World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
16290
World Ranking
3576
National Ranking
1718

Overview

M. Emre Celebi is affiliated with the University of Central Arkansas in the United States. The primary fields of study for this researcher are Computer Science and Medicine, with significant contributions in subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Oncology, Media Technology, and Biomedical Engineering.

The scientist's work covers a range of main topics including Cutaneous Melanoma Detection and Management, AI in cancer detection, Advanced Image Fusion Techniques, Digital Media Forensic Detection, Advanced Data Compression Techniques, Advanced Image and Video Retrieval Techniques, and Image Retrieval and Classification Techniques.

Recent publications authored or co-authored by M. Emre Celebi include the following:

  • Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects (2021), published in Information Fusion
  • A survey on deep learning for skin lesion segmentation (2023), published in Medical Image Analysis
  • Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology (2021), published in JAMA Dermatology
  • Explainable skin lesion diagnosis using taxonomies (2020), published in Pattern Recognition
  • The incremental online k-means clustering algorithm and its application to color quantization (2022), published in Expert Systems with Applications

M. Emre Celebi frequently collaborates with several co-authors, including Catarina Barata, Marc Combalia, Allan C. Halpern, Philipp Tschandl, and Pourya Shamsolmoali.

The researcher has published multiple papers in recognized venues, with frequent contributions to the IEEE Journal of Biomedical and Health Informatics, Information Fusion, Medical Image Analysis, Journal of Electronic Imaging, and JAMA Dermatology.

In addition to journal articles, M. Emre Celebi has authored a book titled Deep Learning for Security and Privacy Preservation in IoT, published by Springer Vienna in 2021.

Best Publications

  • Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC)

    Noel C. F. Codella;David Gutman;M. Emre Celebi;Brian Helba

  • A comparative study of efficient initialization methods for the k-means clustering algorithm

    M. Emre Celebi;Hassan A. Kingravi;Patricio A. Vela

  • Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

    Noel C. F. Codella;Veronica Rotemberg;Philipp Tschandl;M. Emre Celebi

  • A Methodological Approach to the Classification of Dermoscopy Images

    M. Emre Celebi;Hassan A. Kingravi;Bakhtiyar Uddin;Hitoshi Iyatomi

  • Lesion border detection in dermoscopy images.

    M.Emre Celebi;Hitoshi Iyatomi;Gerald Schaefer;William V. Stoecker

  • Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images

    Michael A. Marchetti;Noel C.F. Codella;Stephen W. Dusza;David A. Gutman

  • Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)

    Noel C. F. Codella;David Gutman;M. Emre Celebi;Brian Helba

  • Border detection in dermoscopy images using statistical region merging.

    M. Emre Celebi;Hassan A. Kingravi;Hitoshi Iyatomi;Y. Alp Aslandogan

  • Unsupervised Learning Algorithms

    M. Emre Celebi;Kemal Aydin

  • An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm

    Hitoshi Iyatomi;Hitoshi Iyatomi;Hiroshi Oka;M.Emre Celebi;Masahiro Hashimoto

  • Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods

    M. Emre Celebi;Quan Wen;Sae Hwang;Hitoshi Iyatomi

  • Improving Dermoscopy Image Classification Using Color Constancy

    Catarina Barata;M. Emre Celebi;Jorge S. Marques

  • Improving the performance of k-means for color quantization

    M. Emre Celebi

  • Anisotropic Mean Shift Based Fuzzy C-Means Segmentation of Dermoscopy Images

    Huiyu Zhou;G. Schaefer;A.H. Sadka;M.E. Celebi

  • Unsupervised border detection in dermoscopy images

    M. Emre Celebi;Y. Alp Aslandogan;William V. Stoecker;Hitoshi Iyatomi

  • Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects

    Shuihua Wang;M. Emre Celebi;Yu-Dong Zhang;Xiang Yu

  • A Survey of Feature Extraction in Dermoscopy Image Analysis of Skin Cancer

    Catarina Barata;M. Emre Celebi;Jorge S. Marques

  • Automatic detection of blue-white veil and related structures in dermoscopy images

    M. Emre Celebi;Hitoshi Iyatomi;William V. Stoecker;Randy H. Moss

  • Border detection in dermoscopy images using hybrid thresholding on optimized color channels.

    Rahil Garnavi;Mohammad Aldeen;M. Emre Celebi;George Varigos

  • Partitional Clustering Algorithms

    M. Emre Celebi

  • Dermoscopy Image Analysis: Overview and Future Directions

    M. Emre Celebi;Noel Codella;Allan Halpern

Frequent Co-Authors

Gerald Schaefer
Gerald Schaefer Loughborough University
William V. Stoecker
William V. Stoecker Missouri University of Science and Technology
Jorge S. Marques
Jorge S. Marques Instituto Superior Técnico
Huiyu Zhou
Huiyu Zhou University of Leicester
Randy Hays Moss
Randy Hays Moss Missouri University of Science and Technology
Ahmed Bouridane
Ahmed Bouridane University of Sharjah
Bartosz Krawczyk
Bartosz Krawczyk Rochester Institute of Technology
Mário A. T. Figueiredo
Mário A. T. Figueiredo Instituto Superior Técnico
Aboul Ella Hassanien
Aboul Ella Hassanien Cairo University
Eric Granger
Eric Granger École de Technologie Supérieure

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education opens multiple pathways for students interested in computer science and related fields. Many learners look for affordable options, and finding the cheapest online university can make higher education more accessible without compromising on quality.

Those aiming for a technology-centric career may also consider earning an engineer degree online to gain specialized engineering skills from anywhere in the world. In addition, professionals seeking to advance into leadership roles can benefit from executive mba online programs, which are designed to fit busy schedules and elevate strategic business knowledge.

For those interested in information management, a master's in library science online cost is worth considering. These options highlight the growing diversity of fields and affordability in online learning, helping students align their studies with their career ambitions in today’s digital world.

Best Scientists Citing M. Emre Celebi

Trending Scientists

Recently Published Articles