Prof. Leticia Rittner Profile

Prof. Leticia Rittner

Associate Professor at Univ of Campinas

SPIE Involvement:

Conference Program Committee | Author | Editor

Websites:

Personal Website | Company Website

Publications (19)

Proceedings Article | 7 April 2023 Poster + Paper

Volumetric corpus callosum segmentation integrated to inCCsight software for supporting DTI-based studies

João Vitor Alcantara, Joany Rodrigues, Paulo Rogério Julio, Simone Appenzeller, Leticia Rittner

Proceedings Volume 12465, 124652X (2023) https://doi.org/10.1117/12.2654459

KEYWORDS: Image segmentation, Visualization, Open source software, Diffusion tensor imaging, Quality control, Diffusion, 3D displays, Statistical analysis

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Proceedings Article | 4 April 2022 Poster + Paper

Automated quality check of corpus callosum segmentation using deep learning

William Herrera, Simone Appenzeller, Fabiano Reis, Danilo Rodrigues Pereira, Mariana Pinheiro Bento, Letícia Rittner

Proceedings Volume 12032, 120322Q (2022) https://doi.org/10.1117/12.2612835

KEYWORDS: Image segmentation, Tumors, Magnetic resonance imaging, Machine learning, Brain, Convolutional neural networks

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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 | 10 December 2021 Paper

Volumetric segmentation of the corpus callosum: training a deep learning model on diffusion MRI

Joany Rodrigues, Gustavo Pinheiro, Diedre Carmo, Letícia Rittner

Proceedings Volume 12088, 120880N (2021) https://doi.org/10.1117/12.2606233

KEYWORDS: Image segmentation, Diffusion, Diffusion tensor imaging, 3D modeling, Anisotropy, Magnetic resonance imaging, Diffusion magnetic resonance imaging, Visualization, Performance modeling

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Diffusion MRI and silver standard masks to improve CNN-based thalamus segmentation

G. Pinheiro, L. Brusini, A. Bajrami, F. Pizzini, M. Calabrese, F. Reis, S. Appenzeller, G. Menegaz, L. Rittner

Proceedings Volume 11596, 115962L (2021) https://doi.org/10.1117/12.2581895

KEYWORDS: Thalamus, Silver, Diffusion magnetic resonance imaging, Brain, Image segmentation, Tissues, Parkinson's disease, Neurological disorders, Diffusion, Convolutional neural networks

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Proceedings Article | 15 February 2021 Presentation + Paper

Open-source toolbox for analysis and spectra quality control of magnetic resonance spectroscopic imaging

Danilo Pereira, Larissa Ganaha, Simone Appenzeller, Leticia Rittner

Proceedings Volume 11600, 116000C (2021) https://doi.org/10.1117/12.2582186

KEYWORDS: Magnetic resonance imaging, Spectroscopy, Magnetism, Imaging spectroscopy, Analytical research, Visualization, Visual analytics, Tissues, Pathology, Optical inspection

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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 | 3 January 2020 Paper

Hypothalamus fully automatic segmentation from MR images using a U-Net based architecture

Livia Rodrigues, Thiago Rezende, Ariane Zanesco, Ana Luisa Hernandez, Marcondes Franca, Leticia Rittner

Proceedings Volume 11330, 113300J (2020) https://doi.org/10.1117/12.2542585

KEYWORDS: Image segmentation, Magnetic resonance imaging, Brain, Body temperature, Alzheimer's disease, Magnetism, Convolutional neural networks, Performance modeling

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Proceedings Article | 15 March 2019 Presentation + Paper

Improving estimates of brain metabolite concentrations in MR spectroscopic imaging (MRSI) through MRI content

Juliana Fontolan, Danilo Pereira, Roberto Souza, Simone Appenzeller, Letícia Rittner

Proceedings Volume 10953, 109530V (2019) https://doi.org/10.1117/12.2513101

KEYWORDS: Magnetic resonance imaging, Brain, Tissues, Signal to noise ratio, Imaging spectroscopy, Spectroscopy, Neuroimaging, Chemical analysis

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Proceedings Article | 12 March 2018 Presentation + Paper

Corpus callosum parcellation methods: a quantitative comparative study

Mariana Pereira, Giovana Cover , Simone Appenzeller, Leticia Rittner

Proceedings Volume 10578, 1057817 (2018) https://doi.org/10.1117/12.2296617

KEYWORDS: Diffusion, Image segmentation, Magnetic resonance imaging, Quantitative analysis, Diffusion tensor imaging, Structured optical fibers, Brain, Epilepsy, Algorithm development, Clinical research

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Proceedings Article | 12 March 2018 Presentation + Paper

Automatic callosal fiber convergence plane computation through DTI-based divergence map

Gustavo Pinheiro, Giovana Cover, Mariana Bento, Leticia Rittner

Proceedings Volume 10578, 1057815 (2018) https://doi.org/10.1117/12.2293381

KEYWORDS: Diffusion tensor imaging, Brain, Diffusion, Structured optical fibers, Magnetic resonance imaging, Brain mapping, Data conversion, Statistical analysis, Neuroimaging, Shape analysis

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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

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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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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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 | 21 March 2014 Paper

Multiple fuzzy object modeling improves sensitivity in automatic anatomy recognition

Leticia Rittner, Jayaram Udupa, Drew Torigian

Proceedings Volume 9034, 90342U (2014) https://doi.org/10.1117/12.2044297

KEYWORDS: Fuzzy logic, Data modeling, Performance modeling, Radiology, Computed tomography, Image processing, Skin, Detection and tracking algorithms, Esophagus, Image segmentation

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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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