Shlomi Laufer

Dr. Shlomi Laufer


Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
24 June 2010 in Physiological Measurement
Verified
Journal Article
Closed access
SLShlomi Laufer
Shlomi Laufer
AIAntoni Ivorra
Antoni Ivorra
VRVictor E Reuter
Victor E Reuter
BRBoris Rubinsky
Boris Rubinsky
SSStephen B Solomon
Stephen B Solomon
The four-electrode method was used to measure the ex vivo complex electrical impedance of tissues from 14 hepatic tumors and the surrounding normal liver from six patients. Measurements were done in the frequency range 1-400 kHz. It was found that the conductivity of the tumor tissue was much higher than that of the normal liver tissue in this frequency range (from 0.14 +/- 0.06 S m(-1) versus 0.03 +/- 0.01 S m(-1) at 1 kHz to 0.25 +/- 0.06 S m(-1) versus 0.15 +/- 0.03 S m(-1) at 400 kHz). The Cole-Cole models were estimated from the experimental data and the four parameters (rho(0), rho(infinity), alpha, f(c)) were obtained using a least-squares fit algorithm. The Cole-Cole parameters for the cancerous and normal liver are 9 +/- 4 Omega m(-1), 2.2 +/- 0.7 Omega m(-1), 0.5 +/- 0.2, 140 +/- 103 kHz and 50 +/- 28 Omega m(-1), 3.2 +/- 0.6 Omega m(-1), 0.64 +/- 0.04, 10 +/- 7 kHz, respectively. These data can contribute to developing bioelectric applications for tissue diagnostics and in tissue treatment planning with electrical fields such as radiofrequency tissue ablation, electrochemotherapy and gene therapy with reversible electroporation, nanoscale pulsing and irreversible electroporation.

1 April 2015 in The American Journal of Surgery
Verified
Journal Article
Closed access
ADAnne-Lise D. D'ANgelo
Anne-Lise D. D'ANgelo
DRDrew N. Rutherford
Drew N. Rutherford
RRRebecca D. Ray
Rebecca D. Ray
SLShlomi Laufer
Shlomi Laufer
CKCalvin Kwan
Calvin Kwan
CPCarla M. Pugh
Carla M. Pugh

1 February 2022 in International Journal of Computer Assisted Radiology and Surgery
Verified
Journal Article
Closed access
PDF file
AGAdam Goldbraikh
Adam Goldbraikh
ADAnne-Lise D’aNgelo
Anne-Lise D’aNgelo
CPCarla M. Pugh
Carla M. Pugh
SLShlomi Laufer
Shlomi Laufer

1 January 2015 in The American Journal of Surgery
Verified
Journal Article
Closed access
ADAnne-Lise D. D'ANgelo
Anne-Lise D. D'ANgelo
ECElaine R. Cohen
Elaine R. Cohen
CKCalvin Kwan
Calvin Kwan
SLShlomi Laufer
Shlomi Laufer
CGCaprice Greenberg
Caprice Greenberg
CPCarla M. Pugh
Carla M. Pugh

11 November 2015 in The American Journal of Surgery
Verified
Journal Article
Closed access
PDF file
ADAnne-Lise D. D'Angelo
Anne-Lise D. D'Angelo
DRDrew N. Rutherford
Drew N. Rutherford
RRRebecca D. Ray
Rebecca D. Ray
SLShlomi Laufer
Shlomi Laufer
AMAndrea Mason
Andrea Mason
CPCarla M. Pugh
Carla M. Pugh

19 February 2015 in New England Journal of Medicine
Verified
Journal Article
Closed access
SLShlomi Laufer
Shlomi Laufer
ECElaine R. Cohen
Elaine R. Cohen
CKCalvin Kwan
Calvin Kwan
ADAnne-Lise D. D'ANgelo
Anne-Lise D. D'ANgelo
RYRachel Yudkowsky
Rachel Yudkowsky
CPCarla M. Pugh
Carla M. Pugh
To the Editor: Clinical-skills assessments provide motivation and direction for learning.1,2 Adoption of simulation-based education methods has introduced a wide variety of options for clinical-performance assessment.3,4 To explore the potential value added by integrating sensor technology with a skills assessment, this study investigated whether sensor data could inform previously accepted observation-based performance recommendations for the clinical breast examination (CBE).5 We hypothesized that sensor technology would help to characterize successful and unsuccessful CBE techniques at a level of detail that is not possible with observation alone.The study protocol was administered in 2013 and 2014 and required practicing physicians . . .