Prof. Roberto A. Lotufo Profile

Prof. Roberto A. Lotufo

at Univ of Campinas

SPIE Involvement:

Author

Publications (21)

Proceedings Article | 10 December 2021 Paper

Multitasking segmentation of lung and COVID-19 findings in CT scans using modified EfficientDet, UNet and MobileNetV3 models

Diedre Carmo, Israel Campiotti, Irene Fantini, Lívia Rodrigues, Letícia Rittner, Roberto Lotufo

Proceedings Volume 12088, 1208809 (2021) https://doi.org/10.1117/12.2606118

KEYWORDS: Lung, Computed tomography, Image segmentation, Data modeling, Opacity, Convolution, 3D modeling, Visualization, X-ray computed tomography, Machine learning

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Proceedings Article | 16 March 2020 Presentation + Paper

An extended-2D CNN for multiclass Alzheimer's Disease diagnosis through structural MRI

Mariana Pereira, Irene Fantini, Roberto Lotufo, Leticia Rittner

Proceedings Volume 11314, 113141V (2020) https://doi.org/10.1117/12.2550753

KEYWORDS: Magnetic resonance imaging, Alzheimer's disease, Data modeling, Brain, Neuroimaging, Image classification

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Proceedings Article | 24 March 2016 Paper

3D texture-based classification applied on brain white matter lesions on MR images

Mariana Leite, David Gobbi, Marina Salluzi, Richard Frayne, Roberto Lotufo, Letícia Rittner

Proceedings Volume 9785, 97852N (2016) https://doi.org/10.1117/12.2216285

KEYWORDS: Magnetic resonance imaging, 3D image processing, Brain, Neuroimaging, 3D acquisition, Image processing, Databases, Algorithm development, Statistical analysis, Image classification

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Proceedings Article | 17 March 2015 Paper

Mid-callosal plane determination using preferred directions from diffusion tensor images

André Costa, Letícia Rittner, Roberto Lotufo, Simone Appenzeller

Proceedings Volume 9417, 94172A (2015) https://doi.org/10.1117/12.2082497

KEYWORDS: Microchannel plates, Brain, Neodymium, Neuroimaging, Diffusion tensor imaging, Diffusion, Image registration, Electroluminescent displays, Visualization, Statistical analysis

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Proceedings Article | 17 March 2015 Paper

Web-based platform for collaborative medical imaging research

Leticia Rittner, Mariana Bento, André Costa, Roberto Souza, Rubens Machado, Roberto Lotufo

Proceedings Volume 9418, 94180B (2015) https://doi.org/10.1117/12.2081697

KEYWORDS: Medical imaging, Image processing, Image segmentation, Medical research, Brain, Clouds, Internet, Analytical research, Inspection, Image analysis

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SPIE Journal Paper | 19 February 2015

Etiology-based classification of brain white matter hyperintensity on magnetic resonance imaging

Mariana Leite, Leticia Rittner, Simone Appenzeller, Heloísa Helena Ruocco, Roberto Lotufo

JMI, Vol. 2, Issue 01, 014002, (February 2015) https://doi.org/10.1117/12.10.1117/1.JMI.2.1.014002

KEYWORDS: Magnetic resonance imaging, Feature selection, Brain, Neuroimaging, Principal component analysis, Quantization, Image segmentation, Tissues, Feature extraction, Image classification

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Proceedings Article | 13 March 2013 Paper

Analysis of brain white matter hyperintensities using pattern recognition techniques

Mariana Bento, Letícia Rittner, Simone Appenzeller, Aline Lapa, Roberto Lotufo

Proceedings Volume 8669, 86693P (2013) https://doi.org/10.1117/12.2006924

KEYWORDS: Brain, Feature selection, Magnetic resonance imaging, Image segmentation, Pattern recognition, Neuroimaging, Tissues, Image classification, Medical imaging, Databases

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Proceedings Article | 14 February 2012 Paper

Watershed-based segmentation of the corpus callosum in diffusion MRI

Pedro Freitas, Leticia Rittner, Simone Appenzeller, Aline Lapa, Roberto Lotufo

Proceedings Volume 8314, 831432 (2012) https://doi.org/10.1117/12.911619

KEYWORDS: Image segmentation, Diffusion, Brain, Diffusion magnetic resonance imaging, Magnetism, Brain mapping, Anisotropy, Diffusion tensor imaging, 3D image processing, Magnetic resonance imaging

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Proceedings Article | 27 March 2009 Paper

Segmentation of DTI based on tensorial morphological gradient

Leticia Rittner, Roberto de Alencar Lotufo

Proceedings Volume 7259, 72591E (2009) https://doi.org/10.1117/12.811754

KEYWORDS: Image segmentation, Diffusion tensor imaging, Diffusion, Anisotropy, Mathematical morphology, Chemical elements, Image processing, Distortion, Spinal cord, Magnetic resonance imaging

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Proceedings Article | 16 February 2006 Paper

K-max: segmentation based on selection of max-tree deep nodes

Alexandre Silva, Siovani Felipussi, Roberto de Alencar Lotufo, Gustavo Cassol

Proceedings Volume 6064, 60640M (2006) https://doi.org/10.1117/12.643462

KEYWORDS: Image segmentation, Image processing, Image processing algorithms and systems, Expectation maximization algorithms, Image retrieval, Chemical elements, Image filtering, Reconstruction algorithms, Video, Binary data

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SPIE Press Book | 24 July 2003

Hands-on Morphological Image Processing

Edward Dougherty, Roberto Lotufo

KEYWORDS: Image filtering, Image processing, Binary data, Image segmentation, Digital filtering, Signal processing, Mathematical morphology, Optimal filtering, Electronic filtering, Digital imaging

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Proceedings Article | 3 July 2001 Paper

Design of connected operators using the image foresting transform

Alexandre Falcao, Bruno Cunha, Roberto Lotufo

Proceedings Volume 4322, (2001) https://doi.org/10.1117/12.431120

KEYWORDS: Image segmentation, Image filtering, Medical imaging, Bone, Binary data, Nonlinear filtering, Image processing, Surgery, Gaussian filters, Domes

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Proceedings Article | 7 June 2000 Paper

Automated specular microscopy in slit lamp

Cesar Caetano, Liliane Ventura, Sidney Faria de Sousa, Flavio Isaac, Roberto Lotufo

Proceedings Volume 3908, (2000) https://doi.org/10.1117/12.387535

KEYWORDS: Cornea, Lamps, Image processing, Image quality, Microscopy, Stereolithography, Imaging systems, Eye, Physics, Mathematics

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Proceedings Article | 18 June 1999 Paper

Optical system and image processing of endothelial cells of donated cornea

Liliane Ventura, Cesar Caetano, Sidney Faria de Sousa, Roberto Lotufo

Proceedings Volume 3591, (1999) https://doi.org/10.1117/12.350589

KEYWORDS: Cornea, Image processing, Stereolithography, Software development, Eye, Lamps, Image analysis, Image quality, Microscopy, Charge-coupled devices

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Proceedings Article | 21 May 1999 Paper

Fuzzy connected object definition in images with respect to co-objects

Jayaram Udupa, Punam Saha, Roberto Lotufo

Proceedings Volume 3661, (1999) https://doi.org/10.1117/12.348578

KEYWORDS: Fuzzy logic, Image segmentation, Chemical elements, Angiography, Image processing, Algorithms, Binary data, Magnetic resonance imaging, Zinc, Arteries

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Tangible solutions to practical image segmentation are vital to ensure progress in many applications of medical imaging. Toward this goal, we previously proposed a theory and algorithms for fuzzy connected object definition in n- dimensional images. Their effectiveness has been demonstrated in several applications including multiple sclerosis lesion detection/delineation, MR Angiography, and craniofacial imaging. The purpose of this work is to extend the earlier theory and algorithms to fuzzy connected object definition that considers all relevant objects in the image simultaneously. In the previous theory, delineation of the final object from the fuzzy connectivity scene required the selection of a threshold that specifies the weakest `hanging-togetherness' of image elements relative to each other in the object. Selection of such a threshold was not trivial and has been an active research area. In the proposed method of relative fuzzy connectivity, instead of defining an object on its own based on the strength of connectedness, all co-objects of importance that are present in the image are also considered and the objects are let to compete among themselves in having image elements as their members. In this competition, every pair of elements in the image will have a strength of connectedness in each object. The object in which this strength is highest will claim membership of the elements. This approach to fuzzy object definition using a relative strength of connectedness eliminates the need for a threshold of strength of connectedness that was part of the previous definition. It seems to be more natural since it relies on the fact that an object gets defined in an image by the presence of other objects that coexist in the image. All specified objects are defined simultaneously in this approach. The concept of iterative relative fuzzy connectivity has also been introduced. Robustness of relative fuzzy objects with respect to selection of reference image elements has been established. The effectiveness of the proposed method has been demonstrated using a patient's 3D contrast enhanced MR angiogram and a 2D phantom scene.

Proceedings Article | 8 March 1999 Paper

Using machine vision to estimate bird weight in the poultry industry

Roberto Lotufo, Miguel Taube-Netto, Eduardo Conejo, Francisco Hoyos

Proceedings Volume 3652, (1999) https://doi.org/10.1117/12.341152

KEYWORDS: Image segmentation, Machine vision, Computing systems, Breast, Image processing, Binary data, Computer vision technology, Neck, Feature extraction, Particles

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Proceedings Article | 6 April 1998 Paper

OCR based on mathematical morphology

Junior Barrera, Routo Terada, Roberto Lotufo, Nina Hirata, Roberto Hirata, F. Zampirolli

Proceedings Volume 3304, (1998) https://doi.org/10.1117/12.304600

KEYWORDS: Optical character recognition, Image segmentation, Image processing, Mathematical morphology, Information fusion, Prototyping, Image compression, Mathematics, System integration, Picture Archiving and Communication System

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SPIE Journal Paper | 1 January 1998

MMach: a mathematical morphology toolbox for the KHOROS system

Junior Barrera, Gerald Banon, Roberto Lotufo, Roberto Hirata

JEI, Vol. 7, Issue 01, (January 1998) https://doi.org/10.1117/12.10.1117/1.482637

KEYWORDS: Binary data, Image segmentation, Image filtering, Mathematical morphology, Image processing, Visualization, Image enhancement, Reconstruction algorithms, Image visualization, Human-machine interfaces

Proceedings Article | 11 August 1995 Paper

Mathematical morphology tools for 3D image analysis of porous media

Ulisses Braga-Neto, Roberto Lotufo

Proceedings Volume 2568, (1995) https://doi.org/10.1117/12.216347

KEYWORDS: Neck, 3D image processing, Mathematical morphology, Image analysis, Image segmentation, Binary data, Solids, 3D modeling, Statistical analysis, Digital imaging

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Proceedings Article | 30 June 1994 Paper

Mathematical morphology toolbox for the KHOROS system

Junior Barrera, Gerald Banon, Roberto Lotufo

Proceedings Volume 2300, (1994) https://doi.org/10.1117/12.179195

KEYWORDS: Binary data, Mathematical morphology, Image segmentation, Associative arrays, Image processing, Image filtering, Visualization, Human-machine interfaces, Surface plasmons, Image visualization

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Proceedings Article | 22 September 1992 Paper

Combining shape-based and gray-level interpolations

Roberto Lutufo, Gabor Herman, Jayaram Udupa

Proceedings Volume 1808, (1992) https://doi.org/10.1117/12.131085

KEYWORDS: Visualization, Biomedical optics, Skull, Binary data, Medical imaging, 3D image processing, Brain, Image resolution, Magnetic resonance imaging, Image segmentation

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Showing 5 of 21 publications

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