Publications

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

Livia Rodrigues, Martina Bocchetta, Oula Puonti, Douglas Greve, Ana Carolina Londe, Marcondes França, Simone Appenzeller, Juan Eugenio Iglesias, Leticia Rittner
arXiv:2401.17104v1 [eess.IV] 30 Jan 2024

MedShapeNet — A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Jianning Li, Zongwei Zhou, Jiancheng Yang, et al.
arXiv:2308.16139v5 [cs.CV] 12 Dec 2023

MEDPSeg: End-to-end segmentation of pulmonary structures and lesions in computed tomography

Diedre S. Carmo, Jean Ribeiro, Alejandro P. Comellas, Joseph M. Reinhardt, Sarah E. Gerard, Letícia Rittner, Roberto A. Lotufo
arXiv:2312.02365v1 [eess.IV] 4 Dec 2023

Spectro-ViT: A Vision Transformer Model for GABA-edited MRS Reconstruction Using Spectrograms

Gabriel Dias, Rodrigo Pommot Berto, Mateus Oliveira, Lucas Ueda, Sergio Dertkigil, Paula D. P. Costa, Amirmohammad Shamaei, Roberto Souza, Ashley Harris, Leticia Rittner
arXiv:2311.15386v1 [eess.IV] 26 Nov 2023

Automatic segmentation of lung findings in CT and application to Long COVID

Diedre S. Carmo, Rosarie A. Tudas, Alejandro P. Comellas, Leticia Rittner, Roberto A. Lotufo, Joseph M. Reinhardt, Sarah E. Gerard
arXiv:2310.09446v1 [eess.IV] 13 Oct 2023

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, et al.
arXiv:2309.12325v1 [cs.CY] 11 Aug 2023

Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guide

Diedre Carmo, Gustavo Pinheiro, Lívia Rodrigues, Thays Abreu, Roberto Lotufo, Letícia Rittner
arXiv:2304.05901v1 [eess.IV] 12 Apr 2023

Microstructural Changes in the Corpus Callosum in Systemic Lupus Erythematous

Paulo Rogério Julio, Thais Caldeira, Gustavo Retuci Pinheiro, Carla Helena Capello, Renan Bazuco Fritolli, Roberto Marini, Fernando Cendes, Paula Teixeira Fernandes, Lilian TL Costallat, Leticia Rittner, Simone Appenzeller
Cells (v. 12, jan 2023, 355)

Reconsidering the olfactory and brain structures in Kallmann's syndrome: new findings in the analysis of volumetry

Marilia Bortolotto Felippe Trentin, Karla Borges Daniel, Fabiano Reis, Nivaldo Adolfo Silva Junior, Simone Appenzeller, Letícia Rittner, Cristina Benetti Pinto, Heraldo M. Garmes
Clinical Endocrinology (issue 19, dec 2022)

A benchmark for hypothalamus segmentation on T1-weighted MR images

Livia Rodrigues, Thiago Junqueira Ribeiro Rezende, Guilherme Wertheimer, Yves Santos, Marcondes França, Leticia Rittner
NeuroImage (v. 264 [1], dec 2022, 119741)

Open-source tool for Airway Segmentation in Computed Tomography using 2.5D Modified EfficientDet: Contribution to the ATM22 Challenge

Diedre Carmo, Leticia Rittner, Roberto Lotufo
arXiv:2209.15094v2 [eess.IV] 3 Oct 2022

A Systematic Review of Automated Segmentation Methods and Public Datasets for the Lung and its Lobes and Findings on Computed Tomography Images

Diedre Carmo, Jean Ribeiro, Sergio Dertkigil, Simone Appenzeller, Roberto Lotufo, Leticia Rittner
Yearbook of Medical Informatics (v. 31, aug 2022, 277-295)

Neuropsychiatric manifestations in childhood-onset systemic lupus erythematosus

Simone Appenzeller, Danilo Rodrigues Pereira, Paulo Rogério Julio, Fabiano Reis, Leticia Rittner, Roberto Marini
The Lancet Child & Adolescent Health (v. 6 [1], aug 2022, 571-581)

Multi-Coil MRI Reconstruction Challenge -- Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil Configurations

Youssef Beauferris, Jonas Teuwen, Dimitrios Karkalousos, et al.
arXiv:2011.07952v2 [eess.IV] 21 Dec 2021

Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging

Irene Fantini, Clarissa Yasuda, Mariana Bento, Letícia Rittner, Fernando Cendes, Roberto Lotufo
Computerized Medical Imaging and Graphics (v. 90 [1], jun 2021, 101897)

Hippocampus segmentation on epilepsy and Alzheimer's disease studies with multiple convolutional neural networks

Diedre Carmo, Bruna Silva, Alzheimer’s Disease Neuroimaging Initiative, Clarissa Yasuda, Letícia Rittner, Roberto Lotufo
Heliyon (v. 7 [2], feb 2021, e06226)

A framework for quality control of corpus callosum segmentation in large-scale studies

William Herrera, Mariana Pereira, Mariana Bento, Aline Lapa, Simone Appenzeller, Leticia Rittner
Journal of Neuroscience Methods (v. 334, mar 2020, 108593)

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, et al.
IEEE Transactions on Medical Imaging (v. 38 [11], nov 2019)

Extended 2D Consensus Hippocampus Segmentation

Diedre Carmo, Letícia Rittner, Roberto Lotufo, Bruna Silva, Clarissa Yasuda
Medical Imaging with Deep Learning (2019)

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 Gobbi, Marina Saluzzi, Simone Appenzeller, Letícia Rittner, Richard Frayne, Roberto Lotufo
Neuroimage (apr 15, 2018; 170:482-494)

Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks

Oeslle Lucena, Roberto Souza, Leticia Rittner, Richard Frayne, Roberto Lotufo
arXiv:1804.04988v1 [cs.CV] 13 Apr 2018

Silver Standard Masks for Data Augmentation Applied to Deep-Learning-Based Skull-Stripping

Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto Lotufo
arXiv:1710.08354v1 [eess.IV] 23 Oct 2017

iamxt: Max-tree toolbox for image processing and analysis

Roberto Souza, Letícia Rittner, Rubens Machado, Roberto Lotufo
SoftwareX (v. 6, 2017, 81-84)

Reduction of Cerebral and Corpus Callosum Volumes in Childhood-Onset Systemic Lupus Erythematosus

Aline Tamires Lapa, Mariana Postal, Nailú Angélica Sinicato, Weslley Geraldo Ferreira, Bruna Siqueira Bellini, Paula Teixeira Fernandes, Letícia Rittner, Roberto Marini, Fernando Cendes, Simone Appenzeller
Systemic Lupus Erythematosus (v. 68 [9], sep 2016, 2193-2199)

Divergence map from diffusion tensor imaging: Concepts and application to corpus callosum

Gustavo R. Pinheiro, Guilherme S. Soares, Andre Luís Costa, Roberto Alencar Lotufo, Letícia Rittner
Engineering in Medicine and Biology Society (EMBC), 2016

Etiology-based classification of brain white matter hyperintensity on magnetic resonance imaging

Mariana Leite, Letícia Rittner, Simone Appenzeller, Heloísa Helena Ruocco, Roberto Lotufo
Journal of Medical Imaging, 2015

A comparison between k-Optimum Path Forest and k-Nearest Neighbors supervised classifiers

Roberto Souza, Letícia Rittner, Roberto Lotufo
Pattern Recognition Letters (v. 39, apr 2014, 2-10)

Automatic DTI-based parcellation of the corpus callosum through the watershed transform

Letícia Rittner, Pedro Ferro Freitas, Simone Appenzeller, Roberto Lotufo
Brazilian Journal of Biomedical Engineering, 2014

A new approach for longitudinal study of white matter lesion based on texture variation

Mariana Leite, Aline Lapa, Simone Appenzeller, Roberto Lotufo, Letícia Rittner
XXV Congresso Brasileiro de Engenharia Biomédica (p. 963-966, 2016)