Letícia Rittner

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 56

Top Topics

Corpus Callosum

Convolutional Neural Networks

Magnetic Resonance

Top Venues

Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Processing

Publications

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 (2024)
Diedre Carmo, Letícia Rittner, Roberto de Alencar Lotufo
VisualT5: Multitasking Caption and Concept Prediction with Pre-trained ViT, T5 and Customized Spatial Attention in Radiological Images. CLEF (Working Notes) (2024)
Mateus Oliveira Da Silva, Caio Pinheiro Santana, Diedre Santos do Carmo, Letícia Rittner
FOD-Swin-Net: angular super resolution of fiber orientation distribution using a transformer-based deep model. CoRR (2024)
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 (2024)
Artur Paulo, Fabiano Filho, Tayran Olegário, Bruna Pinto, Rafael Loureiro, Guilherme Ribeiro, Camila Silva, Regiane Carvalho, Paulo Santos, Eduardo Reis, Giovanna Mendes, Joselisa de Paiva, Márcio Reis, Letícia Rittner
Brain Age Prediction Based on Head Computed Tomography Segmentation. MLCN@MICCAI (2023)
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)
Diedre S. Carmo, Rosarie A. Tudas, Alejandro P. Comellas, Letícia Rittner, Roberto de Alencar Lotufo, Joseph M. Reinhardt, Sarah E. Gerard
Automatic segmentation of lung findings in CT and application to Long COVID. CoRR (2023)
Diedre S. Carmo, Jean Ribeiro, Alejandro P. Comellas, Joseph M. Reinhardt, Sarah E. Gerard, Letícia Rittner, Roberto de Alencar Lotufo
MEDPSeg: End-to-end segmentation of pulmonary structures and lesions in computed tomography. CoRR (2023)
Brunna C. R. S. Furriel, Artur Paulo, Guilherme Ribeiro, Paulo Santos, Eduardo Reis, Giovanna Mendes, Joselisa Q. Paiva, Rafael Loureiro, Letícia Rittner, Márcio Reis
Convolutional Neural Network for Pleural Effusion Classification. LA-CCI (2023)
Márcio Vinícius De Jesus Almeida, Gabriel Santos Martins Dias, Mateus Oliveira Da Silva, Letícia Rittner
Magnetic Resonance Spectroscopy Fitting through Spectrogram and Vision Transformers. SIPAIM (2023)
Caio 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)
Gabriel Dias, Rodrigo Pommot Berto, Mateus Oliveira, Lucas H. Ueda, Sergio Dertkigil, Paula D. P. Costa, Amirmohammad Shamaei, Roberto Souza, Ashley Harris, Letícia Rittner
Spectro-ViT: A Vision Transformer Model for GABA-edited MRS Reconstruction Using Spectrograms. CoRR (2023)
Diedre Carmo, Gustavo R. Pinheiro, Lívia Rodrigues, Thays Abreu, Roberto de Alencar Lotufo, Letícia Rittner
Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guide. CoRR (2023)
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)
Diedre Carmo, Letícia Rittner, Roberto de Alencar Lotufo
Open-source tool for Airway Segmentation in Computed Tomography using 2.5D Modified EfficientDet: Contribution to the ATM22 Challenge. CoRR (2022)
Livia Rodrigues, Thiago Junqueira Ribeiro Rezende, Guilherme Wertheimer, Yves Santos, Marcondes França, Letícia Rittner
A benchmark for hypothalamus segmentation on T1-weighted MR images. NeuroImage 264 (2022)
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)
Irene Fantini, Clarissa L. Yasuda, Mariana P. Bento, Letícia Rittner, Fernando Cendes, Roberto de Alencar Lotufo
Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging. Comput. Medical Imaging Graph. 90 (2021)
Mariana P. Bento, Irene Fantini, Justin Park, Letícia Rittner, Richard Frayne
Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets. Frontiers Neuroinformatics 15 (2021)
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)
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 (2021)
Diedre Carmo, Letícia Rittner, Roberto de Alencar Lotufo
MultiATTUNet: Brain Tumor Segmentation and Survival Multitasking. BrainLes@MICCAI (1) (2020)
Youssef Beauferris, Jonas Teuwen, Dimitrios Karkalousos, Nikita Moriakov, Matthan W. A. Caan, Lívia Rodrigues, Alexandre Lopes, Hélio Pedrini, Letícia Rittner, Maik Dannecker, Viktor Studenyak, Fabian Gröger, Devendra Vyas, Shahrooz Faghih-Roohi, Amrit Kumar Jethi, JayaChandra Raju, Mohanasankar Sivaprakasam, Wallace Loos, Richard Frayne, Roberto Souza
Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils. CoRR (2020)
Diedre Carmo, Bruna Silva, Clarissa L. Yasuda, Letícia Rittner, Roberto de Alencar Lotufo
Hippocampus Segmentation on Epilepsy and Alzheimer's Disease Studies with Multiple Convolutional Neural Networks. CoRR (2020)
Mariana Pereira, Irene Fantini, Roberto de Alencar Lotufo, Letícia Rittner
An extended-2D CNN for multiclass Alzheimer's Disease diagnosis through structural MRI. Medical Imaging: Computer-Aided Diagnosis (2020)
Federica Cruciani, Lorenza Brusini, Mauro Zucchelli, Gustavo Retuci Pinheiro, Francesco Setti, Ilaria Boscolo Galazzo, Rachid Deriche, Letícia Rittner, Massimiliano Calabrese, Gloria Menegaz
Explainable 3D-CNN for Multiple Sclerosis Patients Stratification. ICPR Workshops (3) (2020)
Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR (2019)
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)
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)
Diedre Carmo, Bruna Silva, Clarissa L. Yasuda, Letícia Rittner, Roberto de Alencar Lotufo
Extended 2D Volumetric Consensus Hippocampus Segmentation. CoRR (2019)
Hugo J. Kuijf, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, J. Matthijs Biesbroek, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Jeroen de Bresser, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Rutger Heinen, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 38 (11) (2019)
Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks. Artif. Intell. Medicine 98 (2019)
Fetnanda Tamy Ishii, Franklin César Flores, Letícia Rittner
Tensorial Lucas-Kanade: An Optical Flow Estimator Based on Tensorial Color Representation and Tensorial Algebra. ISCC (2018)
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)
Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
Silver standard masks for data augmentation applied to deep-learning-based skull-stripping. ISBI (2018)
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 (2018)
Gustavo Retuci Pinheiro, Raphael Voltoline, Mariana P. Bento, Letícia Rittner
V-Net and U-Net for Ischemic Stroke Lesion Segmentation in a Small Dataset of Perfusion Data. BrainLes@MICCAI (1) (2018)
Irene Fantini, Letícia Rittner, Clarissa L. Yasuda, Roberto de Alencar Lotufo
Automatic detection of motion artifacts on MRI using Deep CNN. PRNI (2018)
Gustavo R. Pinheiro, Giovana S. Cover, Mariana P. Bento, Letícia Rittner
Automatic callosal fiber convergence plane computation through DTI-based divergence map. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2018)
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)
Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks. CoRR (2018)
Lívia Rodrigues, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
Common Carotid Artery Lumen Automatic Segmentation from Cine Fast Spin Echo Magnetic Resonance Imaging. SaMBa@MICCAI (2018)
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 (2018)
Giovana Cover, Mariana Pereira, Mariana P. Bento, Simone Appenzeller, Letícia Rittner
Data-Driven Corpus Callosum Parcellation Method Through Diffusion Tensor Imaging. IEEE Access 5 (2017)
Roberto Souza, Letícia Rittner, Rubens Machado, Roberto de Alencar Lotufo
iamxt: Max-tree toolbox for image processing and analysis. SoftwareX 6 (2017)
Mariana P. Bento, Roberto Medeiros de Souza, Roberto de Alencar Lotufo, Richard Frayne, Letícia Rittner
WMH Segmentation Challenge: A Texture-Based Classification Approach. BrainLes@MICCAI (2017)
Lívia Rodrigues, Roberto Medeiros de Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
Common Carotid Artery Lumen Segmentation from Cardiac Cycle-Resolved Cine Fast Spin Echo Magnetic Resonance Imaging. SIBGRAPI (2017)
Mariana P. Bento, Yan Sym, Richard Frayne, Roberto de Alencar Lotufo, Letícia Rittner
Probabilistic Segmentation of Brain White Matter Lesions Using Texture-Based Classification. ICIAR (2017)
Roberto Souza, Luis A. Tavares, Letícia Rittner, Roberto de Alencar Lotufo
An Overview of Max-Tree Principles, Algorithms and Applications. SIBGRAPI Tutorials (2016)
Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Xiao Xiang Zhu, Letícia Rittner, Roberto de Alencar Lotufo
Extended extinction profile for the classification of hyperspectral images. WHISPERS (2016)
Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Xiao Xiang Zhu, Letícia Rittner, Roberto de Alencar Lotufo
Extinction Profiles for the Classification of Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 54 (10) (2016)
Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Letícia Rittner, Roberto de Alencar Lotufo, Xiao Xiang Zhu
Hyperspectral Data Classification Using Extended Extinction Profiles. IEEE Geosci. Remote. Sens. Lett. 13 (11) (2016)
Mariana Leite, David G. Gobbi, Marina Salluzzi, Richard Frayne, Roberto de Alencar Lotufo, Letícia Rittner
3D texture-based classification applied on brain white matter lesions on MR images. Medical Imaging: Computer-Aided Diagnosis (2016)
Gustavo R. Pinheiro, Guilherme S. Soares, André Luis Costa, Roberto de Alencar Lotufo, Letícia Rittner
Divergence map from diffusion tensor imaging: Concepts and application to corpus callosum. EMBC (2016)
Pedram Ghamisi, Roberto Souza, Letícia Rittner, Jón Atli Benediktsson, Roberto de Alencar Lotufo, Xiao Xiang Zhu
Extinction profiles: A novel approach for the analysis of remote sensing data. IGARSS (2016)
Luis A. Tavares, Roberto M. Souza, Letícia Rittner, Rubens Campos Machado, Roberto de Alencar Lotufo
A Max-Tree Simplification Proposal and Applications for the Interactive Max-Tree Visualization Tool. SIBGRAPI (2016)
Roberto Souza, Letícia Rittner, Rubens Campos Machado, Roberto de Alencar Lotufo
A Comparison Between Extinction Filters and Attribute Filters. ISMM (2015)
Roberto Souza, Letícia Rittner, Roberto de Alencar Lotufo, Rubens Campos Machado
An array-based node-oriented max-tree representation. ICIP (2015)
Luis A. Tavares, Roberto M. Souza, Letícia Rittner, Rubens Campos Machado, Roberto de Alencar Lotufo
Interactive max-tree visualization tool for image processing and analysis. IPTA (2015)
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)
Letícia Rittner, Jayaram K. Udupa, Drew A. Torigian
Multiple fuzzy object modeling improves sensitivity in automatic anatomy recognition. Medical Imaging: Image Processing (2014)
Roberto Souza, Letícia Rittner, Roberto de Alencar Lotufo
A comparison between k-Optimum Path Forest and k-Nearest Neighbors supervised classifiers. Pattern Recognit. Lett. 39 (2014)
Roberto Souza, Letícia Rittner, Rubens Campos Machado, Roberto de Alencar Lotufo
Maximal Max-Tree Simplification. ICPR (2014)
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)
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) (2013)
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)
Roberto Souza, Roberto de Alencar Lotufo, Letícia Rittner
A Comparison between Optimum-Path Forest and k-Nearest Neighbors Classifiers. SIBGRAPI (2012)
Rubens Campos Machado, Letícia Rittner, Roberto de Alencar Lotufo
Adessowiki - Collaborative platform for writing executable papers. ICCS (2011)
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)
Letícia Rittner, André Vital Saúde, Alexandre Gonçalves Silva, Rubens Campos Machado, Mariana P. Bento, Roberto de Alencar Lotufo
Adessowiki: Collaborative Scientific Programming Environment. SIBGRAPI Tutorials (2011)
Letícia Rittner, Franklin César Flores, Roberto de Alencar Lotufo
A tensorial framework for color images. Pattern Recognit. Lett. 31 (4) (2010)
Letícia Rittner, Roberto de Alencar Lotufo, Jennifer S. W. Campbell, G. Bruce Pike
Segmentation of thalamic nuclei based on tensorial morphological gradient of diffusion tensor fields. ISBI (2010)
Letícia Rittner, Roberto de Alencar Lotufo
Segmentation of DTI based on tensorial morphological gradient. Medical Imaging: Image Processing (2009)
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)
Letícia Rittner, Roberto de Alencar Lotufo
Diffusion Tensor Imaging Segmentation by Watershed Transform on Tensorial Morphological Gradient. SIBGRAPI (2008)
Arthur Miranda Neto, Letícia Rittner, Douglas Eduardo Zampieri, Alessandro Corrêa Victorino
Nondeterministic Criteria to Discard Redundant Information in Real Time Autonomous Navigation Systems based on Monocular Vision. ISIC (2008)
Letícia Rittner, Franklin César Flores, Roberto de Alencar Lotufo
New Tensorial Representation of Color Images: Tensorial Morphological Gradient Applied to Color Image Segmentation. SIBGRAPI (2007)
Arthur Miranda Neto, Letícia Rittner, Neucimar J. Leite, Douglas Eduardo Zampieri, Roberto de Alencar Lotufo, André Mendeleck
Pearson's Correlation Coefficient for Discarding Redundant Information in Real Time Autonomous Navigation System. CCA (2007)