Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-05
M
M. Emre Celebi
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
High Impact
Professor and Chair
Also affiliated: Louisiana State University (2007–2015); Georgia Institute of Technology (2014); University of Bridgeport (2007); The University of Texas at Arlington (2004–2008); Missouri University of Science and Technology (2007–2009); Imam Mohammad ibn Saud Islamic University (2024); Louisiana State University in Shreveport (2007–2016)
54 h-index
208 pubs
14,994 cited
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
M. Emre Celebi's research focuses on the application of computational methods, particularly artificial intelligence and machine learning, to medical image analysis, with a significant emphasis on the detection and classification of skin lesions for melanoma diagnosis. His work involves developing and evaluating algorithms for tasks such as lesion border detection and image classification in dermoscopy images. Celebi has contributed to several challenges hosted by the International Skin Imaging Collaboration (ISIC), aimed at advancing automated melanoma detection.
His scholarly output includes over 200 publications, garnering more than 12,000 citations and an h-index of 52, designating him as a highly cited researcher. Celebi leads a research group and maintains an active lab website, indicating ongoing research activities. His collaborations include work with researchers at the University of Central Arkansas, such as Yassine Daadaa and J.P. Maxwell.
Metrics
- h-index: 54
- Publications: 208
- Citations: 14,994
Positions
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Professor and Chair 2016–presentUniversity of Central Arkansas Computer Science ORCID
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Associate Professor 2011–2016Louisiana State University in Shreveport Computer Science ORCID
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Assistant Professor 2007–2011Louisiana State University in Shreveport Computer Science ORCID
Selected Publications
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Incubating Artificial Intelligence (AI) Initiatives and Careers in Dermatology (2026)
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Grey wolf optimization for color quantization (2026)
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Correction to: Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 Workshops (2025)
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An Innovative Attention-based Triplet Deep Hashing Approach to Retrieve Histopathology Images (2024)
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Color quantization using an accelerated Jancey k-means clustering algorithm (2024)
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Quantum Face Recognition With Multigate Quantum Convolutional Neural Network (2024)
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A comparative study of color quantization methods using various image quality assessment indices (2024)
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An ensemble-based deep learning model for detection of mutation causing cutaneous melanoma (2023)
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Automatic Face Recognition System Using Deep Convolutional Mixer Architecture and AdaBoost Classifier (2023)
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A survey on deep learning for skin lesion segmentation (2023)
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cq100: a high-quality image dataset for color quantization research (2023)
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Image analysis in advanced skin imaging technology (2023)
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Forty years of color quantization: a modern, algorithmic survey (2023)
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Guest Editorial Skin Image Analysis in the Age of Deep Learning (2023)
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Guest Editorial Emerging Challenges for Deep Learning (2022)
Collaboration Network
Top Collaborators
Allan C. Halpern
Memorial Sloan Kettering Cancer Center (US)
10 shared publications
- 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
- 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)
- Dermoscopy Image Analysis: Overview and Future Directions
- Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology
- OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis
Showing 5 of 10 shared publications
Catarina Barata
INESC TEC (PT)
9 shared publications
- A Survey of Feature Extraction in Dermoscopy Image Analysis of Skin Cancer
- A survey on deep learning for skin lesion segmentation
- Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology
- Explainable skin lesion diagnosis using taxonomies
- Development of a clinically oriented system for melanoma diagnosis
Showing 5 of 9 shared publications
Noel Codella
IBM (United States) (US)
8 shared publications
- 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
- 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)
- Dermoscopy Image Analysis: Overview and Future Directions
- Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology
- OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis
Showing 5 of 8 shared publications
David A. Gutman
Emory University (US)
5 shared publications
- 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
- 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)
- Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology
- Artificial Intelligence Approach in Melanoma
- Artificial Intelligence Approach in Melanoma
Jorge S. Marques
Instituto Superior Técnico (PT)
5 shared publications
- A Survey of Feature Extraction in Dermoscopy Image Analysis of Skin Cancer
- Explainable skin lesion diagnosis using taxonomies
- Development of a clinically oriented system for melanoma diagnosis
- Deep Attention Model for the Hierarchical Diagnosis of Skin Lesions
- Local Features Applied to Dermoscopy Images: Bag-of-Features versus Sparse Coding
Philipp Tschandl
Medical University of Vienna (AT)
5 shared publications
- Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology
- Artificial Intelligence Approach in Melanoma
- Artificial Intelligence Approach in Melanoma
- Guest Editorial Skin Image Analysis in the Age of Deep Learning
- Guest editorial: Image analysis in dermatology
Gerald Schaefer
Loughborough University (GB)
4 shared publications
- Simple and effective pre-processing for automated melanoma discrimination based on cytological findings
- Color Quantization Using Coreset Sampling
- Colour Quantisation using Human Mental Search and Local Refinement
- Effective Colour Reduction Using Grey Wolf Optimisation
Pourya Shamsolmoali
Shanghai Jiao Tong University (CN)
4 shared publications
- Deep learning approaches for real-time image super-resolution
- Image synthesis with adversarial networks: A comprehensive survey and case studies
- Advances in deep learning for real-time image and video reconstruction and processing
- Advances in domain adaptation for computer vision
Ahmed Bouridane
University of Sharjah (AE)
3 shared publications
- Face Recognition in the Scrambled Domain via Salience-Aware Ensembles of Many Kernels
- Quantum Face Recognition With Multigate Quantum Convolutional Neural Network
- Private Facial Prediagnosis as an Edge Service for Parkinson's DBS Treatment Valuation
Danny Crookes
Queen's University Belfast (GB)
3 shared publications
- Face Recognition in the Scrambled Domain via Salience-Aware Ensembles of Many Kernels
- Social Behavioral Phenotyping of Drosophila With a 2D–3D Hybrid CNN Framework
- Private Facial Prediagnosis as an Edge Service for Parkinson's DBS Treatment Valuation
Brian Helba
Kitware (United States) (US)
3 shared publications
- 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
- 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)
- Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology
Nabin K. Mishra
3 shared publications
- 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
- 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)
- Thresholding methods for lesion segmentation of basal cell carcinoma in dermoscopy images
Richard Jiang
Lancaster City Council (GB)
3 shared publications
- Social Behavioral Phenotyping of Drosophila With a 2D–3D Hybrid CNN Framework
- Quantum Face Recognition With Multigate Quantum Convolutional Neural Network
- Private Facial Prediagnosis as an Edge Service for Parkinson's DBS Treatment Valuation
Qaisar Abbas
Imam Mohammad ibn Saud Islamic University (SA)
3 shared publications
- DermoDeep-A classification of melanoma-nevus skin lesions using multi-feature fusion of visual features and deep neural network
- Automatic Face Recognition System Using Deep Convolutional Mixer Architecture and AdaBoost Classifier
- An ensemble-based deep learning model for detection of mutation causing cutaneous melanoma
Ruili Wang
Massey University (NZ)
3 shared publications
- Deep learning approaches for real-time image super-resolution
- Image synthesis with adversarial networks: A comprehensive survey and case studies
- Advances in deep learning for real-time image and video reconstruction and processing
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