M
M. Emre Celebi Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
High Impact
Professor and Chair
faculty
52 h-index
207 pubs
12,269 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
M. Emre Celebi's research focuses on the application of artificial intelligence and machine learning techniques to biomedical data, particularly in the field of dermatology. He has investigated the use of deep learning for skin lesion segmentation and the development of algorithms for melanoma detection in microscopic images. His work also extends to general image processing, including color quantization methods and face recognition systems.
Celebi's publications address challenges and advancements in data preprocessing for biomedical data fusion and provide checklists for evaluating image-based artificial intelligence reports in dermatology. His research group actively explores pattern recognition and automated image interpretation to improve diagnostic accuracy and reproducibility. He has a significant publication record, evidenced by 205 publications and over 12,000 citations, with an h-index of 52, designating him as a highly cited researcher.
His collaborators include researchers from the University of Central Arkansas, with whom he has co-authored multiple publications. Celebi maintains an active lab website and leads a research group dedicated to these areas of study.
Metrics
- h-index: 52
- Publications: 207
- Citations: 12,269
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
Catarina Barata
INESC TEC (PT)
5 shared publications
- A survey on deep learning for skin lesion segmentation
- Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology
- Guest Editorial Skin Image Analysis in the Age of Deep Learning
- A Survey on Deep Learning for Skin Lesion Segmentation
- Guest editorial: Image analysis in dermatology
Allan C. Halpern
4 shared publications
- Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology
- Guest Editorial Skin Image Analysis in the Age of Deep Learning
- Guest editorial: Image analysis in dermatology
- ISIC2018_Task1-2_Training_Input.zip
Philipp Tschandl
4 shared publications
- Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology
- Guest Editorial Skin Image Analysis in the Age of Deep Learning
- Guest editorial: Image analysis in dermatology
- ISIC2018_Task1-2_Training_Input.zip
Marc Combalia
Hospital Clínic de Barcelona (ES)
3 shared publications
- Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology
- Guest Editorial Skin Image Analysis in the Age of Deep Learning
- Guest editorial: Image analysis in dermatology
María‐Luisa Pérez‐Delgado
Universidad de Salamanca (ES)
3 shared publications
- A comparative study of color quantization methods using various image quality assessment indices
- cq100: a high-quality image dataset for color quantization research
- Gray Wolf Optimization for Color Quantization
Qaisar Abbas
Islamic University (BD)
3 shared publications
- 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
- Brain and Heart Rate Variability Patterns Recognition for Depression Classification of Mental Health Disorder
Talal Albalawi
Islamic University (BD)
3 shared publications
- 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
- Brain and Heart Rate Variability Patterns Recognition for Depression Classification of Mental Health Disorder
Pourya Shamsolmoali
Shanghai Jiao Tong University (CN)
2 shared publications
- Image synthesis with adversarial networks: A comprehensive survey and case studies
- Advances in domain adaptation for computer vision
Huiyu Zhou
University of Leicester (GB)
2 shared publications
- Image synthesis with adversarial networks: A comprehensive survey and case studies
- Advances in domain adaptation for computer vision
Richard Jiang
Lancaster University (GB)
2 shared publications
- Quantum Face Recognition With Multigate Quantum Convolutional Neural Network
- Private Facial Diagnosis as an Edge Service for Parkinson's DBS Treatment Valuation
Ahmed Bouridane
University of Sharjah (AE)
2 shared publications
- Quantum Face Recognition With Multigate Quantum Convolutional Neural Network
- Private Facial Diagnosis as an Edge Service for Parkinson's DBS Treatment Valuation
Mohammad Sadegh Helfroush
Shiraz University of Technology (IR)
2 shared publications
- Skin Melanoma Detection in Microscopic Images Using HMM-Based Asymmetric Analysis and Expectation Maximization
- An Innovative Attention-based Triplet Deep Hashing Approach to Retrieve Histopathology Images
Noel Codella
2 shared publications
- Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology
- ISIC2018_Task1-2_Training_Input.zip
David Gutman
2 shared publications
- Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology
- ISIC2018_Task1-2_Training_Input.zip
Brian Helba
2 shared publications
- Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology
- ISIC2018_Task1-2_Training_Input.zip
Similar Researchers
Based on overlapping research topics
M. Emre Celebi
University of Central Arkansas
Medical Imaging Techniques and Applications
Machine Learning Applications
Dermatology and Skin Diseases
Xintao Wu
University of Arkansas at Fayetteville
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AI in cancer detection
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Nidhi Gupta
University of Arkansas at Fayetteville
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Saleh A. Alrasheidi
University of Arkansas at Fayetteville
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AI in cancer detection
Radiomics and Machine Learning in Medical Imaging
Timothy Langford
University of Arkansas for Medical Sciences
Medical Imaging Techniques and Applications
Machine Learning Applications
AI in cancer detection
Mason J. Belue
University of Arkansas for Medical Sciences
Medical Imaging Techniques and Applications
Machine Learning Applications
AI in cancer detection