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Septimiu E. Salcudean

Researcher at University of British Columbia

Publications -  440
Citations -  15689

Septimiu E. Salcudean is an academic researcher from University of British Columbia. The author has contributed to research in topics: Imaging phantom & Elastography. The author has an hindex of 64, co-authored 399 publications receiving 14100 citations. Previous affiliations of Septimiu E. Salcudean include University of California, Berkeley & IBM.

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Journal ArticleDOI

The effects of physical constraints in laparoscopic surgery.

TL;DR: It is shown that avoiding reversed hand and tool motions and adding DOFs significantly improves suturing performance, and the marginal benefit to overall surgical time of adding two additional degrees of freedom is likely to be small, although surgeons may then feel confident in attempting more difficult procedures.
Proceedings ArticleDOI

A retrofit eye gaze tracker for the da Vinci and its integration in task execution using the da Vinci Research Kit

TL;DR: A novel eye gaze tracker that can be integrated as a simple retrofit to the da Vinci console and used with the dVRK to control the patient side manipulators, and is demonstrated to perform a gaze-assisted task.
Journal ArticleDOI

Model-based registration of ex vivo and in vivo MRI of the prostate using elastography

TL;DR: A novel registration method is proposed that uses a patient-specific biomechanical model acquired using magnetic resonance elastography to deform the in vivo volume and match it to the surface of the ex vivo specimen, and shows that inhomogeneity improves the registration results by providing a physical regularization of the deformation map.
Journal ArticleDOI

Registration of 3D Ultrasound Through an Air–Tissue Boundary

TL;DR: A new method for registering three-dimensional ultrasound (3DUS) data to external coordinate systems is evaluated and may be useful in the future in augmented reality systems for laparoscopic and robotic-assisted surgery.
Book ChapterDOI

SWTV-ACE: Spatially Weighted Regularization Based Attenuation Coefficient Estimation Method for Hepatic Steatosis Detection

TL;DR: A spatially weighted total variation regularization based method for measuring the ultrasonic attenuation coefficient estimate (ACE) and the equivalence of SWTV-ACE with MRI proton density fat fraction shows the potential of the proposed method to be a point-of-care tool for hepatic steatosis detection.