D-Index & Metrics Best Publications

D-Index & Metrics

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 42 Citations 7,035 161 World Ranking 4077 National Ranking 2070

Research.com Recognitions

Awards & Achievements

2004 - IEEE Fellow For contributions to three-dimensional medical imaging and processing.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Radiology

His primary areas of investigation include Artificial intelligence, Computer vision, Image segmentation, Bronchoscopy and Image processing. His work deals with themes such as Endoscope and Endoscopy, which intersect with Artificial intelligence. William E. Higgins regularly links together related areas like Tree in his Computer vision studies.

His Bronchoscopy study combines topics in areas such as Biopsy and Projection. His Image processing research is multidisciplinary, incorporating perspectives in Orientation, Image registration and Bilinear interpolation. His Segmentation study incorporates themes from Mathematical morphology and Robustness.

His most cited work include:

  • Optimal Gabor filters for texture segmentation (388 citations)
  • Texture segmentation using 2-D Gabor elementary functions (287 citations)
  • Efficient Gabor filter design for texture segmentation (263 citations)

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

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Bronchoscopy, Image segmentation and Segmentation. William E. Higgins interconnects Imaging phantom and Pattern recognition in the investigation of issues within Artificial intelligence. His research in Pattern recognition tackles topics such as Filter which are related to areas like Classification of discontinuities.

His studies in Computer vision integrate themes in fields like Tree and Visualization. His studies deal with areas such as Lung cancer, Medical physics, Airway and Image-guided surgery as well as Bronchoscopy. His study in Image segmentation is interdisciplinary in nature, drawing from both Gabor filter, Band-pass filter and Grayscale.

He most often published in these fields:

  • Artificial intelligence (67.70%)
  • Computer vision (63.72%)
  • Bronchoscopy (37.17%)

What were the highlights of his more recent work (between 2012-2021)?

  • Bronchoscopy (37.17%)
  • Artificial intelligence (67.70%)
  • Computer vision (63.72%)

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

His primary scientific interests are in Bronchoscopy, Artificial intelligence, Computer vision, Radiology and Medical physics. The concepts of his Bronchoscopy study are interwoven with issues in Visualization, Lung cancer and Image registration. His work on Artificial intelligence is being expanded to include thematically relevant topics such as Imaging phantom.

His Computer vision research is multidisciplinary, incorporating elements of Modality and Airway. His work in the fields of Biopsy overlaps with other areas such as Hands free. When carried out as part of a general Image segmentation research project, his work on Region growing is frequently linked to work in Patient data and Test case, therefore connecting diverse disciplines of study.

Between 2012 and 2021, his most popular works were:

  • Interactive CT-Video Registration for the Continuous Guidance of Bronchoscopy (38 citations)
  • Optimal Procedure Planning and Guidance System for Peripheral Bronchoscopy (13 citations)
  • Methods for 2-D and 3-D Endobronchial Ultrasound Image Segmentation (10 citations)

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

  • Artificial intelligence
  • Computer vision
  • Radiology

Bronchoscopy, Computer vision, Artificial intelligence, Medical physics and Endobronchial ultrasound are his primary areas of study. His research in Bronchoscopy intersects with topics in Control and Human study. His Computer vision study combines topics from a wide range of disciplines, such as Imaging phantom and Automatic summarization.

William E. Higgins integrates Artificial intelligence and Patient data in his research. His study looks at the relationship between Medical physics and fields such as Sensor fusion, as well as how they intersect with chemical problems. The Endobronchial ultrasound study combines topics in areas such as Region growing, Ultrasonography and Computed tomography.

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

Optimal Gabor filters for texture segmentation

D. Dunn;W.E. Higgins.
IEEE Transactions on Image Processing (1995)

707 Citations

Texture segmentation using 2-D Gabor elementary functions

D. Dunn;W.E. Higgins;J. Wakeley.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1994)

545 Citations

Efficient Gabor filter design for texture segmentation

Thomas P. Weldon;William E. Higgins;Dennis F. Dunn.
Pattern Recognition (1996)

427 Citations

Symmetric region growing

S.-Y. Wan;W.E. Higgins.
IEEE Transactions on Image Processing (2003)

283 Citations

Three-Dimensional Human Airway Segmentation Methods for Clinical Virtual Bronchoscopy☆

Atilla P. Kiraly;William E. Higgins;William E. Higgins;Geoffrey McLennan;Eric A. Hoffman.
Academic Radiology (2002)

234 Citations

Virtual bronchoscopy for three--dimensional pulmonary image assessment: state of the art and future needs.

William E. Higgins;Krishnan Ramaswamy;Roderick D. Swift;Geoffrey McLennan.
Radiographics (1998)

218 Citations

Method and apparatus for continuous guidance of endoscopy

William E. Higgins;Scott A. Merritt;Lav Rai;Jason D. Gibbs.
(2008)

196 Citations

Three-dimensional path planning for virtual bronchoscopy

A.P. Kiraly;J.P. Helferty;E.A. Hoffman;G. McLennan.
IEEE Transactions on Medical Imaging (2004)

170 Citations

CeBr/sub 3/ scintillators for gamma-ray spectroscopy

K.S. Shah;J. Glodo;W. Higgins;E.V.D. van Loef.
IEEE Transactions on Nuclear Science (2005)

167 Citations

Fast 3d-2d image registration method with application to continuously guided endoscopy

William E. Higgins;Scott A. Merritt;Lav Rai.
(2006)

154 Citations

Best Scientists Citing William E. Higgins

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Eric A. Hoffman

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New York University

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Joseph M. Reinhardt

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Erik L. Ritman

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Lowell L. Wood

Lowell L. Wood

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Andrei State

Andrei State

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Gregory D. Hager

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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