Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Austin Reiter

Showing results (1-10 of 14) with videos related to

Pageof 2
Sort By:
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Feature classification for tracking articulated surgical toolsAustin Reiter, Peter K Allen, Tao Zhao
IEEE Transactions on Medical Imaging|June 6, 2018
Photoacoustic Source Detection and Reflection Artifact Removal Enabled by Deep LearningDerek Allman, Austin Reiter, Muyinatu A Lediju Bell
Computer-Assisted and Robotic Endoscopy : First International Workshop, CARE 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014 : Revised Selected Papers. CARE (Workshop) (1St : 2014 : Boston, Mass.)|November 6, 2015
Is Multi-model Feature Matching Better for Endoscopic Motion Estimation?Xiang Xiang, Daniel Mirota, Austin Reiter, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 25, 2017
Process Monitoring in the Intensive Care Unit: Assessing Patient Mobility Through Activity Analysis with a Non-Invasive Mobility SensorAustin Reiter, Andy Ma, Nishi Rawat, et al.
Proceedings of Spie--The International Society for Optical Engineering|December 15, 2017
Automatic segmentation and statistical shape modeling of the paranasal sinuses to estimate natural variationsAyushi Sinha, Simon Leonard, Austin Reiter, et al.
Proceedings of Spie--The International Society for Optical Engineering|December 12, 2017
Image-Based Navigation for Functional Endoscopic Sinus Surgery Using Structure From MotionSimon Leonard, Austin Reiter, Ayushi Sinha, et al.
Critical Care Medicine|June 5, 2019
Comparison of Automated Activity Recognition to Provider Observations of Patient Mobility in the ICUNishi Rawat, Vishal Rao, Michael Peven, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|May 13, 2020
Deep Learning to Obtain Simultaneous Image and Segmentation Outputs From a Single Input of Raw Ultrasound Channel DataArun Asokan Nair, Kendra N Washington, Trac D Tran, et al.
IEEE Transactions on Medical Imaging|November 6, 2019
Dense Depth Estimation in Monocular Endoscopy With Self-Supervised Learning MethodsXingtong Liu, Ayushi Sinha, Masaru Ishii, et al.
Medical Image Analysis|May 12, 2019
The deformable most-likely-point paradigmAyushi Sinha, Seth D Billings, Austin Reiter, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Feature classification for tracking articulated surgical toolsAustin Reiter, Peter K Allen, Tao Zhao
IEEE Transactions on Medical Imaging|June 6, 2018
Photoacoustic Source Detection and Reflection Artifact Removal Enabled by Deep LearningDerek Allman, Austin Reiter, Muyinatu A Lediju Bell
Computer-Assisted and Robotic Endoscopy : First International Workshop, CARE 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014 : Revised Selected Papers. CARE (Workshop) (1St : 2014 : Boston, Mass.)|November 6, 2015
Is Multi-model Feature Matching Better for Endoscopic Motion Estimation?Xiang Xiang, Daniel Mirota, Austin Reiter, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 25, 2017
Process Monitoring in the Intensive Care Unit: Assessing Patient Mobility Through Activity Analysis with a Non-Invasive Mobility SensorAustin Reiter, Andy Ma, Nishi Rawat, et al.
Proceedings of Spie--The International Society for Optical Engineering|December 15, 2017
Automatic segmentation and statistical shape modeling of the paranasal sinuses to estimate natural variationsAyushi Sinha, Simon Leonard, Austin Reiter, et al.
Proceedings of Spie--The International Society for Optical Engineering|December 12, 2017
Image-Based Navigation for Functional Endoscopic Sinus Surgery Using Structure From MotionSimon Leonard, Austin Reiter, Ayushi Sinha, et al.
Critical Care Medicine|June 5, 2019
Comparison of Automated Activity Recognition to Provider Observations of Patient Mobility in the ICUNishi Rawat, Vishal Rao, Michael Peven, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|May 13, 2020
Deep Learning to Obtain Simultaneous Image and Segmentation Outputs From a Single Input of Raw Ultrasound Channel DataArun Asokan Nair, Kendra N Washington, Trac D Tran, et al.
IEEE Transactions on Medical Imaging|November 6, 2019
Dense Depth Estimation in Monocular Endoscopy With Self-Supervised Learning MethodsXingtong Liu, Ayushi Sinha, Masaru Ishii, et al.
Medical Image Analysis|May 12, 2019
The deformable most-likely-point paradigmAyushi Sinha, Seth D Billings, Austin Reiter, et al.
Pageof 2