Fábio Cappabianco
Fábio Cappabianco
Professor of Computer Science, Universidade Federal de São Paulo
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Cited by
Cited by
Data clustering as an optimum‐path forest problem with applications in image analysis
LM Rocha, FAM Cappabianco, AX Falcão
International Journal of Imaging Systems and Technology 19 (2), 50-68, 2009
Characterization of dual effects induced by antimicrobial peptides: regulated cell death or membrane disruption
EJ Paredes-Gamero, MNC Martins, FAM Cappabianco, JS Ide, A Miranda
Biochimica et Biophysica Acta (BBA)-General Subjects 1820 (7), 1062-1072, 2012
Autonomous visual navigation for mobile robots: A systematic literature review
YDV Yasuda, LEG Martins, FAM Cappabianco
ACM Computing Surveys (CSUR) 53 (1), 1-34, 2020
A multimodal evaluation of microstructural white matter damage in spinocerebellar ataxia type 3
RP Guimarães, A D'Abreu, CL Yasuda, MC Franca Jr, BHB Silva, ...
Movement Disorders 28 (8), 1125-1132, 2013
Anisotropic diffusion filtering operation and limitations-magnetic resonance imaging evaluation
CA Palma, FAM Cappabianco, JS Ide, PAV Miranda
IFAC Proceedings Volumes 47 (3), 3887-3892, 2014
Brain tissue MR-image segmentation via optimum-path forest clustering
FAM Cappabianco, AX Falcao, CL Yasuda, JK Udupa
Computer Vision and Image Understanding 116 (10), 1047-1059, 2012
Explainable deep CNNs for MRI-based diagnosis of Alzheimer’s disease
E Nigri, N Ziviani, F Cappabianco, A Antunes, A Veloso
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
Oriented image foresting transform segmentation: Connectivity constraints with adjustable width
LAC Mansilla, PAV Miranda
2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2016
Aircraft visual inspection: A systematic literature review
YDV Yasuda, FAM Cappabianco, LEG Martins, JAB Gripp
Computers in Industry 141, 103695, 2022
A practical review on medical image registration: From rigid to deep learning based approaches
N Andrade, FA Faria, FAM Cappabianco
2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2018
Classification of detected changes from multitemporal high-res Xband SAR images: intensity and texture descriptors from SuperPixels
TLM Barreto, RAS Rosa, C Wimmer, JR Moreira, LS Bins, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
Memory impairment is not necessarily related to seizure frequency in mesial temporal lobe epilepsy with hippocampal sclerosis
D Pacagnella, TM Lopes, ME Morita, CL Yasuda, FAM Cappabianco, ...
Epilepsia 55 (8), 1197-1204, 2014
Optimizing optimum-path forest classification for huge datasets
JP Papa, FAM Cappabianco, AX Falcao
2010 20th International Conference on Pattern Recognition, 4162-4165, 2010
Improving land cover classification through contextual-based optimum-path forest
D Osaku, RYM Nakamura, LAM Pereira, RJ Pisani, ALM Levada, ...
Information Sciences 324, 60-87, 2015
Deforestation change detection using high-resolution multi-temporal X-Band SAR images and supervised learning classification
TLM Barreto, RAS Rosa, C Wimmer, JB Nogueira, J Almeida, ...
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016
Image segmentation by image foresting transform with non-smooth connectivity functions
LAC Mansilla, PAVV Miranda, FAM Cappabianco
2013 XXVI Conference on Graphics, Patterns and Images, 147-154, 2013
A general and balanced region-based metric for evaluating medical image segmentation algorithms
FAM Cappabianco, PFO Ribeiro, PAV De Miranda, JK Udupa
2019 IEEE international conference on image processing (ICIP), 1525-1529, 2019
Clustering by optimum path forest and its application to automatic GM/WM classification in MR-T1 images of the brain
FAM Cappabianco, AX Falcao, LM Rocha
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2008
How to fix any 3D segmentation interactively via image foresting transform and its use in MRI brain segmentation
PAV Miranda, AX Falcão, GCS Ruppert, FAM Cappabianco
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011
An extension of the differential image foresting transform and its application to superpixel generation
MAT Condori, FAM Cappabianco, AX Falcão, PAV Miranda
Journal of Visual Communication and Image Representation 71, 102748, 2020
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