Letícia Rittner

89 papers B 8C 4Misc 1Journal 29Unranked 47

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Beyond Accuracy: Evaluating Fairness in Deep Learning Models for Chest X-ray Classification. SIPAIM Letícia Lopes Mendes Da Silva, Diedre Santos do Carmo, Letícia Rittner
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`	Assessing MedSAM's Generalization to White Matter Hyperintensities in Magnetic Resonance Imaging. SIPAIM Joany Rodrigues, Diedre Carmo, Letícia Rittner
2024	—	`conf`	Classification of Pulmonary Embolism on Computed Tomography Angiography Using Artificial Intelligence. ISBI Luan Silva, Maria Carolina Coradini, Guilherme Alberto Sousa Ribeiro, Thiago Fellipe Ortiz de Camargo, Paulo Victor dos Santos, Giovanna Mendes, Joselisa de Paiva, Wesley Pacheco Calixto, Letícia Rittner, Rafael Loureiro, Márcio Reis, Anderson Soares
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	—	`conf`	Enhancing fMRS Data Quality and GABA Quantification Using SpectroViT: A Deep Learning Reconstruction Approach. SIPAIM Wesna Simone B. Araujo, Ricardo Cesar G. Landim, Thiago Bulhões da Silva Costa, Elvis Lira da Silva, Gabriela Castellano, Letícia Rittner
2024	—	`conf`	FOD-Swin-Net: Angular Super Resolution of Fiber Orientation Distribution Using a Transformer-Based Deep Model. ISBI Mateus Oliveira Da Silva, Caio Pinheiro Santana, Diedre Santos do Carmo, Letícia Rittner
2024	J	`jnl`	FOD-Swin-Net: angular super resolution of fiber orientation distribution using a transformer-based deep model. CoRR Mateus Oliveira Da Silva, Caio Pinheiro Santana, Diedre Santos do Carmo, Letícia Rittner
2024	—	`conf`	Field Trial of an ML-Assisted Phase-Sensitive OTDR for Traffic Monitoring in Smart Cities. ICTON Robson A. Colares, Evandro Conforti, Letícia Rittner, Darli A. A. Mello
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`	Is DL-based Reconstruction for Fiber Orientation Distribution (FOD) Comparable to MSMT-Based FOD for Fiber Bundle Analysis? SIPAIM Natalia Vidal, Mateus Oliveira Da Silva, Diedre Carmo, Sebastián Navarrete, Pamela Guevara, Letícia Rittner
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
2024	—	`conf`	Vision Transformer MST++: Efficient Hyperspectral Skin Reconstruction. ICASSP Workshops Ana Clara C. Silveira, Diedre Santos do Carmo, Lucas H. Ueda, Denis G. Fantinato, Paula D. P. Costa, Letícia Rittner
2024	—	`conf`	VisualT5: Multitasking Caption and Concept Prediction with Pre-trained ViT, T5 and Customized Spatial Attention in Radiological Images. CLEF (Working Notes) Diedre Carmo, Letícia Rittner, Roberto A. Lotufo
2023	J	`jnl`	Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guide. CoRR Diedre Carmo, Gustavo R. Pinheiro, Lívia Rodrigues, Thays Abreu, Roberto A. Lotufo, Letícia Rittner
2023	J	`jnl`	Automatic segmentation of lung findings in CT and application to Long COVID. CoRR Diedre S. Carmo, Rosarie A. Tudas, Alejandro P. Comellas, Letícia Rittner, Roberto A. Lotufo, Joseph M. Reinhardt, Sarah E. Gerard
2023	—	`conf`	Brain Age Prediction Based on Head Computed Tomography Segmentation. MLCN@MICCAI Artur Paulo, Fabiano Filho, Tayran Olegário, Bruna Pinto, Rafael Loureiro, Guilherme Alberto Sousa Ribeiro, Camila Silva, Regiane Carvalho, Paulo Santos, Eduardo Reis, Giovanna Mendes, Joselisa de Paiva, Márcio Reis, Letícia Rittner
2023	—	`conf`	Convolutional Neural Network for Pleural Effusion Classification. LA-CCI Brunna C. R. S. Furriel, Artur Paulo, Guilherme Alberto Sousa Ribeiro, Paulo Santos, Eduardo Reis, Giovanna Mendes, Joselisa Q. Paiva, Rafael Loureiro, Letícia Rittner, Márcio Reis
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	J	`jnl`	MEDPSeg: End-to-end segmentation of pulmonary structures and lesions in computed tomography. CoRR Diedre S. Carmo, Jean Ribeiro, Alejandro P. Comellas, Joseph M. Reinhardt, Sarah E. Gerard, Letícia Rittner, Roberto A. Lotufo
2023	—	`conf`	Magnetic Resonance Spectroscopy Fitting through Spectrogram and Vision Transformers. SIPAIM Márcio Vinícius De Jesus Almeida, Gabriel Santos Martins Dias, Mateus Oliveira Da Silva, Letícia Rittner
2023	J	`jnl`	Spectro-ViT: A Vision Transformer Model for GABA-edited MRS Reconstruction Using Spectrograms. CoRR Gabriel Santos Martins Dias, Rodrigo Pommot Berto, Mateus Oliveira, Lucas H. Ueda, Sergio Dertkigil, Paula D. P. Costa, Amirmohammad Shamaei, Roberto Souza, Ashley D. Harris, 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	J	`jnl`	A benchmark for hypothalamus segmentation on T1-weighted MR images. NeuroImage Lívia Rodrigues, Thiago Junqueira Ribeiro Rezende, Guilherme Wertheimer, Yves Santos, Marcondes França, 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
2022	J	`jnl`	Open-source tool for Airway Segmentation in Computed Tomography using 2.5D Modified EfficientDet: Contribution to the ATM22 Challenge. CoRR Diedre Carmo, Letícia Rittner, Roberto A. Lotufo
2021	J	`jnl`	Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging. Comput. Medical Imaging Graph. Irene Fantini, Clarissa L. Yasuda, Mariana P. Bento, Letícia Rittner, Fernando Cendes, Roberto A. Lotufo
2021	J	`jnl`	Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets. Frontiers Neuroinformatics Mariana P. Bento, Irene Fantini, Justin Park, Letícia Rittner, Richard Frayne
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
2020	—	`conf`	An extended-2D CNN for multiclass Alzheimer's Disease diagnosis through structural MRI. Computer-Aided Diagnosis Mariana Pereira, Irene Fantini, Roberto A. Lotufo, Letícia Rittner
2020	—	`conf`	Explainable 3D-CNN for Multiple Sclerosis Patients Stratification. ICPR Workshops (3) Federica Cruciani, Lorenza Brusini, Mauro Zucchelli, Gustavo Retuci Pinheiro, Francesco Setti, Ilaria Boscolo Galazzo, Rachid Deriche, Letícia Rittner, Massimiliano Calabrese, Gloria Menegaz
2020	J	`jnl`	Hippocampus Segmentation on Epilepsy and Alzheimer's Disease Studies with Multiple Convolutional Neural Networks. CoRR Diedre Carmo, Bruna Silva, Clarissa L. Yasuda, Letícia Rittner, Roberto A. Lotufo
2020	J	`jnl`	Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils. CoRR 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
2020	—	`conf`	MultiATTUNet: Brain Tumor Segmentation and Survival Multitasking. BrainLes@MICCAI (1) Diedre Carmo, Letícia Rittner, Roberto A. Lotufo
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	J	`jnl`	Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks. Artif. Intell. Medicine Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo
2019	J	`jnl`	Extended 2D Volumetric Consensus Hippocampus Segmentation. CoRR Diedre Carmo, Bruna Silva, Clarissa L. Yasuda, Letícia Rittner, Roberto A. Lotufo
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
2019	J	`jnl`	Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR 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 Li Hsian Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels
2019	J	`jnl`	Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 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 Li Hsian 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
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	—	`conf`	Automatic callosal fiber convergence plane computation through DTI-based divergence map. Biomedical Applications in Molecular, Structural, and Functional Imaging Gustavo R. Pinheiro, Giovana S. Cover, Mariana P. Bento, Letícia Rittner
2018	—	`conf`	Automatic detection of motion artifacts on MRI using Deep CNN. PRNI Irene Fantini, Letícia Rittner, Clarissa L. Yasuda, Roberto A. Lotufo
2018	—	`conf`	Common Carotid Artery Lumen Automatic Segmentation from Cine Fast Spin Echo Magnetic Resonance Imaging. SaMBa@MICCAI Lívia Rodrigues, Roberto Souza, 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	J	`jnl`	Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks. CoRR Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo
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
2018	—	`conf`	Silver standard masks for data augmentation applied to deep-learning-based skull-stripping. ISBI Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo
2018	C	`conf`	Tensorial Lucas-Kanade: An Optical Flow Estimator Based on Tensorial Color Representation and Tensorial Algebra. ISCC Fetnanda Tamy Ishii, Franklin César Flores, Letícia Rittner
2018	—	`conf`	V-Net and U-Net for Ischemic Stroke Lesion Segmentation in a Small Dataset of Perfusion Data. BrainLes@MICCAI (1) Gustavo Retuci Pinheiro, Raphael Voltoline, Mariana P. Bento, Letícia Rittner
2017	—	`conf`	Common Carotid Artery Lumen Segmentation from Cardiac Cycle-Resolved Cine Fast Spin Echo Magnetic Resonance Imaging. SIBGRAPI Lívia Rodrigues, Roberto Medeiros de Souza, Letícia Rittner, Richard Frayne, Roberto de Alencar Lotufo
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
2017	—	`conf`	Probabilistic Segmentation of Brain White Matter Lesions Using Texture-Based Classification. ICIAR Mariana P. Bento, Yan Sym, Richard Frayne, Roberto A. Lotufo, Letícia Rittner
2017	—	`conf`	WMH Segmentation Challenge: A Texture-Based Classification Approach. BrainLes@MICCAI Mariana P. Bento, Roberto Medeiros de Souza, Roberto A. Lotufo, Richard Frayne, Letícia Rittner
2017	J	`jnl`	iamxt: Max-tree toolbox for image processing and analysis. SoftwareX Roberto Souza, Letícia Rittner, Rubens Machado, Roberto A. Lotufo
2016	—	`conf`	3D texture-based classification applied on brain white matter lesions on MR images. Computer-Aided Diagnosis Mariana Leite, David G. Gobbi, Marina Salluzzi, Richard Frayne, Roberto A. Lotufo, Letícia Rittner
2016	—	`conf`	A Max-Tree Simplification Proposal and Applications for the Interactive Max-Tree Visualization Tool. SIBGRAPI Luis A. Tavares, Roberto M. Souza, Letícia Rittner, Rubens Campos Machado, Roberto A. Lotufo
2016	—	`conf`	An Overview of Max-Tree Principles, Algorithms and Applications. SIBGRAPI Tutorials Roberto Souza, Luis A. Tavares, Letícia Rittner, Roberto A. Lotufo
2016	—	`conf`	Divergence map from diffusion tensor imaging: Concepts and application to corpus callosum. EMBC Gustavo R. Pinheiro, Guilherme S. Soares, André Luis Costa, Roberto A. Lotufo, Letícia Rittner
2016	—	`conf`	Extended extinction profile for the classification of hyperspectral images. WHISPERS Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Xiao Xiang Zhu, Letícia Rittner, Roberto A. Lotufo
2016	J	`jnl`	Extinction Profiles for the Classification of Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Xiao Xiang Zhu, Letícia Rittner, Roberto A. Lotufo
2016	C	`conf`	Extinction profiles: A novel approach for the analysis of remote sensing data. IGARSS Pedram Ghamisi, Roberto Souza, Letícia Rittner, Jón Atli Benediktsson, Roberto A. Lotufo, Xiao Xiang Zhu
2016	J	`jnl`	Hyperspectral Data Classification Using Extended Extinction Profiles. IEEE Geosci. Remote. Sens. Lett. Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Letícia Rittner, Roberto A. Lotufo, Xiao Xiang Zhu
2015	C	`conf`	A Comparison Between Extinction Filters and Attribute Filters. ISMM Roberto Souza, Letícia Rittner, Rubens Campos Machado, Roberto A. Lotufo
2015	B	`conf`	An array-based node-oriented max-tree representation. ICIP Roberto Souza, Letícia Rittner, Roberto A. Lotufo, Rubens Campos Machado
2015	—	`conf`	Interactive max-tree visualization tool for image processing and analysis. IPTA Luis A. Tavares, Roberto M. Souza, Letícia Rittner, Rubens Campos Machado, Roberto A. Lotufo
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
2014	J	`jnl`	A comparison between k-Optimum Path Forest and k-Nearest Neighbors supervised classifiers. Pattern Recognit. Lett. Roberto Souza, Letícia Rittner, Roberto A. Lotufo
2014	B	`conf`	Maximal Max-Tree Simplification. ICPR Roberto Souza, Letícia Rittner, Rubens Campos Machado, Roberto A. Lotufo
2014	B	`conf`	Multiple fuzzy object modeling improves sensitivity in automatic anatomy recognition. Image Processing Letícia Rittner, Jayaram K. Udupa, Drew A. Torigian
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	—	`conf`	A Comparison between Optimum-Path Forest and k-Nearest Neighbors Classifiers. SIBGRAPI Roberto Souza, Roberto A. Lotufo, Letícia Rittner
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	Misc	`conf`	Adessowiki - Collaborative platform for writing executable papers. ICCS Rubens Campos Machado, Letícia Rittner, Roberto A. Lotufo
2011	—	`conf`	Adessowiki: Collaborative Scientific Programming Environment. SIBGRAPI Tutorials Letícia Rittner, André Vital Saúde, Alexandre Gonçalves Silva, Rubens Campos Machado, Mariana P. Bento, 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
2010	J	`jnl`	A tensorial framework for color images. Pattern Recognit. Lett. Letícia Rittner, Franklin César Flores, Roberto A. Lotufo
2010	—	`conf`	Segmentation of thalamic nuclei based on tensorial morphological gradient of diffusion tensor fields. ISBI Letícia Rittner, Roberto A. Lotufo, Jennifer S. W. Campbell, G. Bruce Pike
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
2009	B	`conf`	Segmentation of DTI based on tensorial morphological gradient. Image Processing Letícia Rittner, Roberto de Alencar Lotufo
2008	—	`conf`	Diffusion Tensor Imaging Segmentation by Watershed Transform on Tensorial Morphological Gradient. SIBGRAPI Letícia Rittner, Roberto A. Lotufo
2008	—	`conf`	Nondeterministic Criteria to Discard Redundant Information in Real Time Autonomous Navigation Systems based on Monocular Vision. ISIC Arthur Miranda Neto, Letícia Rittner, Douglas Eduardo Zampieri, Alessandro Corrêa Victorino
2007	—	`conf`	New Tensorial Representation of Color Images: Tensorial Morphological Gradient Applied to Color Image Segmentation. SIBGRAPI Letícia Rittner, Franklin César Flores, Roberto A. Lotufo
2007	C	`conf`	Pearson's Correlation Coefficient for Discarding Redundant Information in Real Time Autonomous Navigation System. CCA Arthur Miranda Neto, Letícia Rittner, Neucimar J. Leite, Douglas Eduardo Zampieri, Roberto A. Lotufo, André Mendeleck