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 38 Citations 9,799 78 World Ranking 4936 National Ranking 2436

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Radiology

His scientific interests lie mostly in Artificial intelligence, Image registration, Computer vision, Magnetic resonance imaging and Fiducial marker. He studies Artificial intelligence, focusing on Segmentation in particular. He interconnects Parallel algorithm, Computation, Speedup and Computed tomography in the investigation of issues within Image registration.

His Computer vision research includes elements of Similarity measure, Mutual information and Position. His Magnetic resonance imaging research incorporates themes from Feature, Surface and Nuclear medicine. As a part of the same scientific study, he usually deals with the Fiducial marker, concentrating on Image processing and frequently concerns with Tomography, Fiducial points and Centroid.

His most cited work include:

  • Predicting error in rigid-body point-based registration (850 citations)
  • Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques (827 citations)
  • A linear time algorithm for computing exact Euclidean distance transforms of binary images in arbitrary dimensions (662 citations)

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

Artificial intelligence, Computer vision, Image registration, Fiducial marker and Nuclear medicine are his primary areas of study. His work carried out in the field of Artificial intelligence brings together such families of science as Point and Pattern recognition. His Computer vision study combines topics in areas such as Transformation, Similarity measure, Centroid and Position.

His study in Image registration is interdisciplinary in nature, drawing from both Image processing, Magnetic resonance imaging, Computed tomography and Computation. His Fiducial marker study incorporates themes from Gold standard and Imaging phantom. In the field of Nuclear medicine, his study on Positron emission tomography overlaps with subjects such as Brain surface.

He most often published in these fields:

  • Artificial intelligence (62.16%)
  • Computer vision (57.66%)
  • Image registration (44.14%)

What were the highlights of his more recent work (between 2005-2017)?

  • Tracking (9.01%)
  • Optics (7.21%)
  • Radiosurgery (6.31%)

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

His scientific interests lie mostly in Tracking, Optics, Radiosurgery, Image registration and Computer vision. His Dose profile and Collimator study, which is part of a larger body of work in Optics, is frequently linked to Leakage, bridging the gap between disciplines. The Radiosurgery study combines topics in areas such as Imaging phantom, Nuclear medicine, Fiducial marker and Biomedical engineering.

His Image registration research is multidisciplinary, incorporating perspectives in Segmentation, Image segmentation, Data mining, Navigation system and Information retrieval. His work deals with themes such as Breathing, Position and Artificial intelligence, which intersect with Computer vision. His research in Artificial intelligence is mostly concerned with Stereo camera.

Between 2005 and 2017, his most popular works were:

  • Comprehensive Maps of Drosophila Higher Olfactory Centers: Spatially Segregated Fruit and Pheromone Representation (481 citations)
  • The design, physical properties and clinical utility of an iris collimator for robotic radiosurgery (89 citations)
  • Selective image similarity measure for bronchoscope tracking based on image registration. (74 citations)

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

  • Artificial intelligence
  • Computer vision
  • Radiology

His primary scientific interests are in Optics, Tracking, Computer vision, Artificial intelligence and Pheromone. His studies deal with areas such as Simulation, Rotation and Electromagnetic tracking as well as Optics. His Tracking research is multidisciplinary, relying on both Breathing, Similarity measure and Feature.

His study involves Image registration and Navigation system, a branch of Computer vision. All of his Artificial intelligence and Match moving, Mutual information, Orientation and Stereo camera investigations are sub-components of the entire Artificial intelligence study. His Pheromone study overlaps with Drosophila, Olfactory receptor, Anatomy, Mushroom bodies and Antennal lobe.

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

Predicting error in rigid-body point-based registration

J.M. Fitzpatrick;J.B. West;C.R. Maurer.
IEEE Transactions on Medical Imaging (1998)

1225 Citations

Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques

West J;Fitzpatrick Jm;Wang My;Dawant Bm.
Journal of Computer Assisted Tomography (1997)

1218 Citations

A linear time algorithm for computing exact Euclidean distance transforms of binary images in arbitrary dimensions

C.R. Maurer;Rensheng Qi;V. Raghavan.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2003)

1048 Citations

Registration of head volume images using implantable fiducial markers

C.R. Maurer;J.M. Fitzpatrick;M.Y. Wang;R.L. Galloway.
IEEE Transactions on Medical Imaging (1997)

713 Citations

Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains.

Torsten Rohlfing;Robert Brandt;Randolf Menzel;Calvin R. Maurer.
NeuroImage (2004)

656 Citations

Volume-preserving nonrigid registration of MR breast images using free-form deformation with an incompressibility constraint

T. Rohlfing;C.R. Maurer;D.A. Bluemke;M.A. Jacobs.
IEEE Transactions on Medical Imaging (2003)

579 Citations

Comprehensive Maps of Drosophila Higher Olfactory Centers: Spatially Segregated Fruit and Pheromone Representation

Gregory S.X.E. Jefferis;Christopher J. Potter;Christopher J. Potter;Alexander M. Chan;Elizabeth C. Marin.
Cell (2007)

573 Citations

Image Similarity Using Mutual Information of Regions

Daniel B. Russakoff;Carlo Tomasi;Torsten Rohlfing;Calvin R. Maurer.
european conference on computer vision (2004)

375 Citations

Measurement of intraoperative brain surface deformation under a craniotomy. Commentaries

D. L. G. Hill;C. R. Maurer;R. J. Maciunas;J. A. Barwise.
Neurosurgery (1998)

364 Citations

Nonrigid image registration in shared-memory multiprocessor environments with application to brains, breasts, and bees

T. Rohlfing;C.R. Maurer.
international conference of the ieee engineering in medicine and biology society (2003)

362 Citations

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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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