World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
13882
World Ranking
4502
National Ranking
2105

Overview

George Bebis is a researcher affiliated with the University of Nevada Reno in the United States, whose work spans interdisciplinary fields involving computer science and medicine. Bebis's research contributions focus notably on applications of artificial intelligence in medical imaging, cancer detection, and remote sensing.

Their main fields of study include:

  • Computer Science
  • Medicine

Within these broad areas, Bebis has contributed extensively to several subfields such as:

  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Molecular Biology
  • Environmental Engineering

Bebis's work covers a variety of specialized topics, with a strong focus on:

  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging
  • Gene expression and cancer classification
  • Remote Sensing and LiDAR Applications
  • Advanced Neural Network Applications
  • Mathematical Biology Tumor Growth
  • COVID-19 diagnosis using AI

Notable recent papers authored or coauthored by Bebis include:

  • A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation, 2024, Machine Vision and Applications
  • Cross-Sensor Fingerprint Matching Using Siamese Network and Adversarial Learning, 2021, Sensors
  • A Novel Method for Cancer Subtyping and Risk Prediction Using Consensus Factor Analysis, 2020, Frontiers in Oncology
  • Deep Learning Approach to Improve Spatial Resolution of GOES-17 Wildfire Boundaries Using VIIRS Satellite Data, 2024, Remote Sensing
  • Image Forgery Detection Using Noise and Edge Weighted Local Texture Features, 2022, Advances in Electrical and Computer Engineering

Bebis frequently publishes in prominent venues such as:

  • arXiv (Cornell University)
  • Machine Vision and Applications
  • Sensors
  • Frontiers in Oncology
  • Journal of Imaging

Collaborations play a role in Bebis's research output, with frequent coauthors including:

  • Alireza Tavakkoli
  • Parvaneh Aliniya
  • Mircea Nicolescu
  • Monica Nicolescu
  • Prithul Sarker

Their scholarly contributions also extend to book publications, having authored multiple titles for Springer Science+Business Media. These include works published between 2020 and 2022 such as "Advances in Visual Computing" and "Mathematical and Computational Oncology," which reflect interdisciplinary interests bridging computational methods and oncological research.

Best Publications

  • On-road vehicle detection: a review

    Zehang Sun;G. Bebis;R. Miller

  • Vision-based hand pose estimation: A review

    Ali Erol;George Bebis;Mircea Nicolescu;Richard D. Boyle

  • Feed-forward neural networks

    G. Bebis;M. Georgiopoulos

  • Monocular precrash vehicle detection: features and classifiers

    Zehang Sun;G. Bebis;R. Miller

  • Object detection using feature subset selection

    Zehang Sun;George Bebis;Ronald Miller

  • On-road vehicle detection using Gabor filters and support vector machines

    Zehang Sun;G. Bebis;R. Miller

  • On-road vehicle detection using evolutionary Gabor filter optimization

    Zehang Sun;G. Bebis;R. Miller

  • Passive copy move image forgery detection using undecimated dyadic wavelet transform

    Ghulam Muhammad;Muhammad Hussain;George Bebis

  • Review: A survey of network flow applications

    Bingdong Li;Jeff Springer;George Bebis;Mehmet Hadi Gunes

  • Fingerprint identification using Delaunay triangulation

    G. Bebis;T. Deaconu;M. Georgiopoulos

  • On-road vehicle detection using optical sensors: a review

    Z. Sun;G. Bebis;R. Miller

  • Genetic feature subset selection for gender classification: a comparison study

    Zehang Sun;G. Bebis;Xiaojing Yuan;S.J. Louis

  • Face recognition by fusing thermal infrared and visible imagery

    George Bebis;Aglika Gyaourova;Saurabh Singh;Ioannis T. Pavlidis

  • Face recognition experiments with random projection

    Navin Goel;George Bebis;Ara Nefian

  • Understanding human intentions via hidden markov models in autonomous mobile robots

    Richard Kelley;Alireza Tavakkoli;Christopher King;Monica Nicolescu

  • Image forgery detection using steerable pyramid transform and local binary pattern

    Ghulam Muhammad;Munner H. Al-Hammadi;Muhammad Hussain;George Bebis

  • A real-time precrash vehicle detection system

    Zehang Sun;R. Miller;G. Bebis;D. DiMeo

  • Infrared and visible image fusion for face recognition

    Saurabh Singh;Aglika Gyaourova;George Bebis;Ioannis Pavlidis

  • Face Detection in the Near-IR Spectrum

    Jonathan Dowdall;Ioannis T. Pavlidis;George Bebis

  • Vehicle detection from aerial imagery

    Joshua Gleason;Ara V. Nefian;Xavier Bouyssounousse;Terry Fong

Frequent Co-Authors

Ghulam Muhammad
Ghulam Muhammad King Saud University
Ronald Hugh Miller
Ronald Hugh Miller Ford Motor Company (United States)
Mubarak Shah
Mubarak Shah University of Central Florida
Paolo Remagnino
Paolo Remagnino Durham University
Nikolaos G. Bourbakis
Nikolaos G. Bourbakis Wright State University
Michael A. Webster
Michael A. Webster University of Nevada Reno
Ioannis Pavlidis
Ioannis Pavlidis University of Houston
Fatih Porikli
Fatih Porikli Australian National University
Holger Theisel
Holger Theisel Otto-von-Guericke University Magdeburg
Nicholas Lancaster
Nicholas Lancaster Desert Research Institute

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