Scholar IQ
Try ScholarIQ free
Upload Records Snowball Search Search OpenAlex
About the database
On this page:OverviewPublicationsResearchersKey papersJournalsOpen accessInstitutions
ScholarIQanswers from OpenAlex

Image Processing Techniques and Applications

TopicLeading institutions, researchers & key papers

This cluster of papers focuses on the development and evaluation of autofocusing algorithms for microscopy and digital cameras, with applications in depth estimation, shape reconstruction, and tuberculosis detection. It also explores techniques such as shape from focus, defocus, and image processing methods for accurate autofocusing in various imaging systems.

83
Works

How has Image Processing Techniques and Applications's publication output changed over time?

ScholarIQpublication output · 2013–2025

Output grew100% over the shown period — from 1 works in 2013 to 2 in 2025.

1
1
1
1
2
1
2
2013201520162017201920202025

What are the most-cited papers on Image Processing Techniques and Applications?

ScholarIQmost cited works
Cross-Sectional Evaluation of Humoral Responses against SARS-CoV-2 Spike
Jérémie Prévost, Romain Gasser, Guillaume Beaudoin-Bussières, Jonathan Richard, Ralf Duerr, Annemarie Laumaea, Sai Priya Anand, Guillaume Goyette, Mehdi Benlarbi, Shilei Ding, Halima Medjahed, Antoine Lewin, Josée Perreault, Tony Tremblay, Gabrielle Gendron‐Lepage, Nicolas Gauthier, Marc Carrier, Diane Marcoux, Alain Piché, Myriam Lavoie, Alexandre Benoît, Vilayvong Loungnarath, Gino Brochu, Élie Haddad, Hannah D. Stacey, Matthew S. Miller, Marc Desforges, Pierre J. Talbot, Graham T. Gould Maule, Marceline Côté, Christian Therrien, Bouchra Serhir, Renée Bazin, Michel Roger, Andrés Finzi
Cell Reports Medicine. 2020233 CitationsOPEN ACCESS
Face liveness detection using variable focusing
Sooyeon Kim, Sunjin Yu, Kwangtaek Kim, Yuseok Ban, Sangyoun Lee
201368 Citations
Simplified parameters model of PCNN and its application to image segmentation
Dongguo Zhou, Hong Zhou, Chao Gao, Yongcai Guo
S45497385. 201527 Citations
Image processing for AFB segmentation in bacilloscopies of pulmonary tuberculosis diagnosis
Jorge Luis Díaz-Huerta, Adriana del Carmen Téllez-Anguiano, Miguelangel Fraga-Aguilar, José Antonio Gutiérrez Gnecchi, Sergio Arellano-Calderón
PLoS ONE. 201927 CitationsOPEN ACCESS

Where is Image Processing Techniques and Applications research published, and who funds it?

ScholarIQvenues & funding sources

TOP JOURNALS

S4549738527
S43771963297
S139616890

TOP FUNDERS

National Science Foundation
NIH
Wellcome Trust
European Research Council
Funder breakdown is a member featureSign up free to unlock

How much of the research on Image Processing Techniques and Applications is open access?

ScholarIQopen access share
33%OPEN ACCESS
Gold
33%
Green
0%
Hybrid
0%
Bronze
0%
Closed
67%

Related on ScholarIQ

Feedback Network for Image Super-Resolution
Paper
Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images
Paper
Unsupervised Degradation Representation Learning for Blind Super-Resolution
Paper
Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases
Paper
Automated Segmentation, Classification, and Tracking of Cancer Cell Nuclei in Time-Lapse Microscopy
Paper
Learning Parallax Attention for Stereo Image Super-Resolution
Paper
470M+ articles · free account