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Publication search results
found 15 matches
- 2024
- Erim Yanik, Steven D. Schwaitzberg, Gene Yang, Xavier Intes, Jack Norfleet, Matthew Hackett, Suvranu De:
One-shot skill assessment in high-stakes domains with limited data via meta learning. Comput. Biol. Medicine 174: 108470 (2024) - Jean-Paul Ainam, Erim Yanik, Rahul Rahul, Taylor Kunkes, Lora Cavuoto, Brian Clemency, Kaori Tanaka, Matthew Hackett, Jack Norfleet, Suvranu De:
Deep Learning for Video-Based Assessment of Endotracheal Intubation Skills. CoRR abs/2404.11727 (2024) - 2022
- Pushpinder Walia, Yaoyu Fu, Jack Norfleet, Steven D. Schwaitzberg, Xavier Intes, Suvranu De, Lora Cavuoto, Anirban Dutta:
Error-related brain state analysis using electroencephalography in conjunction with functional near-infrared spectroscopy during a complex surgical motor task. Brain Informatics 9(1): 29 (2022) - Pushpinder Walia, Yaoyu Fu, Jack Norfleet, Steven D. Schwaitzberg, Xavier Intes, Suvranu De, Lora Cavuoto, Anirban Dutta:
Error related fNIRS-EEG microstate analysis during a complex surgical motor task. EMBC 2022: 941-944 - Sangrock Lee, Rahul, James Lukan, Tatiana Boyko, Kateryna Zelenova, Basiel Makled, Conner Parsey, Jack Norfleet, Suvranu De:
A deep learning model for burn depth classification using ultrasound imaging. CoRR abs/2203.15879 (2022) - 2021
- Anil Kamat, Basiel Makled, Jack Norfleet, Xavier Intes, Anirban Dutta, Suvranu De:
Brain network effects related to physical and virtual surgical training revealed by Granger causality. EMBC 2021: 1014-1017 - Anirban Dutta, Anil Kamat, Basiel Makled, Jack Norfleet, Xavier Intes, Suvranu De:
Interhemispheric Functional Connectivity in the Primary Motor Cortex Distinguishes Between Training on a Physical and a Virtual Surgical Simulator. MICCAI (4) 2021: 636-644 - Erim Yanik, Xavier Intes, Uwe Kruger, Pingkun Yan, David Miller, Brian Van Voorst, Basiel Makled, Jack Norfleet, Suvranu De:
Deep Neural Networks for the Assessment of Surgical Skills: A Systematic Review. CoRR abs/2103.05113 (2021) - 2019
- Trevor K. Stephens, John J. O'Neill, Nathan J. Kong, Mark V. Mazzeo, Jack Norfleet, Robert M. Sweet, Timothy M. Kowalewski:
Conditions for reliable grip force and jaw angle estimation of da Vinci surgical tools. Int. J. Comput. Assist. Radiol. Surg. 14(1): 117-127 (2019) - Michael A. Xynidis, Brian F. Goldiez, Jack Norfleet, Nina Rothstein:
Methodology for quantitative assessment of combat casualty care. Simul. 95(4) (2019) - 2016
- Yunhe Shen, David Hananel, Zichen Zhao, Daniel Burke, Crist Ballas, Jack Norfleet, Troy Reihsen, Robert M. Sweet:
A New Design for Airway Management Training with Mixed Reality and High Fidelity Modeling. MMVR 2016: 359-362 - 2015
- Brian R. VanVoorst, Matthew Hackett, Catherine Strayhorn, Jack Norfleet, Erin Honold, Nick Walczak, Jon Schewe:
Fusion of LIDAR and video cameras to augment medical training and assessment. MFI 2015: 345-350 - 2003
- Larry S. Davis, Jannick P. Rolland, Felix G. Hamza-Lup, Yonggang Ha, Jack Norfleet, Beth Pettitt, Celina Imielinska:
Enabling a Continuum of Virtual Environment Experiences. IEEE Computer Graphics and Applications 23(2): 10-12 (2003) - Anand P. Santhanam, Sumanta N. Pattanaik, Jannick P. Rolland, Celina Imielinska, Jack Norfleet:
Physiologically-Based Modeling and Visualization of Deformable Lungs. PG 2003: 507- - 2002
- Jannick P. Rolland, Catherine Meyer, Larry S. Davis, Felix G. Hamza-Lup, Jack Norfleet, Celina Imielinska, Karen F. Kerner:
Merging augmented reality and anatomically correct 3D models in the development of a training tool for endotracheal intubation. ISBI 2002: 895-898
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