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Computer Science

D-Index
64
Citations
21269
World Ranking
2547
National Ranking
1273

Overview

Stephen M. Pizer is affiliated with the University of North Carolina at Chapel Hill in the United States. Their research primarily spans the fields of computer science and engineering, with a particular focus on subfields such as computer vision and pattern recognition, computational mechanics, geometry and topology, aerospace engineering, and biomedical engineering.

The scientist's work covers a variety of topics including advanced vision and imaging, 3D shape modeling and analysis, morphological variations and asymmetry, robotics and sensor-based localization, medical image segmentation techniques, AI in cancer detection, and advanced image and video retrieval techniques.

Recent papers authored or co-authored by Stephen M. Pizer illustrate their involvement in medical imaging and shape analysis research:

  • RNNSLAM: Reconstructing the 3D colon to visualize missing regions during a colonoscopy, 2021, Medical Image Analysis
  • Deformable M-Reps for 3D Medical Image Segmentation, 2020, UNC Libraries
  • Artificial intelligence identifies and quantifies colonoscopy blind spots, 2021, Endoscopy
  • Fitting unbranching skeletal structures to objects, 2021, Medical Image Analysis
  • Skeletons, Object Shape, Statistics, 2022, Frontiers in Computer Science

Stephen M. Pizer frequently publishes in several venues, indicating a consistent contribution to academic literature over time. Prominent publication venues for their work include UNC Libraries, arXiv (Cornell University), Medical Image Analysis, Journal of Mathematical Imaging and Vision, and Endoscopy.

Collaboration is an important feature of this scientist's work, reflected in frequent co-authors such as James Damon, Jared Vicory, Mohsen Taheri, Julian Rosenman, and Jörn Schulz, with multiple joint publications recorded with each.

Best Publications

  • Adaptive histogram equalization and its variations

    Stephen M. Pizer;Stephen M. Pizer;E. Philip Amburn;E. Philip Amburn;John D. Austin;Robert Cromartie

  • Principal geodesic analysis for the study of nonlinear statistics of shape

    P.T. Fletcher;Conglin Lu;S.M. Pizer;Sarang Joshi

  • Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms.

    Etta D. Pisano;Shuquan Zong;Bradley M. Hemminger;Marla DeLuca

  • Contrast-limited adaptive histogram equalization: speed and effectiveness

    S.M. Pizer;R.E. Johnston;J.P. Ericksen;B.C. Yankaskas

  • Medial Representations: Mathematics, Algorithms and Applications

    Kaleem Siddiqi;Stephen Pizer

  • Measuring tortuosity of the intracerebral vasculature from MRA images

    E. Bullitt;G. Gerig;S.M. Pizer;Weili Lin

  • Ridges for Image Analysis

    David Eberly;Robert Gardner;Bryan Morse;Stephen Pizer

  • An evaluation of the effectiveness of adaptive histogram equalization for contrast enhancement

    J.B. Zimmerman;S.M. Pizer;E.V. Staab;J.R. Perry

  • Deformable M-Reps for 3D Medical Image Segmentation

    Stephen M. Pizer;P. Thomas Fletcher;Sarang Joshi;Andrew Thall

  • Segmentation, registration, and measurement of shape variation via image object shape

    S.M. Pizer;D.S. Fritsch;P.A. Yushkevich;V.E. Johnson

  • Towards Performing Ultrasound-Guided Needle Biopsies from within a Head-Mounted Display

    Henry Fuchs;Andrei State;Etta D. Pisano;William F. Garrett

  • A multi-scale approach to nonuniform diffusion

    Ross T. Whitaker;Stephen M. Pizer

  • A multiresolution hierarchical approach to image segmentation based on intensity extrema

    L.M. Lifshitz;S.M. Pizer

  • Systems and methods for tubular object processing

    Stephen R. Aylward;Elizabeth Bullitt;Stephen M. Pizer;Daniel Fritsch

  • Image processing algorithms for digital mammography: a pictorial essay.

    E D Pisano;E B Cole;B M Hemminger;M J Yaffe

  • Image object matching using core analysis and deformable shape loci

    Edward L. Chaney;Daniel S. Fritsch;Stephen M. Pizer;Valen Johnson

  • Conveying the 3D shape of smoothly curving transparent surfaces via texture

    V. Interrante;H. Fuchs;S.M. Pizer

  • Intensity ridge and widths for tubular object segmentation and description

    S. Aylward;E. Bullitt;S. Pizer;D. Eberly

  • Zoom-Invariant Vision of Figural Shape: The Mathematics of Cores

    Stephen M Pizer;David Eberly;Bryan S Morse;Daniel S Fritsch

  • The Image Processing Handbook

    Stephen M. Pizer;David F. McAllister

Frequent Co-Authors

Sarang Joshi
Sarang Joshi University of Utah
Henry Fuchs
Henry Fuchs University of North Carolina at Chapel Hill
Elizabeth Bullitt
Elizabeth Bullitt University of North Carolina at Chapel Hill
James Stephen Marron
James Stephen Marron University of North Carolina at Chapel Hill
Guido Gerig
Guido Gerig New York University
Charles E. Metz
Charles E. Metz University of Chicago
Ross T. Whitaker
Ross T. Whitaker University of Utah
Paul A. Yushkevich
Paul A. Yushkevich University of Pennsylvania
Jan-Michael Frahm
Jan-Michael Frahm University of North Carolina at Chapel Hill
Victoria Interrante
Victoria Interrante University of Minnesota

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