M. Emre Celebi

research

∙ 06/01/2022

A Survey on Deep Learning for Skin Lesion Segmentation

Skin cancer is a major public health problem that could benefit from com...

Zahra Mirikharaji, et al. ∙

research

∙ 05/16/2021

Private Facial Diagnosis as an Edge Service for Parkinson's DBS Treatment Valuation

Facial phenotyping has recently been successfully exploited for medical ...

Richard Jiang, et al. ∙

research

∙ 03/27/2019

Social Behavioral Phenotyping of Drosophila with a2D-3D Hybrid CNN Framework

Behavioural phenotyping of Drosophila is an important means in biologica...

Ziping Jiang, et al. ∙

research

∙ 02/09/2019

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

The International Skin Imaging Collaboration (ISIC) is a global partners...

Noel Codella, et al. ∙

research

∙ 10/13/2017

Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collabora

This article describes the design, implementation, and results of the la...

Noel C. F. Codella, et al. ∙

research

∙ 01/28/2016

An Overview of Melanoma Detection in Dermoscopy Images Using Image Processing and Machine Learning

The incidence of malignant melanoma continues to increase worldwide. Thi...

Nabin K. Mishra, et al. ∙

research

∙ 09/12/2014

Linear, Deterministic, and Order-Invariant Initialization Methods for the K-Means Clustering Algorithm

Over the past five decades, k-means has become the clustering algorithm ...

M. Emre Celebi, et al. ∙

research

∙ 12/26/2013

Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods

Dermoscopy is one of the major imaging modalities used in the diagnosis ...

M. Emre Celebi, et al. ∙

research

∙ 04/28/2013

Deterministic Initialization of the K-Means Algorithm Using Hierarchical Clustering

K-means is undoubtedly the most widely used partitional clustering algor...

M. Emre Celebi, et al. ∙

research

∙ 09/10/2012

A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm

K-means is undoubtedly the most widely used partitional clustering algor...

M. Emre Celebi, et al. ∙

research

∙ 06/10/2012

Comments on "On Approximating Euclidean Metrics by Weighted t-Cost Distances in Arbitrary Dimension"

Mukherjee (Pattern Recognition Letters, vol. 32, pp. 824-831, 2011) rece...

M. Emre Celebi, et al. ∙

research

∙ 01/02/2011

Improving the Performance of K-Means for Color Quantization

Color quantization is an important operation with many applications in g...

M. Emre Celebi, et al. ∙

research

∙ 10/30/2010

Lesion Border Detection in Dermoscopy Images

Background: Dermoscopy is one of the major imaging modalities used in th...

M. Emre Celebi, et al. ∙

research

∙ 10/30/2010

Fast Color Quantization Using Weighted Sort-Means Clustering

Color quantization is an important operation with numerous applications ...

M. Emre Celebi, et al. ∙

research

∙ 09/06/2010

Approximate Lesion Localization in Dermoscopy Images

Background: Dermoscopy is one of the major imaging modalities used in th...

M. Emre Celebi, et al. ∙

research

∙ 09/06/2010

An Improved Objective Evaluation Measure for Border Detection in Dermoscopy Images

Background: Dermoscopy is one of the major imaging modalities used in th...

M. Emre Celebi, et al. ∙

research

∙ 09/06/2010

Automatic Detection of Blue-White Veil and Related Structures in Dermoscopy Images

Dermoscopy is a non-invasive skin imaging technique, which permits visua...

M. Emre Celebi, et al. ∙

research

∙ 09/06/2010

Nonlinear Vector Filtering for Impulsive Noise Removal from Color Images

In this paper, a comprehensive survey of 48 filters for impulsive noise ...

M. Emre Celebi, et al. ∙

research

∙ 09/06/2010

A Fast Switching Filter for Impulsive Noise Removal from Color Images

In this paper, we present a fast switching filter for impulsive noise re...

M. Emre Celebi, et al. ∙

research

∙ 09/06/2010

Cost-Effective Implementation of Order-Statistics Based Vector Filters Using Minimax Approximations

Vector operators based on robust order statistics have proved successful...

M. Emre Celebi, et al. ∙

research

∙ 09/05/2010

Real-Time Implementation of Order-Statistics Based Directional Filters

Vector filters based on order-statistics have proved successful in remov...

M. Emre Celebi, et al. ∙

research

∙ 09/05/2010

Distance Measures for Reduced Ordering Based Vector Filters

Reduced ordering based vector filters have proved successful in removing...

M. Emre Celebi, et al. ∙

research

∙ 09/04/2010

Fast Color Space Transformations Using Minimax Approximations

Color space transformations are frequently used in image processing, gra...

M. Emre Celebi, et al. ∙

research

∙ 08/28/2010

On Euclidean Norm Approximations

Euclidean norm calculations arise frequently in scientific and engineeri...

M. Emre Celebi, et al. ∙

M. Emre Celebi

Featured Co-authors

Ghassan Hamarneh

Eduardo Valle

Patricio A. Vela

Hitoshi Iyatomi

Sandra Avila

Kumar Abhishek

Richard Jiang

Noel Codella

Gerald Schaefer

Noel C. F. Codella

Alceu Bissoto

A Survey on Deep Learning for Skin Lesion Segmentation

Private Facial Diagnosis as an Edge Service for Parkinson's DBS Treatment Valuation

Social Behavioral Phenotyping of Drosophila with a2D-3D Hybrid CNN Framework

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

Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collabora

An Overview of Melanoma Detection in Dermoscopy Images Using Image Processing and Machine Learning

Linear, Deterministic, and Order-Invariant Initialization Methods for the K-Means Clustering Algorithm

Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods

Deterministic Initialization of the K-Means Algorithm Using Hierarchical Clustering

A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm

Comments on "On Approximating Euclidean Metrics by Weighted t-Cost Distances in Arbitrary Dimension"

Improving the Performance of K-Means for Color Quantization

Lesion Border Detection in Dermoscopy Images

Fast Color Quantization Using Weighted Sort-Means Clustering

Approximate Lesion Localization in Dermoscopy Images

An Improved Objective Evaluation Measure for Border Detection in Dermoscopy Images

Automatic Detection of Blue-White Veil and Related Structures in Dermoscopy Images

Nonlinear Vector Filtering for Impulsive Noise Removal from Color Images

A Fast Switching Filter for Impulsive Noise Removal from Color Images

Cost-Effective Implementation of Order-Statistics Based Vector Filters Using Minimax Approximations

Real-Time Implementation of Order-Statistics Based Directional Filters

Distance Measures for Reduced Ordering Based Vector Filters

Fast Color Space Transformations Using Minimax Approximations

On Euclidean Norm Approximations