240 citations · 361 across the 12 of their papers we have counts for
12 papers
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…
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…
BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging
Jonathan S. Ramos, Carolina Y. V. Watanabe, Marcello H. Nogueira-Barbosa +1
Segmentation of medical images is a critical issue: several process of analysis and classification rely on this segmentation. With the growing number of people presenting back pain…
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…
Combining Visual Analytics and Content Based Data Retrieval Technology for Efficient Data Analysis
Jose Rodrigues, Luciana Romani, Agma Traina +1
One of the most useful techniques to help visual data analysis systems is interactive filtering (brushing). However, visualization techniques often suffer from overlap of graphical…
A Survey on Distributed Visualization Techniques over Clusters of Personal Computers
Jose Rodrigues, Andre Balan, Luciana Zaina +1
In the last years, Distributed Visualization over Personal Computer (PC) clusters has become important for research and industrial communities. They have made large-scale visualiza…