Simone Appenzeller

26 papers B 4Journal 10Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
H-SynEx: Using synthetic images and ultra-high resolution ex vivo MRI for hypothalamus subregion segmentation.
Artif. Intell. Medicine
Lívia Rodrigues, Martina Bocchetta, Oula Puonti, Douglas N. Greve, Ana Carolina Londe, Marcondes França, Simone Appenzeller, Juan Eugenio Iglesias, Letícia Rittner
2024 — conf
Corpus Callosum Parcellation Methods: What Can Tractography Tell Us About Them?
CDMRI@MICCAI
Caio Pinheiro Santana, Claudio Román, Simone Appenzeller, Pamela Guevara, Letícia Rittner
2024 J jnl
H-SynEx: Using synthetic images and ultra-high resolution ex vivo MRI for hypothalamus subregion segmentation.
CoRR
Lívia Rodrigues, Martina Bocchetta, Oula Puonti, Douglas N. Greve, Ana Carolina Londe, Marcondes França, Simone Appenzeller, Juan Eugenio Iglesias, Letícia Rittner
2024 J jnl
High-resolution segmentations of the hypothalamus and its subregions for training of segmentation models.
CoRR
Lívia Rodrigues, Martina Bocchetta, Oula Puonti, Douglas N. Greve, Ana Carolina Londe, Marcondes França, Simone Appenzeller, Letícia Rittner, Juan Eugenio Iglesias
2024 — conf
Training a Vision Transformer Model on Shape Signatures for Quality Control of MRI Corpus Callosum Segmentations.
SIPAIM
Suellen S. Silva, Joany S. Rodrigues, Paulo Rogério Julio, Simone Appenzeller, Letícia Rittner
2023 — conf
DTI-based Corpus Callosum parcellation using the Tensorial Morphological Gradient and Self-Organizing Maps.
SIPAIM
Caio Pinheiro Santana, Thays Abreu, Joany Rodrigues, Paulo Rogério Julio, Simone Appenzeller, Letícia Rittner
2023 — conf
Volumetric corpus callosum segmentation integrated to inCCsight software for supporting DTI-based studies.
Computer-Aided Diagnosis
João Vitor Alcantara, Joany Rodrigues, Paulo Rogério Julio, Simone Appenzeller, Letícia Rittner
2022 B conf
Automated quality check of corpus callosum segmentation using deep learning.
Image Processing
William J. Herrera, Simone Appenzeller, Fabiano Reis, Danilo Pereira, Mariana P. Bento, Letícia Rittner
2021 B conf
Diffusion MRI and silver standard masks to improve CNN-based thalamus segmentation.
Image Processing
Gustavo R. Pinheiro, Lorenza Brusini, Albulena Bajrami, Francesca B. Pizzini, Massimiliano Calabrese, Fabiano Reis, Simone Appenzeller, Gloria Menegaz, Letícia Rittner
2021 — conf
Open-source toolbox for analysis and spectra quality control of magnetic resonance spectroscopic imaging.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Danilo Pereira, Larissa Ganaha, Simone Appenzeller, Letícia Rittner
2021 J jnl
inCCsight: A software for exploration and visualization of DT-MRI data of the Corpus Callosum.
Comput. Graph.
Thaïs Caldeira, Paulo Rogério Julio, Simone Appenzeller, Letícia Rittner
2019 — conf
Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation.
SIBGRAPI
Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Letícia Rittner, Simone Appenzeller, Roberto A. Lotufo, Richard Frayne
2019 — conf
Improving estimates of brain metabolite concentrations in MR spectroscopic imaging (MRSI) through MRI content.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Juliana Fontolan, Danilo Pereira, Roberto Souza, Simone Appenzeller, Letícia Rittner
2018 J jnl
An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement.
NeuroImage
Roberto Souza, Oeslle Lucena, Julia Garrafa, David G. Gobbi, Marina Salluzzi, Simone Appenzeller, Letícia Rittner, Richard Frayne, Roberto A. Lotufo
2018 J jnl
Computational methods for corpus callosum segmentation on MRI: A systematic literature review.
Comput. Methods Programs Biomed.
Giovana Cover, William Garcia Herrera, Mariana P. Bento, Simone Appenzeller, Letícia Rittner
2018 — conf
Corpus callosum parcellation methods: a quantitative comparative study.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Mariana Pereira, Giovana Cover, Simone Appenzeller, Letícia Rittner
2018 — conf
Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study.
ISBI
Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Simone Appenzeller, Letícia Rittner, Roberto A. Lotufo, Richard Frayne
2017 J jnl
Data-Driven Corpus Callosum Parcellation Method Through Diffusion Tensor Imaging.
IEEE Access
Giovana Cover, Mariana Pereira, Mariana P. Bento, Simone Appenzeller, Letícia Rittner
2015 — conf
Mid-callosal plane determination using preferred directions from diffusion tensor images.
Biomedical Applications in Molecular, Structural, and Functional Imaging
André Luis Costa, Letícia Rittner, Roberto A. Lotufo, Simone Appenzeller
2013 J jnl
Analysis of Scalar Maps for the Segmentation of the Corpus Callosum in Diffusion Tensor Fields.
J. Math. Imaging Vis.
Letícia Rittner, Jennifer S. W. Campbell, Pedro Freitas, Simone Appenzeller, G. Bruce Pike, Roberto A. Lotufo
2013 B conf
Analysis of brain white matter hyperintensities using pattern recognition techniques.
Image Processing
Mariana P. Bento, Letícia Rittner, Simone Appenzeller, Aline Lapa, Roberto A. Lotufo
2012 B conf
Watershed-based segmentation of the corpus callosum in diffusion MRI.
Image Processing
Pedro Freitas, Letícia Rittner, Simone Appenzeller, Aline Lapa, Roberto A. Lotufo
2011 — conf
Watershed-Based Segmentation of the Midsagittal Section of the Corpus Callosum in Diffusion MRI.
SIBGRAPI
Pedro Freitas, Letícia Rittner, Simone Appenzeller, Roberto A. Lotufo
2009 — conf
Segmentation of Brain Structures by Watershed Transform on Tensorial Morphological Gradient of Diffusion Tensor Imaging.
SIBGRAPI
Letícia Rittner, Simone Appenzeller, Roberto A. Lotufo
2007 J jnl
Longitudinal analysis of gray and white matter loss in patients with systemic lupus erythematosus.
NeuroImage
Simone Appenzeller, Leonardo Bonilha, Pablo A. Rio, Li Min Li, Lilan Tereza Lavras Costallat, Fernando Cendes
2006 J jnl
Gray matter atrophy associated with duration of temporal lobe epilepsy.
NeuroImage
Leonardo Bonilha, Chris Rorden, Simone Appenzeller, Ana Carolina Coan, Fernando Cendes, Li Min Li