World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
25448
World Ranking
3529
National Ranking
1700

Research.com Recognitions

  • 1996 - IEEE Fellow For contributions in the theory of relational matching and its application to model-based computer vision.

Overview

Linda G. Shapiro is affiliated with the University of Washington in the United States. Their research spans the fields of computer science and medicine, with significant contributions in artificial intelligence, computer vision and pattern recognition, radiology, oncology, and genetics. The scientist's work focuses extensively on applications of AI in cancer detection, radiomics and machine learning in medical imaging, and digital imaging for blood diseases, among other topics.

Frequent coauthors collaborating with Linda G. Shapiro include Joann G. Elmore, Beibin Li, Sachin Mehta, Wenjun Wu, and Nicholas Nuechterlein.

The main publication venues for the scientist's work include:

  • arXiv (Cornell University)
  • Neuro-Oncology
  • Computerized Medical Imaging and Graphics
  • Zenodo (CERN European Organization for Nuclear Research)
  • Cardiovascular Digital Health Journal

Some recent papers authored by or involving Linda G. Shapiro are:

  • Quilt-1M: One Million Image-Text Pairs for Histopathology, 2023, PubMed
  • Artificial intelligence-enabled mobile electrocardiograms for event prediction in paroxysmal atrial fibrillation, 2023, Cardiovascular Digital Health Journal
  • End-to-End diagnosis of breast biopsy images with transformers, 2022, Medical Image Analysis
  • Machine learning techniques for mitoses classification, 2020, Computerized Medical Imaging and Graphics
  • Scale-Aware Transformers for Diagnosing Melanocytic Lesions, 2021, IEEE Access

Linda G. Shapiro has also published books, including one titled Computer Vision and Image Processing (2021) published by Springer Science+Business Media.

The scientist's main research topics covered in numerous publications are:

  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging
  • Digital Imaging for Blood Diseases
  • Cutaneous Melanoma Detection and Management
  • Cell Image Analysis Techniques
  • Glioma Diagnosis and Treatment
  • Colorectal Cancer Screening and Detection

Linda G. Shapiro was awarded the IEEE Fellow distinction in 1996 for contributions in the theory of relational matching and its application to model-based computer vision.

Best Publications

  • Computer and Robot Vision

    Robert M. Haralock;Linda G. Shapiro

  • Image Segmentation Techniques

    Robert M. Haralick;Linda G. Shapiro

  • ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

    Sachin Mehta;Mohammad Rastegari;Anat Caspi;Linda G. Shapiro

  • Structural Descriptions and Inexact Matching

    Linda G. Shapiro;Robert M. Haralick

  • Morphologic edge detection

    J. Lee;R. Haralick;L. Shapiro

  • ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network

    Sachin Mehta;Mohammad Rastegari;Linda Shapiro;Hannaneh Hajishirzi

  • The Consistent Labeling Problem: Part II

    Robert M. Haralick;Linda G. Shapiro

  • A SIFT descriptor with global context

    E.N. Mortensen;Hongli Deng;L. Shapiro

  • A new connected components algorithm for virtual memory computers

    Ronald Lumia;Linda G. Shapiro;Oscar A. Zuniga

  • View-base Rendering: Visualizing Real Objects from Scanned Range and Color Data

    Kari Pulli;Michael Cohen;Tom Duchamp;Hugues Hoppe

  • A Metric for Comparing Relational Descriptions

    Linda G. Shapiro;Robert M. Haralick

  • Glossary of computer vision terms

    Robert M. Haralick;Linda G. Shapiro

  • Unsupervised Template Learning for Fine-Grained Object Recognition

    Shulin Yang;Liefeng Bo;Jue Wang;Linda G. Shapiro

  • Automated insect identification through concatenated histograms of local appearance features: feature vector generation and region detection for deformable objects

    Natalia Larios;Hongli Deng;Wei Zhang;Matt Sarpola

  • Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

    Sachin Mehta;Ezgi Mercan;Jamen Bartlett;Donald L. Weaver

  • Decomposition of Two-Dimensional Shapes by Graph-Theoretic Clustering

    Linda G. Shapiro;Robert M. Haralick

  • Detection and classification of cancer in whole slide breast histopathology images using deep convolutional networks.

    Baris Gecer;Selim Aksoy;Ezgi Mercan;Linda G. Shapiro

  • A Flexible Image Database System for Content-Based Retrieval

    Andrew P. Berman;Linda G. Shapiro

  • Principal Curvature-Based Region Detector for Object Recognition

    Hongli Deng;Wei Zhang;E. Mortensen;T. Dietterich

  • Modeling Stylized Character Expressions via Deep Learning

    Deepali Aneja;Alex Colburn;Gary Faigin;Linda G. Shapiro

  • Computer Vision and Image Processing

    Linda Shapiro;Azriel Rosenfeld

Frequent Co-Authors

Robert M. Haralick
Robert M. Haralick City University of New York
Matthew L. Speltz
Matthew L. Speltz Seattle Children's Hospital
Thomas G. Dietterich
Thomas G. Dietterich Oregon State University
Tad T. Brunyé
Tad T. Brunyé Tufts University
Jenq-Neng Hwang
Jenq-Neng Hwang University of Washington
Hannaneh Hajishirzi
Hannaneh Hajishirzi University of Washington
George A. Ojemann
George A. Ojemann University of Washington
David P. Corina
David P. Corina University of California, Davis
Arun K. Somani
Arun K. Somani Iowa State University

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