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)

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)

Segmentation of Brain Structures by Watershed Transform on Tensorial Morphological Gradient of Diffusion Tensor Imaging. - Letícia Rittner; Simone Appenzeller; Roberto A. Lotufo (SIBGRAPI, 2009)

Watershed-Based Segmentation of the Midsagittal Section of the Corpus Callosum in Diffusion MRI. - Pedro Freitas; Letícia Rittner; Simone Appenzeller; Roberto A. Lotufo (SIBGRAPI, 2011)

Watershed-based segmentation of the corpus callosum in diffusion MRI. - Pedro Freitas; Letícia Rittner; Simone Appenzeller; Aline Lapa; Roberto A. Lotufo (Image Processing, 2012)

Analysis of brain white matter hyperintensities using pattern recognition techniques. - Mariana P. Bento; Letícia Rittner; Simone Appenzeller; Aline Lapa; Roberto A. Lotufo (Image Processing, 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 A. Lotufo (J. Math. Imaging Vis., 2013)

Mid-callosal plane determination using preferred directions from diffusion tensor images. - André Luis Costa; Letícia Rittner; Roberto A. Lotufo; Simone Appenzeller (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Data-Driven Corpus Callosum Parcellation Method Through Diffusion Tensor Imaging. - Giovana Cover; Mariana Pereira; Mariana P. Bento; Simone Appenzeller; Letícia Rittner (IEEE Access, 2017)

Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study. - Roberto Souza 001; Oeslle Lucena; Mariana P. Bento; Julia Garrafa; Simone Appenzeller; Letícia Rittner; Roberto A. Lotufo; Richard Frayne (ISBI, 2018)

Corpus callosum parcellation methods: a quantitative comparative study. - Mariana Pereira; Giovana Cover; Simone Appenzeller; Letícia Rittner (Biomedical Applications in Molecular, Structural, and Functional Imaging, 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)

An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement. - Roberto Souza 001; Oeslle Lucena; Julia Garrafa; David G. Gobbi; Marina Salluzzi; Simone Appenzeller; Letícia Rittner; Richard Frayne; Roberto A. Lotufo (NeuroImage, 2018)

Improving estimates of brain metabolite concentrations in MR spectroscopic imaging (MRSI) through MRI content. - Juliana Fontolan; Danilo Pereira; Roberto Souza 001; Simone Appenzeller; Letícia Rittner (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation. - Roberto Souza 001; Oeslle Lucena; Mariana P. Bento; Julia Garrafa; Letícia Rittner; Simone Appenzeller; Roberto A. Lotufo; Richard Frayne (SIBGRAPI, 2019)

Open-source toolbox for analysis and spectra quality control of magnetic resonance spectroscopic imaging. - Danilo Pereira; Larissa Ganaha; Simone Appenzeller; Letícia Rittner (Biomedical Applications in Molecular, Structural, and Functional Imaging, 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 (Image Processing, 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)

Automated quality check of corpus callosum segmentation using deep learning. - William J. Herrera; Simone Appenzeller; Fabiano Reis; Danilo Pereira; Mariana P. Bento; Letícia Rittner (Image Processing, 2022)

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 (Computer-Aided Diagnosis, 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 (SIPAIM, 2023)

Corpus Callosum Parcellation Methods: What Can Tractography Tell Us About Them? - Caio Pinheiro Santana; Claudio Román; Simone Appenzeller; Pamela Guevara; Letícia Rittner (CDMRI@MICCAI, 2024)

Training a Vision Transformer Model on Shape Signatures for Quality Control of MRI Corpus Callosum Segmentations. - Suellen S. Silva; Joany S. Rodrigues; Paulo Rogério Julio; Simone Appenzeller; Letícia Rittner (SIPAIM, 2024)

H-SynEx: Using synthetic images and ultra-high resolution ex vivo MRI for hypothalamus subregion segmentation. - Lívia Rodrigues 001; Martina Bocchetta; Oula Puonti; Douglas N. Greve; Ana Carolina Londe; Marcondes França; Simone Appenzeller; Juan Eugenio Iglesias; Letícia Rittner (CoRR, 2024)

High-resolution segmentations of the hypothalamus and its subregions for training of segmentation models. - Lívia Rodrigues 001; Martina Bocchetta; Oula Puonti; Douglas N. Greve; Ana Carolina Londe; Marcondes França; Simone Appenzeller; Letícia Rittner; Juan Eugenio Iglesias (CoRR, 2024)