World's Best Scientists 2026 revealed!
Nikos Paragios

Nikos Paragios

Award Badge
Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
78
Citations
31488
World Ranking
1174
National Ranking
13

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award
  • 2011 - IEEE Fellow For contributions to continuous and discrete inference in computer vision

Overview

Nikos Paragios was affiliated with CentraleSupélec in France and contributed extensively to the fields of Medicine and Computer Science. Their research primarily spanned Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Radiation, Artificial Intelligence, and Biomedical Engineering.

The scientist's main research topics included Radiomics and Machine Learning in Medical Imaging, Advanced Radiotherapy Techniques, Medical Imaging Techniques and Applications, AI in cancer detection, COVID-19 diagnosis using AI, Medical Image Segmentation Techniques, and Medical Imaging and Analysis.

They published frequently in the following venues:

  • Radiotherapy and Oncology
  • arXiv (Cornell University)
  • Lecture notes in computer science
  • International Journal of Radiation Oncology*Biology*Physics
  • Neurology

Co-authors who collaborated often with Paragios included:

  • Éric Deutsch
  • Maria Vakalopoulou
  • Marvin Lerousseau
  • Enzo Battistella
  • Alexandre Carré

Several recent papers from 2020 highlight the areas of Paragios's research:

  • Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics, 2020, Scientific Reports
  • AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia, 2020, Medical Image Analysis
  • Radiomics to predict outcomes and abscopal response of patients with cancer treated with immunotherapy combined with radiotherapy using a validated signature of CD8 cells, 2020, Journal for ImmunoTherapy of Cancer
  • Deep Learning-based Approach for Automated Assessment of Interstitial Lung Disease in Systemic Sclerosis on CT Images, 2020, Radiology Artificial Intelligence
  • Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation, 2020, Frontiers in Computational Neuroscience

Paragios was recognized as an IEEE Fellow in 2011 for contributions to continuous and discrete inference in computer vision.

Best Publications

  • Deformable Medical Image Registration: A Survey

    A. Sotiras;C. Davatzikos;N. Paragios

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • Geodesic active contours and level sets for the detection and tracking of moving objects

    N. Paragios;R. Deriche

  • "Geometric Level Set Methods in Imaging, Vision, and Graphics"

    Stanley Osher;Nikos Paragios

  • A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study

    Roger Sun;Roger Sun;Elaine Johanna Limkin;Elaine Johanna Limkin;Maria Vakalopoulou;Maria Vakalopoulou;Laurent Dercle;Laurent Dercle

  • Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation

    Nikos Paragios;Rachid Deriche

  • Motion-based background subtraction using adaptive kernel density estimation

    A. Mittal;N. Paragios

  • Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology.

    Elaine Limkin;Roger Sun;Roger Sun;Laurent Dercle;Evangelia Zacharaki

  • Shape Priors for Level Set Representations

    Mikael Rousson;Nikos Paragios

  • Background modeling and subtraction of dynamic scenes

    Monnet;Mittal;Paragios;Visvanathan Ramesh

  • Dense image registration through MRFs and efficient linear programming.

    Ben Glocker;Nikos Komodakis;Nikos Komodakis;Georgios Tziritas;Nassir Navab

  • Handbook of Mathematical Models in Computer Vision

    Nikos Paragios;Yunmei Chen;Olivier D. Faugeras

  • Data fusion through cross-modality metric learning using similarity-sensitive hashing

    Michael M. Bronstein;Alexander M. Bronstein;Fabrice Michel;Nikos Paragios

  • Geodesic Active Regions

    Nikos Paragios;Rachid Deriche

  • Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

    K. Murphy;B. van Ginneken;J. M. Reinhardt;S. Kabus

  • DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting

    Yangming Ou;Aristeidis Sotiras;Aristeidis Sotiras;Nikos Paragios;Nikos Paragios;Christos Davatzikos

  • A level set approach for shape-driven segmentation and tracking of the left ventricle

    N. Paragios

  • Gradient vector flow fast geodesic active contours

    N. Paragios;O. Mellina-Gottardo;V. Ramesh

  • MRF Energy Minimization and Beyond via Dual Decomposition

    N Komodakis;N Paragios;G Tziritas

  • Gradient vector flow fast geometric active contours

    N. Paragios;O. Mellina-Gottardo;V. Ramesh

Frequent Co-Authors

Nikos Komodakis
Nikos Komodakis University of Crete
Ben Glocker
Ben Glocker Imperial College London
Nassir Navab
Nassir Navab Technical University of Munich
Georg Langs
Georg Langs Medical University of Vienna
Dimitris Samaras
Dimitris Samaras Stony Brook University
Georgios Tziritas
Georgios Tziritas University of Crete
Samuel Kadoury
Samuel Kadoury Polytechnique Montréal
Iasonas Kokkinos
Iasonas Kokkinos University College London
Rachid Deriche
Rachid Deriche French Institute for Research in Computer Science and Automation - INRIA
Jean-Philippe Thiran
Jean-Philippe Thiran École Polytechnique Fédérale de Lausanne

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