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2020 – today
- 2024
[i2]Lívia Rodrigues, Martina Bocchetta, Oula Puonti, Douglas N. Greve, Ana Carolina Londe, Marcondes França, Simone Appenzeller, Juan Eugenio Iglesias, Letícia Rittner:
H-SynEx: Using synthetic images and ultra-high resolution ex vivo MRI for hypothalamus subregion segmentation. CoRR abs/2401.17104 (2024)- [i1]Lívia Rodrigues, Martina Bocchetta, Oula Puonti, Douglas N. Greve, Ana Carolina Londe, Marcondes França, Simone Appenzeller, Letícia Rittner, Juan Eugenio Iglesias:
High-resolution segmentations of the hypothalamus and its subregions for training of segmentation models. CoRR abs/2406.19492 (2024) - 2023
- [c14]João Vitor Alcantara, Joany Rodrigues, Paulo Rogério Julio, Simone Appenzeller, Letícia Rittner
:
Volumetric corpus callosum segmentation integrated to inCCsight software for supporting DTI-based studies. Medical Imaging: Computer-Aided Diagnosis 2023 - [c13]Caio Pinheiro Santana, Thays Abreu, Joany Rodrigues, Paulo Rogério Julio, Simone Appenzeller, Letícia Rittner:
DTI-based Corpus Callosum parcellation using the Tensorial Morphological Gradient and Self-Organizing Maps. SIPAIM 2023: 1-5 - 2022
- [c12]William J. Herrera, Simone Appenzeller, Fabiano Reis, Danilo Pereira, Mariana P. Bento, Letícia Rittner:
Automated quality check of corpus callosum segmentation using deep learning. Medical Imaging: Image Processing 2022 - 2021
- [j7]Thaïs Caldeira, Paulo Rogério Julio, Simone Appenzeller, Letícia Rittner:
inCCsight: A software for exploration and visualization of DT-MRI data of the Corpus Callosum. Comput. Graph. 99: 259-271 (2021) - [c11]Danilo Pereira, Larissa Ganaha, Simone Appenzeller, Letícia Rittner:
Open-source toolbox for analysis and spectra quality control of magnetic resonance spectroscopic imaging. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c10]Gustavo R. Pinheiro, Lorenza Brusini, Albulena Bajrami, Francesca B. Pizzini, Massimiliano Calabrese, Fabiano Reis, Simone Appenzeller, Gloria Menegaz, Letícia Rittner:
Diffusion MRI and silver standard masks to improve CNN-based thalamus segmentation. Medical Imaging: Image Processing 2021
2010 – 2019
- 2019
- [c9]Juliana Fontolan, Danilo Pereira, Roberto Souza, Simone Appenzeller, Letícia Rittner:
Improving estimates of brain metabolite concentrations in MR spectroscopic imaging (MRSI) through MRI content. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109530V - [c8]Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Letícia Rittner, Simone Appenzeller, Roberto de Alencar Lotufo, Richard Frayne:
Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation. SIBGRAPI 2019: 234-240 - 2018
- [j6]Giovana Cover, William Garcia Herrera, Mariana P. Bento, Simone Appenzeller, Letícia Rittner:
Computational methods for corpus callosum segmentation on MRI: A systematic literature review. Comput. Methods Programs Biomed. 154: 25-35 (2018) - [j5]Roberto Souza, Oeslle Lucena, Julia Garrafa, David G. Gobbi, Marina Salluzzi, Simone Appenzeller, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo:
An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement. NeuroImage 170: 482-494 (2018) - [c7]Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Simone Appenzeller, Letícia Rittner, Roberto de Alencar Lotufo, Richard Frayne:
Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study. ISBI 2018: 1344-1347 - [c6]Mariana Pereira, Giovana Cover, Simone Appenzeller, Letícia Rittner:
Corpus callosum parcellation methods: a quantitative comparative study. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 1057817 - 2017
- [j4]Giovana Cover, Mariana Pereira, Mariana P. Bento, Simone Appenzeller, Letícia Rittner:
Data-Driven Corpus Callosum Parcellation Method Through Diffusion Tensor Imaging. IEEE Access 5: 22421-22432 (2017) - 2015
- [c5]André Luis Costa, Letícia Rittner, Roberto de Alencar Lotufo, Simone Appenzeller:
Mid-callosal plane determination using preferred directions from diffusion tensor images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94172A - 2013
- [j3]Letícia Rittner, Jennifer S. W. Campbell, Pedro Freitas, Simone Appenzeller, G. Bruce Pike, Roberto de Alencar Lotufo:
Analysis of Scalar Maps for the Segmentation of the Corpus Callosum in Diffusion Tensor Fields. J. Math. Imaging Vis. 45(3): 214-226 (2013) - [c4]Mariana P. Bento, Letícia Rittner, Simone Appenzeller, Aline Lapa, Roberto de Alencar Lotufo:
Analysis of brain white matter hyperintensities using pattern recognition techniques. Medical Imaging: Image Processing 2013: 86693P - 2012
- [c3]Pedro Freitas, Letícia Rittner, Simone Appenzeller, Aline Lapa, Roberto de Alencar Lotufo:
Watershed-based segmentation of the corpus callosum in diffusion MRI. Medical Imaging: Image Processing 2012: 831432 - 2011
- [c2]Pedro Freitas, Letícia Rittner, Simone Appenzeller, Roberto de Alencar Lotufo:
Watershed-Based Segmentation of the Midsagittal Section of the Corpus Callosum in Diffusion MRI. SIBGRAPI 2011: 274-280
2000 – 2009
- 2009
- [c1]Letícia Rittner, Simone Appenzeller, Roberto de Alencar Lotufo:
Segmentation of Brain Structures by Watershed Transform on Tensorial Morphological Gradient of Diffusion Tensor Imaging. SIBGRAPI 2009: 126-132 - 2007
- [j2]Simone Appenzeller, Leonardo Bonilha, Pablo A. Rio, Li Min Li, Lilan Tereza Lavras Costallat, Fernando Cendes:
Longitudinal analysis of gray and white matter loss in patients with systemic lupus erythematosus. NeuroImage 34(2): 694-701 (2007) - 2006
- [j1]Leonardo Bonilha, Chris Rorden, Simone Appenzeller, Ana Carolina Coan, Fernando Cendes, Li Min Li:
Gray matter atrophy associated with duration of temporal lobe epilepsy. NeuroImage 32(3): 1070-1079 (2006)
Coauthor Index
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