Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Jonnalagadda, Aditya"'
Autor:
Jonnalagadda, Aditya, Barufaldi, Bruno B., Maidment, Andrew D. A., Weinstein, Susan P., Abbey, Craig K., Eckstein, Miguel P.
Model observers are computational tools to evaluate and optimize task-based medical image quality. Linear model observers, such as the Channelized Hotelling Observer (CHO), predict human accuracy in detection tasks with a few possible signal location
Externí odkaz:
http://arxiv.org/abs/2405.14720
Purpose: Radiologists are tasked with visually scrutinizing large amounts of data produced by 3D volumetric imaging modalities. Small signals can go unnoticed during the 3d search because they are hard to detect in the visual periphery. Recent advanc
Externí odkaz:
http://arxiv.org/abs/2405.00144
This research addresses the pressing challenge of enhancing processing times and detection capabilities in Unmanned Aerial Vehicle (UAV)/drone imagery for global wildfire detection, despite limited datasets. Proposing a Segmented Neural Network (SegN
Externí odkaz:
http://arxiv.org/abs/2405.00031
Many animals and humans process the visual field with a varying spatial resolution (foveated vision) and use peripheral processing to make eye movements and point the fovea to acquire high-resolution information about objects of interest. This archit
Externí odkaz:
http://arxiv.org/abs/2105.14173
Game publishers and anti-cheat companies have been unsuccessful in blocking cheating in online gaming. We propose a novel, vision-based approach that captures the final state of the frame buffer and detects illicit overlays. To this aim, we train and
Externí odkaz:
http://arxiv.org/abs/2103.10031
The problem of $\textit{visual metamerism}$ is defined as finding a family of perceptually indistinguishable, yet physically different images. In this paper, we propose our NeuroFovea metamer model, a foveated generative model that is based on a mixt
Externí odkaz:
http://arxiv.org/abs/1705.10041
Akademický článek
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Autor:
Welbourne, Lauren E.1,2,3 lauren.welbourne@york.ac.uk, Jonnalagadda, Aditya4, Giesbrecht, Barry1,2,5, Eckstein, Miguel P.1,2,4,5 miguel.eckstein@psych.ucsb.edu
Publikováno v:
Communications Biology. 6/22/2021, Vol. 4 Issue 1, p1-14. 14p.
Akademický článek
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Autor:
Samuelson, Frank W., Taylor-Phillips, Sian, Jonnalagadda, Aditya, Lago, Miguel A., Barufaldi, Bruno, Bakic, Predrag R., Abbey, Craig K., Maidment, Andrew D., Eckstein, Miguel P.
Publikováno v:
Proceedings of SPIE; 1/14/2020, Vol. 11316, p1131617-1131617, 1p