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Hossein Mohamadipanah
Hossein Mohamadipanah
Senior Research Engineer at Stanford University
Verified email at stanford.edu
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Cited by
Cited by
Year
Can a virtual reality assessment of fine motor skill predict successful central line insertion?
H Mohamadipanah, C Parthiban, J Nathwani, D Rutherford, S DiMarco, ...
The American Journal of Surgery 212 (4), 573-578. e1, 2016
182016
Multimodal cardiopulmonary bypass skills assessment within a high-fidelity simulation environment
JL Hermsen, H Mohamadipanah, S Yang, B Wise, A Fiedler, P DiMusto, ...
The Annals of Thoracic Surgery 112 (2), 652-660, 2021
122021
Hand Smoothness in Laparoscopic Surgery Correlates to Psychomo-tor Skills in Virtual Reality
H Mohamadipanah, C Parthiban, K Law, J Nathwani, L Maulson, ...
13th International Conference on Wearable and Implantable Body Sensor Networks, 2016
102016
Combining metrics from clinical simulators and sensorimotor tasks can reveal the training background of surgeons
FC Huang, H Mohamadipanah, FA Mussa-Ivaldi, CM Pugh
IEEE Transactions on Biomedical Engineering 66 (9), 2576-2584, 2019
92019
Shortcut assessment: Can residents’ operative performance be determined in the first five minutes of an operative task?
H Mohamadipanah, J Nathwani, K Peterson, K Forsyth, L Maulson, ...
Surgery 163 (6), 1207-1212, 2018
92018
Translating motion tracking data into resident feedback: An opportunity for streamlined video coaching
KH Perrone, S Yang, H Mohamadipanah, B Wise, A Witt, C Goll, C Pugh
The American Journal of Surgery 219 (4), 552-556, 2020
82020
Effects of texture addition on optical flow performance in images with poor texture
M Andalibi, LL Hoberock, H Mohamadipanah
Image and Vision Computing 40, 1-15, 2015
82015
Collaborative goal and policy learning from human operators of construction co-robots
H Maske, M Matthews, A Axelrod, H Mohamadipanah, G Chowdhary, ...
Neural Information Processing Systems (NIPS), 2014
82014
Residents' surgical performance during the laboratory years: an analysis of rule-based errors
JN Nathwani, BJ Wise, ME Garren, H Mohamadipanah, N Van Beek, ...
journal of surgical research 219, 226-231, 2017
72017
Use of sensors to quantify procedural idle time: Validity evidence for a new mastery metric
KH Perrone, S Yang, B Wise, A Witt, C Goll, S Dawn, W Eichhorn, ...
Surgery 167 (4), 693-698, 2020
62020
Screening surgical residents’ laparoscopic skills using virtual reality tasks: Who needs more time in the sim lab?
H Mohamadipanah, KH Perrone, J Nathwani, C Parthiban, K Peterson, ...
Surgery 166 (2), 218-222, 2019
62019
Performance assessment using sensor technology
H Mohamadipanah, B Wise, A Witt, C Goll, S Yang, C Perumalla, ...
Journal of surgical oncology 124 (2), 200-215, 2021
52021
Sensors and psychomotor metrics: a unique opportunity to close the gap on surgical processes and outcomes
H Mohamadipanah, KH Perrone, K Peterson, J Nathwani, F Huang, ...
ACS Biomaterials Science & Engineering 6 (5), 2630-2640, 2020
52020
Is Indecisiveness Linked to Hand Movements in Performing Laparoscopic Ventral Hernia Repair?
H Mohamadipanah, C Parthiban, L Maulson, S Laufer, D Rutherford, ...
1th International Workshop on Surgical Data Science, 2016
52016
Do Individual Surgeon Preferences Affect Procedural Outcomes?
H Mohamadipanah, CA Perumalla, LDE Kearse, S Yang, BJ Wise, ...
Annals of Surgery 276 (4), 701-710, 2022
42022
The Surgical Metrics Project: what was achieved, and where is it headed
C Pugh, C Goll, A Witt, H Mohamadipanah, B Wise
Bulletin of the American College of Surgeons website. July 21, 2020
42020
Dynamic visual feedback during junctional tourniquet training
J Xu, C Kwan, A Sunkara, H Mohamadipanah, K Bell, M Tizale, CM Pugh
Journal of Surgical Research 233, 444-452, 2019
42019
Design and Analysis of a Novel 8-DOF Hybrid Manipulator
H Mohamadipanah, H Zohoor
World Academy of Science, Engineering and Technology 3 (34), 231-237, 2009
42009
Generating Rare Surgical Events Using CycleGAN: Addressing Lack of Data for Artificial Intelligence Event Recognition
H Mohamadipanah, LD Kearse, B Wise, L Backhus, C Pugh
Journal of Surgical Research 283, 594-605, 2023
32023
Can deep learning algorithms help identify surgical workflow and techniques?
H Mohamadipanah, LD Kearse, A Witt, B Wise, S Yang, C Goll, C Pugh
Journal of Surgical Research 268, 318-325, 2021
32021
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