H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 54 Citations 10,724 231 World Ranking 2236 National Ranking 81
Electronics and Electrical Engineering H-index 55 Citations 9,800 128 World Ranking 801 National Ranking 44

Research.com Recognitions

Awards & Achievements

The Canadian Academy of Engineering

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Statistics

Septimiu E. Salcudean focuses on Control theory, Teleoperation, Haptic technology, Simulation and Artificial intelligence. His Control theory study incorporates themes from Stiffness and Position. Septimiu E. Salcudean has researched Teleoperation in several fields, including Control engineering, Excavator, Electrical impedance, Microsurgery and Robustness.

His study in Haptic technology is interdisciplinary in nature, drawing from both Boundary value problem, Finite element method, Feed forward, Planar and Joystick. His biological study spans a wide range of topics, including Biomechanics, Motion planning, Hydraulic machinery and Motion control. In his study, Ultrasound, Ultrasound probe and Ultrasonic sensor is inextricably linked to Computer vision, which falls within the broad field of Artificial intelligence.

His most cited work include:

  • Needle insertion modeling and simulation (414 citations)
  • Transparency in time-delayed systems and the effect of local force feedback for transparent teleoperation (307 citations)
  • Analysis of Control Architectures for Teleoperation Systems with Impedance/Admittance Master and Slave Manipulators (294 citations)

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

Septimiu E. Salcudean spends much of his time researching Artificial intelligence, Computer vision, Ultrasound, Control theory and Simulation. Septimiu E. Salcudean has included themes like Prostate cancer and Pattern recognition in his Artificial intelligence study. His Tracking study in the realm of Computer vision connects with subjects such as Interface.

His studies deal with areas such as Prostate brachytherapy, Brachytherapy, Imaging phantom and Biomedical engineering as well as Ultrasound. His research integrates issues of Control engineering and Robot, Teleoperation in his study of Control theory. His Simulation study focuses on Haptic technology in particular.

He most often published in these fields:

  • Artificial intelligence (29.27%)
  • Computer vision (22.28%)
  • Ultrasound (21.50%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (29.27%)
  • Computer vision (22.28%)
  • Ultrasound (21.50%)

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

His primary areas of study are Artificial intelligence, Computer vision, Ultrasound, Pattern recognition and Convolutional neural network. His research integrates issues of Magnetic resonance imaging and Prostate cancer in his study of Artificial intelligence. His Computer vision research incorporates elements of Endoscope, Prostate and Tomography.

His research in Ultrasound intersects with topics in Imaging phantom, Visualization, Fluoroscopy and Biomedical engineering. His studies deal with areas such as Region of interest, Transducer and Magnetic resonance elastography as well as Biomedical engineering. The study incorporates disciplines such as Deep learning and Saccadic masking in addition to Pattern recognition.

Between 2017 and 2021, his most popular works were:

  • A new era: artificial intelligence and machine learning in prostate cancer. (75 citations)
  • Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks (64 citations)
  • Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple experts. (43 citations)

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

  • Artificial intelligence
  • Computer vision
  • Statistics

Septimiu E. Salcudean mainly focuses on Artificial intelligence, Pattern recognition, Convolutional neural network, Segmentation and Digital pathology. His Artificial intelligence research is multidisciplinary, incorporating elements of Prostatectomy, Prostate cancer, Grading, Magnetic resonance imaging and Computer vision. Septimiu E. Salcudean has researched Computer vision in several fields, including Prostate, Ultrasound, Signal, Tomography and Transducer.

His work on Prostate brachytherapy as part of general Prostate study is frequently connected to Prior probability, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His work in Pattern recognition tackles topics such as Deep learning which are related to areas like Rotation, Small data, Dropout and Cluster analysis. He combines subjects such as Regularization and Hausdorff distance with his study of Segmentation.

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.

Top Publications

Needle insertion modeling and simulation

S.P. DiMaio;S.E. Salcudean.
international conference on robotics and automation (2003)

669 Citations

Transparency in time-delayed systems and the effect of local force feedback for transparent teleoperation

K. Hashtrudi-Zaad;S.E. Salcudean.
international conference on robotics and automation (2002)

449 Citations

Analysis of Control Architectures for Teleoperation Systems with Impedance/Admittance Master and Slave Manipulators

Keyvan Hashtrudi-Zaad;Septimiu E. Salcudean.
The International Journal of Robotics Research (2001)

428 Citations

Motion scaling tele-operating system with force feedback suitable for microsurgery

Septimiu Edmund Salcudean;Joseph Yan.
(1993)

389 Citations

Optical position and orientation sensor

Seputeimiyuu Ii Sarukudeiin.
(1991)

381 Citations

Image-guided control of a robot for medical ultrasound

P. Abolmaesumi;S.E. Salcudean;Wen-Hong Zhu;M.R. Sirouspour.
international conference on robotics and automation (2002)

364 Citations

A globally convergent angular velocity observer for rigid body motion

S. Salcudean.
IEEE Transactions on Automatic Control (1991)

328 Citations

Robotically assisted medical ultrasound

Septimiu E. Salcudean;Graham S. Bell;Peter D. Lawrence;Alexei Marko.
Journal of the Acoustical Society of America (1999)

312 Citations

Stability guaranteed teleoperation: an adaptive motion/force control approach

Wen-Hong Zhu;S.E. Salcudean.
IEEE Transactions on Automatic Control (2000)

286 Citations

On the Emulation of Stiff Walls and Static Friction With a Magnetically Levitated Input/Output Device

S. E. Salcudean;T. D. Vlaar.
Journal of Dynamic Systems Measurement and Control-transactions of The Asme (1997)

273 Citations

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

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