The Image Forest Transform Architecture. - Fabio Augusto Cappabianco; Guido Araujo; Alexandre X. Falcão (FPT, 2007)

Clustering by optimum path forest and its application to automatic GM/WM classification in MR-T1 images of the brain. - Fabio A. M. Cappabianco; Alexandre X. Falcão; Leonardo M. Rocha (ISBI, 2008)

Data clustering as an optimum-path forest problem with applications in image analysis. - Leonardo Marques Rocha; Fabio A. M. Cappabianco; Alexandre Xavier Falcão (Int. J. Imaging Syst. Technol., 2009)

Optimizing Optimum-Path Forest Classification for Huge Datasets. - João P. Papa; Fabio A. M. Cappabianco; Alexandre X. Falcão (ICPR, 2010)

Automatic subcortical tissue segmentation of MR images using optimum-path forest clustering. - Fabio A. M. Cappabianco; Jaime S. Ide; Alexandre X. Falcão; Chiang-shan Ray Li (ICIP, 2011)

How to fix any 3D segmentation interactively via Image Foresting Transform and its use in MRI brain segmentation. - Paulo A. V. Miranda; Alexandre X. Falcão; Guilherme C. S. Ruppert; Fabio A. M. Cappabianco (ISBI, 2011)

Unraveling the Compromise between Skull Stripping and Inhomogeneity Correction in 3T MR Images. - Fabio A. M. Cappabianco; Paulo A. V. de Miranda; Jaime S. Ide; Clarissa L. Yasuda; Alexandre X. Falcão (SIBGRAPI, 2012)

Brain tissue MR-image segmentation via optimum-path forest clustering. - Fabio A. M. Cappabianco; Alexandre X. Falcão; Clarissa L. Yasuda; Jayaram K. Udupa (Comput. Vis. Image Underst., 2012)

Optimizing Contextual-Based Optimum-Forest Classification through Swarm Intelligence. - Daniel Osaku; Rodrigo Nakamura; João Paulo Papa; Alexandre L. M. Levada; Fabio A. M. Cappabianco; Alexandre X. Falcão (ACIVS, 2013)

OPF-MRF: Optimum-Path Forest and Markov Random Fields for Contextual-Based Image Classification. - Rodrigo Nakamura; Daniel Osaku; Alexandre L. M. Levada; Fabio Augusto Cappabianco; Alexandre X. Falcão; João Paulo Papa (CAIP (2), 2013)

A case analysis of the impact of prior center of gravity estimation over skull-stripping algorithms in MR images. - Paulo A. V. Miranda; Fabio A. M. Cappabianco; Jaime S. Ide (ICIP, 2013)

Image Segmentation by Image Foresting Transform with Non-smooth Connectivity Functions. - Lucy A. C. Mansilla; Paulo André Vechiatto Miranda; Fabio A. M. Cappabianco (SIBGRAPI, 2013)

Improving land cover classification through contextual-based optimum-path forest. - Daniel Osaku; Rodrigo Y. M. Nakamura; Luís A. M. Pereira; Rodrigo Jose Pisani; Alexandre L. M. Levada; Fabio A. M. Cappabianco; Alexandre X. Falcão; João Paulo Papa (Inf. Sci., 2015)

Edge Detection Robust to Intensity Inhomogeneity: A 7T MRI Case Study. - Fabio A. M. Cappabianco; Lucas Santana Lellis; Paulo A. V. Miranda; Jaime S. Ide; Lilianne R. Mujica-Parodi (CIARP, 2016)

Oriented image foresting transform segmentation with connectivity constraints. - Lucy A. C. Mansilla; Paulo A. V. Miranda; Fabio A. M. Cappabianco (ICIP, 2016)

Information fusion for cocaine dependence recognition using fMRI. - Fábio Augusto Faria; Fabio A. M. Cappabianco; Chiang-shan R. Li; Jaime S. Ide (ICPR, 2016)

Deforestation change detection using high-resolution multi-temporal X-Band SAR images and supervised learning classification. - Thiago Luiz Morais Barreto; Rafael A. S. Rosa; Christian Wimmer; Joao B. Nogueira; Jurandy Almeida; Fabio Augusto Menocci Cappabianco (IGARSS, 2016)

Introduction to Research in Magnetic Resonance Imaging. - Fabio Augusto Menocci Cappabianco; Claudio Saburo Shida; Jaime Shinsuke Ide (SIBGRAPI Tutorials, 2016)

Estimating accurate water levels for rivers and reservoirs by using SAR products: A multitemporal analysis. - Thiago Luiz Morais Barreto; Jurandy Almeida; Fabio Augusto Menocci Cappabianco (Pattern Recognit. Lett., 2016)

Classification of Detected Changes From Multitemporal High-Res Xband SAR Images: Intensity and Texture Descriptors From SuperPixels. - Thiago L. M. Barreto; Rafael A. S. Rosa; Christian Wimmer; João R. Moreira; Leonardo S. Bins; Fabio Augusto Menocci Cappabianco; Jurandy Almeida (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Efficient Image Segmentation in Graphs with Localized Curvilinear Features. - Hans Harley Ccacyahuillca Bejar; Fabio A. M. Cappabianco; Paulo A. V. Miranda (ICIAP (1), 2017)

A critical analysis of the methods of evaluating MRI brain segmentation algorithms. - Fabio A. M. Cappabianco; Paulo A. V. de Miranda; Jayaram K. Udupa (ICIP, 2017)

BMINSAR: A novel approach for InSAR phase denoising by clustering and block matching. - Thiago Luiz Morais Barreto; Rafael A. S. Rosa; Christian Wimmer; João R. Moreira; Leonardo S. Bins; Jurandy Almeida; Fabio A. M. Cappabianco (IGARSS, 2017)

Detrended Partial Cross Correlation for Brain Connectivity Analysis. - Jaime S. Ide; Fabio Augusto Cappabianco; Fábio Augusto Faria; Chiang-shan R. Li (NIPS, 2017)

Extending the Differential Image Foresting Transform to Root-Based Path-Cost Functions with Application to Superpixel Segmentation. - Marcos Ademir Tejada Condori; Fabio Augusto Menocci Cappabianco; Alexandre Xavier Falcão; Paulo André Vechiatto Miranda (SIBGRAPI, 2017)

Interactive Border Contour with Automatic Tracking Algorithm Selection for Medical Images. - André V. Leinio; Lucas Santana Lellis; Fabio A. M. Cappabianco (CIARP, 2018)

Design of Automated Construction System for Modular Structures based on Parameterized Learning Automata. - Diego O. Dantas; Sergio R. Barros dos Santos; Fabio A. M. Cappabianco; Areolino de Almeida Neto (IJCNN, 2018)

A Practical Review on Medical Image Registration: From Rigid to Deep Learning Based Approaches. - Natan Andrade; Fábio Augusto Faria; Fabio Augusto Menocci Cappabianco (SIBGRAPI, 2018)

Non-local Operational Anisotropic Diffusion Filter. - Fabio A. M. Cappabianco; Petrus P. C. E. da Silva (CoRR, 2018)

Graph-Based Segmentation with Local Band Constraints. - Caio de Moraes Braz; Paulo A. V. Miranda; Krzysztof Chris Ciesielski; Fabio A. M. Cappabianco (DGCI, 2019)

A General and Balanced Region-Based Metric for Evaluating Medical Image Segmentation Algorithms. - Fábio A. M. Cappabianco; Pedro F. O. Ribeiro; Paulo A. V. de Miranda; Jayaram K. Udupa (ICIP, 2019)

Non-Local Operational Anisotropic Diffusion Filter. - Fábio A. M. Cappabianco; Sergio Ronaldo Barros dos Santos; Jaime S. Ide; Petrus P. C. E. da Silva (ICIP, 2019)

A Sequential Approach for Pain Recognition Based on Facial Representations. - Antoni Mauricio; Fábio A. M. Cappabianco; Adriano Veloso; Guillermo Cámara (ICVS, 2019)

Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer's Disease. - Eduardo Nigri; Nivio Ziviani; Fábio A. M. Cappabianco; Augusto Antunes; Adriano Veloso (IJCNN, 2020)

Designing Collective Behavior for Construction of Containment Structures using Actuated Blocks. - Marcos P. B. Magueta; Sergio Ronaldo Barros dos Santos; Fabio A. M. Cappabianco; Sidney N. Givigi (SysCon, 2020)

Optimum Cuts in Graphs by General Fuzzy Connectedness with Local Band Constraints. - Caio de Moraes Braz; Paulo A. V. Miranda; Krzysztof Chris Ciesielski; Fábio A. M. Cappabianco (J. Math. Imaging Vis., 2020)

An extension of the differential image foresting transform and its application to superpixel generation. - Marcos A. T. Condori; Fábio A. M. Cappabianco; Alexandre X. Falcão; Paulo A. V. Miranda (J. Vis. Commun. Image Represent., 2020)

Grabber: A tool to improve convergence in interactive image segmentation. - Jordão Bragantini; Bruno Moura; Alexandre X. Falcão; Fábio A. M. Cappabianco (Pattern Recognit. Lett., 2020)

Improving Similarity Metric of Multi-modal MR Brain Image Registration Via a Deep Ensemble. - Natan Andrade; Fábio Augusto Faria; Fábio A. M. Cappabianco (SIBGRAPI, 2021)

Experimental Validation of a Steering Control System using an Adaptive Fuzzy Controller and Computer Vision. - Thiago H. Sato; Sergio Ronaldo Barros dos Santos; André Marcorin de Oliveira; Fábio A. M. Cappabianco; Sidney N. Givigi (SysCon, 2021)

Autonomous Visual Navigation for Mobile Robots: A Systematic Literature Review. - Yuri D. V. Yasuda; Luiz Eduardo Galvão Martins; Fabio A. M. Cappabianco (ACM Comput. Surv., 2021)

Aircraft visual inspection: A systematic literature review. - Yuri D. V. Yasuda; Fabio A. M. Cappabianco; Luiz Eduardo Galvão Martins; Jorge A. B. Gripp (Comput. Ind., 2022)

Unsupervised Image Segmentation by Oriented Image Foresting Transform in Layered Graphs. - Felipe Augusto de Souza Kleine; Luiz Felipe D. Santos; Fábio A. M. Cappabianco; Paulo A. V. Miranda (SIBGRAPI, 2023)

Combining Deep Metric Learning Approaches for Aerial Scene Classification. - Fábio Augusto Faria; Luiz H. Buris; Fábio A. M. Cappabianco; Luís A. M. Pereira (CoRR, 2023)

Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification. - Fábio Augusto Faria; Luiz Henrique Buris; Luís Augusto Martins Pereira; Fabio Augusto Menocci Cappabianco (GECCO, 2024)

Sampling Strategies Based on Wisdom of Crowds for Amazon Deforestation Detection. - Hugo Resende; Eduardo B. Neto; Fábio A. M. Cappabianco; Álvaro Luiz Fazenda 001; Fábio Augusto Faria (SIBGRAPI, 2024)