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Rajat Agarwala
Rajat Agarwala
PhD Student, University of Tübingen, ZEISS Vision Science Lab
Verified email at uni-tuebingen.de
Title
Cited by
Cited by
Year
Direct modeling of foveal pit morphology from distortion-corrected OCT images
K Breher, R Agarwala, A Leube, S Wahl
Biomedical optics express 10 (9), 4815-4824, 2019
92019
Evaluation of a liquid membrane-based tunable lens and a solid-state LIDAR camera feedback system for presbyopia
R Agarwala, OL Sanz, IP Seitz, FF Reichel, S Wahl
Biomedical Optics Express 13 (11), 5849-5859, 2022
72022
Utilizing minicomputer technology for low-cost photorefraction: a feasibility study
R Agarwala, A Leube, S Wahl
Biomedical Optics Express 11 (11), 6108-6121, 2020
42020
Feasibility of eye tracking to control a prototype for presbyopia correction with focus tunable lenses
R Agarwala, M Dechant, Y Sauer, S Wahl
Investigative Ophthalmology & Visual Science 64 (8), 2503-2503, 2023
32023
Context matters during pick-and-place in VR: Impact on search and transport phases
O Lukashova-Sanz, R Agarwala, S Wahl
Frontiers in Psychology 13, 881269, 2022
22022
How to Tune Autofocals: A Comparative Study of Advanced Tuning Methods
BW Hosp, Y Sauer, B Severitt, R Agarwala, S Wahl
arXiv preprint arXiv:2312.00685, 2023
12023
Simulation Tool for Optical Systems: Evaluating and Optimizing Autofocals and Beyond
B Hosp, Y Sauer, R Agarwala, S Wahl
12023
VisionaryVR: An Optical Simulation Tool for Evaluating and Optimizing Vision Correction Solutions in Virtual Reality
BW Hosp, M Dechant, Y Sauer, B Severitt, R Agarwala, S Wahl
Sensors 24 (8), 2458, 2024
2024
Agreement and repeatability of the assessment of central corneal thickness using a novel optical coherence based biometer
A Leube, R Agarwala, S Wahl
Investigative Ophthalmology & Visual Science 60 (9), 2126-2126, 2019
2019
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