no code implementations • 19 Mar 2024 • Matheus A. Cerqueira, Flávia Sprenger, Bernardo C. A. Teixeira, Alexandre X. Falcão
Brain tumor image segmentation is a challenging research topic in which deep-learning models have presented the best results.
no code implementations • 16 Nov 2021 • Azael M. Sousa, Fabiano Reis, Rachel Zerbini, João L. D. Comba, Alexandre X. Falcão
Here we propose a method that does not require either large annotated datasets or backpropagation to estimate the filters of a convolutional neural network (CNN).
no code implementations • 18 Feb 2021 • Luis C. S. Afonso, Clayton R. Pereira, Silke A. T. Weber, Christian Hook, Alexandre X. Falcão, João P. Papa
Bag-of-Visual Words (BoVW) and deep learning techniques have been widely used in several domains, which include computer-assisted medical diagnoses.
no code implementations • 15 Dec 2020 • Barbara C. Benato, Italos E. de Souza, Felipe L. Galvão, Alexandre X. Falcão
A technique named Feature Learning from Image Markers (FLIM) was recently proposed to estimate convolutional filters, with no backpropagation, from strokes drawn by a user on very few images (e. g., 1-3) per class, and demonstrated for coconut-tree image classification.
no code implementations • 17 Sep 2020 • John E. Vargas-Muñoz, Devis Tuia, Alexandre X. Falcão
Locating populations in rural areas of developing countries has attracted the attention of humanitarian mapping projects since it is important to plan actions that affect vulnerable areas.
no code implementations • 24 Jan 2019 • John E. Vargas-Muñoz, Sylvain Lobry, Alexandre X. Falcão, Devis Tuia
Rural building mapping is paramount to support demographic studies and plan actions in response to crisis that affect those areas.
no code implementations • 30 Jan 2018 • John E. Vargas-Muñoz, Ananda S. Chowdhury, Eduardo B. Alexandre, Felipe L. Galvão, Paulo A. Vechiatto Miranda, Alexandre X. Falcão
Superpixel segmentation has become an important research problem in image processing.
no code implementations • 26 Oct 2017 • Thiago V. Spina, Johannes Stegmaier, Alexandre X. Falcão, Elliot Meyerowitz, Alexandre Cunha
SEGMENT3D is a comprehensive application that can be applied to other 3D imaging modalities and general objects.
no code implementations • 18 Oct 2017 • Johannes Stegmaier, Thiago V. Spina, Alexandre X. Falcão, Andreas Bartschat, Ralf Mikut, Elliot Meyerowitz, Alexandre Cunha
Automated segmentation approaches are crucial to quantitatively analyze large-scale 3D microscopy images.
no code implementations • 29 May 2013 • Thiago V. Spina, Mariano Tepper, Amy Esler, Vassilios Morellas, Nikolaos Papanikolopoulos, Alexandre X. Falcão, Guillermo Sapiro
Video object segmentation is a challenging problem due to the presence of deformable, connected, and articulated objects, intra- and inter-object occlusions, object motion, and poor lighting.