D-Index & Metrics Best Publications
Computer Science
Canada
2023

D-Index & Metrics 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.

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 61 Citations 19,114 497 World Ranking 1922 National Ranking 76

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in Canada Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Radiology
  • Surgery

His primary areas of investigation include Artificial intelligence, Computer vision, Magnetic resonance imaging, Visualization and Imaging phantom. His Artificial intelligence study frequently draws connections between related disciplines such as Position. The concepts of his Computer vision study are interwoven with issues in Modality and Endoscope.

His Magnetic resonance imaging research includes elements of Surgery, Image processing, Temporal lobe, Epilepsy and Hippocampus. His biological study spans a wide range of topics, including Single-photon emission computed tomography, Medical physics, Resolution, Distortion and Neurosurgery. His studies in Imaging phantom integrate themes in fields like Inverse problem, Nuclear magnetic resonance and Ultrasound.

His most cited work include:

  • Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space (2930 citations)
  • 3D statistical neuroanatomical models from 305 MRI volumes (1193 citations)
  • Transcranial Magnetic Stimulation during Positron Emission Tomography: A New Method for Studying Connectivity of the Human Cerebral Cortex (634 citations)

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

Terry M. Peters spends much of his time researching Artificial intelligence, Computer vision, Imaging phantom, Radiology and Visualization. Artificial intelligence and Magnetic resonance imaging are commonly linked in his work. His study in Magnetic resonance imaging is interdisciplinary in nature, drawing from both Temporal lobe and Nuclear medicine.

His research in Computer vision intersects with topics in Computer graphics and Ultrasound. The Imaging phantom study combines topics in areas such as Fluoroscopy, Calibration and Biomedical engineering. His Visualization research incorporates elements of Surgical planning and Rendering.

He most often published in these fields:

  • Artificial intelligence (60.90%)
  • Computer vision (54.28%)
  • Imaging phantom (26.49%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (60.90%)
  • Computer vision (54.28%)
  • Imaging phantom (26.49%)

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

His scientific interests lie mostly in Artificial intelligence, Computer vision, Imaging phantom, Mitral valve and Visualization. His research is interdisciplinary, bridging the disciplines of Pattern recognition and Artificial intelligence. His work deals with themes such as Calibration and Calibration, which intersect with Computer vision.

His work carried out in the field of Imaging phantom brings together such families of science as Chordae tendineae, Ventricle, Biomedical engineering and Reproducibility. His Visualization study combines topics from a wide range of disciplines, such as 3D ultrasound, Scalability, Visibility and Medical imaging. His research investigates the connection with Temporal lobe and areas like Hippocampal formation which intersect with concerns in Magnetic resonance imaging.

Between 2016 and 2021, his most popular works were:

  • Hologram stability evaluation for Microsoft HoloLens (33 citations)
  • Investigation of hippocampal substructures in focal temporal lobe epilepsy with and without hippocampal sclerosis at 7T (27 citations)
  • Vision-Based Surgical Field Defogging (20 citations)

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

  • Artificial intelligence
  • Radiology
  • Surgery

Terry M. Peters mostly deals with Artificial intelligence, Computer vision, Radiology, Augmented reality and Imaging phantom. His Artificial intelligence research integrates issues from Effective method and Endoscopic image. His Radiology research is multidisciplinary, relying on both Temporal lobe, Epilepsy and Motion magnification.

His work is dedicated to discovering how Temporal lobe, Atrophy are connected with Magnetic resonance imaging and other disciplines. Terry M. Peters combines subjects such as Blood vessel, Doppler ultrasound, Aneurysm and Abnormality with his study of Augmented reality. The study incorporates disciplines such as Laparoscopic surgery, Laparoscopy, Mitral valve repair and Feature in addition to Imaging phantom.

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

Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space

D L Collins;P Neelin;T M Peters;A C Evans.
Journal of Computer Assisted Tomography (1994)

3793 Citations

3D statistical neuroanatomical models from 305 MRI volumes

A.C. Evans;D.L. Collins;S.R. Mills;E.D. Brown.
nuclear science symposium and medical imaging conference (1993)

1748 Citations

Anatomic basis of amygdaloid and hippocampal volume measurement by magnetic resonance imaging

Craig Watson;F. Andermann;P. Gloor;M. Jones-Gotman.
Neurology (1992)

882 Citations

Transcranial Magnetic Stimulation during Positron Emission Tomography: A New Method for Studying Connectivity of the Human Cerebral Cortex

Tomáš Paus;Robert Jech;Christopher J. Thompson;Roch Comeau.
The Journal of Neuroscience (1997)

873 Citations

Rapid combined T1 and T2 mapping using gradient recalled acquisition in the steady state.

Sean C.L. Deoni;Brian K. Rutt;Brian K. Rutt;Terry M. Peters.
Magnetic Resonance in Medicine (2003)

805 Citations

An algorithmic overview of surface registration techniques for medical imaging

Michel A. Audette;Frank P. Ferrie;Terry M. Peters.
Medical Image Analysis (2000)

603 Citations

MRI volumetric measurement of amygdala and hippocampus in temporal lobe epilepsy

F. Cendes;F. Andermann;P. Gloor;A. Evans.
Neurology (1993)

543 Citations

Early childhood prolonged febrile convulsions, atrophy and sclerosis of mesial structures, and temporal lobe epilepsy: An MRI volumetric study

F. Cendes;F. Andermann;F. Dubeau;P. Gloor.
Neurology (1993)

539 Citations

High-resolution T1 and T2 mapping of the brain in a clinically acceptable time with DESPOT1 and DESPOT2

Sean C. L. Deoni;Terry M. Peters;Terry M. Peters;Brian K. Rutt.
Magnetic Resonance in Medicine (2005)

472 Citations

Image-Guided Interventions: Technology Review and Clinical Applications

Kevin Cleary;Terry M Peters.
Annual Review of Biomedical Engineering (2010)

441 Citations

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