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Celebi, M. Emre
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ResearcherID: G-2129-2012
URL: http://www.researcherid.com/rid/G-2129-2012
Subject: Computer Science
Keywords: medical image analysis; color image processing; content-based image retrieval; data clustering
ORCID: http://orcid.org/0000-0002-2721-6317
My Institutions (more details)
Primary Institution:
Sub-org/Dept: Computer Science
Role:
My URLs: http://www.lsus.edu/emre-celebi
 
 

This list contains papers that I have authored.

publication(s)  
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1. Title: An Effective Real-Time Color Quantization Method Based on Divisive Hierarchical Clustering
Author(s): Celebi, M. E.; Wen, Q.; Hwang, S.
Source: Journal of Real-Time Image Processing Published: 2015
added
30-Sep-14
2. Title: Advances in Low-Level Color Image Processing
added
30-Sep-14
3. Title: Automated Quantification of Clinically Significant Colors in Dermoscopy Images and Its Application to Skin Lesion Classification
Author(s): Celebi, M. E.; Zornberg, A.
Source: IEEE Systems Journal Volume: 8 Issue: 3 Pages: 980-984 Published: 2014
added
30-Sep-14
4. Title: Color Quantization Using the Adaptive Distributing Units Algorithm
Author(s): Celebi, M. E.; Hwang, S.; Wen, Q.
Source: Imaging Science Journal Volume: 62 Issue: 2 Pages: 80-91 Published: 2014
Times Cited: 0
DOI: 10.1179/1743131X13Y.0000000059
added
30-Sep-14
5. Title: Extension of Automated Melanoma Screening for Non-Melanocytic Skin Lesions
Author(s): Shimizu, K.; Iyatomi, H.; Norton, K. A.; et al.
Source: International Journal of Computer Applications in Technology Volume: 50 Issue: 1--2 Pages: 122-130 Published: 2014
added
30-Sep-14
6. Title: Four-Class Classification of Skin Lesions with Task Decomposition Strategy
Author(s): Iyatomi, H.; Shimizu, K.; Celebi, M. E.; et al.
Source: IEEE Transactions on Biomedical Engineering Published: 2014
added
30-Sep-14
7. Title: Improving Dermoscopy Image Classification Using Color Constancy
Author(s): Barata, C.; Celebi, M. E.; Marques, J. S.
Source: IEEE Journal of Biomedical and Health Informatics Published: 2014
added
30-Sep-14
8. Title: Linear, Deterministic, and Order-Invariant Initialization Methods for the K-Means Clustering Algorithm
Author(s): Celebi, M. E.; Kingravi, H. A.
Source: Partitional Clustering Algorithms Pages: 79-98 Published: 2014
added
30-Sep-14
9. Title: Partitional Clustering Algorithms
added
30-Sep-14
10. Title: A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm
Author(s): Celebi, M. E.; Kingravi, H.; Vela, P. A.
Source: Expert Systems with Applications Volume: 40 Issue: 1 Pages: 200-210 Published: 2013
Times Cited: 13
DOI: 10.1016/j.eswa.2012.07.021
added
16-May-13
publication(s)  
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