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 69 Citations 16,108 543 World Ranking 1250 National Ranking 48
Medicine D-index 86 Citations 23,265 718 World Ranking 9303 National Ranking 360

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in Canada Leader Award

2017 - SPIE Fellow

2013 - IEEE Fellow For contributions to medical Imaging and ultrasound-guided intervention

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Internal medicine
  • Computer vision

His primary areas of investigation include Ultrasound, Artificial intelligence, Computer vision, Radiology and Medical imaging. His Ultrasound research incorporates themes from Prostate, Nuclear medicine and Biomedical engineering. The Biomedical engineering study combines topics in areas such as Imaging phantom and Doppler effect.

His Computer vision research incorporates elements of Color doppler, Surface, Transducer and Ultrasound imaging. His work on Plaque volume as part of general Radiology study is frequently linked to Reproducibility, therefore connecting diverse disciplines of science. The various areas that he examines in his Medical imaging study include Image-guided surgery, Prostate cancer and X ray radiography.

His most cited work include:

  • Three-Dimensional Ultrasound Imaging (660 citations)
  • Intravenous delivery of a multi-mechanistic cancer-targeted oncolytic poxvirus in humans (407 citations)
  • 3-D ultrasound imaging: a review (365 citations)

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

Aaron Fenster focuses on Radiology, Ultrasound, Artificial intelligence, Computer vision and 3D ultrasound. His Radiology research focuses on Prostate and how it connects with Surgery and Ultrasonography. His Ultrasound study combines topics in areas such as Prostate cancer, Nuclear medicine, Biomedical engineering and Carotid atherosclerosis.

Aaron Fenster studies Computer vision, focusing on Image processing in particular. As a part of the same scientific family, Aaron Fenster mostly works in the field of 3D ultrasound, focusing on Brachytherapy and, on occasion, Dosimetry. His Magnetic resonance imaging study integrates concerns from other disciplines, such as Image registration and Fiducial marker.

He most often published in these fields:

  • Radiology (44.75%)
  • Ultrasound (44.42%)
  • Artificial intelligence (33.26%)

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

  • Artificial intelligence (33.26%)
  • Ultrasound (44.42%)
  • Magnetic resonance imaging (19.80%)

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

His primary areas of investigation include Artificial intelligence, Ultrasound, Magnetic resonance imaging, Segmentation and Radiology. His studies deal with areas such as Computer vision and Pattern recognition as well as Artificial intelligence. Aaron Fenster studies 3D ultrasound which is a part of Ultrasound.

His 3D ultrasound research includes themes of Imaging phantom, Cerebral ventricle, Brachytherapy and Biomedical engineering. His Magnetic resonance imaging research also works with subjects such as

  • Prostate that intertwine with fields like Prostate cancer, Biopsy and Fiducial marker,
  • Nuclear medicine which is related to area like COPD and Image processing. The concepts of his Segmentation study are interwoven with issues in Prostate brachytherapy, Global optimization and Common carotid artery.

Between 2012 and 2021, his most popular works were:

  • Progression of carotid plaque volume predicts cardiovascular events. (105 citations)
  • Prostate Histopathology: Learning Tissue Component Histograms for Cancer Detection and Classification (77 citations)
  • Prostate Segmentation: An Efficient Convex Optimization Approach With Axial Symmetry Using 3-D TRUS and MR Images (60 citations)

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

  • Artificial intelligence
  • Internal medicine
  • Computer vision

Aaron Fenster mainly focuses on Artificial intelligence, Segmentation, Computer vision, Radiology and Magnetic resonance imaging. His work carried out in the field of Artificial intelligence brings together such families of science as Prostate biopsy and Pattern recognition. His work in Segmentation covers topics such as Carotid ultrasound which are related to areas like Myocardial infarction.

Aaron Fenster combines subjects such as Visualization, Metric and Convex optimization with his study of Computer vision. 3D ultrasound, Ultrasound and Tissue mimicking phantom are among the areas of Radiology where the researcher is concentrating his efforts. His research integrates issues of Spirometry, Prostate and Prostate cancer in his study of Magnetic resonance imaging.

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

Three-Dimensional Ultrasound Imaging

Aaron Fenster;Dónal B Downey;H Neale Cardinal.
Physics in Medicine and Biology (2001)

897 Citations

Intravenous delivery of a multi-mechanistic cancer-targeted oncolytic poxvirus in humans

Caroline J. Breitbach;James Burke;Derek Jonker;Derek Jonker;Joe Stephenson.
Nature (2011)

565 Citations

3-D ultrasound imaging: a review

A. Fenster;D.B. Downey.
IEEE Engineering in Medicine and Biology Magazine (1996)

554 Citations

A review of electronic portal imaging devices (EPIDs).

Arthur L. Boyer;Larry Antonuk;Aaron Fenster;Marcel Van Herk.
Medical Physics (1992)

428 Citations

Poly(vinyl alcohol) cryogel phantoms for use in ultrasound and MR imaging

K J M Surry;H J B Austin;Aaron Fenster;Aaron Fenster;Terry M Peters;Terry M Peters.
Physics in Medicine and Biology (2004)

383 Citations

Intraoperative ultrasound for guidance and tissue shift correction in image-guided neurosurgery.

Roch M. Comeau;Abbas F. Sadikot;Aaron Fenster;Terry M. Peters;Terry M. Peters.
Medical Physics (2000)

353 Citations

Three-dimensional imaging system

Aaron Fenster;Shane Dunne;Janpeter T. Larsen.
Journal of the Acoustical Society of America (1996)

337 Citations

Clinical Utility of Three-dimensional US

Dónal B. Downey;Aaron Fenster;Jacqueline C. Williams.
Radiographics (2000)

302 Citations

A wall-less vessel phantom for Doppler ultrasound studies

D.W. Rickey;P.A. Picot;P.A. Picot;D.A. Christopher;D.A. Christopher;A. Fenster.
Ultrasound in Medicine and Biology (1995)

292 Citations

3D Ultrasound Measurement of Change in Carotid Plaque Volume A Tool for Rapid Evaluation of New Therapies

Craig D. Ainsworth;Christopher C. Blake;Arturo Tamayo;Vadim Beletsky.
Stroke (2005)

289 Citations

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