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Journal Articles
- 2022
[j10]Yuri D. V. Yasuda
, Fabio A. M. Cappabianco, Luiz Eduardo Galvão Martins, Jorge A. B. Gripp:
Aircraft visual inspection: A systematic literature review. Comput. Ind. 141: 103695 (2022)- 2021
- [j9]Yuri D. V. Yasuda, Luiz Eduardo Galvão Martins, Fabio A. M. Cappabianco:
Autonomous Visual Navigation for Mobile Robots: A Systematic Literature Review. ACM Comput. Surv. 53(1): 13:1-13:34 (2021) - 2020
- [j8]Caio de Moraes Braz, Paulo A. V. Miranda, Krzysztof Chris Ciesielski, Fábio A. M. Cappabianco:
Optimum Cuts in Graphs by General Fuzzy Connectedness with Local Band Constraints. J. Math. Imaging Vis. 62(5): 659-672 (2020) - [j7]Marcos A. T. Condori, Fábio A. M. Cappabianco, Alexandre X. Falcão, Paulo A. V. Miranda:
An extension of the differential image foresting transform and its application to superpixel generation. J. Vis. Commun. Image Represent. 71: 102748 (2020) - [j6]Jordão Bragantini, Bruno Moura, Alexandre X. Falcão, Fábio A. M. Cappabianco:
Grabber: A tool to improve convergence in interactive image segmentation. Pattern Recognit. Lett. 140: 267-273 (2020) - 2016
- [j5]Thiago Luiz Morais Barreto, Jurandy Almeida, Fabio Augusto Menocci Cappabianco:
Estimating accurate water levels for rivers and reservoirs by using SAR products: A multitemporal analysis. Pattern Recognit. Lett. 83: 224-233 (2016) - [j4]Thiago L. M. Barreto, Rafael A. S. Rosa, Christian Wimmer, João R. Moreira, Leonardo S. Bins, Fabio Augusto Menocci Cappabianco, Jurandy Almeida:
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. 9(12): 5436-5448 (2016) - 2015
- [j3]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:
Improving land cover classification through contextual-based optimum-path forest. Inf. Sci. 324: 60-87 (2015) - 2012
- [j2]Fabio A. M. Cappabianco, Alexandre X. Falcão, Clarissa L. Yasuda, Jayaram K. Udupa:
Brain tissue MR-image segmentation via optimum-path forest clustering. Comput. Vis. Image Underst. 116(10): 1047-1059 (2012) - 2009
- [j1]Leonardo Marques Rocha, Fabio A. M. Cappabianco, Alexandre Xavier Falcão:
Data clustering as an optimum-path forest problem with applications in image analysis. Int. J. Imaging Syst. Technol. 19(2): 50-68 (2009)
Conference and Workshop Papers
- 2023
- [c32]Felipe Augusto de Souza Kleine, Luiz Felipe D. Santos, Fábio A. M. Cappabianco, Paulo A. V. Miranda:
Unsupervised Image Segmentation by Oriented Image Foresting Transform in Layered Graphs. SIBGRAPI 2023: 246-251 - 2021
- [c31]Natan Andrade, Fábio Augusto Faria, Fábio A. M. Cappabianco:
Improving Similarity Metric of Multi-modal MR Brain Image Registration Via a Deep Ensemble. SIBGRAPI 2021: 105-112 - [c30]Thiago H. Sato, Sergio Ronaldo Barros dos Santos, André Marcorin de Oliveira, Fábio A. M. Cappabianco, Sidney N. Givigi:
Experimental Validation of a Steering Control System using an Adaptive Fuzzy Controller and Computer Vision. SysCon 2021: 1-8 - 2020
- [c29]Eduardo Nigri, Nivio Ziviani, Fábio A. M. Cappabianco, Augusto Antunes, Adriano Veloso:
Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer's Disease. IJCNN 2020: 1-8 - [c28]Marcos P. B. Magueta, Sergio Ronaldo Barros dos Santos, Fabio A. M. Cappabianco, Sidney N. Givigi:
Designing Collective Behavior for Construction of Containment Structures using Actuated Blocks. SysCon 2020: 1-8 - 2019
- [c27]Caio de Moraes Braz, Paulo A. V. Miranda, Krzysztof Chris Ciesielski, Fabio A. M. Cappabianco:
Graph-Based Segmentation with Local Band Constraints. DGCI 2019: 155-166 - [c26]Fábio A. M. Cappabianco, Sergio Ronaldo Barros dos Santos, Jaime S. Ide, Petrus P. C. E. da Silva:
Non-Local Operational Anisotropic Diffusion Filter. ICIP 2019: 195-199 - [c25]Fábio A. M. Cappabianco, Pedro F. O. Ribeiro, Paulo A. V. de Miranda, Jayaram K. Udupa:
A General and Balanced Region-Based Metric for Evaluating Medical Image Segmentation Algorithms. ICIP 2019: 1525-1529 - [c24]Antoni Mauricio, Fábio A. M. Cappabianco, Adriano Veloso, Guillermo Cámara:
A Sequential Approach for Pain Recognition Based on Facial Representations. ICVS 2019: 295-304 - 2018
- [c23]André V. Leinio, Lucas Santana Lellis, Fabio A. M. Cappabianco:
Interactive Border Contour with Automatic Tracking Algorithm Selection for Medical Images. CIARP 2018: 748-756 - [c22]Diego O. Dantas, Sergio R. Barros dos Santos, Fabio A. M. Cappabianco, Areolino de Almeida Neto:
Design of Automated Construction System for Modular Structures based on Parameterized Learning Automata. IJCNN 2018: 1-8 - [c21]Natan Andrade, Fábio Augusto Faria, Fabio Augusto Menocci Cappabianco:
A Practical Review on Medical Image Registration: From Rigid to Deep Learning Based Approaches. SIBGRAPI 2018: 463-470 - 2017
- [c20]Hans Harley Ccacyahuillca Bejar, Fabio A. M. Cappabianco, Paulo A. V. Miranda:
Efficient Image Segmentation in Graphs with Localized Curvilinear Features. ICIAP (1) 2017: 718-728 - [c19]Fabio A. M. Cappabianco, Paulo A. V. de Miranda, Jayaram K. Udupa:
A critical analysis of the methods of evaluating MRI brain segmentation algorithms. ICIP 2017: 3894-3898 - [c18]Thiago Luiz Morais Barreto, Rafael A. S. Rosa, Christian Wimmer, João R. Moreira, Leonardo S. Bins, Jurandy Almeida, Fabio A. M. Cappabianco:
BMINSAR: A novel approach for InSAR phase denoising by clustering and block matching. IGARSS 2017: 2357-2360 - [c17]Jaime S. Ide, Fabio Augusto Cappabianco, Fábio Augusto Faria, Chiang-shan R. Li:
Detrended Partial Cross Correlation for Brain Connectivity Analysis. NIPS 2017: 889-897 - [c16]Marcos Ademir Tejada Condori, Fabio Augusto Menocci Cappabianco, Alexandre Xavier Falcão, Paulo André Vechiatto Miranda:
Extending the Differential Image Foresting Transform to Root-Based Path-Cost Functions with Application to Superpixel Segmentation. SIBGRAPI 2017: 7-14 - 2016
- [c15]Fabio A. M. Cappabianco, Lucas Santana Lellis, Paulo A. V. Miranda, Jaime S. Ide, Lilianne R. Mujica-Parodi:
Edge Detection Robust to Intensity Inhomogeneity: A 7T MRI Case Study. CIARP 2016: 459-466 - [c14]Lucy A. C. Mansilla, Paulo A. V. Miranda, Fabio A. M. Cappabianco:
Oriented image foresting transform segmentation with connectivity constraints. ICIP 2016: 2554-2558 - [c13]Fábio Augusto Faria, Fabio A. M. Cappabianco, Chiang-shan R. Li, Jaime S. Ide:
Information fusion for cocaine dependence recognition using fMRI. ICPR 2016: 1107-1112 - [c12]Thiago Luiz Morais Barreto, Rafael A. S. Rosa, Christian Wimmer, Joao B. Nogueira, Jurandy Almeida, Fabio Augusto Menocci Cappabianco:
Deforestation change detection using high-resolution multi-temporal X-Band SAR images and supervised learning classification. IGARSS 2016: 5201-5204 - [c11]Fabio Augusto Menocci Cappabianco, Claudio Saburo Shida, Jaime Shinsuke Ide:
Introduction to Research in Magnetic Resonance Imaging. SIBGRAPI Tutorials 2016: 1-14 - 2013
- [c10]Daniel Osaku, Rodrigo Nakamura, João Paulo Papa, Alexandre L. M. Levada, Fabio A. M. Cappabianco, Alexandre X. Falcão:
Optimizing Contextual-Based Optimum-Forest Classification through Swarm Intelligence. ACIVS 2013: 203-214 - [c9]Rodrigo Nakamura, Daniel Osaku, Alexandre L. M. Levada, Fabio Augusto Cappabianco, Alexandre X. Falcão, João Paulo Papa:
OPF-MRF: Optimum-Path Forest and Markov Random Fields for Contextual-Based Image Classification. CAIP (2) 2013: 233-240 - [c8]Paulo A. V. Miranda, Fabio A. M. Cappabianco, Jaime S. Ide:
A case analysis of the impact of prior center of gravity estimation over skull-stripping algorithms in MR images. ICIP 2013: 675-679 - [c7]Lucy A. C. Mansilla, Paulo André Vechiatto Miranda, Fabio A. M. Cappabianco:
Image Segmentation by Image Foresting Transform with Non-smooth Connectivity Functions. SIBGRAPI 2013: 147-154 - 2012
- [c6]Fabio A. M. Cappabianco, Paulo A. V. de Miranda, Jaime S. Ide, Clarissa L. Yasuda, Alexandre X. Falcão:
Unraveling the Compromise between Skull Stripping and Inhomogeneity Correction in 3T MR Images. SIBGRAPI 2012: 1-8 - 2011
- [c5]Fabio A. M. Cappabianco, Jaime S. Ide, Alexandre X. Falcão, Chiang-shan Ray Li:
Automatic subcortical tissue segmentation of MR images using optimum-path forest clustering. ICIP 2011: 2653-2656 - [c4]Paulo A. V. Miranda, Alexandre X. Falcão, Guilherme C. S. Ruppert, Fabio A. M. Cappabianco:
How to fix any 3D segmentation interactively via Image Foresting Transform and its use in MRI brain segmentation. ISBI 2011: 2031-2035 - 2010
- [c3]João P. Papa, Fabio A. M. Cappabianco, Alexandre X. Falcão:
Optimizing Optimum-Path Forest Classification for Huge Datasets. ICPR 2010: 4162-4165 - 2008
- [c2]Fabio A. M. Cappabianco, Alexandre X. Falcão, Leonardo M. Rocha:
Clustering by optimum path forest and its application to automatic GM/WM classification in MR-T1 images of the brain. ISBI 2008: 428-431 - 2007
- [c1]Fabio Augusto Cappabianco, Guido Araujo, Alexandre X. Falcão:
The Image Forest Transform Architecture. FPT 2007: 137-144
Informal and Other Publications
- 2023
- [i3]Fábio A. Faria, Luiz H. Buris, Fábio A. M. Cappabianco, Luís A. M. Pereira:
Combining Deep Metric Learning Approaches for Aerial Scene Classification. CoRR abs/2303.11389 (2023) - 2020
- [i2]Eduardo Nigri, Nivio Ziviani, Fabio A. M. Cappabianco, Augusto Antunes, Adriano Veloso:
Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer's Disease. CoRR abs/2004.12204 (2020) - 2018
- [i1]Fabio A. M. Cappabianco, Petrus P. C. E. da Silva:
Non-local Operational Anisotropic Diffusion Filter. CoRR abs/1812.04708 (2018)
Coauthor Index
aka: Alexandre Xavier Falcão
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