Simone Appenzeller

According to our database, Simone Appenzeller authored at least 22 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

H-SynEx: Using synthetic images and ultra-high resolution ex vivo MRI for hypothalamus subregion segmentation.

Lívia Rodrigues, Martina Bocchetta, Oula Puonti, Douglas N. Greve, Ana Carolina Londe, Marcondes França, Simone Appenzeller, Juan Eugenio Iglesias, Letícia Rittner

CoRR, 2024

2023

DTI-based Corpus Callosum parcellation using the Tensorial Morphological Gradient and Self-Organizing Maps.

Caio Pinheiro Santana, Thays Abreu, Joany Rodrigues, Paulo Rogério Julio, Simone Appenzeller, Letícia Rittner

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

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

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

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022

Automated quality check of corpus callosum segmentation using deep learning.

William J. Herrera, Simone Appenzeller, Fabiano Reis, Danilo Pereira, Mariana P. Bento, Letícia Rittner

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021

inCCsight: A software for exploration and visualization of DT-MRI data of the Corpus Callosum.

Thaïs Caldeira, Paulo Rogério Julio, Simone Appenzeller, Letícia Rittner

Comput. Graph., 2021

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

Gustavo R. Pinheiro, Lorenza Brusini, Albulena Bajrami, Francesca B. Pizzini, Massimiliano Calabrese, Fabiano Reis, Simone Appenzeller, Gloria Menegaz, Letícia Rittner

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

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

Danilo Pereira, Larissa Ganaha, Simone Appenzeller, Letícia Rittner

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2019

Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation.

Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Letícia Rittner, Simone Appenzeller, Roberto de Alencar Lotufo, Richard Frayne

Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images, 2019

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 of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

2018

An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement.

Roberto Souza, Oeslle Lucena, Julia Garrafa, David G. Gobbi, Marina Salluzzi, Simone Appenzeller, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo

NeuroImage, 2018

Computational methods for corpus callosum segmentation on MRI: A systematic literature review.

Giovana Cover, William Garcia Herrera, Mariana P. Bento, Simone Appenzeller, Letícia Rittner

Comput. Methods Programs Biomed., 2018

Corpus callosum parcellation methods: a quantitative comparative study.

Mariana Pereira, Giovana Cover, Simone Appenzeller, Letícia Rittner

Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study.

Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Simone Appenzeller, Letícia Rittner, Roberto de Alencar Lotufo, Richard Frayne

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Data-Driven Corpus Callosum Parcellation Method Through Diffusion Tensor Imaging.

Giovana Cover, Mariana Pereira, Mariana P. Bento, Simone Appenzeller, Letícia Rittner

IEEE Access, 2017

2015

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

André Luis Costa, Letícia Rittner, Roberto de Alencar Lotufo, Simone Appenzeller

Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

2013

Analysis of Scalar Maps for the Segmentation of the Corpus Callosum in Diffusion Tensor Fields.

Letícia Rittner, Jennifer S. W. Campbell, Pedro Freitas, Simone Appenzeller, G. Bruce Pike, Roberto de Alencar Lotufo

J. Math. Imaging Vis., 2013

Analysis of brain white matter hyperintensities using pattern recognition techniques.

Mariana P. Bento, Letícia Rittner, Simone Appenzeller, Aline Lapa, Roberto de Alencar Lotufo

Proceedings of the Medical Imaging 2013: Image Processing, 2013

2012

Watershed-based segmentation of the corpus callosum in diffusion MRI.

Pedro Freitas, Letícia Rittner, Simone Appenzeller, Aline Lapa, Roberto de Alencar Lotufo

Proceedings of the Medical Imaging 2012: Image Processing, 2012

2011

Watershed-Based Segmentation of the Midsagittal Section of the Corpus Callosum in Diffusion MRI.

Pedro Freitas, Letícia Rittner, Simone Appenzeller, Roberto de Alencar Lotufo

Proceedings of the 24th SIBGRAPI Conference on Graphics, 2011

2009

Segmentation of Brain Structures by Watershed Transform on Tensorial Morphological Gradient of Diffusion Tensor Imaging.

Letícia Rittner, Simone Appenzeller, Roberto de Alencar Lotufo

Proceedings of the SIBGRAPI 2009, 2009

2007

Longitudinal analysis of gray and white matter loss in patients with systemic lupus erythematosus.

Simone Appenzeller, Leonardo Bonilha, Pablo A. Rio, Li Min Li, Lilan Tereza Lavras Costallat, Fernando Cendes

NeuroImage, 2007

2006

Gray matter atrophy associated with duration of temporal lobe epilepsy.

Leonardo Bonilha, Chris Rorden, Simone Appenzeller, Ana Carolina Coan, Fernando Cendes, Li Min Li

NeuroImage, 2006