World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
10828
World Ranking
8650
National Ranking
525

Overview

Gerald Schaefer is affiliated with Loughborough University in the United Kingdom. Their research primarily focuses on computer science, with a significant emphasis on subfields such as computer vision and pattern recognition, artificial intelligence, computational theory and mathematics, ocean engineering, and media technology.

The scientist's work covers a variety of specialized topics, including:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Image and Video Retrieval Techniques
  • Digital Media Forensic Detection
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Neural Network Applications
  • Neural Networks and Applications
  • AI in cancer detection

Gerald Schaefer has published extensively, with several recent papers demonstrating their involvement in both medical imaging and remote sensing applications. Notable publications include:

  • Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification, 2020, Computer Methods and Programs in Biomedicine
  • Deep-Learning-Based Multispectral Satellite Image Segmentation for Water Body Detection, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • CryoNuSeg: A dataset for nuclei instance segmentation of cryosectioned H&E-stained histological images, 2021, Computers in Biology and Medicine
  • Image Disentanglement Autoencoder for Steganography without Embedding, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural Networks, 2022, 2022 26th International Conference on Pattern Recognition (ICPR)

Their collaboration network includes frequent co-authors such as Hui Fang, Seyed Jalaleddin Mousavirad, Xiyao Liu, Diego Oliva, and Kunhao Yuan, indicating active cooperation in research projects and publications.

Gerald Schaefer publishes regularly in several venues, notably:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Pattern Recognition
  • Knowledge-Based Systems
  • Neurocomputing

This publication record emphasizes a focus on interdisciplinary areas, which combine image processing, neural networks, and optimization algorithms with practical applications in biomedicine and engineering. The scientist's contributions span foundational research and applied methodologies in computer vision and artificial intelligence fields.

Best Publications

  • UCID: an uncompressed color image database

    Gerald Schaefer;Michal Stich

  • Lesion border detection in dermoscopy images.

    M.Emre Celebi;Hitoshi Iyatomi;Gerald Schaefer;William V. Stoecker

  • A Multi-Organ Nucleus Segmentation Challenge

    Neeraj Kumar;Ruchika Verma;Deepak Anand;Yanning Zhou

  • Cost-sensitive decision tree ensembles for effective imbalanced classification

    Bartosz Krawczyk;Michał Woniak;Gerald Schaefer

  • Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification.

    Amirreza Mahbod;Gerald Schaefer;Chunliang Wang;Georg Dorffner

  • Illuminant and device invariant colour using histogram equalisation

    Graham D. Finlayson;Steven D. Hordley;Gerald Schaefer;Gui Yun Tian

  • Skin Lesion Classification Using Hybrid Deep Neural Networks

    Amirreza Mahbod;Gerald Schaefer;Chunliang Wang;Rupert Ecker

  • Thermography based breast cancer analysis using statistical features and fuzzy classification

    Gerald Schaefer;Michal Závišek;Tomoharu Nakashima

  • Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods

    M. Emre Celebi;Quan Wen;Sae Hwang;Hitoshi Iyatomi

  • Fusing fine-tuned deep features for skin lesion classification.

    Amirreza Mahbod;Gerald Schaefer;Isabella Ellinger;Rupert Ecker

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

    Huiyu Zhou;G. Schaefer;A.H. Sadka;M.E. Celebi

  • Solving for Colour Constancy using a Constrained Dichromatic Reflection Model

    Graham D. Finlayson;Gerald Schaefer

  • Rough Sets and Near Sets in Medical Imaging: A Review

    A.E. Hassanien;A. Abraham;J.F. Peters;G. Schaefer

  • Colour and contrast enhancement for improved skin lesion segmentation

    Gerald Schaefer;Maher I. Rajab;M. Emre Celebi;Hitoshi Iyatomi

  • Mean shift based gradient vector flow for image segmentation

    Huiyu Zhou;Xuelong Li;Gerald Schaefer;M. Emre Celebi

  • Deep-Learning-Based Multispectral Satellite Image Segmentation for Water Body Detection

    Kunhao Yuan;Xu Zhuang;Gerald Schaefer;Jianxin Feng

  • Gradient vector flow with mean shift for skin lesion segmentation.

    Huiyu Zhou;Gerald Schaefer;M. Emre Celebi;Faquan Lin

  • Distributed Task Rescheduling With Time Constraints for the Optimization of Total Task Allocations in a Multirobot System

    Joanna Turner;Qinggang Meng;Gerald Schaefer;Amanda Whitbrook

  • An ensemble classification approach for melanoma diagnosis

    Gerald Schaefer;Bartosz Krawczyk;M. Emre Celebi;Hitoshi Iyatomi

  • A weighted fuzzy classifier and its application to image processing tasks

    Tomoharu Nakashima;Gerald Schaefer;Yasuyuki Yokota;Hisao Ishibuchi

  • A next generation browsing environment for large image repositories

    Gerald Schaefer

Frequent Co-Authors

M. Emre Celebi
M. Emre Celebi University of Central Arkansas
Aboul Ella Hassanien
Aboul Ella Hassanien Cairo University
Huiyu Zhou
Huiyu Zhou University of Leicester
Bartosz Krawczyk
Bartosz Krawczyk Rochester Institute of Technology
Hisao Ishibuchi
Hisao Ishibuchi Southern University of Science and Technology
Graham D. Finlayson
Graham D. Finlayson University of East Anglia
Guoping Qiu
Guoping Qiu University of Nottingham
William V. Stoecker
William V. Stoecker Missouri University of Science and Technology
Ajith Abraham
Ajith Abraham Sai University
James F. Peters
James F. Peters University of Manitoba

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