contributions to the theory and application of statistical adaptive learning

Overview

Konstantinos N. Plataniotis is affiliated with the University of Toronto in Canada. Their research primarily spans the field of Computer Science, with a strong focus on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, and Computer Networks and Communications.

The scientist's work covers a range of topics including Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, COVID-19 diagnosis using AI, Advanced Neural Network Applications, Lung Cancer Diagnosis and Treatment, Reinforcement Learning in Robotics, and Bluetooth and Wireless Communication Technologies.

Recent notable papers illustrate the diversity and application of their research. These include:

  • Deep learning and machine vision for food processing: A survey, 2021, Current Research in Food Science
  • COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning, 2021, Scientific Data
  • Improving BLE Beacon Proximity Estimation Accuracy Through Bayesian Filtering, 2020, IEEE Internet of Things Journal
  • Federated Learning and Blockchain-Enabled Fog-IoT Platform for Wearables in Predictive Healthcare, 2023, IEEE Transactions on Computational Social Systems
  • BayesCap: A Bayesian Approach to Brain Tumor Classification Using Capsule Networks, 2020, IEEE Signal Processing Letters

Konstantinos N. Plataniotis has frequently published in several venues, with the highest number of publications appearing in:

  • arXiv (Cornell University) with 84 publications
  • IEEE Signal Processing Magazine with 11 publications
  • IEEE Internet of Things Journal with 10 publications
  • IEEE Access with 10 publications
  • IEEE Systems Journal with 6 publications

The scientist has collaborated extensively with various researchers. Frequent co-authors include:

  • Arash Mohammadi (56 joint publications)
  • Jamshid Abouei (35 joint publications)
  • Mahdi S. Hosseini (25 joint publications)
  • Petros Spachos (24 joint publications)
  • Parnian Afshar (24 joint publications)

In recognition of their contributions, Konstantinos N. Plataniotis was awarded the IEEE Fellow distinction in 2012, specifically for contributions to the theory and application of statistical adaptive learning.

Best Publications

  • Color Image Processing and Applications

    Konstantinos N. Plataniotis;Anastasios N. Venetsanopoulos

  • Face recognition using LDA-based algorithms

    Juwei Lu;K.N. Plataniotis;A.N. Venetsanopoulos

  • MPCA: Multilinear Principal Component Analysis of Tensor Objects

    Haiping Lu;K.N. Plataniotis;A.N. Venetsanopoulos

  • Face recognition using kernel direct discriminant analysis algorithms

    Juwei Lu;K.N. Plataniotis;A.N. Venetsanopoulos

  • COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images.

    Parnian Afshar;Shahin Heidarian;Farnoosh Naderkhani;Anastasia Oikonomou

  • Kernel-Based Positioning in Wireless Local Area Networks

    A. Kushki;K.N. Plataniotis;A.N. Venetsanopoulos

  • Gait recognition: a challenging signal processing technology for biometric identification

    N.V. Boulgouris;D. Hatzinakos;K.N. Plataniotis

  • Brain Tumor Type Classification via Capsule Networks

    Parnian Afshar;Arash Mohammadi;Konstantinos N. Plataniotis

  • A survey of multilinear subspace learning for tensor data

    Haiping Lu;Konstantinos N. Plataniotis;Anastasios N. Venetsanopoulos

  • Vector filtering for color imaging

    R. Lukac;B. Smolka;K. Martin;K.N. Plataniotis

  • Analysis of human electrocardiogram for biometric recognition

    Yongjin Wang;Foteini Agrafioti;Dimitrios Hatzinakos;Konstantinos N. Plataniotis

  • Regularization studies of linear discriminant analysis in small sample size scenarios with application to face recognition

    Juwei Lu;K. N. Plataniotis;A. N. Venetsanopoulos

  • Capsule Networks for Brain Tumor Classification Based on MRI Images and Coarse Tumor Boundaries

    Parnian Afshar;Konstantinos N. Plataniotis;Arash Mohammadi

  • Color filter arrays: design and performance analysis

    R. Lukac;K.N. Plataniotis

  • Regularized Common Spatial Pattern With Aggregation for EEG Classification in Small-Sample Setting

    Haiping Lu;How-Lung Eng;Cuntai Guan;Konstantinos N Plataniotis

  • ECG Biometric Recognition Without Fiducial Detection

    K.N. Plataniotis;D. Hatzinakos;J.K.M. Lee

  • Deep learning and machine vision for food processing: A survey.

    Lili Zhu;Petros Spachos;Erica Pensini;Konstantinos N. Plataniotis

  • From Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges and Opportunities.

    Parnian Afshar;Arash Mohammadi;Konstantinos N. Plataniotis;Anastasia Oikonomou

  • From Handcrafted to Deep-Learning-Based Cancer Radiomics: Challenges and opportunities

    Parnian Afshar;Arash Mohammadi;Konstantinos N. Plataniotis;Anastasia Oikonomou

  • Rapid and brief communication: Bit-level based secret sharing for image encryption

    Rastislav Lukac;Konstantinos N. Plataniotis

  • Color Image Processing : Methods and Applications

    Rastislav Lukac;Konstantinos N. Plataniotis

  • Ensemble-based discriminant learning with boosting for face recognition

    J. Lu;K.N. Plataniotis;A.N. Venetsanopoulos;S.Z. Li

Frequent Co-Authors

Anastasios N. Venetsanopoulos
Anastasios N. Venetsanopoulos Toronto Metropolitan University
Subbarayan Pasupathy
Subbarayan Pasupathy University of Toronto
Yong Man Ro
Yong Man Ro Korea Advanced Institute of Science and Technology
Dimitrios Hatzinakos
Dimitrios Hatzinakos University of Toronto
Jae-Young Choi
Jae-Young Choi Sungkyunkwan University
Vincenzo Piuri
Vincenzo Piuri University of Milan
Yingxu Wang
Yingxu Wang University of Calgary
Sam Kwong
Sam Kwong Lingnan University
Carlo S. Regazzoni
Carlo S. Regazzoni University of Genoa
Jon Yngve Hardeberg
Jon Yngve Hardeberg Norwegian University of Science and Technology

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