Austin Reiter, Ph.D.
Affiliations: | 2013 | Computer Science | Columbia University, New York, NY |
Area:
Robotics, Vision, 3-D ModelingGoogle:
"Austin Reiter"Cross-listing: Robotree
Parents
Sign in to add mentorPeter Kirby Allen | grad student | 2013 | Columbia | |
(Assistive Visual Tools For Surgery.) |
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Publications
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Nair AA, Washington KN, Tran TD, et al. (2020) Deep learning to obtain simultaneous image and segmentation outputs from a single input of raw ultrasound channel data. Ieee Transactions On Ultrasonics, Ferroelectrics, and Frequency Control |
Li X, Sinha A, Ishii M, et al. (2019) Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods. Ieee Transactions On Medical Imaging |
Sinha A, Billings SD, Reiter A, et al. (2019) The deformable most-likely-point paradigm. Medical Image Analysis. 55: 148-164 |
Leonard S, Sinha A, Reiter A, et al. (2018) Evaluation and Stability Analysis of Video-Based Navigation System for Functional Endoscopic Sinus Surgery on In-Vivo Clinical Data. Ieee Transactions On Medical Imaging |
Allman D, Reiter A, Bell MAL. (2018) Photoacoustic Source Detection and Reflection Artifact Removal Enabled by Deep Learning. Ieee Transactions On Medical Imaging. 37: 1464-1477 |
Reiter A, Bell MAL. (2017) A machine learning approach to identifying point source locations in photoacoustic data Proceedings of Spie. 10064 |
Sinha A, Leonard S, Reiter A, et al. (2016) Automatic segmentation and statistical shape modeling of the paranasal sinuses to estimate natural variations. Proceedings of Spie--the International Society For Optical Engineering. 9784 |
Leonard S, Reiter A, Sinha A, et al. (2016) Image-Based Navigation for Functional Endoscopic Sinus Surgery Using Structure From Motion. Proceedings of Spie--the International Society For Optical Engineering. 9784 |
Reiter A, Leonard S, Sinha A, et al. (2016) Endoscopic-CT: Learning-based photometric reconstruction for endoscopic sinus surgery Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9784 |
Otake Y, Leonard S, Reiter A, et al. (2015) Rendering-Based Video-CT Registration with Physical Constraints for Image-Guided Endoscopic Sinus Surgery. Proceedings of Spie--the International Society For Optical Engineering. 9415 |