activity
20152022
most citedA superpixel-driven deep learning approach for the analysis of dermatological wounds

52 citations · 155 across the 10 of their papers we have counts for

collaborators

10 papers

cs.HC2022★ 30 cited

ClinicalPath: a Visualization tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making

Claudio D. G. Linhares, Daniel M. Lima, Jean R. Ponciano +5

Physicians work at a very tight schedule and need decision-making support tools to help on improving and doing their work in a timely and dependable manner. Examining piles of shee…

cs.DB2020★ 3 cited

Batchwise Probabilistic Incremental Data Cleaning

Paulo H. Oliveira, Daniel S. Kaster, Caetano Traina-Jr. +1

Lack of data and data quality issues are among the main bottlenecks that prevent further artificial intelligence adoption within many organizations, pushing data scientists to spen…

eess.IV2019★ 52 cited

A superpixel-driven deep learning approach for the analysis of dermatological wounds

Gustavo Blanco, Agma J. M. Traina, Caetano Traina +4

Background. The image-based identification of distinct tissues within dermatological wounds enhances patients' care since it requires no intrusive evaluations. This manuscript pres…

eess.IV2019★ 3 cited

3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging

Jonathan S. Ramos, Mirela T. Cazzolato, Bruno S. Faiçal +3

Segmentation of medical images is critical for making several processes of analysis and classification more reliable. With the growing number of people presenting back pain and rel…

cs.SI2016★ 11 cited

Complex Network Tools to Understand the Behavior of Criminality in Urban Areas

Gabriel Spadon, Lucas C. Scabora, Marcus V. S. Araujo +5

Complex networks are nowadays employed in several applications. Modeling urban street networks is one of them, and in particular to analyze criminal aspects of a city. Several rese…

cs.CV2015★ 7 cited

Techniques for effective and efficient fire detection from social media images

Marcos Bedo, Gustavo Blanco, Willian Oliveira +5

Social media could provide valuable information to support decision making in crisis management, such as in accidents, explosions and fires. However, much of the data from social m…