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Septimiu E. Salcudean

Septimiu E. Salcudean

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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
76
Citations
18657
World Ranking
1361
National Ranking
46

Electronics and Electrical Engineering

D-Index
75
Citations
19255
World Ranking
687
National Ranking
41

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Septimiu E. Salcudean is affiliated with the University of British Columbia in Canada. Their research spans multiple disciplines, including engineering, medicine, and computer science, with a focus on the integration of technology and medical applications.

Their main fields of study include:

  • Engineering
  • Medicine
  • Computer Science

More specialized subfields within these areas cover biomedical engineering, computer vision and pattern recognition, radiology, nuclear medicine and imaging, surgery, and aerospace engineering.

  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Surgery
  • Aerospace Engineering

Their research topics highlight intersections of robotics and medical imaging technologies. Key topics include surgical simulation and training, photoacoustic and ultrasonic imaging, soft robotics, ultrasound imaging and elastography, augmented reality applications, robotics and sensor-based localization, and prostate cancer diagnosis and treatment.

  • Surgical Simulation and Training
  • Photoacoustic and Ultrasonic Imaging
  • Soft Robotics and Applications
  • Ultrasound Imaging and Elastography
  • Augmented Reality Applications
  • Robotics and Sensor-Based Localization
  • Prostate Cancer Diagnosis and Treatment

Salcudean has published extensively across several venues. Their most frequent publication outlets include arXiv, the International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Medical Imaging, Medical Image Analysis, and IEEE Robotics and Automation Letters.

  • arXiv (Cornell University)
  • International Journal of Computer Assisted Radiology and Surgery
  • IEEE Transactions on Medical Imaging
  • Medical Image Analysis
  • IEEE Robotics and Automation Letters

Some recent papers authored or coauthored by Salcudean illustrate the scope of their research interests and influence:

  • Robot-Assisted Medical Imaging: A Review, 2022, Proceedings of the IEEE
  • Artificial intelligence meets medical robotics, 2023, Science
  • Robotic ultrasound imaging: State-of-the-art and future perspectives, 2023, Medical Image Analysis
  • Multi-view 3D Reconstruction with Transformers, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Enhancement of needle visualization and localization in ultrasound, 2020, International Journal of Computer Assisted Radiology and Surgery

Collaborations form a significant part of Salcudean's work. Frequent coauthors include Robert Rohling, Adam Schmidt, Qi Zeng, Tajwar Abrar Aleef, and David Black.

  • Robert Rohling
  • Adam Schmidt
  • Qi Zeng
  • Tajwar Abrar Aleef
  • David Black

Salcudean has been recognized by professional organizations such as The Canadian Academy of Engineering.

Best Publications

  • Needle insertion modeling and simulation

    S.P. DiMaio;S.E. Salcudean

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

    K. Hashtrudi-Zaad;S.E. Salcudean

  • A new era: artificial intelligence and machine learning in prostate cancer.

    S Larry Goldenberg;Guy Nir;Septimiu E Salcudean

  • Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks

    Davood Karimi;Septimiu E. Salcudean

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

    Keyvan Hashtrudi-Zaad;Septimiu E. Salcudean

  • Image-guided control of a robot for medical ultrasound

    P. Abolmaesumi;S.E. Salcudean;Wen-Hong Zhu;M.R. Sirouspour

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

    Septimiu Edmund Salcudean;Joseph Yan

  • A globally convergent angular velocity observer for rigid body motion

    S. Salcudean

  • Needle steering and motion planning in soft tissues

    S.P. DiMaio;S.E. Salcudean

  • Stability guaranteed teleoperation: an adaptive motion/force control approach

    Wen-Hong Zhu;S.E. Salcudean

  • Interactive simulation of needle insertion models

    S.P. DiMaio;S.E. Salcudean

  • On the use of local force feedback for transparent teleoperation

    K. Hastrudi-Zaad;S.E. Salcudean

  • Input-output system for computer user interface using active magnetic levitation

    Ralph L. Hollis;Septimiu E. Salcudean

  • Velocity controller with force feedback stiffness control

    Niall R. Parker;Peter D. Lawrence;Septimiu E. Salcudean

  • Motion Estimation in Ultrasound Images Using Time Domain Cross Correlation With Prior Estimates

    R. Zahiri-Azar;S.E. Salcudean

  • Robotically assisted medical ultrasound

    Septimiu E. Salcudean;Graham S. Bell;Peter D. Lawrence;Alexei Marko

  • Hand-held steerable needle device

    S. Okazawa;R. Ebrahimi;J. Chuang;S.E. Salcudean

  • A six-degree-of-freedom magnetically levitated variable compliance fine-motion wrist: design, modeling, and control

    R.L. Hollis;S.E. Salcudean;A.P. Allan

  • Teleoperation controller design using H/sub /spl infin//-optimization with application to motion-scaling

    J. Yan;S.E. Salcudean

  • Hand-Held Steerable Needle Device

    Richelle Ebrahimi;Stephen H. Okazawa;Robert Rohling;Septimiu E. Salcudean

  • Nonlinear control of hydraulic robots

    M.R. Sirouspour;S.E. Salcudean

Frequent Co-Authors

Robert Rohling
Robert Rohling University of British Columbia
Purang Abolmaesumi
Purang Abolmaesumi University of British Columbia
Peter D. Lawrence
Peter D. Lawrence University of British Columbia
Keyvan Hashtrudi-Zaad
Keyvan Hashtrudi-Zaad Queen's University
Ralph L. Hollis
Ralph L. Hollis Carnegie Mellon University
Gabor Fichtinger
Gabor Fichtinger Queen's University
Elizabeth A. Croft
Elizabeth A. Croft Monash University
Pingkun Yan
Pingkun Yan Rensselaer Polytechnic Institute
Maud Marchal
Maud Marchal French Institute for Research in Computer Science and Automation - INRIA
Lutz Lampe
Lutz Lampe University of British Columbia

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