Fabio A. M. Cappabianco

Orcid: 0000-0002-2139-7938

According to our database1, Fabio A. M. Cappabianco authored at least 43 papers between 2007 and 2023.

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Bibliography

2023
Combining Deep Metric Learning Approaches for Aerial Scene Classification.
CoRR, 2023

2022
Aircraft visual inspection: A systematic literature review.
Comput. Ind., 2022

2021
Autonomous Visual Navigation for Mobile Robots: A Systematic Literature Review.
ACM Comput. Surv., 2021

Experimental Validation of a Steering Control System using an Adaptive Fuzzy Controller and Computer Vision.
Proceedings of the IEEE International Systems Conference, 2021

Improving Similarity Metric of Multi-modal MR Brain Image Registration Via a Deep Ensemble.
Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021

2020
Grabber: A tool to improve convergence in interactive image segmentation.
Pattern Recognit. Lett., 2020

An extension of the differential image foresting transform and its application to superpixel generation.
J. Vis. Commun. Image Represent., 2020

Optimum Cuts in Graphs by General Fuzzy Connectedness with Local Band Constraints.
J. Math. Imaging Vis., 2020

Designing Collective Behavior for Construction of Containment Structures using Actuated Blocks.
Proceedings of the IEEE International Systems Conference, 2020

Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer's Disease.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
A Sequential Approach for Pain Recognition Based on Facial Representations.
Proceedings of the Computer Vision Systems, 12th International Conference, 2019

Non-Local Operational Anisotropic Diffusion Filter.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

A General and Balanced Region-Based Metric for Evaluating Medical Image Segmentation Algorithms.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Graph-Based Segmentation with Local Band Constraints.
Proceedings of the Discrete Geometry for Computer Imagery, 2019

2018
Non-local Operational Anisotropic Diffusion Filter.
CoRR, 2018

A Practical Review on Medical Image Registration: From Rigid to Deep Learning Based Approaches.
Proceedings of the 31st SIBGRAPI Conference on Graphics, Patterns and Images, 2018

Design of Automated Construction System for Modular Structures based on Parameterized Learning Automata.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Interactive Border Contour with Automatic Tracking Algorithm Selection for Medical Images.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2017
Extending the Differential Image Foresting Transform to Root-Based Path-Cost Functions with Application to Superpixel Segmentation.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

Detrended Partial Cross Correlation for Brain Connectivity Analysis.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

BMINSAR: A novel approach for InSAR phase denoising by clustering and block matching.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

A critical analysis of the methods of evaluating MRI brain segmentation algorithms.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Efficient Image Segmentation in Graphs with Localized Curvilinear Features.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

2016
Classification of Detected Changes From Multitemporal High-Res Xband SAR Images: Intensity and Texture Descriptors From SuperPixels.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Estimating accurate water levels for rivers and reservoirs by using SAR products: A multitemporal analysis.
Pattern Recognit. Lett., 2016

Introduction to Research in Magnetic Resonance Imaging.
Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images - Tutorials, 2016

Deforestation change detection using high-resolution multi-temporal X-Band SAR images and supervised learning classification.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Information fusion for cocaine dependence recognition using fMRI.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Oriented image foresting transform segmentation with connectivity constraints.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Edge Detection Robust to Intensity Inhomogeneity: A 7T MRI Case Study.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

2015
Improving land cover classification through contextual-based optimum-path forest.
Inf. Sci., 2015

2013
Image Segmentation by Image Foresting Transform with Non-smooth Connectivity Functions.
Proceedings of the XXVI Conference on Graphics, Patterns and Images, 2013

A case analysis of the impact of prior center of gravity estimation over skull-stripping algorithms in MR images.
Proceedings of the IEEE International Conference on Image Processing, 2013

OPF-MRF: Optimum-Path Forest and Markov Random Fields for Contextual-Based Image Classification.
Proceedings of the Computer Analysis of Images and Patterns, 2013

Optimizing Contextual-Based Optimum-Forest Classification through Swarm Intelligence.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2013

2012
Brain tissue MR-image segmentation via optimum-path forest clustering.
Comput. Vis. Image Underst., 2012

Unraveling the Compromise between Skull Stripping and Inhomogeneity Correction in 3T MR Images.
Proceedings of the 25th SIBGRAPI Conference on Graphics, Patterns and Images, 2012

2011
How to fix any 3D segmentation interactively via Image Foresting Transform and its use in MRI brain segmentation.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Automatic subcortical tissue segmentation of MR images using optimum-path forest clustering.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
Optimizing Optimum-Path Forest Classification for Huge Datasets.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Data clustering as an optimum-path forest problem with applications in image analysis.
Int. J. Imaging Syst. Technol., 2009

2008
Clustering by optimum path forest and its application to automatic GM/WM classification in MR-T1 images of the brain.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
The Image Forest Transform Architecture.
Proceedings of the 2007 International Conference on Field-Programmable Technology, 2007


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