Keyword

image processing pipeline

Description: An image processing pipeline is an ordered sequence of computational stages that transforms image data from acquisition through analysis or output.

Primary topic: Cell Image Analysis Techniques (24%)

OpenAlex ID: keywords/image-processing-pipeline

CellProfiler 3.0: Next-generation image processing for biology

2018 · Claire McQuin, Allen Goodman, et al. · PLoS Biology · 1,830

Survey of Pedestrian Detection for Advanced Driver Assistance Systems

2009 · David Gerónimo, Antonio M López, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 974

Halide

2013 · Jonathan Ragan-Kelley, Connelly Barnes, et al. · Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation · 885

Appion: An integrated, database-driven pipeline to facilitate EM image processing

2009 · Gabriel C. Lander, Scott M. Stagg, et al. · Journal of Structural Biology · 836

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Automatic "pipeline" analysis of 3-D MRI data for clinical trials: application to multiple sclerosis

2002 · A.P. Zijdenbos, R. Forghani, et al. · IEEE Transactions on Medical Imaging · 761

Fast and Accurate Detection and Classification of Plant Diseases

2011 · H. Al Hiary, S. Bani Ahmad, et al. · International Journal of Computer Applications · 647

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Second data release of the Hyper Suprime-Cam Subaru Strategic Program

2019 · Hiroaki Aihara, Yusra AlSayyad, et al. · Publications of the Astronomical Society of Japan · 515

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Halide

2013 · Jonathan Ragan-Kelley, Connelly Barnes, et al. · ACM SIGPLAN Notices · 513

Unprocessing Images for Learned Raw Denoising

2019 · Tim Brooks, Ben Mildenhall, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 490

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Color image processing pipeline

2005 · R. Ramanath, W.E. Snyder, et al. · IEEE Signal Processing Magazine · 369

Third data release of the Hyper Suprime-Cam Subaru Strategic Program

2021 · Hiroaki Aihara, Yusra AlSayyad, et al. · Publications of the Astronomical Society of Japan · 360

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HTPheno: An image analysis pipeline for high-throughput plant phenotyping

2011 · Anja Hartmann, Tobias Czauderna, et al. · BMC Bioinformatics · 291

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You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery

2018 · Van Etten, Adam · arXiv (Cornell University) · 256

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Decoupling algorithms from schedules for easy optimization of image processing pipelines

2012 · Jonathan Ragan-Kelley, Andrew Adams, et al. · ACM Transactions on Graphics · 251

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An image processing pipeline for electron cryo‐tomography in RELION ‐5

2024 · Alister Burt, Bogdan Toader, et al. · FEBS Open Bio · 242

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MCMICRO: a scalable, modular image-processing pipeline for multiplexed tissue imaging

2021 · Denis Schapiro, Artem Sokolov, et al. · Nature Methods · 242

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The Dark Energy Survey Image Processing Pipeline

2018 · E. Morganson, R. A. Gruendl, et al. · Publications of the Astronomical Society of the Pacific · 234

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Application of unmanned aerial systems for high throughput phenotyping of large wheat breeding nurseries

2016 · Atena Haghighattalab, Lorena González Pérez, et al. · Plant Methods · 232

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Volume electron microscopy

2022 · Christopher J. Peddie, Christel Genoud, et al. · Nature Reviews Methods Primers · 226

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Web-based 3D Reconstruction Service

2006 · Maarten Vergauwen, Luc Van Gool · Machine Vision and Applications · 226

BioImageXD: an open, general-purpose and high-throughput image-processing platform

2012 · Pasi Kankaanpää, Lassi Paavolainen, et al. · Nature Methods · 215

VIP: Vortex Image Processing Package for High-contrast Direct Imaging

2017 · Carlos Alberto Gomez Gonzalez, Olivier Wertz, et al. · The Astronomical Journal · 212

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Darkroom

2014 · James Hegarty, John Brunhaver, et al. · ACM Transactions on Graphics · 178

Automatically scheduling halide image processing pipelines

2016 · Ravi Teja Mullapudi, Andrew Adams, et al. · ACM Transactions on Graphics · 174

A Software Platform for Manipulating the Camera Imaging Pipeline

2016 · Hakki Can Karaimer, Michael S. Brown · Lecture notes in computer science · 173

Works count: 2,121

Citation count: 22,790