Zheng, Y., Leonard, G., Zeh, H., Fey, A.M. “Detetermining the Significant Kinematic Features for Characterizing Stress during Surgical Tasks Using Spatial Attention.” Journal of Medical Robotics Research, (2021) .
Battaglia E., Kasman, M. and Fey, A.M., “Moving Past Principal Component Analysis: Nonlinear Dimensionality Reduction Towards Better Hand Pose Synthesis,” 2022 International Symposium on Medical Robotics (ISMR), 2022.
Zheng, Y., Leonard, G., Zeh, H. Rege, R., Scott, G., Fey, A.M. “Frame-wise detection of surgeon stress levels during laparoscopic training using kinematic data.” Int J CARS 17, 785–794 (2022).
L. R. Reyes et al., “Towards Telementoring for Needle Insertion: Effects of Haptic and Visual Feedback on Mentor Perception of Trainee Forces,” 2022 IEEE Haptics Symposium (HAPTICS), 2022, pp. 1-7.
J. Madera, C. Peters and A. M. Fey, “A Novel Pulley-Based Simulator for Ureteroscopy with Visuo-Haptic Feedback,” 2022 IEEE Haptics Symposium (HAPTICS), 2022, pp. 1-6.
A. Galvan, A. Madan, M. Narayan, S. Kalva and A. M. Fey, “Design and Evaluation of a Soft Robotic Catheter Tip Prototype with Self-Propulsion and Shape Changeable Teleoperation,” 2021 International Symposium on Medical Robotics (ISMR), 2021, pp. 1-6.
Y. Zheng, G. Leonard, J. Tellez, H. Zeh and A. M. Fey, “Identifying Kinematic Markers Associated with Intraoperative Stress during Surgical Training Tasks,” 2021 International Symposium on Medical Robotics (ISMR), 2021, pp. 1-7.
M. Ershad, R. Rege and A. M. Fey, “Adaptive Surgical Robotic Training Using Real-Time Stylistic Behavior Feedback Through Haptic Cues,” in IEEE Transactions on Medical Robotics and Bionics, vol. 3, no. 4, pp. 959-969, Nov. 2021.
Battaglia, E., Mueller, B., Hogg, D., Rege, R., Scott, D., Fey, A.M. “Evaluation of Pre-Training with the da Vinci Skills Simulator on Motor Skills Acquisition in a Surgical Robots Curriculum.” Journal of Medical Robotics Research, (2021)
A.F. Galvan, K.A. Kho, J. Shields, A. Majewicz Fey, “Development of a Haptic Simulator for Laparoscopic Trocar Insertion Training,” Journal of Minimally Invasive Gynecology, Volume 28, Issue 11, Supplement, 2021, Pages S98-S99,
J. R. Boehm, N. P. Fey and A. M. Fey, “Online Recognition of Bimanual Coordination Provides Important Context for Movement Data in Bimanual Teleoperated Robots,” 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, pp. 6248-6255.
E. Battaglia and A. M. Fey, “cHand: Visualizing Hands in CHAI3D,” 2021 IEEE World Haptics Conference (WHC), 2021, pp. 354-354.
A. Galvan, A. K. Da Costa, J. Shields, K. Kho and A. M. Fey, “Haptic Simulator for Trocar Insertion Training,” 2021 IEEE World Haptics Conference (WHC), 2021, pp. 397-402.
Edoardo Battaglia, Jacob Boehm, Yi Zheng, Andrew R. Jamieson, Jeffrey Gahan, Ann Majewicz Fey, “Rethinking Autonomous Surgery: Focusing on Enhancement over Autonomy”, European Urology Focus, Volume 7, Issue 4, 2021, Pages 696-705.
K. G. Rabe, M. H. Jahanandish, J. R. Boehm, A. Majewicz Fey, K. Hoyt and N. P. Fey, “Ultrasound Sensing Can Improve Continuous Classification of Discrete Ambulation Modes Compared to Surface Electromyography,” in IEEE Transactions on Biomedical Engineering, vol. 68, no. 4, pp. 1379-1388, April 2021.
Leonard, Grey MD, Cao, Jing, Scielzo, Shannon, Zheng, Yi, Tellez, Juan, Zeh, Herbert J., Majewicz Fey, Ann. “The Effect of Stress and Conscientiousness on Simulated Surgical Performance in Unbalanced Groups: A Bayesian Hierarchical Model.” Journal of the American College of Surgeons (2020).
Ershad, Marzieh, Robert Rege, and Ann Majewicz Fey. “Adaptive Surgical Robotic Training Using Real-Time Stylistic Behavior Feedback Through Haptic Cues.” arXiv preprint arXiv:2101.00097 (2020).
Narayan, Meenakshi, and Ann Majewicz Fey. “A Novel Approach to Time Series Forecasting Using Model-Free Adaptive Control Framework.” In Dynamic Systems and Control Conference, vol. 84270, p. V001T12A002. American Society of Mechanical Engineers, 2020.
Boehm, Jacob R., Nicholas P. Fey, and Ann Majewicz. “Inherent Kinematic Features of Dynamic Bimanual Path Following Tasks.” IEEE Transactions on Human-Machine Systems 50, no. 6 (2020): 613-622.
Boehm, Jacob R., Nicholas P. Fey, and Ann Majewicz Fey. “Effects of scaling and sequence on performance of dynamic bimanual path following tasks.” Journal of Medical Robotics Research (2020): 2042001.
Narayan, Meenakshi, and Ann Majewicz Fey. “Developing a novel force forecasting technique for early prediction of critical events in robotics.” PloS one 15, no. 5 (2020): e0230009.
Wang, Ziheng, Michael Kasman, Marco Martinez, Robert Rege, Herbert Zeh, Daniel Scott, and Ann Majewicz Fey. “A Comparative Human-Centric Analysis of Virtual Reality and Dry Lab Training Tasks on the da Vinci Surgical Platform.” Journal of Medical Robotics Research 4, no. 03n04 (2019): 1942007.
Wang, Ziheng, Cong Feng, Jie Zhang, and Ann Majewicz Fey. “Transferrable Operative Difficulty Assessment in Robot-assisted Teleoperation: A Domain Adaptation Approach.” arXiv preprint arXiv:1906.04934 (2019).
Narayan, Meenakshi, Michael A. Choti, and Ann Majewicz Fey. “Data-driven detection of needle buckling events in robotic needle steering.” Journal of Medical Robotics Research 4, no. 02 (2019): 1850005.
Ershad, Marzieh, Robert Rege, and Ann Majewicz Fey. “Automatic and near real-time stylistic behavior assessment in robotic surgery.” International journal of computer assisted radiology and surgery 14, no. 4 (2019): 635-643.
A full list can be found here: