Oscar A. C. Linares

Orcid: 0000-0003-1454-399X

Affiliations:
  • University of São Paulo, Brazil


According to our database1, Oscar A. C. Linares authored at least 11 papers between 2012 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Automatic image segmentation based on label propagation.
IET Image Process., 2021

2020
Segmenting Cellular Retinal Images by Optimizing Super-Pixels, Multi-Level Modularity, and Cell Boundary Representation.
IEEE Trans. Image Process., 2020

Efficient Segmentation of Cell Nuclei in Histopathological Images.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

Bag-of-Attributes Representation: A Vector Space Model for Electronic Health Records Analysis in OMOP.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019
Mandible and skull segmentation in cone beam computed tomography using super-voxels and graph clustering.
Vis. Comput., 2019

Fast and Smart Segmentation of Paraspinal Muscles in Magnetic Resonance Imaging with CleverSeg.
Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images, 2019

How to Automatically Identify Regions of Interest in High-Resolution Images of Lung Biopsy for Interstitial Fibrosis Diagnosis.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2017
Mandible and Skull Segmentation in Cone Bean Computed Tomography Data.
PhD thesis, 2017

Segmentation of large images based on super-pixels and community detection in graphs.
IET Image Process., 2017

2015
An Adjustable Error Measure for Image Segmentation Evaluation.
Proceedings of the 28th SIBGRAPI Conference on Graphics, Patterns and Images, 2015

2012
Segmentation of Large Images with Complex Networks.
Proceedings of the 25th SIBGRAPI Conference on Graphics, Patterns and Images, 2012


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