D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 32 Citations 7,748 461 World Ranking 8947 National Ranking 527

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Pattern recognition, Image segmentation and Image retrieval. As a part of the same scientific family, he mostly works in the field of Artificial intelligence, focusing on Machine learning and, on occasion, Fuzzy set. His study on Pixel, Standard illuminant, Edge detection and Thresholding is often connected to Pigmented skin as part of broader study in Computer vision.

Gerald Schaefer has researched Pattern recognition in several fields, including Local binary patterns, Skin cancer and Mean-shift. The various areas that he examines in his Image retrieval study include Visualization and Database. His Database study incorporates themes from Quantization, Quantization, Color image, Uncompressed video and Ground truth.

His most cited work include:

  • UCID: an uncompressed color image database (848 citations)
  • Lesion border detection in dermoscopy images. (305 citations)
  • Cost-sensitive decision tree ensembles for effective imbalanced classification (178 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Artificial intelligence, Computer vision, Pattern recognition, Image retrieval and Feature extraction. Artificial intelligence and Machine learning are commonly linked in his work. His Machine learning research incorporates themes from Fuzzy classification and Fuzzy logic.

In his study, Palette is inextricably linked to Cluster analysis, which falls within the broad field of Pattern recognition. His work carried out in the field of Image retrieval brings together such families of science as JPEG and Information retrieval. His Image segmentation research is multidisciplinary, incorporating elements of Edge detection, Thresholding and Medical imaging.

He most often published in these fields:

  • Artificial intelligence (72.32%)
  • Computer vision (42.49%)
  • Pattern recognition (32.19%)

What were the highlights of his more recent work (between 2014-2021)?

  • Artificial intelligence (72.32%)
  • Pattern recognition (32.19%)
  • Computer vision (42.49%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Computer vision, Image and Artificial neural network. His Artificial intelligence study frequently links to other fields, such as Machine learning. His Pattern recognition research integrates issues from Pixel, Histogram, Local binary patterns and Image quality.

His Computer vision research focuses on Image retrieval and JPEG 2000. Gerald Schaefer combines subjects such as Visualization and Information retrieval with his study of Image. His studies in Artificial neural network integrate themes in fields like Fuzzy logic and Pattern recognition.

Between 2014 and 2021, his most popular works were:

  • Fusing fine-tuned deep features for skin lesion classification. (49 citations)
  • Skin Lesion Classification Using Hybrid Deep Neural Networks (44 citations)
  • A Multi-Organ Nucleus Segmentation Challenge (40 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Computer vision

His main research concerns Artificial intelligence, Pattern recognition, Metaheuristic, Classifier and Image segmentation. His Machine learning research extends to Artificial intelligence, which is thematically connected. His studies deal with areas such as Feature and Medical imaging as well as Pattern recognition.

His Metaheuristic study also includes

  • Differential evolution which is related to area like Particle swarm optimization and Thresholding,
  • Benchmark that intertwine with fields like Mathematical optimization, k-means clustering and Computational intelligence. His research integrates issues of Decision tree, Breast cancer, Mammography and Computational biology in his study of Classifier. His Feature extraction research entails a greater understanding of Computer vision.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

UCID: an uncompressed color image database

Gerald Schaefer;Michal Stich.
electronic imaging (2003)

1410 Citations

Lesion border detection in dermoscopy images.

M.Emre Celebi;Hitoshi Iyatomi;Gerald Schaefer;William V. Stoecker.
Computerized Medical Imaging and Graphics (2009)

475 Citations

Cost-sensitive decision tree ensembles for effective imbalanced classification

Bartosz Krawczyk;Michał Woniak;Gerald Schaefer.
soft computing (2014)

296 Citations

Illuminant and device invariant colour using histogram equalisation

Graham D. Finlayson;Steven D. Hordley;Gerald Schaefer;Gui Yun Tian.
Pattern Recognition (2005)

264 Citations

Thermography based breast cancer analysis using statistical features and fuzzy classification

Gerald Schaefer;Michal Závišek;Tomoharu Nakashima.
Pattern Recognition (2009)

231 Citations

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

Huiyu Zhou;G. Schaefer;A.H. Sadka;M.E. Celebi.
IEEE Journal of Selected Topics in Signal Processing (2009)

209 Citations

Solving for Colour Constancy using a Constrained Dichromatic Reflection Model

Graham D. Finlayson;Gerald Schaefer.
International Journal of Computer Vision (2001)

204 Citations

Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods

M. Emre Celebi;Quan Wen;Sae Hwang;Hitoshi Iyatomi.
Skin Research and Technology (2013)

198 Citations

Rough Sets and Near Sets in Medical Imaging: A Review

A.E. Hassanien;A. Abraham;J.F. Peters;G. Schaefer.
international conference of the ieee engineering in medicine and biology society (2009)

175 Citations

A Multi-Organ Nucleus Segmentation Challenge

Neeraj Kumar;Ruchika Verma;Deepak Anand;Yanning Zhou.
IEEE Transactions on Medical Imaging (2020)

141 Citations

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

Contact us

Best Scientists Citing Gerald Schaefer

Aboul Ella Hassanien

Aboul Ella Hassanien

Cairo University

Publications: 57

M. Emre Celebi

M. Emre Celebi

University of Central Arkansas

Publications: 38

James F. Peters

James F. Peters

University of Manitoba

Publications: 28

Jiwu Huang

Jiwu Huang

Shenzhen University

Publications: 24

Xinpeng Zhang

Xinpeng Zhang

Fudan University

Publications: 23

Francisco Herrera

Francisco Herrera

University of Granada

Publications: 17

Bartosz Krawczyk

Bartosz Krawczyk

Virginia Commonwealth University

Publications: 17

Chuan Qin

Chuan Qin

University of Shanghai for Science and Technology

Publications: 15

João Manuel R. S. Tavares

João Manuel R. S. Tavares

University of Porto

Publications: 15

Yao Zhao

Yao Zhao

Beijing Jiaotong University

Publications: 13

Yun Q. Shi

Yun Q. Shi

New Jersey Institute of Technology

Publications: 12

Sebastiano Battiato

Sebastiano Battiato

University of Catania

Publications: 11

Feng Wu

Feng Wu

University of Science and Technology of China

Publications: 11

Xuelong Li

Xuelong Li

Northwestern Polytechnical University

Publications: 10

Katsushi Ikeuchi

Katsushi Ikeuchi

Microsoft (United States)

Publications: 10

Dong Liu

Dong Liu

University of Science and Technology of China

Publications: 10

Trending Scientists

Stephanie Schmitt-Grohé

Stephanie Schmitt-Grohé

Columbia University

Piet Wambacq

Piet Wambacq

Vrije Universiteit Brussel

Christopher L. Hendrickson

Christopher L. Hendrickson

Florida State University

Motoo Shiro

Motoo Shiro

Nagoya Institute of Technology

Shunji Bandow

Shunji Bandow

Meijo University

Michael L. Simpson

Michael L. Simpson

Oak Ridge National Laboratory

Mitsuo Oshimura

Mitsuo Oshimura

Tottori University

Viesturs Simanis

Viesturs Simanis

École Polytechnique Fédérale de Lausanne

Virgil L. Woods

Virgil L. Woods

University of California, San Diego

Selman A. Waksman

Selman A. Waksman

Rutgers, The State University of New Jersey

Charles R. McClain

Charles R. McClain

Goddard Space Flight Center

Mariano Sigman

Mariano Sigman

Consejo Nacional de Investigaciones Científicas y Técnicas

Irving H. Zucker

Irving H. Zucker

University of Nebraska Medical Center

Pekka Jousilahti

Pekka Jousilahti

Finnish Institute for Health and Welfare

Julie Taylor

Julie Taylor

Vanderbilt University

Anthony S.F. Chiu

Anthony S.F. Chiu

De La Salle University

Something went wrong. Please try again later.