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Journal of Robotic Surgery|July 16, 2021
Deep neural networks are effective tools for assessing performance during surgical trainingRoger Smith, Danielle Julian, Ariel DubinThe International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS|September 12, 2019
Developing an intelligent tutoring system for robotic-assisted surgery instructionDanielle Julian, Roger SmithSurgical Endoscopy|February 7, 2018
A model for predicting the GEARS score from virtual reality surgical simulator metricsAriel Kate Dubin, Danielle Julian, Alyssa Tanaka, et al.Journal of Minimally Invasive Gynecology|August 1, 2017
A Comparison of Robotic Simulation Performance on Basic Virtual Reality Skills: Simulator Subjective Versus Objective Assessment ToolsAriel K Dubin, Roger Smith, Danielle Julian, et al.The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS|November 11, 2017
A comparative analysis and guide to virtual reality robotic surgical simulatorsDanielle Julian, Alyssa Tanaka, Patricia Mattingly, et al.International Journal of STEM Education|January 12, 2019
Development and application of a multi-modal task analysis to support intelligent tutoring of complex skillsAnna Skinner, David Diller, Rohit Kumar, et al.Journal of Robotic Surgery|December 4, 2018
Design methodology for a simulator of a robotic surgical systemDanielle L Julian, Roger D Smith, Alyssa D S Tanaka, et al.Consortium Psychiatricum|July 24, 2024
Formation of a New Paradigm of Social Interaction: On Touching and on not TouchingRoger SmithJournal of the History of the Behavioral Sciences|December 4, 2018
The muscular sense in Russia: I. M. Sechenov and materialist realismRoger SmithScience Translational Medicine|December 25, 2015
Reapplying the uterine brake in preterm laborRoger SmithPageof 38