Search Results - "Cappabianco, Fábio A.M."

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  1. 1

    Characterization of dual effects induced by antimicrobial peptides: Regulated cell death or membrane disruption by Paredes-Gamero, Edgar J., Martins, Marta N.C., Cappabianco, Fábio A.M., Ide, Jaime S., Miranda, Antonio

    Published in Biochimica et biophysica acta (01-07-2012)
    “…Some reports describe lysis mechanisms by antimicrobial peptides (AMPs), while others describe the activation of regulated cell death. In this study, we…”
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    Journal Article
  2. 2

    A multimodal evaluation of microstructural white matter damage in spinocerebellar ataxia type 3 by Guimarães, Rachel P., D'Abreu, Anelyssa, Yasuda, Clarissa L., França Jr, Marcondes C., Silva, Beatriz H. B., Cappabianco, Fabio A.M., Bergo, Felipe P.G., Lopes-Cendes, Iscia T., Cendes, Fernando

    Published in Movement disorders (01-07-2013)
    “…ABSTRACT Although white matter damage may play a major role in the pathogenesis of spinocerebellar ataxia 3 (SCA3), available data rely exclusively upon…”
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    Journal Article
  3. 3

    Grabber: A tool to improve convergence in interactive image segmentation by Bragantini, Jordão, Moura, Bruno, Falcão, Alexandre X., Cappabianco, Fábio A.M.

    Published in Pattern recognition letters (01-12-2020)
    “…•A tool, named Grabber, to increase user control in interactive segmentation.•Grabber can be integrated with any other method.•Grabber can improve convergence,…”
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    Journal Article
  4. 4

    An extension of the differential image foresting transform and its application to superpixel generation by Condori, Marcos A.T., Cappabianco, Fábio A.M., Falcão, Alexandre X., Miranda, Paulo A.V.

    “…•An extension of the DIFT algorithm is proposed, named GDIFT.•GDIFT includes Non-Monotonically Incremental (NMI) functions with root-based increases.•GDIFT has…”
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    Journal Article
  5. 5

    Data clustering as an optimum-path forest problem with applications in image analysis by Rocha, Leonardo Marques, Cappabianco, Fábio A. M., Falcão, Alexandre Xavier

    “…We propose an approach for data clustering based on optimum‐path forest. The samples are taken as nodes of a graph, whose arcs are defined by an adjacency…”
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    Journal Article
  6. 6

    Optimum Cuts in Graphs by General Fuzzy Connectedness with Local Band Constraints by de Moraes Braz, Caio, Miranda, Paulo A. V., Ciesielski, Krzysztof Chris, Cappabianco, Fábio A. M.

    Published in Journal of mathematical imaging and vision (01-06-2020)
    “…The goal of this work is to describe an efficient algorithm for finding a binary segmentation of an image such that the indicated object satisfies a novel…”
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    Journal Article
  7. 7

    Brain tissue MR-image segmentation via optimum-path forest clustering by Cappabianco, Fábio A.M., Falcão, Alexandre X., Yasuda, Clarissa L., Udupa, Jayaram K.

    Published in Computer vision and image understanding (01-10-2012)
    “…► A novel brain MRI inhomogeneity correction method based on WM voxels. ► Automatic brain tissue segmentation by an optimum-path forest algorithm. ►…”
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    Journal Article
  8. 8

    Aircraft visual inspection: A systematic literature review by Yasuda, Yuri D.V., Cappabianco, Fabio A.M., Martins, Luiz Eduardo G., Gripp, Jorge A.B.

    Published in Computers in industry (01-10-2022)
    “…Aircraft visual inspection is a procedure that aims at identifying problems with the vehicle structure. The visual inspection of aircraft is part of the…”
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    Journal Article
  9. 9

    Optimizing Optimum-Path Forest Classification for Huge Datasets by Papa, J P, Cappabianco, F A M, Falcao, A X

    “…Traditional pattern recognition techniques can not handle the classification of large datasets with both efficiency and effectiveness. In this context, the…”
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    Conference Proceeding
  10. 10

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

    “…In this work, we propose a novel approach for improving center of gravity (COG) estimation of the brain in magnetic resonance (MR) images, that uses 3D…”
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    Conference Proceeding
  11. 11

    Unraveling the Compromise between Skull Stripping and Inhomogeneity Correction in 3T MR Images by Cappabianco, F. A. M., de Miranda, P. A. V., Ide, J. S., Yasuda, C. L., Falcao, A. X.

    “…Bias field (in homogeneity) correction and skull stripping are initial standard procedures in medical image analysis of the human brain. Several works have…”
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    Conference Proceeding
  12. 12

    Unsupervised Image Segmentation by Oriented Image Foresting Transform in Layered Graphs by Kleine, Felipe A.S., Santos, Luiz F.D., Cappabianco, Fabio A.M., Miranda, Paulo A. V.

    “…In this work, we address the problem of unsupervised image segmentation, subject to high-level constraints expected for the objects of interest. More…”
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    Conference Proceeding
  13. 13

    Improving Similarity Metric of Multi-modal MR Brain Image Registration Via a Deep Ensemble by Andrade, Natan, Faria, Fabio A, Cappabianco, Fabio A M

    “…Brain image registration fuses and aligns sets of structural or functional images within individual and population studies. The similarity metric is an image…”
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    Conference Proceeding
  14. 14

    Memory impairment is not necessarily related to seizure frequency in mesial temporal lobe epilepsy with hippocampal sclerosis by Pacagnella, Denise, Lopes, Tatila M., Morita, Marcia E., Yasuda, Clarissa L., Cappabianco, Fabio A. M., Bergo, Felipe, Balthazar, Marcio L. F., Coan, Ana C., Cendes, Fernando

    Published in Epilepsia (Copenhagen) (01-08-2014)
    “…Summary Objective To investigate the effect of seizure frequency on memory, we performed a cross sectional study comparing mesial temporal lobe epilepsy (MTLE)…”
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    Journal Article
  15. 15

    Clustering by optimum path forest and its application to automatic GM/WM classification in MR-T1 images of the brain by Cappabianco, F.A.M., Falcao, A.X., Rocha, L.M.

    “…A new approach to identify clusters as trees of an optimum- path forest has been presented. We are extending the method for large datasets with application to…”
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    Conference Proceeding
  16. 16

    A critical analysis of the methods of evaluating MRI brain segmentation algorithms by Cappabianco, Fabio A. M., de Miranda, Paulo A. V., Udupa, Jayaram K.

    “…Many papers are published every year containing new methodologies for brain tissue segmentation in magnetic resonance images. The evaluation of these methods…”
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    Conference Proceeding
  17. 17

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

    “…This work presents the development and imple- mentation of an autonomous construction system which uses a holonomic mobile robot for constructing…”
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    Conference Proceeding
  18. 18

    A General and Balanced Region-Based Metric for Evaluating Medical Image Segmentation Algorithms by Cappabianco, Fabio A. M., Ribeiro, Pedro F. O., de Miranda, Paulo A. V., Udupa, Jayaram K.

    “…Evaluating medical imaging segmentation is a very complex problem. Several papers proposed methodologies and different metrics pursuing more reliable and…”
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    Conference Proceeding
  19. 19

    Oriented image foresting transform segmentation with connectivity constraints by Mansilla, Lucy A. C., Miranda, Paulo A. V., Cappabianco, Fabio A. M.

    “…A new algorithm, named Connected Oriented Image Foresting Transform (COIFT), is proposed, which provides global optimum solutions according to a graph-cut…”
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    Conference Proceeding
  20. 20

    Non-Local Operational Anisotropic Diffusion Filter by Cappabianco, Fabio A. M., dos Santos, Sergio R. B., Ide, Jaime S., da Silva, Petrus P. C. E.

    “…High-frequency noise is present in several modalities of medical images. It originates from the acquisition process, scanner configurations, the scanned body,…”
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    Conference Proceeding